Facebook Scraper

Facebook Scraper extends your AI assistant with the ability to discover and scrape public Facebook pages and groups by location and category with browser simulation and export data in JSON or CSV formats. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using Facebook Scraper as its underlying capability.

Facebook Scraper works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Facebook Scraper once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.

Getting started with Facebook Scraper takes about two minutes. Place the skill at `~/.claude/skills/facebook-scraper/` (personal, all projects) or `.claude/skills/facebook-scraper/` (project-specific), then restart your AI client. From that point, typing `/facebook-scraper` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.

Facebook Scraper has been installed 1,006 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. The source code is open on GitHub — you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.