Automate human-like Facebook activity at scale using Multilogin profiles + residential proxies. Features include randomized browsing, ad discovery, stories/videos interaction, and robust per-profile tracking.
This project is a Facebook Automation Bot powered by Python, Selenium, Multilogin APIs, and Residential Proxies. It simulates human-like behavior—scrolling feeds, watching stories, liking, commenting, and engaging with content—while managing multiple profiles safely through Multilogin. The system is built for scalability, randomization, and reliability, making it suitable for research, testing, and internal automation workflows.
- Dynamic scrolling with realistic scroll physics
- Randomized delays & human-like action jitter
- Watch stories & videos with adjustable dwell times
- Click random posts & sponsored ads (opens in new window)
- Check profiles & read comments like a real user
- Like & comment posts with customizable templates
- Per-profile randomization for unique patterns
- Exception handling for checkpoints & blocked accounts
- Profile tracking: logs, state, and reports
- Friend requests
- Sending messages
- Notification checking
- Uploading posts
- Multi-threaded profile automation
- Python 3.10+ – core logic
- Selenium – browser automation
- Multilogin Local API – profile management
- Residential Proxies (Bright Data / Luminati / others)
- Requests + BeautifulSoup – supporting parsers & HTTP calls
- Friend requests & messaging
- Notification watcher
- Post uploader
- Multiprocessing worker pool
- Web dashboard with metrics
- Discord Server Appilot Community
- Telegram: @devpilot1
