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Ashan_Dev
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🦈 Pull Shark Automation: Create 62 GitHub PRs/min with Python

#python #github #automation #opensource

What Is Pull Shark Automation?

Ever wanted to earn the GitHub Pull Shark badge — or stress-test your CI/CD pipelines by generating hundreds of pull requests automatically? Meet Pull Shark Automation, an open-source Python framework built for exactly that.

⚠️ Disclaimer: This tool is for educational purposes only. Use responsibly and in accordance with GitHub's Terms of Service.

GitHub's Pull Shark badge is awarded when your PRs get merged — Default (2 PRs), Bronze (16), Silver (128), and Gold (1024). Doing that manually is tedious. Doing it at 62 PRs/minute? That's automation.

✨ Key Features

  • Dual execution modes — Sequential (stable) and Parallel (blazing fast, async)
  • Multi-token rotation — Automatically switches GitHub tokens to stay within rate limits
  • Proxy support — Built-in proxy scraping and rotation from free sources
  • Auto-merge — PRs are created and merged without manual intervention
  • State persistence — Resume from interruptions via state.json
  • Real-time notifications — Discord & Slack webhook support
  • Windows compatible — Async operations work cross-platform

🏗️ Architecture Overview

The project is cleanly modularized:

main.py                    # Sequential mode entry point
parallel_automation.py     # Parallel/async mode
git_manager.py             # Git branch, commit, push
github_tool.py             # GitHub CLI wrapper + rate limiting
token_manager.py           # Multi-token rotation
proxy_manager.py           # Proxy scraping & rotation
notifier.py                # Discord & Slack webhooks
logger.py                  # Dual-output logging
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The high_performance/ package provides async-first versions of all the above for maximum throughput.

🚀 Quick Start

1. Clone & Install 

git clone https://github.com/itxashancode/Pull-Shark-Automation.git
cd Pull-Shark-Automation
pip install -r requirements.txt
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2. Authenticate GitHub CLI 

gh auth login
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3. Configure config.json 

{
  "repo_path": ".",
  "base_branch": "main",
  "pr_count": 100,
  "delay_seconds": 30,
  "auto_merge": true,
  "dry_run": false,
  "max_concurrent": 10
}
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4. Run 

# Sequential (reliable)
python main.py

# Parallel (fast)
python parallel_automation.py --count 100 --concurrent 10

# Dry run (test without commits)
python main.py --dry-run
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⚡ Performance Benchmarks

Mode Workers Tokens Speed Time for 1000 PRs
Sequential 1 1 ~2 PRs/min ~8 hours
Parallel 10 1 ~36 PRs/min ~28 min
Parallel 20 3 ~62 PRs/min ~16 min

With 3 GitHub tokens and 20 parallel workers, the tool hit 62.5 PRs/min in real-world testing.

🔑 Multi-Token Setup

Add multiple tokens to github_tokens.json for automatic rotation — each GitHub token supports 5,000 requests/hour, so 3 tokens gives you 15,000+/hour:

{
  "tokens": [
    { "name": "Primary", "token": "github_pat_..." },
    { "name": "Secondary", "token": "github_pat_..." },
    { "name": "Backup", "token": "github_pat_..." }
  ]
}
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The TokenManager automatically picks the token with the most remaining requests.

📢 Notifications

Set up Discord or Slack webhooks in config.json to receive live progress updates:

{
  "discord_webhook": "https://discord.com/api/webhooks/...",
  "slack_webhook": "https://hooks.slack.com/services/..."
}
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You'll get color-coded alerts for PR creation, merges, failures, and completion summaries.

🏆 Earning Your Pull Shark Badge

Badge PRs Needed Recommended Command
Default 2 python main.py --count 5
Bronze 16 python main.py --count 20 --delay 15
Silver 128 python parallel_automation.py --count 150 --concurrent 15
Gold 1024 python parallel_automation.py --count 1024 --concurrent 20

🔗 Links

If you found this useful, drop a ⭐ on the repo and share with devs who love automation!

Have questions or feature ideas? Drop them in the comments below. 👇

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