firecrawl vs Scrapegraph-ai

Common questions

What is the difference between firecrawl and Scrapegraph-ai?

firecrawl: The web data API to search, scrape, and interact at scale.. Scrapegraph-ai: Python scraper based on AI. See the comparison table for live GitHub stats and shared categories.

When should I choose firecrawl over Scrapegraph-ai?

Choose firecrawl over Scrapegraph-ai when firecrawl is primarily TypeScript; Scrapegraph-ai is Python; License: firecrawl is AGPL-3.0, Scrapegraph-ai is MIT; Pricing: Pricing details are not provided in the repository data.; Requirements: Users must respect websites' policies when scraping and comply with robots.txt directives.; Scrapegraph-ai and firecrawl both offer tools for extracting data from websites, with Scrapegraph-ai focusing on leveraging large language models to automate scraping processes from web sources and local documents, while firecrawl provides an API-centric approach for searching, scraping, and converting extracted web content into clean formats like Markdown. This alternative relationship stems from; Tags unique to firecrawl: ai, ai-agents, html-to-markdown; Also covers AI Agents; When you need to perform large-scale web scraping and data extraction tasks with support for AI-driven web interactions.

When should I choose Scrapegraph-ai over firecrawl?

Choose Scrapegraph-ai over firecrawl when Scrapegraph-ai is primarily Python; firecrawl is TypeScript; License: Scrapegraph-ai is MIT, firecrawl is AGPL-3.0; Pricing: Free to use under the MIT License, with no explicit mention of paid features in the repository.; Requirements: Min 2 GB RAM; Requires Python environment to run.; Scrapegraph-ai and firecrawl both offer tools for extracting data from websites, with Scrapegraph-ai focusing on leveraging large language models to automate scraping processes from web sources and local documents, while firecrawl provides an API-centric approach for searching, scraping, and converting extracted web content into clean formats like Markdown. This alternative relationship stems from; Tags unique to Scrapegraph-ai: firecrawl-alternative, large-language-model, llm; Also covers Developer Tools; Scrapegraph-ai ships Docker support for self-hosted deployment; When you need advanced AI-driven scraping capabilities that can adapt to complex web structures and extract data more intelligently than traditional scrapers.

When should I avoid firecrawl?

If your project requires a tool that does not support AI-driven interactions and you prefer a simpler, more straightforward scraping solution. When you are looking for a solution that does not come with the AGPL-3.0 license, as this might not be compatible with your project's licensing requirements.

When should I avoid Scrapegraph-ai?

If your project requires a more lightweight solution, as Scrapegraph-ai's AI features might introduce additional overhead. When your scraping needs are simple and do not require the sophisticated AI capabilities that Scrapegraph-ai offers, opting for a simpler tool might be more efficient.

Is firecrawl or Scrapegraph-ai more popular on GitHub?

firecrawl has more GitHub stars (181,801 vs 31,068). Stars measure visibility, not whether either tool fits your constraints.

Are firecrawl and Scrapegraph-ai open source?

Yes - both are open-source projects on GitHub (firecrawl: AGPL-3.0, Scrapegraph-ai: MIT).

Where can I find alternatives to firecrawl or Scrapegraph-ai?

GraphCanon lists graph-backed alternatives at firecrawl alternatives and Scrapegraph-ai alternatives (firecrawl markdown twin, Scrapegraph-ai markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, firecrawl or Scrapegraph-ai?

firecrawl: Very active. Scrapegraph-ai: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for firecrawl and Scrapegraph-ai?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: firecrawl trust report; Scrapegraph-ai trust report.