Engagement matters — comments help visibility, conversation, and community. youtube-comment-bot
is an open-source tool that helps you automate commenting workflows on YouTube in a safer, more controlled way.
What It Does (Key Features)
Supports Playwright / Selenium for browser control with session reuse and cookie management
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Allows templated comments using spin syntax / variants and variable injections
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Scheduling & queues (FIFO) with jittered delays to mimic human timing
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Proxy integration — you can assign proxies per task and implement retries with exponential backoff
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Handles reply threads, nested replies, with depth limits
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Accepts input in CSV/JSON formats for target URLs (videos, channels, community posts)
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Optional preview / headful mode and HTML reports to review results
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Why It’s Useful
Scale engagement: manage comments across multiple videos or accounts
Save time: batch-post or schedule replies instead of doing them manually
Better control & safety: human-like pacing and delays reduce risk signals
Flexible & configurable: supports multiple profiles, custom templates, and proxy setups
Great for agencies, creators, or growth teams wanting to streamline comment workflows
Quick Setup Guide
git clone https://github.com/y-t-bot/youtube-comment-bot.git
cd youtube-comment-bot
Then:
Install dependencies (via npm install / pip install -r requirements.txt)
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Copy README.md instructions → configure .env or config file with profiles, proxies, target URLs, comment templates
Run using Node or Python scripts (index.js / main.py)
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(Optional) Use Docker for deployment: the repo includes a Dockerfile
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Start small, test how it behaves, and gradually scale.
Best Practices & Cautions
Begin with low volume to avoid triggering YouTube’s detection systems
Always use rotating proxies
Randomize delays, comment order, and template variants
Monitor logs and responses — detect failures or bans early
Use responsibly — automated commenting can violate YouTube’s terms if misused
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