Which is more popular, Firecrawl or Scrapegraph-ai?

Firecrawl has more GitHub stars (187,756 vs 23,140).

Should I use Firecrawl or Scrapegraph-ai?

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

Scrapegraph-ai has had no commit in 6 months; Firecrawl is actively maintained (578 commits in the last 90 days).
Firecrawl is growing faster: +14,055 GitHub stars in the last 30 days vs +1,928 for Scrapegraph-ai.
Pick Firecrawl for: the Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data. Pick Scrapegraph-ai for: python scraper based on AI.

From GitHub data refreshed daily.

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

Python scraper based on AI

+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

-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

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

Which is more popular, Firecrawl or Scrapegraph-ai?: Firecrawl has more GitHub stars (187,756 vs 23,140).
Should I use Firecrawl or Scrapegraph-ai?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.