firecrawl/firecrawl is an API project that scrapes web data and hands it to AI agents. The latest publicly available release is v2.11.0. However, the provided record does not include the changes that went into this version, so you need to check the release notes directly to see what actually changed.
The repository supports web search, URL scraping, site crawling, URL mapping, batch scraping, and automated data collection. Results are delivered as Markdown, structured JSON, and screenshots. The README describes Firecrawl as an API for large-scale web search, scraping, and interaction, as well as a context API for AI agents.
The repository is published as open source and is also offered as a hosted service. The implementation language is TypeScript, and the license is AGPL-3.0. The repository description positions this API as a foundation for supplying web data to AI agents. The repository was created on April 15, 2024, and it has 193581 GitHub stars.
But the evidence ends there. Of the score items, only momentum is filled in at 10.0, while novelty, tech, and quality are empty. There are no metrics such as throughput or accuracy in the given material either. The only things you can confirm are the feature list spelled out in the README, the license terms, and the star count. If you are looking to attach web data to an agent's context, it is worth a look, but the real changes and the quality of v2.11.0 need to be examined further through the release notes and separate measurements.