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fastCRW

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

curl -fsSL https://fastcrw.com/install | sh

Then point it at the Cloud:

crw setup

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 →

The same command configures a fully local install if you would rather run it yourself. 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

See the full API →

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.

fastCRW compared with Crawl4AI and Firecrawl on truth-recall, unique recoveries, median latency, download size, and recall depth

Methodology, full numbers, and how to reproduce it

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"])
Node.js
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);

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

Self-hosting guide →

Learn more

Contributing

The workspace requires Rust 1.85 or newer:

git clone https://github.com/us/crw
cd crw
make check-fast

Read the contributor guide →

Engine and MCP server: AGPL-3.0. Python and TypeScript SDKs: MIT. Embedding license: hello@fastcrw.com.

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Contributors

us santhreal AsheTheWings adambenhassen paoloantinori mj520

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About

Fast, lightweight Firecrawl/Tavily alternative in Rust. Web scraper, crawler & search API with MCP server for AI agents. Drop-in Firecrawl-compatible API (/scrape, /crawl, /search). 2.3x faster than Tavily, 1.5x faster than Firecrawl in 1K-URL benchmarks. 6 MB RAM, single binary. Self-host or use managed cloud.

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