
CRW Web Scraper
io.github.us由 GitHub 帳號 us 發布v0.36.0更新於 Oct 25, 2026
Open-source web scraper for AI agents with scrape, crawl, and map tools
概覽
開源網頁擷取工具,為 AI 助理提供擷取、爬取、網站地圖、搜尋與結構化抽取工具,可將網頁轉為 Markdown 或結構化 JSON。
- 可以做什麼
- 將單一網址擷取為 Markdown、HTML、連結、截圖或依 schema 輸出的 JSON
- 對網站進行有範圍限制的爬取並收集其頁面
- 產生網站地圖,找出網址而不必逐頁擷取
- 搜尋網路,並可選擇擷取搜尋結果
- 從一個或多個網址抽取結構化欄位
- 適用情境
- 適合需要把網頁內容轉成便於大型語言模型使用的乾淨格式、批次收集網站頁面,或把網頁整理成結構化欄位的情境。可完全在本機執行以掌控資料,也可改用託管 API 免去自建基礎設施。
- 執行需求
- 以本機程序(stdio)執行,支援 macOS 與 Linux 的 Intel 及 ARM;README 另提供容器映像與以 npm 為基礎的 MCP 安裝方式。本機模式不需帳號;託管雲端服務需要以 CRW_API_KEY 提供的 API 金鑰。存取目標網站需要網路連線。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 CRW Web Scraper,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
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] [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.
來源:README.md,提交 37be165
工具
0版本歷史
2- v0.36.0最新Sep 19, 2026
- v0.35.1Sep 16, 2026
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