CRW Web Scraper

io.github.usPublished by GitHub account usv0.36.0Updated Oct 25, 2026

Open-source web scraper for AI agents with scrape, crawl, and map tools

Overview

AI-generated overview

Open-source web scraper that gives an AI assistant tools to scrape, crawl, map, search and extract content from websites as markdown or structured JSON.

What you can do
  • Scrape a single URL into markdown, HTML, links, screenshots or schema-based JSON
  • Crawl a bounded site and collect its pages
  • Map a site to discover URLs without scraping every page
  • Search the web and optionally scrape selected results
  • Extract structured fields from one or many URLs
When to use it
Useful when an assistant needs to pull web page content into a clean, LLM-friendly format, gather pages across a site, or turn web pages into structured fields. It can run fully locally for data control or against a managed API for zero infrastructure.
Requirements
Runs as a local process (stdio) on macOS or Linux, Intel or ARM; the README also offers a container image and an npm-based MCP install. Local mode needs no account; the managed cloud option needs an API key supplied as CRW_API_KEY. Network access is required to reach target sites.
Before you install
The cloud option is credit-based, with 1000 free credits and paid usage beyond that. The install script registers the server with detected AI coding tools and stores the API key in a local config file; CRW_NO_AGENTS=1 skips the agent registration step. Scraped page content is fetched from third-party sites, and cloud mode routes requests through the provider's proxies.

Installation

In SourceWeft

  1. Open CRW Web Scraper in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

[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

bash
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:

bash
curl -fsSL https://fastcrw.com/install | CRW_API_KEY=crw_live_... sh
bash
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

OperationOutcome
ScrapeOne URL to markdown, HTML, links, screenshots, or schema JSON
CrawlFollow a bounded site crawl and collect its pages
MapDiscover URLs without scraping every page
SearchSearch the web and optionally scrape selected results
ExtractProduce 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

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.

[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.]

The full 14-product comparison, the control run, and how to reproduce it

Choose how you use it

CLI

bash
crw https://example.com            # scrape, works right after installcrw search "rust async runtime"    # search, after `crw setup`

Python SDK

Using Cloud? Get an API key, then export it once:

bash
export CRW_API_KEY="crw_live_..."pip install crw
python
from crw import CrwClient
client = CrwClient()page = client.scrape("https://example.com", formats=["markdown"])
print(page["markdown"])
Node.js
bash
npm install crw-sdk
javascript
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

bash
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 APILocal / self-hosted
Best forZero infrastructure and managed scalingData control, private networks, or custom infrastructure
StartCreate an API key, then crw setupInstall and run crw <URL>
OperationsManaged proxies, billing, and hosted capabilitiesYou 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:

bash
git clone https://github.com/fastcrw/crwcd crwmake check-fast

Read the contributor guide →

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.

Source: README.md at commit 37be165

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

2
  1. v0.36.0LatestSep 19, 2026
  2. v0.35.1Sep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts