AIエージェント
crawl4ai
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.
★ 84.7k スターApache-2.0
ガイドを見る →firecrawlは、firecrawlが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: firecrawl/firecrawl）。GitHubスターは189,612、フォークは10,047で、AGPL-3.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月8日です。
Turn any website into clean, agent-ready data with one API.
Know what you want the agent to accomplish before touching any code.
Clone the repo and read the README's requirements section.
Install what's needed and add API keys or configuration.
Run the quickstart example, then iterate from there.
Turns messy HTML into clean, LLM-friendly markdown.
Handles dynamic, JS-heavy pages — not just static HTML.
Search the web as part of the same pipeline.
Pull typed data out of pages, not just text.
Designed as infrastructure for AI agents.
Run it yourself under AGPL-3.0, or use the hosted cloud.
Download the source and move into the project folder.
git clone https://github.com/firecrawl/firecrawl.git
cd firecrawlPull in the Node packages the project needs.
npm installStart it with the project's documented command (often a dev server).
npm run dev # check README for the exact scriptIt is an open-source project at firecrawl/firecrawl with 10047 forks. Check the contributors tab and recent commits to judge how active maintenance is.
The code is AGPL-3.0: free to use and modify, but if you run a modified version as a network service you must share your source changes.
No — the AGPL-3.0 repo is self-hostable; firecrawl.dev is the managed option if you'd rather not run infrastructure.
Yes — rendering dynamic pages is one of its core features, unlike raw HTTP fetchers.
Clone the repo and follow the README quickstart — the docs at https://firecrawl.dev walk through setup.
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.
Turn messy documents into clean, structured data for language models.
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LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — firecrawlが合わなかった場合に検討したい、現実的な候補リストです。
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カタログの中でfirecrawlとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
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