The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Crw listing page.
Turn URLs into clean markdown or structured JSON with one engine for search, scrape, map, crawl, and extract.
Run it locally as a small Rust binary or use the managed API.
Get 1000 free credits → · Install · Docs
No credit card. Continue with GitHub.
Runs local and free, no account needed. To use the Cloud, paste your key into the same command and it installs the binary, connects the key, and registers the MCP server with the AI coding tools you already have:
Claude Code, Cursor, Codex, Gemini CLI, OpenCode and Windsurf are picked up
automatically when they are already set up; nothing else is touched, and your
key stays in ~/.config/crw/config.toml rather than being copied into each
tool. Add CRW_NO_AGENTS=1 to skip that step, or run crw setup on its own to
choose interactively.
1000 free credits, no credit card. Managed proxies, JS rendering and search, with nothing to run or keep up to date. Get my free key →
macOS and Linux, Intel and ARM. More install options →
| Operation | Outcome |
|---|---|
| Scrape | One URL to markdown, HTML, links, screenshots, or schema JSON |
| Crawl | Follow a bounded site crawl and collect its pages |
| Map | Discover URLs without scraping every page |
| Search | Search the web and optionally scrape selected results |
| Extract | Produce structured fields from one or many URLs |
On Firecrawl's own public 1,000-URL dataset, fastCRW recovered more truth than Crawl4AI and Firecrawl, matched the fastest median latency, and idled at ~14 MB RAM.
Methodology, full numbers, and how to reproduce it
On a different benchmark entirely, answer accuracy rather than scrape recall, fastCRW answers 90.0% of the 600 AA-Omniscience questions correctly. Every product listed on the Artificial Analysis Search Index sits below it.
The full 14-product comparison, the control run, and how to reproduce it
Using Cloud? Get an API key, then export it once:
Local mode and more SDK examples → · REST API →
Installs the CRW skill and MCP server in your detected AI tools. crw setup can
also do this step, so either path is enough.
Manual setup →
| Managed API | Local / self-hosted | |
|---|---|---|
| Best for | Zero infrastructure and managed scaling | Data control, private networks, or custom infrastructure |
| Start | Create an API key, then crw setup | Install and run crw <URL> |
| Operations | Managed proxies, billing, and hosted capabilities | You choose renderers, search, auth, proxies, and capacity |
Capabilities and response shapes can differ by deployment:
/v1/capabilities · response shapes
The workspace requires Rust 1.85 or newer:
crw is better because of these people. Thank you, all of you:
Engine and MCP server: AGPL-3.0. Python and TypeScript SDKs: MIT. Embedding license: hello@fastcrw.com.
Please respect website policies. Crawl and map follow robots.txt by default.