Forem: Aparna Sharma

10 Tips to credibility for your Saas startup in 2022

Aparna Sharma — Thu, 30 Dec 2021 09:19:11 +0000

One of the most popular business opportunities today is Software as a Service (SaaS). When it comes to building a SaaS startup with credibility from the start, it can be difficult to secure a place in the extremely competitive startup environment, as I also belong to a Saas startup that is Newsdata.io which provides news API services, and we have used many of these tips to improve our brand’s credibility.

If a new SaaS startup doesn’t achieve even a fraction of the credibility of an established business, it could quickly fall into that unfortunate majority. To keep up with the competition, startups need to work quickly to establish their credibility. To help you out, at SaaSworthy we’ve put together a list of the top 10 ways to build credibility as a new SaaS startup in 2022.

What is a SaaS startup?

SaaS (Software as a Service) startups are companies that use software to provide a service to their customers. It hosts applications and makes them available to clients via the Internet or a web application, which implies that the software is hosted on a SaaS Boot server and can be accessed remotely by the user. These companies design, develop, host, and update their own products.

Top 10 ways to build credibility as a new SaaS startup

Below are the top 10 ways to boost your credibility as a new SaaS startup in 2022. Take a close look at them to get a better understanding.

1. Make the Most of Testimonials

Using customer testimonials to increase your startup’s credibility is one of the easiest ways to do this. Testimonials are opinions of large companies, specialists, or important figures in your sector. The credibility increases as the expert’s followers notice their reviews of your product and most likely want to try it for themselves. Collect testimonials from internet reviews, social media, and polls.

Testimonials have a greater impact on the perceived trustworthiness of an online business than trust seals or even the entire reputation of the business. Share as many positive testimonials as possible. Perhaps you could devote an entire page of your business website to customer testimonials.

Consider using video testimonials instead of written testimonials. They might also work better because viewers can see the emotion in the influencer’s face and voice and as a result, they trust you more. The more a testimonial is relevant to the objectives and needs of the prospect, the more credibility it will induce.

2. Establish a Social Media Presence

You need to be present where your potential customers are, which is usually on social media sites like Facebook, Instagram, or Twitter. Potential clients often use social media to assess the legitimacy of a new startup or SaaS organization. Those who follow you on social media, actively or passively, support your brand by helping you get more people to trust you.

Make a habit of posting regularly and responding to comments and requests from your audience. Plus, enhance your social media pages by writing a compelling bio including your company logo and cover photo, updating your office hours on Facebook and LinkedIn, and sharing your contact details.

If you want to gain the trust of your audience, facilitate contact and communication with your organization. Being active on popular social media platforms is extremely crucial. Here you can help customers who contact you and engage them with news and information relevant to your business.

3. Share your accomplishments and mentions in the press

Let your customers know if your SaaS startup has been recognized at an awards ceremony or received positive publicity for a recent event. Share it with interested parties, promote it on your LinkedIn profile, and display your media mentions and awards on your website. These help to build credibility. If the media portrayed you positively, your product is probably trustworthy.

Show your results to everyone. Don’t hesitate to show your customers, suppliers, and employees that you are satisfied with your results and the progress of your business. Highlight accolades or accomplishments on your website.

A great strategy for building your media presence is to use free web services to find out about printing opportunities for your agency. They can offer advice to journalists on how to be included in news articles. Whichever way you want to advertise your results, make sure they speak to your trustworthiness.

4. Get customer feedback on your product

According to a BrightLocal survey, 57% of customers will only buy from a business with four or more stars. And 90% of them will read 5–10 product reviews online before trusting a business. Positive reviews from past and current consumers are essential for building credibility.

According to a study, 88% of customers trust online reviews as much as personal advice. Therefore, contact customers directly to ask for detailed feedback on the items they liked and offer them an incentive in return for their time. Look for reviews from happy customers and create a dedicated testimonials page on your website to show potential customers how many satisfied customers your startup has.

If a review is relevant and clearly demonstrates the benefits of using your product, it is guaranteed to build the trust of readers. It could be much more effective if it’s posted on a third-party site rather than yours.

5. Use Guest Blogs

When it comes to building your credibility, internet exposure is your gateway to success. Since building a huge number of subscribers takes time, you can leverage other people’s audiences through guest blogging on their websites. Guest blogging is one of the most effective methods of building your startup’s credibility and showcasing your brand and voice to others.

Guest blogging could help strengthen your startup’s reputation. There are several sites that welcome well-written guest contributions. Start by posting at least one highDA guest post every week and gradually increase the frequency. To increase the number of visitors to your SaaS site, include a CTA in your author profile.

Traffic from these websites could lead to visibility and leads. Use your professional knowledge to post on other blogs and websites after you have created an intriguing and well-written blog. Provide your readers with information about the industry, product advice, and other things that are helpful or answer their questions.

6. Offer free trials for your paid products

Many customers can understandably be reluctant to trust something that is still in its infancy. Additionally, 92% of customers only believe suggestions from credible sources. Give them a free trial, so they can explore all of your features to welcome them into your party and prove how great you are.

That way when you start downloading they will be better prepared and more secure to buy it. Salesforce offers consumers a 30-day free trial without the need for credit card information or software installation.

Consider offering discounts or free products to people who leave positive reviews. You can also attract more customers by offering premium versions of your product that unlock cool features when they pay extra. As a result, Dropbox increased its subscriber base from 100,000 to 400,000 by providing 16GB of storage for free as part of its referral program.

7. Leverage the reputation of your partners

You’ve probably already created a network of trusted people who are associated with your startup and believe in your value offering. You may already have a prestigious management and investor team. use it for the benefit of your startup.

Look for ways to showcase the knowledge and connections of people currently associated with your business. You can ask board members to make important phone calls or reports on your account. Invite your close circle of partners to share information about your startup on social networks and promote it on LinkedIn.

Also, offer complete profiles of members of your board of directors and testimonials from important partners on your website and in corporate communications. Don’t limit yourself to the founding team. Overestimating the scope of the collaboration or claiming an endorsement that doesn’t exist are the fastest ways to lose credibility.

8. Build high-quality backlinks

Building high-quality external links is a unique SEO technique that still matters a lot to your online credibility. Getting high-quality backlinks shows buyers that you are trusted by trusted sources. So make an effort to include backlinks to your content from credible and relevant websites.

While this does not have a direct influence on search rankings, it will increase the credibility of your material. Of course, the ideal approach to getting high-quality links is to create high-quality content that provides real added value to readers. Getting backlinks from meaningful link aggregators like sites.gov, .edu, and.org helps increase your website authority.

A well-designed landing page should have a CTA that attempts to convert visitors immediately. It is one of the most frequent and effective ways to increase the number of visits to your website. However, adding shoddy and spam links to your content can damage your site’s SEO and cause it to downgrade in search engines.

9. Use of trust seals

Business reliability is one of the most common concerns of customers, and this is especially prevalent with new SaaS startups storing sensitive data in the cloud. , 76% of customers won’t buy anything from a website if they don’t recognize the Trustmark or trust seal. These are often the deciding factors that prevent a prospect from trusting you with their money.

When you have seals from companies like McAfee or MasterCard, customers feel comfortable sharing their personal information with you because they know their data is encrypted and all payments are secure.

Having a seal of trust on your website or landing page helps build customer trust, but where it is also crucial. Next, make your trust seals visible in important areas like the lead capture form, site header/footer, and gateway checkout page so customers have reassurance every time.

10. Provide Only the Best Version of Your

Products If you want to increase your startup’s credibility over the years, you need to build and deliver the best products and services available. Make sure your product or service is of the highest quality. Consumer claim or problem with your product as soon as possible. This way, you can make sure you are providing the best product or service available.

The same goes for your customer service. You can, indeed, have an A + product, but if you don’t provide courteous, reliable, and knowledgeable customer service, your startup’s credibility will deteriorate quickly. The more information you provide about the product or service, the more likely people are to trust you with their money.

To help develop and maintain your credibility, you must deliver the best of the best to customers in everything from products to customer service. Being honest about your business is what will decide its success.

Final Thoughts

I hope I have been able to shed some light on the different ways to build credibility as a new SaaS startup with the help of this article. There is no doubt that following the methods mentioned above will help your new SaaS startup gain credibility. Commit to maintaining your credibility as much as building it.

Top 13 Web scraping tools in 2022

Aparna Sharma — Wed, 29 Dec 2021 08:42:44 +0000

Web scraping tools are software developed specifically to simplify the process of extracting data from websites. Data mining is a rather useful and commonly used process, but it can also easily turn into a complicated and messy activity and take a lot of time and effort.

So what does a web scraper do?

A web scraper uses robots to extract structured data and content from a website by extracting the underlying HTML code and data stored in a database.

In data mining, whether it’s preventing your IP address from being banned, crawling the original website properly, generating data in a compatible format, or cleaning up the data, many sub-processes are in progress. Fortunately, web scrapers and data scraping tools make this process simple, fast, and reliable.

Often, the online information to be retrieved is too large to be retrieved manually. This is why companies using web scraping tools can collect more data in less time and at a lower cost.
In addition, companies that profit from data scraping take a step forward in competing against competitors over the long term.

In this article, you will find a list of the top 13 best web scraping tools compared based on their features, price, and ease of use.

13 Best Web Scraping Tools Here’s a list of the best web scraping tools:

- Luminati (BrightData)
- Scrapingdog
- Newsdata.io
- AvesAPI
- ParseHub
- Diffbot
- Octoparse
- ScrapingBee
- Scrape.do
- Grepsr
- Scraper API
- Scrapy
- Import.io

The Web Scraper Tools search for new data either manually or automatically. They retrieve updated or new data and then archive it for easy access. These tools are useful for anyone trying to collect data on the Internet.

For example, web scraping tools can be used to collect real estate data, hotel data from major travel portals, products, pricing and review data for e-commerce websites, etc. . So basically if you are wondering ‘where can you scrape data’ these are data scraping tools.

Now let’s look at the list of the best web scratching tools in comparison to answer the question; which? the best web scraping tool?

1. Scrape.do

Scrape.do is an easy-to-use web scraper tool, which provides a scalable and fast web scraper proxy API to an endpoint. Based on affordability and functionality, Scrape.do top the list. As you will see in the rest of this article, Scrape.do is one of the cheapest web scraping tools on the market.

Unlike its competition, Scrape.do doesn’t charge any additional fees for Google and other hard-to-remove websites.

Offers the best value for money on the market for Google Scraping (SERP). (5,000,000 SERP for $ 249)

Additionally, Scrape.do has an average speed of 23 seconds to collect anonymous data from Instagram and a 99% success rate.
Its gateway speed is also 4 times that of its competitors.
In addition, this tool offers residential and mobile proxy access at half the cost.

Here are some of its other features.

Features

Includes rotating proxies; they allow you to scratch any website Scrape.do rotates every request made to the API using its proxy pool.
Unlimited bandwidth on all plans
Fully customizable
Billing only for successful requests
Geo-targeting option for more than 10 countries
JavaScript rendering that allows web pages that require JavaScript rendering to be scraped
The super proxy setting allows you to ‘extract data from websites with central IP data protection.

Pricing

Pricing plans start at $ 29 / m. The Pro plan is $ 99 / m for 1,300,000 API calls.

2. Scrapingdog

Scrapingdogis a web scraping tool that simplifies the management of proxies, browsers, and CAPTCHAs. This tool provides the HTML data of any web page with a single API call. One of the best features of Scraping dog is that it also has a LinkedIn API. Here are some other important Scrapingdog features.

Features

Rotate the IP address on every request and ignore any CAPTCHA for scraping without being blocked.
JavaScript rendering
Webhook
Chrome headless
Who is it for? Scrapingdog is for everyone who needs web scraping, from developers to non-developers.

Pricing

Pricing plans start at $ 20 / m. The JS rendering feature is available at least for the standard plan which is $ 90 / m. The LinkedIn API is only available for the pro plan ($ 200 / m.)

3. Newsdata.io

Newsdata.io is a Saas-based web tool that gives its users direct access to structured and real-time data by crawling a great deal of web news sources. It fetches news data from the most reliable news sources in the world in 30+ languages and from 50+ countries in 10+ categories.

Newsdata.io’s web news data scraping API can extract online discussions on forums and store the output data in a variety of formats, including JSON, XML, and RSS. It also has a disjointed data collection. The Newsdata.io news API can provide data with low latency but high coverage.

Features

3000+ news data sources
Export the data in JSON, Excel, CSV
Free news datasets
Customized historical news data reports

Pricing

Newsdata.io pricing plans start from $49,99/ month to customized pricing plan option, they also offer a free plan for testing and non-commercial use.

4. AvesAPI

AvesAPI is a SERP API (Search Engine Results Page) tool that allows developers and agencies to extract structured data from Google search.

Unlike the other services on our list, AvesAPI has a strong focus on the data you are going to extract, rather than a larger web scrape. Hence, it is best for SEO tools and agencies as well as for marketing professionals.

This web scraper offers an intelligent distributed system that can easily extract millions of keywords. This means leaving aside the tedious workload of manually checking SERP results and avoiding CAPTCHAs.

Features:

Get structured data in JSON or HTML in real-time
Get top 100 results from any location and any language
Geospecific search for local results
Analyze product data on purchases

Disadvantage
Because this tool was created quite recently, it’s hard to tell what real users think of the product. However, what the product promises is still great to try it out for free and see for yourself.

*Pricing *
AvesAPI’s pricing is quite affordable compared to other web scraping tools. You can also try the service for free.
Paid plans start at $ 50 per month for 25,000 searches.

5. ParseHub

ParseHub is a free web scraping tool developed for online data mining. This tool comes in the form of a downloadable desktop application. It offers more features than most other scrapers eg you can scrape and upload images/files, upload CSV and JSON files, here is a list of its other features.

Features

IP Rotation
Cloud-based for automatic data archiving
Scheduled collection (to collect data monthly, weekly, etc.)
Regular expressions to clean up text and HTML before downloading data
API and webhook for
REST API integrations
JSON and Excel format for downloads
Get data from tables and maps
Infinite scrolling pages
Get data behind an access

Pricing:

Yes, ParseHub offers a variety of features, but most of them are not included in its free plan. The free plan covers 200 pages of data in 40 minutes and 5 public projects.

Price plans start at $ 149 / m. So I can suggest that more features come at a higher cost. If your business is small, you may be better off using the free version or one of the cheaper web scrapers on our list.

6. Diffbot

Diffbot is another web scraping tool that provides data pulled from web pages. This data scraper is one of the best content extractors. It allows you to automatically identify pages with Analyze API function and extract products, articles, discussions, videos, or images.

Features

API product
Plain text and HTML
Structured search to display only matching results
Visual processing that can retrieve most non-English web pages
JSON or CSV format
API to retrieve articles, products, chats, videos, and images
Custom analytics controls
Fully hosted SaaS

Pricing:

14-day free trial. Pricing plans start at $ 299 / m which is quite expensive and a downside for the tool. However, it is up to you to decide if you need the additional features provided by this tool and to assess its profitability for your business.

7. Octoparse

Octoparse stands out as an easy-to-use, no-code web scraping tool. Provides cloud services to store the extracted data and IP rotation to prevent IP blocking. The scratching can be programmed at a specific time. In addition, it offers an infinite scrolling function. Download results can be in CSV, Excel, or API format.

For whom? Octoparse is the best solution for non-developers looking for a user-friendly interface to manage data extraction processes.

Capterra Rating: 4.6 / 5

Pricing: Free plan available with limited functionality. Pricing plans start at $ 75 / m.

8. ScrapingBee

Another popular data mining tool is ScrapingBee. It makes your webpage look like a real browser, allowing you to manage thousands of headless instances using the latest version of Chrome.

So, they claim that dealing with headless browsers as other web scrapers do is a waste of time and consumes RAM and CPU. What else does ScrapingBee offer?

Features

JavaScript rendering
Rotary proxy
General web scraping activities such as real estate scraping, price tracking, review fetching without being blocked.
Scraping search engine results pages
Growth hacking (lead generation, extraction of the contact information, or social media.)

Pricing:

ScrapingBee’s pricing plans start at $ 29 / m.

9. BrightData (Luminati)

BrightData is an open-source web scraper for data mining. It is a data collector that provides an automated and personalized data flow.

Features

Data unblocker
Nocode, opensource proxy management
Search engine crawler
Proxy API
Browser extension

Capterra Rating: 4.9 / 5

Price:

Prices vary depending on the solutions chosen: Proxy infrastructure, Data Unblocker, Data Collector, and secondary features. See the Luminati.io website for detailed information.

10. Grepsr

Developed to produce data recovery solutions, Grepsr can help your lead generation programs, as well as competitive data collection, news aggregation, and financial data collection. Web scraping for lead generation or lead scratching allows you to extract email addresses.

Did you know that using pop-ups is also a super easy and efficient way to generate leads? With the Popupsmart popup generator, you can create interesting subscription popups, set advanced targeting rules, and simply collect leads from your website.
There is also a free version.

Create your first popup in 5 minutes.
Now for Grepsr, let’s take a look at the outstanding features of the instrument.

Features

Lead Generation Data
Price and Competition Data
Financial and Market Data
Supply Chain Monitoring
Any Custom Data Requirements
API Ready
Social Media Data and More

Pricing:
Pricing plans start at $ 199 / source. It’s a bit pricey so that could be a downside. However, it depends on the needs of your business.

11. Scraper API

The Scraper API is a proxy API for web scraping. This tool helps you manage proxies, browsers, and CAPTCHAs so that you can get HTML code from any web page by making an API call.

Features

IP Rotation
Fully Customizable (Request Headers, Request Type, IP Geolocation, Headless Browser)
JavaScript Rendering
Unlimited bandwidth with speeds up to 100 Mb / s
Over 40 million
+ IPs of 12
geo-locations

*Pricing: *
Paid plans start at $ 29 / m, however, the cheapest plan does not include geo-targeting and JS rendering and is limited.
Launch plan ($ 99 / m) only includes geolocation in the US and no JS rendering. To benefit from all geolocation and JS rendering, you must purchase the business plan at $ 249 / m.

12. Scrapy

Scrapy is another tool on our list of the best web scraping tools. Scrapy is a collaborative open-source framework for extracting data from websites. It is a web scraping library for Python programmers who want to create scalable web crawlers.
This application is completely free.

13. Import.io

The Import.io web scraping tool is used to collect data on a large scale. It offers operational management of all web data providing accuracy, completeness, and reliability.

Import.io provides a builder to train your data sets by importing data from a specific web page and then exporting the extracted data to CSV format. Moreover, it allows you to create over 1000 APIs as per your requirement.

Import.io is a web-based tool with free applications for Mac OS X, Linus, and Windows.

While Import.io provides some useful features, this web scraping tool also has some drawbacks, which I must mention.

Capterra Rating: 3.6 / 5 The reason for such a low rating is its drawbacks. Most users complain about lack of support and too high costs.

Price:
Price on request by scheduling a consultation.

Original article: https://popupsmart.com/blog/web-scraping-tools

Top 10 popular sentiment analysis datasets

Aparna Sharma — Thu, 25 Nov 2021 07:47:02 +0000

Sentiment analysis has found its applications in various fields which now help companies to correctly assess and learn from their customers or clients. Sentiment analysis is increasingly used for social media monitoring, brand monitoring, voice of the customer (VoC), customer service, and market research.

Sentiment Analysis uses rules-based, hybrid, or machine-learning-based NLP methods and algorithms to learn data from datasets. The data needed for sentiment analysis must be specialized and needed in large quantities.

The hardest part of the sentiment analysis training process is not finding large amounts of data; it’s more about finding the relevant datasets. These datasets should cover a wide area of sentiment analysis and use case applications.

Below are some of the most popular datasets for sentiment analysis.

Newsdata.io news dataset

Newsdata.io provides news datasets that contain raw News data in CSV, Excel, and JSON formats. The dataset contains historical News data exactly as it is posted on the News sources along with lots of metadata such as the Title of the news, its URL, date and time, publisher, and much more. You can request the historical news data by filling this form.

The price of the Newsdata.io Historical News dataset starts from $50 and depends on the number of historical news you want and the length of the time. It is a one time cost that is liable for a single report

Amazon product data

Amazon Product Data is a subset of a large 142.8 million Amazon review dataset that was made available by Stanford Professor Julian McAuley.

This sentiment analysis dataset contains reviews from May 1996 through July 2014. Dataset reviews include ratings, text, payloads, product description, category information, price, brand, and image characteristics.

IMDB Movie Reviews Dataset

This large movie dataset contains a collection of approximately 50,000 IMDB movie reviews. Only highly polarized opinions are considered in this dataset. Positive and negative reviews are equal; however, negative reviews are rated 4 out of 10 and positive reviews are rated ≥ 7 out of 10.

Stanford Sentiment Treebank

This dataset contains just over 10,000 Stanford data from Rotten Tomatoes HTML files. Feelings are rated between 1 and 25, where one is the most negative and 25 is the most positive.

Stanford’s deep learning model was built on representing sentences based on sentence structure instead of only giving marks based on positive and negative words.

Multi-Domain Sentiment Dataset

This dataset contains positive and negative files for thousands of Amazon products. While the reviews are for older products, this data set is great to use. The data comes from the Computer Science Department at Johns Hopkins University.

Reviews contain 1 to 5-star ratings which can be converted to binary as needed.

Download original data:
Unprocessed.tar.gz
process_acl.tar.gz
Process_stars.tar.gz

Sentiment140

Sentiment140 is used to know the sentiment of a brand or product or even a topic on the social media platform Twitter. Rather than working on a keyword-based approach, which exploits high precision for lower recall, Sentiment140 works with classifiers created by machine learning algorithms.

Sentiment140 uses ranking results for individual tweets as well as the traditional surface that aggregates metrics. Sentiment140 is used for brand management, surveys, and purchasing planning.
Paper Reviews Data Set

The article review dataset contains English and Spanish reviews of computer science and computer science conferences. The algorithm used predicts the opinions of reviews of academic articles.

Most sentiment analysis data of this type is sent in Spanish. It has a total of instances of N = 405 rated on a 5 point scale, 2: very negative, 1: neutral, 1: positive, 2: very positive.
The distribution of marks is uniform and there is a difference between the way the article is rated and the review written by the original reviewer.

Twitter US Airline Sentiment

This sentiment analysis dataset contains tweets from February 2015 about each of the major U.S. airlines. Each tweet is classified as positive, negative, or neutral.

Features included include Twitter id, sentiment trust score, sentiments, negative reasons, airline name, number of retweets, name, tweet text, tweet contact details, the date and time of the tweet, and the location of the tweet.

Sentiment Lexicons For 81 Languages

Sentimental Lexicon for 81 languages contains languages ranging from Afrikaans to Yiddish. These data include both positive and negative sentimental lexicons for a total of 81 languages.

These lexicons were generated by graph propagation for sentiment analysis based on a knowledge graph which is a graphical representation of real-world objects and the relationship between them.

The general idea is that closely related words on a knowledge graph can have similar polarities. Sentiments were built on the basis of English sentimental lexicons.

Opin-Rank Review Dataset

OpinRank Review Dataset contains comprehensive reviews of cars and hotels. This dataset includes approximately 2.59,000 hotel reviews and 42,230 car reviews collected by TripAdvisor and Edmunds, respectively.

The car data set includes models from 2007, 2008, 2009 and has approximately 140,250 cars each year. Fields include dates, favorites, author names, and full-text reviews.

The dataset contains information on 10 different cities including Dubai, Beijing, Las Vegas, San Francisco, etc. There are reviews of around 80,700 hotels for each city. The fields include revision, date, title, and full revision.

Lexicoder Sentiment Dictionary

This sentiment analysis dataset is designed for use in Lexicoder, which performs the content analysis. This dictionary consists of 2,858 negative feelings words and 1,709 positive feelings words.

In addition to this, 2,860 negative words and 1,721 positive words are also included. The developers advise anyone who wants to test this to subtract the positive-negative words from the positive counts and subtract the negative words from the negative count.