Firecrawl vs invisible_playwright_mcp

Side-by-side comparison of two AI agent tools

πŸ”₯ The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data

Playwright MCP server undetected by anti-bots and captchas: AI agent browses the web on anti-detect stealth Firefox, Python, undetected browser automation, scra

Metrics

Firecrawlinvisible_playwright_mcp
Stars187.1k31.7k
Star velocity /mo14.1k2.6k
Commits (90d)561290
Releases (6m)310
Overall score0.8480715119015490.8197249292916216

Pros

  • +Industry-leading reliability with >80% success rate on complex websites including JavaScript-heavy and dynamic content
  • +AI-optimized output formats with clean markdown and structured data specifically designed for LLM consumption
  • +Comprehensive feature set including media parsing, interactive actions, batch processing, and authentication support

    Cons

    • -Repository is still in development and not fully ready for self-hosted deployment
    • -API-based service likely requires subscription pricing for production use
    • -As a relatively new tool, long-term stability and support ecosystem may be uncertain

      Use Cases

      • β€’Building AI agents that need real-time web context and competitor intelligence
      • β€’Creating training datasets for LLMs by scraping and cleaning large volumes of web content
      • β€’Automating content monitoring and change detection for business intelligence applications

        FAQ

        Which is more popular, Firecrawl or invisible_playwright_mcp?
        Firecrawl has more GitHub stars (187,091 vs 31,727).
        Which is more actively developed, Firecrawl or invisible_playwright_mcp?
        Firecrawl had more commits in the last 90 days (561 vs 290).
        Should I use Firecrawl or invisible_playwright_mcp?
        Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.