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🕵️‍♂️ I Made a Python Script That Spies on My Own Internet Behavior

#webdev #programming #python #tutorial

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I wanted to learn something new in Python…
But I was tired of todo apps and weather scrapers. So I asked myself:

“What if I built something that watches me? Like, actually tracks my digital habits, not to judge—but to inform me how weird I really am online.”

So I did.

I made a Python script that:

  • Tracks which websites I visit
  • Logs my mouse activity
  • Records how much I type vs scroll
  • And sends me a creepy daily summary at 10PM that says:

“Hey, you spent 2.3 hours on Twitter and typed 1,489 words in VS Code. You clicked 239 times but didn’t commit anything.”

Yeah. That kind of spy.

Let me show you how I built it—and how you can tweak it to watch yourself or your friends (ethically, of course 😅).

🧰 Step 1: Tracking My Active Window

To start, I used pygetwindow and pywin32 to grab the currently focused window every few seconds.

pip install pygetwindow pywin32
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import pygetwindow as gw
import time

while True:
    window = gw.getActiveWindow()
    if window:
        print(f"Using: {window.title}")
    time.sleep(3)
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I now had a live feed of what app or site I was staring at every few seconds.

Pair this with a good logging system, and suddenly your script has memory. I stored all these titles with timestamps into a simple SQLite file.

🐭 Step 2: Spying on My Mouse and Keyboard

I wanted to know when I was working versus when I was doomscrolling. So I tracked interaction.

pip install pynput
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from pynput import mouse, keyboard

clicks = 0
keys = 0

def on_click(x, y, button, pressed):
    global clicks
    if pressed:
        clicks += 1

def on_press(key):
    global keys
    keys += 1

mouse.Listener(on_click=on_click).start()
keyboard.Listener(on_press=on_press).start()
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Now I had a real-time counter. Bonus: it felt like I was building a keylogger… for myself.

If you're doing something sneaky like this (for good), check the latest discussions on ethical scripting. They’re full of gold.

📊 Step 3: Making a Creepy Daily Report

Every night at 10PM, I wanted a message. Not an email. Not a log file. But a cold, robotic whisper.

So I installed pyttsx3 for text-to-speech:

pip install pyttsx3
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import pyttsx3

def say_summary(clicks, keys, top_sites):
    summary = f"You clicked {clicks} times, typed {keys} keys. Top sites: {', '.join(top_sites)}."
    engine = pyttsx3.init()
    engine.say(summary)
    engine.runAndWait()
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Creepy? Yes. Motivating? Even more so.

📅 Step 4: Scheduling the Madness

I used schedule to run the report nightly.

pip install schedule
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import schedule

schedule.every().day.at("22:00").do(lambda: say_summary(clicks, keys, top_sites))
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Now my computer speaks to me every night like some kind of productivity ghost.

🧪 Bonus: Visualize It Like a Hacker

For extra flair, I added terminal charts with termgraph.

pip install termgraph
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# log.csv = scrolls, clicks, keys
termgraph log.csv --color green yellow red
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It looked like I was running a spy operation from 1996. Loved it.

🧠 Why This Was Worth It

This project gave me:

  • An actual idea of how I waste time
  • Some control over my digital habits
  • And way too much fun doing something slightly mischievous with Python

It also made me explore lesser-known libraries, terminal tools, and how to track behavior in real time.

Want more weird builds like this? python.0x3d.site is where I keep finding funky inspiration:

🤖 Build Your Own Spy

If you’re bored of the usual Python tutorials, try this. Spy on yourself. Learn from it.
And maybe—just maybe—you’ll finally uninstall Twitter.

Or not. I’m not judging.
My script is. 😏

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