
CRW Web Scraper
io.github.fastcrw由 GitHub 账号 fastcrw 发布v0.44.0更新于 Nov 12, 2026
Open-source web scraper for AI agents with scrape, crawl, and map tools
概览
面向 AI 智能体的开源网页抓取工具,通过抓取、爬取、站点映射、搜索和提取,把网址转换为干净的 Markdown 或结构化 JSON。
- 可以做什么
- 将单个网址抓取为 Markdown、HTML、链接、截图或按 schema 输出的 JSON
- 在限定范围内爬取站点并收集其页面
- 映射站点以发现网址,而无需抓取每个页面
- 搜索网络,并可选地抓取选中的结果
- 从一个或多个网址中提取结构化字段
- 适用场景
- 适合需要把网页内容或结构化数据带入任务的场景,例如了解站点有哪些页面,或执行网络搜索并抓取结果。既可用于本地自托管,也可使用托管云 API。
- 运行要求
- 以本地进程方式运行于 macOS 和 Linux(Intel 与 ARM),可安装为小型 Rust 二进制文件,或通过 npm 的 MCP 安装器安装。本地模式无需账号;托管云模式需要 CRW_API_KEY,并保存在本地配置文件中。需要网络访问。
安装
在 SourceWeft 中
- 打开 控制台中的 CRW Web Scraper,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
fastCRW
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.
[crates.io] [PyPI] [npm crw-mcp] [CI] [License] [GitHub Stars]
One-command install
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 →
What it does
Why fastCRW
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
Choose how you use it
CLI
Python SDK
Using Cloud? Get an API key, then export it once:
Node.js
Local mode and more SDK examples → · REST API →
MCP for AI agents
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 →
Choose where it runs
Capabilities and response shapes can differ by deployment:
/v1/capabilities · response shapes
Learn more
Contributing
The workspace requires Rust 1.85 or newer:
Contributors
crw is better because of these people. Thank you, all of you:
[us] [paoloantinori] [behramcelen] [WhiteNoise0000] [rqi14] [santhreal] [AsheTheWings] [gjija] [adambenhassen] [atirna] [cdebled] [VIVAAN-DHAWAN] [alkaz-nodemaven] [mj520]
Engine and MCP server: AGPL-3.0. Python and TypeScript SDKs: MIT. Embedding license: [email protected].
Star History
[Star History Chart]Please respect website policies. Crawl and map follow robots.txt by default.
来源:README.md,提交 4d45920
工具
0版本历史
12- v0.44.0最新Nov 12, 2026
- v0.43.2Nov 11, 2026
- v0.43.0Nov 8, 2026
- v0.42.1Nov 7, 2026
- v0.41.0Nov 5, 2026
- v0.40.0Nov 4, 2026
- v0.39.1Oct 29, 2026
- v0.39.0Oct 21, 2026
- v0.38.0Oct 20, 2026
- v0.37.2Oct 1, 2026
- v0.37.1Sep 30, 2026
- v0.37.0Sep 30, 2026
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