Handling video views at scale—whether for load testing, research, or automation learning—can be complex. youtube-view-bot
is a toolkit built to simulate YouTube view traffic with control, proxies, and stealth.
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What youtube-view-bot Offers
Automated generation of video views
Proxy compatibility (residential, datacenter, mobile)
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Headless & visible browser modes (via Playwright/Selenium)
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Randomized watch durations and intervals
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Multi-session orchestration
Easy configuration through .env files
Docker support for scalable deployment
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Why It’s Useful
Testing & research: Evaluate how YouTube behaves under various traffic patterns
Automation learning: Study proxy rotation, browser fingerprinting & session control
Performance benchmarking: Stress-test page load, video streams, analytics
Educational value: Great for developers working in browser automation and network simulation
Quick Setup Guide
git clone https://github.com/y-t-bot/youtube-view-bot.git
cd youtube-view-bot
Then:
Install dependencies (either Python or Node.js)
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Duplicate .env.example → .env and fill in configuration
Run via python main.py or node index.js
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Or build/run using Docker:
docker build -t youtube-view-bot .
docker run --env-file .env youtube-view-bot
Best Practices & Warnings
Start with small volume to avoid detection
Rotate proxies frequently
Use randomized timings to look human-like
Monitor logs for errors or bans
Use this for research, testing, or educational purposes—not misuse
Final Thoughts
youtube-view-bot is a robust automation tool for simulating YouTube view behavior. Whether you're doing analytics research, stress testing, or learning automation, this repo offers a solid foundation. Give it a ⭐ on GitHub, try it out, and share your experience — your traction helps the project grow.
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