Getting traction on YouTube is hard, especially when you need those early views to kickstart your videos. youtube-views-bot
offers a way to automate view counts using stealth techniques, proxies, and multi-session control.
Generates automated video views
Supports Node.js and Python codebases (you’ll find index.js and main.py)
GitHub
Comes with a Dockerfile for containerized deployment
GitHub
Provides .env.example template for configuration (video link, proxy list, timings, etc.)
GitHub
Implements randomized durations, delays, and proxy use to reduce detection risk
GitHub
Getting Started (Quick Setup)
git clone https://github.com/y-t-bot/youtube-views-bot.git
cd youtube-views-bot
Then:
Install dependencies via npm install or pip install -r requirements.txt
Copy .env.example → .env and fill in your configuration (target video URLs, proxies, delay ranges)
Run via CLI:
node index.js
or
python main.py
Or build and run with Docker:
docker build -t youtube-views-bot .
docker run --env-file .env youtube-views-bot
Start with small view volumes and test to ensure it behaves as expected.
Tips & Caution
Use rotating, high-quality proxies
Randomize viewing durations and intervals
Start with low traffic to avoid attracting detection
Monitor logs for errors or blocks
Be mindful of YouTube’s rules — automated view bots may violate platform policies
Why It’s Worth Noting
youtube-views-bot provides a strong foundation for automating view behavior with multiple languages and deployment options. It can be used for testing, research, or learning bot techniques. If you try it, consider writing a case study or tutorial — link back to the repo so others can find it and help grow the project.
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