Forem: Rajat Thakur

How To Get More From Your Global News API

Rajat Thakur — Fri, 27 May 2022 10:33:02 +0000

These days the SaaS market is booming and it is going to go even further in the near future. There are many SaaS-based products being developed these days like Newsdata.io which is a news API with that you can get all the worldwide news data in a few clicks, now you don’t need to visit each and every news website to scrape their data.

This is the power of Saas-based products. People are creating web and mobile applications by using these SaaS products. In this article, we’ll discuss the top global news API for your next news-related products.

What is an API?

API is an abbreviation for Application Programming Interface. It is a software interface that allows two applications to communicate with one another without the need for user intervention.

APIs enable a product or service to communicate with other products and services without requiring knowledge of how they are implemented.

An API is said to be implemented or exposed by a computer system that meets this standard. API can refer to either the specification or the implementation.

What is a News API?

A news API is a REST API framework built on JSON that uses machine learning and NLP (Natural Language Processing) to identify relevant news sources based on your search criteria.

You can track different news publications to find news sources that mention your brand. Simply enter a keyword related to your brand or product, and the API will scrape all new articles mentioning that keyword.

Now that you have a better understanding of what a news API is, let’s look at some of its most useful applications.

Applications of a News API

Today, many developers generate integrated APIs to help companies meet their demands. In addition, companies are concerned about the satisfaction of their customers. For the company to gain value in the market.

Eventually, their brand will have more customers and recognition than time. Any business entity will provide quality services to its customers. Since they expect customers to stick with their services and the organization to achieve superior results.

Before clicking on the payment method to buy a new API. Be sure to visit their site and check out the list of apps they offer to their customers. Sometimes the value of these attributes is lower due to low customer expectations.

Or these factors may not be very beneficial to the affected customer. Any news API mentioned should provide quality factors that may be useful for your purpose as an individual or for your business. There are three main things to consider when selecting a news API.

Business Intelligence
Track Competitors
Check Brand Reputation
Market research
Sentiment analysis
Risk mitigation

Why Do You Deserve More?

As there are many news APIs providers in the market and the fact is that they all want to grab your attention and make sales. But you should analyze your options and choose the best one for you and your business. And that’s why I am here to analyze the best News API for you.

Here is the list of the top 10 best global news APIs in the market

Newsdata.io news API
NewsAPI.org
Webz.io news API
Contextual Web Search API
Newslit (Nuzzle)
HackerNews API
Gnews news API
Mediastack news API
Contify
Aylien News API

To read more about them in detail, check out this article on Global news API.

What are the 11 key factors when it comes to choosing the best News API?

How many API calls you are getting per month and per day?
How many results you are getting per API call?
Are they providing any News data analysis feature?
What are the export formats of the news data.
SLA uptime of the news API servers?
How much old historical news data do they provide?
Are they proving after-sale support?
How many dashboard features they are providing?
Are they providing other news API-related services?
How much they are charging?
How many Client libraries they are providing?

Top 5 Global News API Picks For You And Your Business

Notice: I am using the data that they are providing on their pricing page for the business plans, which you can check out their free and customized plans(if they have any).

1. Newsdata.io news API

According to the Newsdata.io pricing page, they are providing:

API calls per month: **50,000 API calls per month.
**API results per call: 50 articles results per call.
News data analysis feature: Yes they do provide a News data analysis feature included in their dashboard.
Export formats: They provide news data in JSON, CSV, and XLSX formats.
SLA uptime: 99.99% uptime
Archived global news data: They have 2 years of archived historical news data.
After-sale customer support: Yes, they provide great email customer support through.
Dashboard feature: They provide many dashboard features like news analysis, news trackers, etc.
News API-related services: Yes, they provide services like Advanced search filters, free and paid news datasets, Customized historical news data, etc.
Price: Their business plan is $299.99 per month.
Client’s libraries: PHP, and Python.

Get the News API

2. NewsAPI.org

According to the Newsapi.org pricing page, they are providing:

API calls per month: Not clearly mentioned on their pricing page.
API results per call: 250,000 API requests per month.
News data analysis feature: Not mentioned on their website
Export formats: Mainly JSON.
SLA uptime: No SLA uptime for a business plan.
Archived global news data: They do provide archived news data but are not clearly mentioned on their website.
After-sale customer support:They provide Email support.
Dashboard feature: Not any additional dashboard feature.
News API-related services: Not mentioned.
Price: $449 per month.
Client’s libraries: Node.js. Ruby, Python, Java, and C#

Get the News API

3. Webz.io news API

According to the Webz.io website, they are providing:

API calls per month: Not mentioned on their website, you have to contact their team for that.
API results per call: Not mentioned on their website.
News data analysis feature: Not mentioned on their website.
Export formats: Not mentioned on their website.
SLA uptime: Not mentioned on their website.
Archived global news data: They have to than 10 years of archived news data.
After-sale customer support: They provide Email support.
Dashboard feature: Not mentioned on their website.
News API-related services: They provide many other APIs like News, Blog, Forum, Review, and dark web API.
Price: Not mentioned on their website.
Client’s libraries: Not mentioned on their website.

Get the News API

4. Gnews news API

According to the Gnews.io pricing page, they are providing:

API calls per month: 5000 API calls per month
API results per call: 50 results per call.
News data analysis feature: Not mentioned on their website.
Export formats: JSON format.
SLA uptime: Not mentioned on their website.
Archived global news data: Not mentioned on their website.
After-sale customer support: They provide Email support.
Dashboard feature: Not mentioned on their website.
News API-related services: Not mentioned on their website.
Price: $99 per month.
Client’s libraries: Not mentioned on their website.

Get the News API

5. Mediastack news API

According to the Mediastack.com pricing page, they are providing:

API calls per month: 250,000 API calls per month
API results per call: Not mentioned on their website.
News data analysis feature: Not mentioned on their website.
Export formats: JSON format.
SLA uptime: Not mentioned on their website.
Archived global news data:Yes, they do provide archived news data.
After-sale customer support: They provide Email support.
Dashboard feature: Not mentioned on their website.
News API-related services: They do provide other news resources but they are not clearly mentioned on their website.
Price: $249.99 per month.
Client’s libraries: Php, Python, jQuery, Go, and Ruby.

Get the News API

Conclusion

I believe these are the best Global news APIs available in the market. And if you don’t find your News API in this list then don’t worry you can analyze your news API through the 10 key factors mentioned above.

As a consumer, you should always analyze all your options before making the purchase. And in this article, I have tried to make you aware of your options when it comes to buying a news API plan.

Share this with your friends if you think this article was helpful to you

Reference

https://medium.com/@digitallyrajat/top-10-best-global-news-api-for-your-next-product-1d5a78af6b71

Modern REST API design principles and rules

Rajat Thakur — Thu, 31 Mar 2022 07:00:44 +0000

Typically, when updating or developing an API like Newsdata.io which is a news API for a service to provide news data with quick response time, there are lengthy discussions about the API’s structure, naming, and functions. Although, over time, certain rules have emerged that can be applied to the process and aid in reaching a common ground while developing.

Let’s get started with some basics

What is an API?

API is an abbreviation for Application Programming Interface. It is a software interface that allows two applications to communicate with one another without the need for user intervention.

APIs enable a product or service to communicate with other products and services without requiring knowledge of how they are implemented.

It facilitates communication between the provider and the client. It is a type of software interface that provides a service to other programs. An API specification is a document or standard that describes how to build or use such a connection or interface.
An API is said to be implemented or exposed by a computer system that meets this standard. API can refer to either the specification or the implementation.

What is REST?

REST was created to work specifically with components such as media components, files, or even objects on a specific hardware device. A RestFul web service is any web service that adheres to the REST principles. For working with the required components, a Restful service would use the standard HTTP verbs GET, POST, PUT, and DELETE. REST is an acronym that stands for Representational State Transfer.

GET — requests a representation of the specified resource. Requests using GET should only retrieve data.
POST — submits data to the specified resource.
PUT — replaces all current representations of the target resource with the request data.
DELETE — deletes the specified resource.
PATCH — applies partial modifications to a resource.

When to use REST?

When designing web services, one of the most contentious issues is whether REST or SOAP should be used. In the following situations, REST services should be used:

Limited resources and bandwidth — Because SOAP messages are heavier in content and consume far more bandwidth, REST should be used when network bandwidth is limited.
Statelessness — If there is no need to keep information in a consistent state from one request to the next, REST should be used. If you need a proper information flow, where some information from one request needs to flow into another, SOAP is a better choice. We can use any online shopping site as an example. Typically, these sites require the user to first add items that must be purchased to a cart. To complete the purchase, all of the cart items are transferred to the payment page. This is an example of an application that would benefit from the state feature. The cart items’ state must be transferred to the payment page for further processing.
Caching — If a large number of requests must be cached, REST is the ideal solution. Clients may request the same resource multiple times at times. This may result in an increase in the number of requests sent to the server. The most frequently used query results can be saved in an intermediate location by implementing a cache. As a result, whenever a client requests a resource, it will first check the cache. If the resources are available, the process will not proceed to the server. As a result, caching can aid in reducing the number of trips to the web server.
Ease of coding — Coding REST Services and then implementing them is far easier than SOAP. So, if you need a quick win solution for web services, REST is the way to go.

REST is the most common API architecture in today’s world (representational state transfer). When using REST, you must adhere to JSON rules and format your requests in invalid JSON. Aside from that, a good API should adhere to the following guidelines:

APIs must be separated from the backend, data storage, client, and so on. Because of security and flexibility, it must be a separate layer.

State less — different requests should have no knowledge of one another and be processed independently. That also means that each request must include all of the information required for processing.

API should function in the same way regardless of whether a client sends a request (e.g. is it a web-server or load-balancer or any other client).

REST APIs typically send static resources, but responses can also contain executable code in rare cases (such as Java applets). In these cases, the code should only be executed when needed.

Cacheability — Resources should be cacheable on the client or server-side whenever possible. The goal is to improve client-side performance while increasing server-side scalability. However, there are special headers such as Cache-Control that can be used to control the cache behavior.

Handle errors and return the appropriate error codes. Instead of throwing an internal error to the user, handle it and send the corresponding code and message (e.g. 404 — not found.)

Remember that API should be idempotent (that means that can be invoked many times with the same result). Users can sometimes send duplicate requests to the API. These duplicate requests may have been made inadvertently (or intentionally due to timeout or network issues). As a result, APIs must be fault-tolerant in order for duplicate requests to yield the same results (only POST request is not idempotent).

To create documentation for your API, use swagger or another tool. Documentation is a critical component (if someone going to use that API someday)

There are also some good manners in naming endpoints as well:

Endpoints should be named with nouns that specify the contents of the resource rather than adding a verb for the function that is being performed (e.g., name endpoint /users and use different HTTP methods for working with the user’s entity rather than creating several endpoints like /get-user, /add-user, etc.).
Use clear names: The name of the endpoint should be clear and intuitive (do not use any shortcuts or abbreviations unless they are obvious — /ids are understandable and preferable to /identification numbers).
Forward slashes are used to create a hierarchy by grouping endpoints into logical groups (/departments/ids and /departments/managers are preferable to /departments-ids and /departments-managers).
Use only lowercase letters: Because URIs are case-sensitive (according to the specification), it is best to avoid using upper case unless absolutely necessary.
Separate words with “-”: different words in the endpoint name are usually separated by “-” rather than underscores or camel case.
Avoid special characters: URLs can only be sent and received using the ASCII character set, so it is possible to use only characters from that set (also there are some expectable but unsafe characters like “ percent ”,”[]”,”{}”,”|”,” “,”<>” and it is better to try to avoid using them as well).

The majority of REST APIs are built in conjunction with microservice architecture. In that case, an API structure like this will allow you to change the underlying logic, add or remove components, and so on without changing the communication protocol with other services.

What are the challenges in REST API?

Lack of Security — Unlike SOAP, REST does not impose any type of security. This is why REST is ideal for publicly accessible URLs, but when it comes to passing confidential data between the client and the server, REST is the worst mechanism to use for web services.

Lack of state — Most web applications necessitate the use of a stateful mechanism. For example, if you had a purchasing site with a shopping cart mechanism, it is necessary to know the number of items in the shopping cart before the actual purchase is made. Unfortunately, the client bears the burden of maintaining this state, which makes the client application heavier and more difficult to maintain.

References

How Newsdata.io news API can be helpful for your business?

Rajat Thakur — Mon, 28 Mar 2022 05:54:10 +0000

Today’s businesses require a consistent supply of market and competitor information and that is what you can do with Newsdata.io news API. The information businesses receive keeps them informed and assists them in making sound business decisions.

There are numerous news sources available on the internet.
Monitoring them, on the other hand, is a time-consuming and labor-intensive process that necessitates a dedicated team. And there are many AI and ML-based tools available in the market like Bytesview which is a sentiment analysis tool to analyze the news data that businesses receive on a daily basis.

Relevance of news APIs to your business

If you own a business, you require industry-specific news. You can obtain them by using news feed APIs such as Google News API. A news API enables you to connect your various applications to online news sources. The program makes it easier to track and analyze the data you collect, which you can then use to meet the needs of your business.

What is an API?

API is an abbreviation for Application Programming Interface. It is a software interface that allows two applications to communicate with one another without the need for user intervention.

APIs enable a product or service to communicate with other products and services without requiring knowledge of how they are implemented.

What is a News API?

A news API is a REST API framework built on JSON that uses machine learning and NLP (Natural Language Processing) to identify relevant news sources based on your search criteria.

Now that you have a better understanding of what a news API is, let’s look at some of its most useful applications.

Applications of a News API

Business Intelligence
Track Competitors
Check Brand Reputation
Market research
Sentiment analysis
Risk mitigation

Newsdata.io news API

Newsdata.io is a JSON-based news API that scraps news data from 4000+ reliable news websites in 30+ languages and more than 7 categories. Newsdata.io offers a news search feature, with that you can simply search for news data through keywords, and with advanced search filters you can filter out the unwanted data, to get useful news data, and you can download the data in CSV and XLSX format.

Key features:

Extract news data from over 4000+ trusted news sources worldwide with our news API.
Track and analyze large volumes of news data related to your organization and uncover valuable insights with our news API.
Extract valuable news data in an Excel, CSV, and JSON file along with analytical insights in a PDF report with our news API.
Get free access to NewsData.io API to develop and test personal projects with our news API.

How do you use news APIs for your business?

Many news organizations provide news APIs. You are not required to obtain all of them. The only news that is relevant to your target audience should be chosen. There are organizations that offer custom news feed APIs that can be tailored to deliver only the news that is relevant to you.

1. Creating your news website or news apps

If you are creating a news website or a news app, you can use the news APIs as your primary source of news. This is a faster method than manually aggregating the news.

2. Developing a market and competitive intelligence system

News APIs can be used to create a customized market and competitive intelligence system. The system can integrate the various news feed APIs with the intranet portal of the organization. They can also integrate it with their CRM, KMS, and ERP. By constantly delivering industry-relevant news, the organization can make informed business decisions.

3. Monitoring and tracking other companies

This functionality is important for multinational corporations. It can help them learn more about other companies and their activities that may have an impact on their business.

There are several reasons why news APIs can benefit your business. You can use them to collect data, gather business intelligence, create new services or products, or aggregate industry news. They enhance the functionality of the applications you intend to create. Similarly, they can provide your website visitors with up-to-date information.

Reference

https://newsdata.io/breaking-news-api
https://www.intelligenthq.com/how-useful-are-news-feed-apis-to-your-business/?utm_source=contentideas&utm_medium=referral&utm_campaign=ci
https://rajat-testprepkart.medium.com/top-15-news-apis-in-the-market-in-2022-for-you-91d88751cdd7

How to Use the Newsdata.io News API to Boost Competitive Intelligence

Rajat Thakur — Tue, 22 Mar 2022 05:57:11 +0000

Most businesses are rightfully concerned with providing their customers with the best possible product or service. For us at Newsdata.io news API, it certainly feels like a full-time job.

However, no organization is an island. There is a larger world beyond the walls of any business. A market in which that business operates, and (I’m afraid to say) competitors who want to help your customers in similar but subtly different ways.

A company that does not pay attention to its competitors will not last long. Indeed, there are numerous lessons to be drawn from this tragic tale of corporate demise. But there’s no denying that a failure to notice and respond to what was going on around them played a role.

In short, the business failed to recognize the direction of the wind and (famously) underestimated the new kid on the block Netflix.

They were lacking in competitive intelligence. And the rest, as they say, is history. If you want to avoid the same fate, or if you want to help others avoid it, keep reading.

What is competitive intelligence?

Most of us believe we understand our competitors and, as a result, the concept of ‘competitive intelligence.’ In layman’s terms, it’s “ensuring we know what a shortlist of our direct competitors are doing.” That is part of the story, but it is not the whole picture.

To gain a better understanding of competitive intelligence, it is helpful to first gain a better understanding of competition itself. While we often think of our competitors as other businesses that sell similar products to us, this isn’t entirely correct.

In fact, research from the Society of Competitive Intelligence Professionals (SCIP) estimates that an unknown player currently outside the industry will pose the greatest competitive threat to any given business 91% of the time.

Competition is better defined as follows on this basis:
“Any other way our customer can reap the benefits of our product or service.”

To give just one example (of an infinite number), mobile games may be viewed as a competitor to newspapers because they both help us pass the time while waiting in line. When we consider competition in this light, competitive intelligence expands to include:

The activities and events involving our direct competitors
Changes in market conditions, technology, and consumer behavior may have an impact on our success, as well as news about emerging new competitors that pose a threat to our current market position.

At this point, it should be clear that competitive intelligence is a broad field, and staying on top of all potential sources of competition is difficult. Let us now discuss how we might go about doing so.

Identifying meaningful competitive intelligence
If you are fortunate enough to have a small number of competitors, each with a distinct name, competitive intelligence is simple. The majority of the work will be done for you by Google News alerts.
Unfortunately, as we have seen, that is not the case in real life.
In fact, every company must be aware of constantly changing market characteristics, new competitors, and more traditional competitive activity. It should be obvious that this is not a job that can be adequately covered by standard alerts.

It is also not a task that a team of analysts, no matter how large or dedicated, could reasonably be expected to perform, at least not without outside assistance. Even for organizations that are in the business of selling competitive intelligence platforms (many of which are Bytesview customers), this is not a viable option.
Fortunately, such outside assistance is available in the form of thousands of journalists, bloggers, reporters, and researchers who publish news and opinions about business (and indeed the wider world) every day.

We will have competitive intelligence worthy of the name if we identify, classify, and share the content relevant to our specific challenge within this output — whether for our own business or for sharing with customers.

This is why the Newsdata.io News API was created. It allows organizations to scan the horizon for relevant news content as it emerges and track the evolution of topics as they unfold.

Newsdata.io, in particular, ensures that the right competitive intelligence content is delivered to the right people in a timely and accurate manner. It works like this, but any solution you want to implement should aim to do something similar:

Aggregate news data from thousands of sources worldwide and make it available via a single news API to ensure that nothing of significance is missed, including specialist publications and longtail sites, as well as those in languages other than English, to ensure that competitive intelligence is not limited solely to stories covered by mainstream media.
Natural language processing should be performed on each article ingested to add structure to unstructured content, making it exponentially easier and more efficient to find the relevant news you’re looking for. The Newsdata.io News API NLP features entity tagging for over thousands of entities, from different categories and industries, sentiment analysis at the entity and document levels, and extensive metadata extraction.
Clean, structured news data in JSON as an output that can be easily delivered to wherever it is required, so that the competitive intelligence your company (or client) requires is available to be consumed in feeds, dashboards, or sites as needed.
Of course, in order for such a system to work, it must first understand what the company (or client) is looking for. It is important to remember the broad nature of the challenge here: when establishing the entities and categories that you wish to monitor, do not focus solely on the obvious, but on the larger context.

The right way to react to competitive intelligence

It is one thing to gather competitive intelligence. What to do with this knowledge is a completely different story. A blog post like this cannot hope to provide a comprehensive primer on how to navigate the competitive landscape (if only it were that simple), but it is possible to share some thoughts and recommendations, such as:

Keep everything in context. It is easy to become obsessed with competition. However, delivering a great product and keeping customers satisfied remains the key to success. It is critical not to overreact to every event, but rather to carefully assess its significance first — it may have very little.
Keep an eye out for ‘emerging risk.’ That said, it is especially important to recognize and respond too slowly emerging trends that may not seem significant today but can become an existential threat if left unchecked. Understanding and identifying precisely what these threats may look like requires imagination and creativity, which is, of course, part of the challenge.
Be open to new experiences. One of the lessons of the Blockbuster story is that the company became so enamored with its way of doing things that it became unable to change in response to a new set of circumstances. Large organizations may find it difficult to avoid this trap, but do everything possible to create an agile, responsive organization. Alternatively, as independent entities within a larger corporate structure, incubate new ways of doing things.
Recognize the power of mutual forbearance.’ With due respect to Isaac Newton, not every action necessitates an immediate and opposite reaction. Consider where your organization succeeds and where it fails. Defend the former vehemently, but be willing to give up markets (either geographical or vertical) if it makes sense and puts you in a better overall position.
When you DO move, move quickly. It takes experience and judgment to know when to respond. However, if you realize a response is required, don’t put it off any longer. Ensure that your organization is set up to make tactical decisions quickly and to communicate a new approach in the same manner.

Reference

Newsdata.io
Bytesview.com
https://aylien.com/blog/how-news-api-supercharges-competitive-intelligence

What Is The Difference Between Web Scraping And API

Rajat Thakur — Wed, 16 Mar 2022 06:12:48 +0000

The internet is not only a source of information but also a wealth of data that has the potential to transform many business processes. Application programming interfaces (APIs) like Newsdata.io which is a news API that fetches news data from our news database and web scraping are two common methods for obtaining data from the web.

We will explain how the two solutions work and compare them in terms of benefits and technical dependencies in this guide. We will also provide examples of which is a better option for specific business use cases and websites such as Amazon, Twitter, and Instagram.

What is the difference between web scraping and API?

Web scraping bots collect all of the content from a publicly accessible web page, such as text, images, or videos, and save it as a data file. It’s similar to taking a screenshot of a website and analyzing different aspects of the image. The web scraper is the main player in this case.

The APIs create an automated data pipeline between a website and the requester, focusing on a specific section of the website’s content. Data can be retrieved automatically or manually on demand. It’s similar to a subscription in that you get new content on a regular basis. APIs involve both the website and the recipient.

Which one is less technical?

This is determined by whether the website allows APIs or web scrapes, as well as whether your solution is built in-house. The availability of readily available tools is a significant difference between APIs and web scraping. APIs frequently necessitate that the data requester creates a custom application for the specific data query.

On the other hand, there are numerous external web scraping tools that do not require any coding. Some of them are free browser extensions that scrape the web page you’re on, while others are paid service providers that scrape data from your target websites using readily available templates. Let’s get into more specifics.

1. Solution availability

The API technology should be provided by the website from which you want the data. If they don’t support an API, this isn’t an option, to begin with. You can learn about the availability of a specific website, whether it is free or paid after a certain limit, by visiting the specific website you are interested in or API repositories.

The website does not have to support web scraping technically. A general rule of thumb is that if you find a website through a search engine, you can scrape it. The website, on the other hand, should allow its content to be scraped. This is accomplished by the website stating what can and cannot be scraped in their robot.txt file, where the data owner either grants or denies permission to data scraping.

2. Access to data

Even if an API is available, the API may not have access to all of the data. The website will specify the scope and granularity of the data you can pull in the API documentation. For example, LinkedIn provides a limited API for pulling only the basic information from people’s profiles, and if you want to access the full profile information, you must justify your use case.

Technically, any content on a publicly accessible website can be scraped. However, the scraper must adhere to the data limitations specified by the website in their terms and conditions. A web scraper, for example, can extract any information from a person’s public LinkedIn profile.

3. Technical difficulty

APIs will require you to write custom code that includes your access keys and specifies the data you require. Websites will frequently provide an API guide, but even this will necessitate a basic understanding of data query code, such as running the query in a coded notebook, understanding API response codes, or specifying parameters to access the required data. This work can be delegated to a developer, but using an external tool for APIs to extract data from various platforms is uncommon.

Building a web scraper from scratch requires coding skills as well, but unlike API, there are more readily available tools that allow you to scrape data without coding. This is frequently due to the fact that websites frequently have similar foundational structures that web scrapers can recognize, and websites must be scraped by search engines in order to be ranked in searches. As a result, web scraping is a practice that is repeated for similar websites or the same website across multiple requesters.

4. Stability

One advantage of APIs is that, because it is authorized to access to data, the requester does not have to worry about being identified as a malicious actor and can expect assistance from the websites if the API fails unexpectedly.

Web scrapers can be blocked by websites because they increase traffic to the site. To overcome this challenge, web scrapers use a technology known as dynamic proxies to change the origin of their requests.

5. Cost

APIs can be either free or paid, depending on how the data provided by the website can be used commercially. If the API is for a service that you already pay for, such as analytics, it is likely that the API will be free. However, even free APIs may charge after a certain amount of data has been consumed in order to control the volume of requests.

For example, the Google Maps API is initially free, but if you intend to host thousands of customer queries based on map data on your platform, you will need to pay a variable amount based on your volume.

Web scraping can be done for free if you develop your own solution or use an open-source solution, such as a browser extension. However, if you use an external provider, there will be a variable cost or you will have to sign up for a subscription plan. Many web scraping solutions provide a free trial or dataset sample for businesses to evaluate the return on investment of such an investment.

6. Data Cleaning

API query outputs can be extremely complex, and you will frequently need to parse the data that you require. However, if the API allows for greater granularity, you may be able to target the specific data point you require while minimizing additional data processing.

Web scraping retrieves all of the content on a web page. If you only need a specific part of a web page, such as the price of a product page, you must use rigorous data parsing to filter the data you require. It is a time-consuming task to complete in-house, but external web scrapers frequently provide processed data that is ready for analysis.

7. Legal Implications

APIs are provided by the website from which you require data. As a result, pulling data via API is completely legal as long as you follow their API guidelines and do not share your API access with any other party.

Web scraping is legal as long as the scraper abides by the terms and conditions specified in the website’s robot.txt file. If a company uses an in-house solution, they should double-check this step or hire an outside service provider to benefit from their experience. Check out our in-depth post on the legal and ethical implications of web scraping.

Advice on when to use which solution

Use APIs

If you require data from a service with which you collaborate and they support API for the data you require, you may be able to obtain technical assistance to build an API data pipeline.
If you need data from a page that is not publicly accessible, such as your analytics data for a paid analytics solution that is only available to you, API is frequently the only option.

Use web scrapers

If you need data from a popular website, such as Amazon or Twitter, you can save time by using pre-existing web scraper solutions rather than obtaining API access.

If you are unsure about the business value of the data, you can obtain a sample using free web scraping tools or a free trial with web scraping services and decide whether to invest in API or web scraper in the long run.

Original article: https://research.aimultiple.com/web-scraping-vs-api/?utm_source=contentideas&utm_medium=referral&utm_campaign=ci

Reference

1. News API = Newsdata.io/register

Top 15 News APIs In The Market In 2022 For You

Rajat Thakur — Fri, 11 Mar 2022 05:57:28 +0000

What is an API?

API is an abbreviation for Application Programming Interface. It is a software interface that allows two applications to communicate with one another without the need for user intervention.

APIs enable a product or service to communicate with other products and services without requiring knowledge of how they are implemented.

An API is said to be implemented or exposed by a computer system that meets this standard. API can refer to either the specification or the implementation.

What is a News API?

A news API is a REST API framework built on JSON that uses machine learning and NLP (Natural Language Processing) to identify relevant news sources based on your search criteria.

Now that you have a better understanding of what a news API is, let’s look at some of its most useful applications.

Applications of a News API

Business Intelligence
Track Competitors
Check Brand Reputation
Market research
Sentiment analysis
Risk mitigation

Top 15 News APIs in the market in 2022

1. Newsdata.io news API

Newsdata.io is a JSON-based news API that scraps news data from 4000+ reliable news websites in 30+ languages and more than 7 categories. Newsdata.io offers a news search feature, with that you can simply search for news data through keywords, and with advanced search filters you can filter out the unwanted data, to get useful news data, and you can download the data in CSV and XLSX format.

Key features:

Extract news data from over 4000+ trusted news sources worldwide with our news API.
Track and analyze large volumes of news data related to your organization and uncover valuable insights with our news API.
Extract valuable news data in an Excel, CSV, and JSON file along with analytical insights in a PDF report with our news API.
Get free access to NewsData.io API to develop and test personal projects with our news API.

2. NewsAPI.org

The News API is a simple API that allows you to search over 30,000 news outlets worldwide. For instance, you can use the API to learn about trending stories in the New York Times, new articles published about a product, or a company recently reviewed by a blog.

The News API allows you to search for published articles using keywords or phrases, languages, publication source names, publication dates, and publication source domain names. You can also sort the results by the date of publication, the popularity of the publication source, or the relevance of the search keyword.

The News API is free to use for non-commercial purposes. It does, however, have some limitations, such as access to delayed new articles, snippet article content, and a daily limit of 1,000 requests. Pricing for commercial purposes, which has fewer restrictions, begins at $449 per month.

3. Webz.io news API

Webz.io is constantly consuming news data from over 1 million sources in 76 languages from across the internet. Then, in near real-time, it employs NLP to extract the meaning and sentiment behind each article, story, and image.

Finally, this data is structured and enriched so that machines can read it quickly and easily. Data is collected on a daily basis, resulting in near-real-time results.

4. Contextual Web Search API

Contextual Web distinguishes itself from other search engines such as Google and Bing by indexing web pages in a manner similar to how the brain indexes memories, resulting in the formation of a brain-like network of knowledge based on the World Wide Web. You can use this news API to create a general news app or a news app focused on a specific topic.

5. Newslit (Nuzzle)

Nuzzel Media Intelligence, a news monitoring and research product for business professionals was launched earlier this year. Nuzzel’s News Search API is used to power this new product. Nuzzel Media Intelligence examines millions of shared links that pass through the Nuzzel system to determine which of those links are considered high-quality news sources by the company.

The system automatically adds sites to a list of news sources, which is then scanned on a regular basis. At the moment, the system scans over 100,000 news sources and nearly one million stories per day.

6. Newscatcher

The Newscatcher API enables developers to find news articles from major news sources and blogs based on any topic, country, language, website, or keyword. The Newscatcher API features simple integration and niche-specific content.

7. HackerNews API

Many developers are already familiar with Hacker News (HN), but for those who aren’t, it’s a social news website run by Y Combinator. The site primarily shares news stories about computer science and entrepreneurship. Hacker News has partnered with Firebase to provide near-real-time access to HN data.

The Hackers News API returns up to 500 top and new stories in near real-time, as well as the best stories. Up to 200 show HN, Ask HN, and Job stories are returned by the technology news API. An ID is assigned to items such as stories, comments, jobs, and other HN information. Each item also has some properties such as a URL, title, item type, time (creation date), text, and by (username of the author).

8. Bing News Search API

The Bing News Search API simplifies the integration of Bing’s news searching capabilities into applications. Developers can use the Bing News Search API to search and discover top stories from various news sources and blogs based on specific keywords and categories. The content can be sorted by topic, publisher, and location.

9. New York Times News API

The New York Times is a popular American news publication that provides a variety of public news APIs. The New York Times Article Search API lets you search for articles based on keywords. You can narrow down your search by using filters and facets.

It should be noted that this only provides access to NYT articles. Because this is one of the most well-known publications and has readers from all over the world, their data, despite being limited to a single publication, is rich.

10. Gnews news API

GNews is an API that allows you to search for articles from various sources. This API also provides top headlines that can be filtered by topics, such as world, business, or sports. You can also narrow down your search by specifying parameters such as language, country, and so on.

11. Mediastack news API

Mediastack is a straightforward API for news and blog posts. With this free news API, you can access live news feeds, discover trends and headlines, monitor brands, and learn about breaking news events all over the world. This API also allows for customization and is extremely simple to implement.

Notable feature: It is available in 13 different languages.

12. Contify

Rather than a keyword-based feed that includes everything, Contify’s News Feed API provides a clean, company-based intelligence feed that includes only business and industry-relevant information. Contify uses a hybrid approach that combines machine learning technology with human curation to deliver data that is de-duplicated, enriched, and actionable.

Contify’s API contains data from over 200k sources, including company websites, online news, social media, and review websites.

13. Aylien News API

Aylien’s news API provides clean, ingestible structured data feeds of the world’s news. Every minute, the tool’s NLP models understand and tag thousands of articles. Trend analysis, global coverage, and topic tagging for 4000+ categories are among the other features.

Keep you up to date with custom webhooks and push notifications.

14. Guardian API

The Guardian is a British newspaper known for providing up-to-date news, sports information, commentaries, and opinions from around the world.

The Guardian Content API allows developers to programmatically access the content available on the publication’s web portal and create amazing applications. From 1999 to the present, the API has stored over two million different pieces of content — articles, audio, videos, and images.

It provides endpoints for retrieving a variety of items, such as the API’s content, the tags used, the available sections, and the editions found in the publication’s database. Furthermore, the API results can be filtered using a variety of parameters to meet any requirement.

The API is free to use for non-commercial purposes. However, the API is priced differently for commercial use, depending on the use case.

15. Yahoo news API

You can use the API to tap into the power of Yahoo Search engine technology and data to provide your users with up-to-date news from around the world. You can use the API to tap into the power of Yahoo Search engine technology and data to provide your users with up-to-date news from around the world.

You can use the API to tap into the power of Yahoo Search engine technology and data to provide up-to-date news from around the world to your users.

Final thoughts

These are the top 15 news APIs in the market according to me and this is not ‘The’ list this “A’ list of best news APIs in 2022. Visit our Newsdata.io website to get real-time news data and analyze news sources in your industry.

You can take advantage of our free trial session to gain a better understanding of the concepts mentioned. Purchase as you progress through your projects. We offer high-quality datasets that may be useful to your company. I hope you find this article useful.

References

What Are The Different Types Of Web Scraping Approaches?

Rajat Thakur — Fri, 04 Mar 2022 05:59:36 +0000

The importance of Web scraping is increasing day by day as the world is depending more and more on data and it will increase more in the coming future. And web applications like Newsdata.io news API that is working on Web scraping fundamentals. More and more web data applications are being created to satisfy the data-hungry infrastructures.

Why Web Scraping is Popular?

Web scraping offers something extremely valuable that no other method can provide: structured web data from any public website.
The true power of data web scraping lies in its ability to build and power some of the world’s most revolutionary business applications, rather than simply being a modern convenience.

‘Transformative’ doesn’t even begin to describe how some businesses use web scraped data to improve their operations, from executive decisions to individual customer service experiences.

What is web scraping?

Web scraping is an automated method of obtaining large amounts of data from websites. Most of this data is unstructured data in HTML format, which is then converted into structured data in a spreadsheet or database so that it can be used in various applications. there are many ways to perform web scraping to get data from websites.

These include using online services, special APIs, or even creating code for web scraping from scratch. Many large websites, such as Google, Twitter, Facebook, StackOverflow, etc. have APIs that allow you to access your data in a structured format.

This is the best option, but there are other sites that do not allow users to access large amounts of data in a structured form or are simply not technologically advanced. In this situation, it is best to use tape scraping to scrape the website for the data.

This is the best option, but there are other sites that do not allow users to access large amounts of data in a structured format or are simply not technologically advanced enough. In that case, it’s best to scrape the website for data using Web Scraping.

Web scraping necessitates the use of two components: the crawler and the scraper. The crawler is an artificial intelligence algorithm that searches the web for specific data by following links across the internet.

A scraper, on the other hand, is a tool designed to extract data from a website. The scraper’s design can vary greatly depending on the complexity and scope of the project in order to extract data quickly and accurately.

How does web scraping work?

Web scrapers can extract all of the data on a specific site or the data that a user desires. Ideally, you should specify the data you want so that the web scraper extracts only that data quickly.

For example, you may want to scrape an Amazon page for the different types of juicers available, but you may only want information about the models of different juicers and not customer reviews.

When a web scraper needs to scrape a site, the URLs are provided first. The scraper then loads all of the HTML code for those sites, and a more advanced scraper may even extract all of the CSS and Javascript elements.

The scraper then extracts the necessary data from the HTML code and outputs it in the format specified by the user. The data is typically saved in the form of an Excel spreadsheet or a CSV file, but it can also be saved in other formats, such as a JSON file.

What is Data Scraping Good for?

Web data extraction, also known as data scraping, has numerous applications. A data scraping tool can help you automate the process of quickly and accurately extracting information from other websites. It can also ensure that the extracted data is neatly organized, making it easier to analyze and use in other projects.

Web data scraping is widely used in the world of e-commerce for competitor price monitoring. It’s the only practical way for brands to compare the pricing of their competitors’ goods and services, allowing them to fine-tune their own pricing strategies and stay ahead of the competition.

It’s also used by manufacturers to ensure retailers follow pricing guidelines for their products. Web data extraction is used by market research organizations and analysts to gauge consumer sentiment by tracking online product reviews, news articles, and feedback.

In the financial world, there are numerous applications for data extraction. Data scraping tools are used to extract information from news stories, which are then used to guide investment strategies.

Similarly, researchers and analysts rely on data extraction to assess a company’s financial health. To design new products and policies for their customers, insurance and financial services companies can mine a rich seam of alternative data scraped from the web.

The list of web data extraction applications does not stop there. Data scraping tools are widely used in news and reputation monitoring, journalism, SEO monitoring, competitor analysis, data-driven marketing and lead generation, risk management, real estate, academic research, and a variety of other applications.

What can I use instead of a scraping tool?

To obtain information from websites like news websites, you’ll need some kind of automated web scraping tool or data extraction software like Newsdata.io news API for all but the smallest projects.

In theory, you could manually copy and paste data from individual web pages into a spreadsheet or another document. However, if you’re trying to extract information from hundreds or thousands of pages, you’ll find this tedious, time-consuming, and error-prone.

A web scraping tool automates the process by efficiently extracting the web data you require and formatting it in some sort of neatly organized structure for storage and further processing.

Another option is to purchase the data you require from a data services provider, who will extract it on your behalf. This would be useful for large projects with tens of thousands of web pages.

Web Scraping Techniques

The most common techniques used for Web Scraping are

Human copy-and-paste.
Text pattern matching.
HTTP programming.
HTML parsing.
DOM parsing.
Vertical aggregation.
Semantic annotation recognizing.
Computer vision web-page analysis.

Human Copy-and-Paste

Manually copying and pasting data from a web page into a text file or spreadsheet is the most basic form of web scraping. Even the best web-scraping technology cannot always replace a human’s manual examination and copy-and-paste, and this may be the only viable option when the websites for scraping explicitly prohibit machine automation.

Text Pattern Matching

The UNIX grep command or regular expression-matching facilities of programming languages can be used to extract information from web pages in a simple yet powerful way (for instance Perl or Python).
HTTP Programming

Static and dynamic web pages can be retrieved by using socket programming to send HTTP requests to a remote web server.

HTML Parsing

Many websites contain large collections of pages that are dynamically generated from an underlying structured source, such as a database. A common script or template is typically used to encode data from the same category into similar pages. A wrapper is a program in data mining that detects such templates in a specific information source, extracts its content, and converts it to a relational form.

Wrapper generation algorithms assume that the input pages of a wrapper induction system follow a common template and can be identified using a URL common scheme. [2] Furthermore, semi-structured data query languages such as XQuery and HTQL can be used to parse HTML pages as well as retrieve and transform page content.

DOM Parsing

More information: Object Model for Documents, Programs can retrieve dynamic content generated by client-side scripts by embedding a full-fledged web browser, such as Internet Explorer or the Mozilla browser control. These browser controls also parse web pages into a DOM tree, which programs can use to retrieve portions of the pages. The resulting DOM tree can be parsed using languages such as Xpath.

Vertical Aggregation

Several companies have created vertically specific harvesting platforms. These platforms generate and monitor a plethora of “bots” for specific verticals with no “man in the loop” (direct human involvement) and no work related to a specific target site. The preparation entails creating a knowledge base for the entire vertical, after which the platform will create the bots automatically.

The robustness of the platform is measured by the quality of the information it retrieves (typically the number of fields) and its scalability (how quickly it can scale up to hundreds or thousands of sites). This scalability is primarily used to target the Long Tail of sites that common aggregators find too difficult or time-consuming to harvest content from.

Semantic Annotation Recognizing

The scraped pages may include metadata, semantic markups, and annotations that can be used to locate specific data snippets. This technique can be viewed as a subset of DOM parsing if the annotations are embedded in the pages, as Microformat does. In another case, the annotations are stored and managed separately from the web pages, so scrapers can retrieve data schema and instructions from this layer before scraping the pages.

Computer Vision Web-Page Analysis

There are efforts using machine learning and computer vision to identify and extract information from web pages by visually interpreting pages as a human would.

Reference

Top 11 API Testing Tools For 2022

Rajat Thakur — Tue, 01 Mar 2022 06:16:37 +0000

My team is created a RESTful API that is Newsdata.io news API to fetch and download news data and we have used a few of these API testing tools to test our APIs that is why I am sharing a list of the top 11 API testing tools in 2022.

With the rise of cloud applications and interconnected platforms, API testing has become critical. Many of the services we use on a daily basis rely on multiple interconnected APIs, so if even one of them fails, the entire service is jeopardized. API testing has become essential for software developers in order to ensure that APIs perform as expected.

The number of API testing tools available today can be overwhelming, so how do you choose the best one? Don’t worry, we’ve compiled a list of the best API testing tools to help you get your work done faster. Let’s go over the fundamentals of API testing before we look at the top 15 API testing tools in 2022.

What is an API?

API is an abbreviation for Application Programming Interface. It is a software interface that allows two applications to communicate with one another without the need for user intervention.

APIs enable a product or service to communicate with other products and services without requiring knowledge of how they are implemented.

An API is said to be implemented or exposed by a computer system that meets this standard. API can refer to either the specification or the implementation.

Features of API

An API acts as a go-between, facilitating data exchange between two different applications.
An API makes it easier to embed content from any website or application.
It allows a company or user to personalize the content and services they use the most.
APIs anticipate future software changes (updates).
APIs are simple, adaptable, and simple to use.
It offers excellent developer support.
APIs that do not function efficiently and effectively, regardless of whether they are free to use, will never be adopted. As a result, API testing is critical because API testing improves the overall effectiveness of a testing strategy, resulting in faster software development.

What is API Testing?

API (Application Programming Interface) testing directly tests APIs to determine whether or not the API developed meets certain requirements in terms of application functionality, performance, security, and reliability. API testing, in essence, detects bugs, inconsistencies, or deviations from an API’s expected behavior.

Unlike GUI (Graphical User Interface) tests, API tests are primarily concerned with the Business logic layer of the software architecture rather than the look and feel of the application.
It is critical for software companies to have a product that meets expectations.

In this regard, API testing is critical for integration testing because it determines whether or not the business logic is followed correctly. Because API testing is a complicated subject, we cannot test it manually and must instead rely on API testing tools. As a result, you should use the best API testing tools available.

Top API Testing Tools

1. Postman

Postman, which began as a Google Chrome plug-in, has evolved into one of the most popular API testing tools. With the primary goal of testing API services, it has expanded its services to include native Windows and Mac versions. In either case, it’s an excellent choice for exploratory or manual testing. You can use Postman to monitor APIs, automate tests, debug, and run requests. It has a lot of features, it’s free, and it’s highly rated by users.

Feature

Postman supports the creation of Boolean tests without the use of a command line.
Postman’s interface can be used to extract API data.
This platform includes built-in tools that allow you to interact with an API, collections that allow you to automate tests, debug, monitor APIs, and run requests, and workspaces that allow you to collaborate.
APIs can be designed using the Swagger and RAML (RESTful API Modeling Language) formats.
A user-friendly REST client.

2. SoapUI

SoapUI is a functional testing tool that is the world’s leading SOAP and REST testing solution. It essentially functions as a headless API testing tool. With SoapUI’s user-friendly graphical interface and enterprise-class features, you can quickly and easily create and execute automated functional, regression, and load tests.

SOAPUI supports a variety of protocols and technologies for testing all types of APIs. The SOAPUI interface is simple to use, so both technical and non-technical users can benefit from it.

Feature

Its point-and-click and drag-and-drop functionality simplifies complex tasks (such as working with JSON and XML) and allows for the rapid creation of tests.
Loading data from Excel, files, and databases allows you to simulate how customers interact with your APIs.
The free package provides access to the complete source code of SoapUI.
Data-driven testing is effective because it loads data from databases, Excel spreadsheets, and files to simulate user interaction with APIs.
Data-driven testing is supported by SoapUI.
REST (Representational State Transfer), SOAP (Simple Object Access Protocol), JMS (Java Messaging Protocol), JDBC (Java Database Connectivity), and numerous other protocols are supported.

3. Apigee

Apigee is a cross-cloud API development and management tool provided by Google. Apigee allows its users to access its features through other editors such as Swagger. Users can use Swagger to measure, test, build, and support APIs. It also added TLS (Transport Layer Security) security, Open API 3.0 support, virtual host management improvements, and more software support to provide users with even more flexibility when managing their APIs. The application allows you to create and configure API packages, revenue models, reports, payment gateways, and integrations with developer portals.

Feature

To identify performance issues, monitor API traffic, error rates, and response times.
Allows you to create and deploy API proxies in the cloud using the Open API Specification.
On-premises (in a private cloud) or in the cloud, with a hybrid deployment model used occasionally.
There is a customizable developer portal as well as Node.js support.
Apigee is capable of handling APIs with a large amount of data.

4. Tricentis Tosca

Tricentis Tosca makes it simple to incorporate continuous testing into Agile and DevOps. It is a software testing tool that supports HTTP, AMQP (Advanced Message Queuing Protocol), SOAP (Simple Object Access Protocol), and many other protocols.

Multiple aspects of software testing (test case design, automation, data generation, and analytics) are used in this approach to analyze GUIs and APIs from a business standpoint. It provides comprehensive test case functionality to ensure an efficient test management process. It enables no-code, script-free end-to-end test automation.

Feature

With model-based test automation, maximizes reuse and simplifies scrip maintenance.
Allows API tests to be run across mobile, cross-browser, and packaged apps to provide end-to-end testing.
Ensures that regression tests are completed in a timely and efficient manner.
Test managers can use this tool to perform manual testing without having to set up Tosca environments.
Through the use of new technology, it is possible to achieve long-term automation.

5. Katalon Studio

Katalon Studio is a free tool for automating web service, application, and mobile app testing. It is quickly becoming the go-to tool for API/Web services testing because it offers the comprehensive solution that developers and testers require. It includes all frameworks, ALM integrations, and plugins in a single package, making deployment a breeze. It provides an API testing platform that is simple to use for anyone.

Feature

It supports commands and parameterizes functions in addition to SOAP (Simple Object Access Protocol) and REST (Representational State Transfer) requests.
It enables the integration of UI and API/Web services across multiple platforms, including Windows, Mac OS, and Linux.
AssertJ, one of the most powerful assertion libraries, should be supported so that you can create fluent assertions in a BDD style.
This can be used for both automated and exploratory testing.
The approach based on data is encouraged.

6. JMeter

JMeter is an open-source tool developed by Apache that is used to analyze and test the performance of software applications, products, and services. Originally designed for load testing, this tool is now widely used for functional API testing. There is a plethora of API testing functionality available, as well as additional features to enhance the process. This tool can be used to test JDBC database connections as a unit-testing tool. JMeter version 5.4 was released in December 2020, with bug fixes and core enhancements.

Feature

Users can include API tests in CI pipelines by integrating JMeter with Jenkins.
The tool is extremely adaptable, allowing testers to tailor it to their specific needs.
It can be used to test performance with both dynamic and static resources.
It is ideal for working with CSV files and enables teams to create unique parameter values for testing.
It runs load and performance tests on a wide range of server platforms.

7. Rest-Assured

If you want to test RESTful services in Java, you should look into Rest-assured. It is an open-source platform that provides Java domain-specific languages to make testing REST services easier. It is frequently used to test JSON and XML-based applications.

Feature

Users do not need to write code from scratch because of its built-in functionality.
It provides a number of authentication methods for testing and validating a secure API.
It supports all HTTP methods, but it also explicitly supports several command types, including POST, GET, PUT, DELETE, OPTIONS, and PATCH.
Supports the Serenity automation framework’s seamless integration.
It supports Given/When/Then test notation, which immediately makes your tests human-readable.

8. Assertible

Assertible offers simple and dependable API uptime and performance monitoring. It continuously tests web services and places a premium on automation and dependability. Assertible announced Encrypted variables in October 2019, a new feature that provides a new option for storing tokens, passwords, and secret fields required for API testing. It has long been recognized as a dependable API tool.

Feature

Assertible supports the automation of API tests at every stage, from continuous integration to the delivery pipeline.
API tests can also be run after the application has been deployed.
Integrations with tools such as GitHub, Slack, and Zapier, among others, are possible.
Support HTTP response validation with turn-key assertions such as JSON Schema validation and JSON Path integrity checks.
Users no longer have to manually update their tests after adding new parameters or changing the API response as a result of the Sync feature.
Assertible makes API testing simple and effective.

9. Karate DSL

Karate DSL is a unified framework for testing API automation, mocks, performance, and load. It has never been easy to create test scenarios for API-based BDD. Karate, on the other hand, already has all of the step definitions written for developers, so we don’t have to worry about writing them ourselves.

This tool, created by Intuit, is specifically designed for automated API testing. This tool does not require users to have any programming skills. However, having a basic understanding of HTTP, JSON, XML, XPath, and JsonPath is advantageous.

Feature

Tests can be written in virtually any language that supports HTTP, JSON, or XML.
It has strong assertion capabilities.
Configuration switching and staging, as well as parallel multi-threading execution, are all supported.
Testing and report generation are supported in the same way that other Java projects are.
With this tool, users can reuse payload data and user-defined functions across tests.
This tool does not necessitate any programming knowledge.

10. Swagger

Swagger is a web-based API testing tool that allows users to test functionality, security, and performance directly from the open API specification. Swagger tooling and the Ready API platform make it easier to quickly create, manage, and execute API tests. Swagger assists you throughout the API lifecycle.

Feature

Swagger Inspector allows you to inspect API response requests and ensure they function properly.
Import user API definitions to validate schema rules.
Automatically generating assertions against endpoints and injecting synthetic data into parameters.
Creating complex load scenarios in order to evaluate API performance.
All types of services are supported, including REST, SOAP, and GraphQL.

11. ReadyAPI

ReadyAPI is a no-code API testing platform that is designed to simplify your testing workflows. You can test RESTful, SOAP, GraphQL, and other web services for functionality, security, and load using SmartBear’s ReadyAPI platform. API functional testing, API performance testing, API security testing, and API & Web virtualization are just a few of the tools available with this user-friendly platform. By utilizing this platform, you can ensure the quality of all web services from beginning to end. You will also be able to create data-driven and comprehensive API tests.

Feature

With its Smart Assertion feature, this tool can quickly generate bulk assertions against hundreds of APIs.
It natively supports Git, Jenkins, Docker, Azure, and other services.
There is also command-line support for automated testing.
Parallel execution is available for both functional tests and job queues.
Furthermore, it includes features and functionalities that enable the reuse of functional tests as well as the generation of realistic load scenarios.
During testing and development, ReadyAPI also allows you to remove dependencies.

Conclusion

API testing has established a trend for automated testing as software development teams become more technologically oriented. More tools will be developed to meet these requirements.

Regardless of how difficult it is to find a tool that can do everything, adopting a toolset that meets a company’s needs while increasing revenue is critical. Before choosing one, consider how each API testing tool may be better suited for specific purposes and what features are essential for your software development workflows.

References

Top API Testing Tools in 2022

Rajat Thakur — Wed, 23 Feb 2022 06:28:06 +0000

What is an API?

API is an abbreviation for Application Programming Interface. It is a software interface that allows two applications to communicate with one another without the need for user intervention.

Like a web application that I am associated with Newsdata.io news API. APIs enable a product or service to communicate with other products and services without requiring knowledge of how they are implemented.

API is required for a software item’s legitimate integrations, functionality, and performance. An error in API integration and security can cost software a significant amount of functionality, performance, and strength.

To avoid making these errors, programmers and developers conduct API testing adjustments. API testing is a type of software testing in which APIs are checked and tested to ensure optimal performance and functionality. It is a critical stage in the software development process because the strength and consistency of the end result are heavily reliant on optimal API arrangements.

There are a few manual and automated API testing tools available for evaluating APIs for optimal integration, strength, performance, and so on.

Best API Testing Tools

RapidAPI
RapidAPI is the most prominent name on our list. It is the largest API commercial center, with over 1,000,000 programmers and developers relying on it for automated API testing. RapidAPI enables simple coordination with external groups. It is an open-source and free stage.

RapidAPI allows developers to run API testing on inward APIs as well, and there is no limit to the number of APIs that can be tested through the stage. It helps with the creation and management of stable APIs, from development to sending.

Postman
Postman is yet another dependable, stable, and cost-effective option for API testing. It is available in both web and work area formats. Its straightforward user interface and precise announcing have bolstered its position in the software testing niche.

Karate DSL
Karate DSL, an open-source stage proficient for API robotization tests, is worked with an alluring yet basic point of interaction to enable programmers and software investigators to run API tests effectively and without issue.

Katalon Studio
Katalon Studio is an effective and performance-driven API testing tool that is one of the most incredible web administrations test tools. It is an open-source stage that can test web, mobile, and desktop applications. It provides complete adaptability to software testers throughout the various stages of the API testing process.

ReadyAPI
ReadyAPI is another well-known API testing tool. Smartbear created and owns it, and it serves as a web administration launcher as well as an API testing tool. It has an intelligent dashboard that ensures efficient announcements throughout the testing system.
With such a plethora of important and ideal conveniences, the stage is ideal for DevOps and Agile teams.

SoapUI
SoapUI is a reliable and viable solution for programmers and software quality examiners. It is an essential asset for computerized API testing. It allows for the testing of SOAP, GraphQL, REST, and web administrations.

ACCELQ
ACCELQ is a cloud-based API testing tool with a quick testing stage. The stage is useful for API testing as well as functional testing. It eliminates the need to write code that is bound together. The additional assistance for chain API tests makes it a complete solution for software quality experts.

Apigee
Apigee is an API testing tool that works across multiple clouds. It is a critical and valuable tool for running API tests on software in a thorough and precise manner. It improves the precision and consistency of tests. Apigee has a few APIs that executives highlight in addition to API testing.

It has an in-built function for detecting anomalies in the framework by following API traffic, reaction times, and error rates. Apigee gives clients simple control focuses and does not give them difficult control focuses.

Apigee is a Java-controlled stage that supports Node.js. It can also be effectively combined with editors such as Swagger to create APIs. It enables programmers to effectively screen, communicate, and plan APIs. Furthermore, the developer entrance can be adjusted.

JMeter
Apache JMeter is a free and open-source framework. It comes with a slew of useful features to help you get through the API testing process. The stage is designed to alleviate dangers and increase the client’s comfort. JMeter also supports per-string treats.

JMeter is brimming with features that enable developers to replay test results in order to aid in bug discovery. It can also work with CSV files, which helps to fill out group joint efforts and collaborations. This facilitates the creation of exceptional boundary values for API testing in a timely and proficient manner.

Its integration with Jenkins enables rapid integration of CI pipelines. The stage can be used with both static and unique assets. JMeter enables clients to work with a wide range of programming dialects and does not impose any constraints on test configurations. It includes a Groovy library and is commonly used by developers to run JDBC data set association tests.

Conclusion

API testing is a critical component of the software testing process. Programmers, developers, and software analysts who collaborate to create a stable software product use a variety of tools to ensure the product’s quality.

In such a case, getting API testing right is one of the most important factors in determining whether a software item will be a success or a failure. From this list of recently reviewed web API testing tools, one can compare the tools to choose the best and get the best ROI by selecting an ideal tool for API testing.

References

Best Practices and Advantages of REST APIs

Rajat Thakur — Thu, 17 Feb 2022 08:17:37 +0000

In this article, I am going to share the best practices and the advantages of REST APIs, as I am working with a team on a REST-based web application. Newsdata.io news API is a REST-based API that fetches news data from thousands of news websites in JSON format. Therefore, I have a basic understanding of REST APIs that I am going to share with you.

What is an API?

API is an abbreviation for Application Programming Interface. It is a software interface that allows two applications to communicate with one another without the need for user intervention.

APIs enable a product or service to communicate with other products and services without requiring knowledge of how they are implemented.

What is a Web Service?

A Web service is a set of open protocols and standards for exchanging data between systems or applications.

Software applications are written in a variety of programming languages and run on a variety of platforms. It enables the use of web services to exchange data across computer networks.

A web service is a collection of open-source protocols and standards that are used to exchange data between systems or applications, whereas an API is a software interface that allows two applications to interact with each other without the need for user intervention.
Web services are used for REST, SOAP, and XML-RPC communication, whereas APIs are used for any communication style.
The HTTP protocol is supported by web services only, whereas the HTTP/HTTPS protocol is supported by APIs.
The web service supports XML, whereas the API supports both XML and JSON.
Web services are all APIs, but not all APIs are web services.

Types of Web Services

Web services should be deployed in a variety of ways. SOAP and RESTful web services are the two most common types of web services.

*SOAP *— SOAP is a protocol that existed prior to the introduction of REST. The main motivation for developing SOAP was to ensure that programs written in various platforms and programming languages could securely exchange data.

*REST *— This was created specifically for working with media components, files, or even objects on a specific hardware device. A RESTful web service is any web service that adheres to the REST principles. For working with the required components, REST employs the standard HTTP verbs GET, POST, PUT, and DELETE.

REST aims to improve performance, scalability, simplicity, modifiability, visibility, portability, and reliability. This is accomplished by adhering to REST principles such as client-server architecture, statelessness, cacheability, the use of a layered system, code-on-demand support, and the use of a uniform interface.

Advantages of REST-based APIs

REST eliminates many of SOAP’s drawbacks, such as the requirement for clients to understand operation semantics as a precondition for using it, or the use of different ports for different types of notifications. Furthermore, REST can handle a large number of resources, whereas SOAP requires a large number of operations to accomplish this.

REST has the following advantages:

It is usually simple to construct and modify.
Low resource utilization.
Process instances are explicitly created.
The client does not need routing information with the initial URI.
For notifications, clients can use a generic ‘listener’ interface.

Best Practices for Rest API

While developing and testing Rest API, I will highlight best practices for both developers and testers.

API Endpoint Naming

The names of the endpoints should be referred to as nouns, and their actions should be referred to as methods.
If you use verbs with nouns like ‘CreateUser,’ ‘DeleteUser,’ and ‘GetUser,’ you will generate a large number of endpoints.

Assuming you have the ‘/users’ endpoint, you should specify it as follows:

To create a user — /users with post action
To fetch user details — /users with GET action It will also aid in the reduction of documentation maintenance for API endpoints.

Exposing Minimum Permissions and Using Correct Methods

Always grant the bare minimum of permissions to an endpoint. For example, if an API endpoint is only used to receive or fetch information, do not add any additional API level PUT or POST methods to plan for the future.

Using Proper Versioning in API

1. Standard HTTP status codes
REST API, as we know, is built on top of the HTTP protocol. It is always preferable to use a unified standard response status so that all team members are on the same page.

2. Validation on the API level
Endpoints should always be validated using both positive and negative scenarios.
If you’ve created an endpoint, always try to reach it by changing the method and name of its action. Send requests with no mandatory fields in the body.

3. Proper response messages and error handling
It all boils down to providing users with the correct HTTP status code. If the error occurs on the client-side, it should always fall into the 4xx class. If an error occurs on the server, it should always be in the 5xx class.

If you send a request URL that does not exist on the server, it should always return a 404 with a proper log message. If you call an endpoint with an invalid action type, it should always return a 405 with the correct message in the response body and not expose the stack trace.

4. Considering security aspects
To protect the server from DDoS attacks, it is always beneficial to limit the number of requests from a single host. Use a secure authorization and authentication mechanism, as well as the HTTPS protocol, at all times. If you’re going to use a JWT token in your project, make sure it doesn’t contain any sensitive client data.

5. Documentation
Having API documentation for your project is extremely beneficial. To be an effective engineer, you must ensure that everything is properly documented. Swagger and Slate are commonly used for API documentation as best practices.

References:

Top 5 web scraping tools you should know in 2022

Rajat Thakur — Mon, 14 Feb 2022 10:00:36 +0000

In this article, I’ll discuss what is web scraping, How do web scraping works, explain how we can use it legally, and list five of the best tools including Newsdata.io news API to extract news data without any coding, by simply searching and downloading the data in CSV, XLSX, and JSON format.

What is web scraping?

How does web scraping work?

Web scrapers can extract all of the data on a specific site or the data that a user desires. Ideally, you should specify the data you want so that the web scraper extracts only that data quickly.
For example, you may want to scrape an Amazon page for the different types of juicers available, but you may only want information about the models of different juicers and not customer reviews.

Some applications of web scraping

Web scraping has a wide range of applications and does not require repetitive typing or copy-pasting. It can be used in an infinite number of scenarios. Marketers, for example, use it to improve the efficiency of their processes.

1. News monitoring

News Monitoring and analysis are becoming increasingly popular as the volume of online daily produced information grows. It can save you time and help you track topics of interest with pinpoint accuracy and timing. Newsdata.io is a great tool to search, fetch and download the news data in JSON, CSV, XLSX format and analyze the data for valuable insights.

2. Tracking prices

You can monitor your competitors’ prices and optimize your price strategy by collecting information about products and their prices on Amazon and other platforms.

3. Market and competitive intelligence

Gathering and analyzing data can help you make an accurate and confident decision if you’re actively looking to enter a new market and want to determine your opportunity.

4. Social listening

Some social media listening and tracking platforms include Talkwalker, HootSuite, and Brandwatch.

5. Machine learning (ML)

While ML and AI are used to improve the performance of data scraping tools, the other half of the web scraping-ML relationship is also true.

The web is an important data source for machine learning algorithms. You can feed your machine learning model by extracting public data at scale.

6. Website transitions

It is not uncommon for businesses to migrate their websites to more modern environments. Companies with large outdated websites that contain a lot of critical information (e.g., government websites) may want to use a web scraper to quickly and easily export data from their legacy websites onto their new platforms in this case.

News sites, websites, review sites, blogs, and social networks are all sources of news monitoring.

7. Analyzing the performance of your content

If you’re a blogger or content creator, you can use a web scraper to export data about your posts, videos, tweets, and so on into a spreadsheet by following the steps outlined in the video above.
It is more useful to have your data in a table format than to simply view it in the browser view.

Top 5 web scraping tools

Here is the list of the 5 best web scraping tools you can use to scrap news data from news websites.

1. Newsdata.io news API

Newsdata.io is a JSON-based news API that scraps news data from 3000+ reliable news websites in 30+ languages and more than 7 categories. Newsdata.io offers a news search feature, with that you can simply search for news data through keywords, and with advanced search filters you can filter out the unwanted data, to get useful news data, and you can download the data in CSV and XLSX format.

Key features:

Extract news data from over 3000 trusted news sources worldwide with our news API.
Track and analyze large volumes of news data related to your organization and uncover valuable insights with our news API.
Extract valuable news data in an Excel, CSV, and JSON file along with analytical insights in a PDF report with our news API.
Get free access to NewsData.io API to develop and test personal projects with our news API.

2. Octoparse

Octoparse is an easy-to-use tool for retrieving web data for programmers and non-programmers. It offers a free plan and a trial version for a paid subscription.

Key Features:

Manage all websites: with infinite scroll, pagination,
login, drop-down menu, AJAX, etc.
Access to extracted data via Excel, CSV, JSON, API or save to database.
Cloud Service — Scrape and access data on Octparse’s cloud platform.

3. ScrapingBee

The ScrapingBee API handles headless browsers and spins proxies. It also has a dedicated Google search scraping API.

Key Features:

JS Rendering
Automatic Proxy Rotation
Can be used directly on Google Sheets and with Chrome web browser.
Support Google search scraping.

4. ScrapingBot

ScrapingBot provides APIs tailored to different scraping needs: an API for scraping raw HTML from a page, an API specialized in scraping retail websites, and an API for scraping property listings from real estate websites.

Key Features:

Render JS (Headless Chrome).
High-quality proxy.
Full-page HTML.
Up to 20 simultaneous requests.

5. Scrapestack

Scrapestack is a REST API for real-time web scraping. Delete web pages in milliseconds, managing millions of proxy IPs, browsers and CAPTCHAs.

Key Features:

Allows concurrent API requests.
Supports CAPTCHA solving and JS rendering.
HTTPS encryption.
100+ geolocations.

Final thoughts

Data scraping has a wide range of applications that go beyond simply moving data from one location to another.

Whether you’re a software developer, a data scientist, a machine learning enthusiast, a marketer, or a startup, leveraging this practice can help you gain intelligence and efficiency while also boosting your business.

What are the legality and myths of web scraping?

Rajat Thakur — Tue, 08 Feb 2022 10:01:15 +0000

Contrary to popular belief, web scraping is not a shady or illegal activity. That is not to say that any form of web scraping is legal. It, like all human activity, must adhere to certain parameters.

Personal data and intellectual property regulations are the most important boundaries in web scraping, but other factors, such as the website’s terms of service, can also play a role.

Continue reading to learn more about the legality of web scraping. We will go over the most common points of confusion one by one and provide you with some helpful hints to keep your scrapers compliant and ethical.

If you scrape data that is publicly available on the internet, web scraping is legal. However, some types of data are protected by international regulations, so be cautious when scraping personal information, intellectual property, or confidential information. To create ethical scrapers, respect your target websites and use empathy.

Common myths related to web scraping

Before we begin, let’s clear up a few misconceptions. We sometimes hear that “web scrapers operate in a legal grey area.” Or that “web scraping is illegal, but no one enforces it because it is difficult.” Sometimes even “web scraping is hacking” or “web scrapers steal our data” is used. This has been confirmed by clients, friends, interviewees, and other businesses. The problem is, none of this is true.

Myth 1: Web scraping is illegal

It all comes down to what you scrape and how you scrape it. It’s a lot like taking pictures with your phone. In most cases, it is perfectly legal, but photographing an army base or confidential documents may land you in hot water. Web scraping is essentially the same thing. There is no law or rule that prohibits web scraping. However, this does not imply that you can scrape everything.

Myth 2: Web scrapers operate in a grey area of law

No, not at all. Legitimate web scraping companies are regular businesses that adhere to the same set of rules and regulations that everyone else must adhere to in order to conduct their respective business. True, web scraping is not heavily regulated. However, this does not imply anything illegal. On the contrary.

Myth 3: Web scraping is hacking

Although the term “hacking” can refer to a variety of activities, it is most commonly used to describe gaining unauthorized access to a computer system and exploiting it. Web scrapers use websites in the same way that a legitimate human user would. They do not exploit vulnerabilities and only access publicly available data.

Myth 4: Web scrapers are stealing data

Web scrapers only collect information that is freely available on the internet. Is it possible to steal public data? Assume you see a nice shirt in a store and take a note of the brand and price on your phone. Do you believe you stole the information? You wouldn’t do it. Yes, some types of data are protected by various regulations, which we’ll discuss later, but other than that, there’s nothing to worry about when gathering information such as prices, locations, or review stars.

How to make ethical scrapers

Even if the majority of the negative things you hear about scraping are untrue, you should still exercise caution. To be honest, you should exercise caution when conducting any type of business. Web scraping is no different. Personal data is the most important type of data to avoid scraping before consulting with a lawyer, with intellectual property a close second.

This is not to say that web scraping is risky. Yes, there are rules, but you can use empathy to determine whether your scraping will be ethical and legal. Amber Zamora suggests the following characteristics for an ethical scraper:

The data scraper behaves like a good web citizen, not attempting to overburden the targeted website.
The copied information was public and not protected by a password authentication barrier.
The information copied was primarily factual in nature, and the taking did not infringe on another’s rights, including copyrights; and
The information was used to create a transformative product, not to steal market share from the target website by luring away users or creating a product that was significantly similar.

Think twice before scraping personal data

Not long ago, few people were concerned about personal data. There were no rules, and everyone was free to use their own names, birthdays, and shopping preferences. In the European Union (EU), California, and other jurisdictions, this is no longer the case.

If you scrape personal data, you should definitely educate yourself on the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), and your local laws.
Because regulations differ from country to country, you must carefully consider where and whose data you scrape. In some countries, it may be perfectly acceptable, whereas, in others, personal data should be avoided at all costs.

How do you know if you should apply GDPR, CCPA, or another regulation? This is a simplification, but GDPR will apply if you are from the EU, do business in the EU, or the people whose data you want are from the EU. It is a comprehensive regulation. The CCPA, on the other hand, only applies to California businesses and residents. We use it as a point of comparison and because it is ground-breaking legislation in the United States. Wherever you are, you should always check the privacy laws of your home country.

What is personal information?

The GDPR defines personal data as “any information relating to an identified or identifiable natural person.” That’s a little difficult to read, but it gives us an idea of how broad the definition is. If it relates to a specific human being, almost anything can be considered personal data. The definition in the CCPA is similar, but it refers to personal information. To keep things simple, we’ll only use the term “personal data.”

Publicly available personal data

A sizable portion of the web scraping community believes that only private personal data is protected, whatever that means, and that scraping personal data from publicly available sources — websites — is perfectly legal. It all depends.

All personal data is protected under GDPR, and it makes no difference where the data comes from. A European Union company was fined a hefty sum for scraping public data from the Polish business register. The fine was later overturned by a court, but the ban on scraping publicly available data was explicitly upheld.

The CCPA considers information made available by the government, such as business register data, to be “publicly available” and thus unprotected. HiQ vs. LinkedIn is a significant case in the United States involving the scraping of publicly available data from social networks. We’re still waiting for the final decision, but preliminary results support the idea of scraping personal information that the person made public.

The California Privacy Rights Act (CPRA) will take effect in 2023, broadening the CCPA’s definition of publicly available information. Data that the subject previously made public will no longer be protected. This effectively allows the scraping of personal data from websites where people freely share their personal data, such as LinkedIn or Facebook, but only in California. We anticipate that other US states will be inspired by the CCPA and CPRA in developing their own privacy legislation.

How to scrape personal data ethically

Once you are certain that you are not harming anyone with your scratching, you need to analyze which regulations apply to you. If you are a business in the EU, the GDPR applies to you even if you want to collect personal data from people elsewhere in the world. As an EU business, you need to do your research.

Sometimes it’s okay to go ahead for a legitimate interest, but more often than not you’ll need to pass this personal data collection project on to your non-EU partners or competitors. On the other hand, if you’re not an EU company, if you’re not doing business in the EU, and you’re not targeting people in the EU, you’ll be fine. Also be sure to check local regulations, such as the CCPA.

Finally, you must program your scrapers so that they collect as little personal data as possible and only keep them temporarily. Creating a database of people and their information (eg for lead generation) is a very difficult case in secure jurisdictions, while pulling people from Google Maps reviews to automatically identify fake reviews, then deleting personal data could easily pass the legitimate interest test.

Scraping copyrighted content

Almost everything on the internet is protected by copyright in some way. Some things stand out more than others. Music, movies, or photos? Sure, you’re safe. Articles in the news, blog posts, social media posts, or research papers? Also safeguarded. HTML code for websites, database structure and content, images, logos, and digital graphics? All of these things are copyrighted. The only thing that is not protected by copyright is simple facts. But what does this have to do with web scraping?

If a piece of content is copyrighted, it means that you can’t make copies of it without the author’s permission (license) or legal permission. Because scraping is defined as copying content, and you almost never have the author’s explicit consent, legal permissions are your best bet. As is customary, laws differ from one country to the next. We will only talk about EU and US regulations.

Conclusion

So, is it legal to scrape websites? It’s a complicated problem, but we’re convinced of it, and we hope this brief and daringly simplified legal analysis has persuaded you as well. We also believe that web scraping has a promising future. We are witnessing a gradual but steady paradigm shift in the acceptance of scraping as a useful and ethical tool for gathering information and even creating new information on the internet.

In the end, it’s nothing more than the automation of work that would normally be performed by humans. Web scraping simply accelerates and improves the process. Best of all, it frees up people’s time to devote to more pressing matters.
Original blog: https://blog.apify.com/is-web-scraping-legal/