CRW Web Scraper MCP Server
io.github.fastcrw/crw
Open-source web scraper for AI agents—scrape, crawl, map, search, and extract with markdown or JSON output.
What is the CRW Web Scraper MCP server?
The CRW Web Scraper MCP server is an open-source tool that converts URLs into clean markdown or structured JSON using a unified engine for scraping, crawling, mapping, searching, and extracting data. It runs locally as a lightweight Rust binary or via a managed API, and integrates with AI agents like Claude and Cursor through the Model Context Protocol.
CRW turns web pages into usable data for AI agents. It supports five core operations: scrape individual URLs to markdown/JSON, crawl bounded sites, map URLs without scraping every page, search the web, and extract structured fields. Run it locally for free or use the managed API with 1000 free credits—no credit card required.
How to install CRW Web Scraper
Copy-paste configuration for popular MCP clients.
Tools & capabilities
Tools this server exposes to the agent.
scrape— Convert a single URL to markdown, HTML, links, screenshots, or schema JSONcrawl— Follow a bounded site crawl and collect multiple pagesmap— Discover URLs without scraping every pagesearch— Search the web and optionally scrape selected resultsextract— Produce structured fields from one or many URLs
Use cases
- Extract article content and metadata from news sites as markdown for AI processing
- Crawl documentation sites and convert pages to structured JSON for knowledge bases
- Search the web for information and automatically scrape relevant results
- Map website structure to discover all pages without hitting every URL
- Extract structured data like prices, reviews, or contact info from multiple pages
CRW Web Scraper MCP server FAQ
CRW is an open-source web scraper that converts URLs into markdown or JSON. It provides five operations—scrape, crawl, map, search, and extract—and runs locally as a Rust binary or via a managed API.
Yes. Local mode is free with no account needed. The managed API offers 1000 free credits with no credit card required; additional usage is paid.
Run `npx -y crw-mcp@latest install` or use `crw setup` to auto-detect and register the MCP server in your AI tools. For the managed API, set your CRW_API_KEY environment variable first.
Local mode requires no authentication. The managed API requires a free API key from fastcrw.com (GitHub login, no credit card).
Markdown, HTML, JSON (including schema), links, and screenshots. Response shapes may vary by deployment (local vs. managed API).
Runs on macOS and Linux (Intel and ARM). Requires Rust 1.85+ to build from source. The binary is small (~14 MB RAM idle).
README (reference)
Source of truth, from the repository.
One-command install
curl -fsSL https://fastcrw.com/install | sh
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:
curl -fsSL https://fastcrw.com/install | CRW_API_KEY=crw_live_... sh
crw search "rust tutorials"
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
| 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 |
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.
<p align="center"> <a href="BENCHMARKS.md"> <img src=".github/benchmarks/bench-radar.svg" alt="fastCRW compared with Crawl4AI and Firecrawl on truth-recall, unique recoveries, median latency, download size, and recall depth" width="100%"> </a> </p> <p align="center"><sub><a href="BENCHMARKS.md">Methodology, full numbers, and how to reproduce it</a></sub></p>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.
<p align="center"> <a href="https://fastcrw.com/benchmarks/aa-omniscience"> <img src=".github/benchmarks/bench-omniscience.svg" alt="AA-Omniscience answer accuracy. fastCRW 90.0 percent, ahead of every product on the Artificial Analysis Search Index: Firecrawl 73, Exa 70, You.com 69, Parallel 68, Tavily 64, and 38 with no search at all." width="100%"> </a> </p> <p align="center"><sub><a href="https://fastcrw.com/benchmarks/aa-omniscience">The full 14-product comparison, the control run, and how to reproduce it</a></sub></p>Choose how you use it
CLI
crw https://example.com # scrape, works right after install
crw search "rust async runtime" # search, after `crw setup`
Python SDK
Using Cloud? Get an API key, then export it once:
export CRW_API_KEY="crw_live_..."
pip install crw
from crw import CrwClient
client = CrwClient()
page = client.scrape("https://example.com", formats=["markdown"])
print(page["markdown"])
<details>
<summary><strong>Node.js</strong></summary>
npm install crw-sdk
import { CrwClient } from "crw-sdk";
const client = new CrwClient();
const page = await client.scrape("https://example.com", {
formats: ["markdown"],
});
console.log(page.markdown);
</details>
Local mode and more SDK examples → · REST API →
MCP for AI agents
npx -y crw-mcp@latest install
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
| 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
Learn more
Contributing
The workspace requires Rust 1.85 or newer:
git clone https://github.com/fastcrw/crw
cd crw
make check-fast
Contributors
crw is better because of these people. Thank you, all of you:
<!-- contributors:start --> <p align="center"> <a href="https://github.com/us" title="us"><img src="https://github.com/us.png?size=96" width="48" height="48" alt="us"/></a> <a href="https://github.com/behramcelen" title="behramcelen"><img src="https://github.com/behramcelen.png?size=96" width="48" height="48" alt="behramcelen"/></a> <a href="https://github.com/paoloantinori" title="paoloantinori"><img src="https://github.com/paoloantinori.png?size=96" width="48" height="48" alt="paoloantinori"/></a> <a href="https://github.com/rqi14" title="rqi14"><img src="https://github.com/rqi14.png?size=96" width="48" height="48" alt="rqi14"/></a> <a href="https://github.com/santhreal" title="santhreal"><img src="https://github.com/santhreal.png?size=96" width="48" height="48" alt="santhreal"/></a> <a href="https://github.com/AsheTheWings" title="AsheTheWings"><img src="https://github.com/AsheTheWings.png?size=96" width="48" height="48" alt="AsheTheWings"/></a> <a href="https://github.com/gjija" title="gjija"><img src="https://github.com/gjija.png?size=96" width="48" height="48" alt="gjija"/></a> <a href="https://github.com/adambenhassen" title="adambenhassen"><img src="https://github.com/adambenhassen.png?size=96" width="48" height="48" alt="adambenhassen"/></a> <a href="https://github.com/atirna" title="atirna"><img src="https://github.com/atirna.png?size=96" width="48" height="48" alt="atirna"/></a> <a href="https://github.com/cdebled" title="cdebled"><img src="https://github.com/cdebled.png?size=96" width="48" height="48" alt="cdebled"/></a> <a href="https://github.com/VIVAAN-DHAWAN" title="VIVAAN-DHAWAN"><img src="https://github.com/VIVAAN-DHAWAN.png?size=96" width="48" height="48" alt="VIVAAN-DHAWAN"/></a> <a href="https://github.com/mj520" title="mj520"><img src="https://github.com/mj520.png?size=96" width="48" height="48" alt="mj520"/></a> </p> <!-- contributors:end -->Engine and MCP server: AGPL-3.0. Python and TypeScript SDKs: MIT. Embedding license: hello@fastcrw.com.
Star History
<a href="https://www.star-history.com/?repos=us%2Fcrw&type=date&legend=top-left"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/chart?repos=us/crw&type=date&theme=dark&legend=top-left&sealed_token=Pe6pRWL7lqTM-St9eo-Cmpk5kYNyuyun0krw9eVZQFIrm3g_R2h46IW6wfNalPXquMsWSNCgKqiar1YVo9MGy2IZmN5Lz6rjZcjBCw6bCcRHORKORFRi9A" /> <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/chart?repos=us/crw&type=date&legend=top-left&sealed_token=Pe6pRWL7lqTM-St9eo-Cmpk5kYNyuyun0krw9eVZQFIrm3g_R2h46IW6wfNalPXquMsWSNCgKqiar1YVo9MGy2IZmN5Lz6rjZcjBCw6bCcRHORKORFRi9A" /> <img alt="Star History Chart" src="https://api.star-history.com/chart?repos=us/crw&type=date&legend=top-left&sealed_token=Pe6pRWL7lqTM-St9eo-Cmpk5kYNyuyun0krw9eVZQFIrm3g_R2h46IW6wfNalPXquMsWSNCgKqiar1YVo9MGy2IZmN5Lz6rjZcjBCw6bCcRHORKORFRi9A" /> </picture> </a><sub>Please respect website policies. Crawl and map follow robots.txt by default.</sub>
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