webclaw
Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API, and MCP server.
Install / Use
claude mcp add 0xMassi -- npx -y github:0xMassi/webclawIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Our assessment of webclaw
webclaw scores 94/100 on our quality scale, 165th of 965 AI & Machine Learning skills we index (top 18%).
Its MCP Server is 20 KB long, well organised into 34 sections with 27 code examples: a thorough specification that gives an agent plenty to work with.
With 2,430 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated yesterday, so webclaw is actively maintained.
- Our last check on 2026-10-21 found the source still online.
- It is released under AGPL-3.0, a copyleft license: you can use it, but modified versions you distribute must carry the same license.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
webclaw compared with similar skills
All 4 of these similar skills score higher than webclaw; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| webclaw (this skill)by 0xMassi | 94 | 2.4k | 1d ago | MCP Server |
| claude-memby thedotmack | 100 | 113.5k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.2k | today | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 90.9k | 10d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.9k | today | CLAUDE.md |
Frequently asked questions
- How do I install webclaw?
- Run
claude mcp add 0xMassi -- npx -y github:0xMassi/webclaw. The install tabs above show the steps for each supported agent. - Which AI agents does webclaw work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is webclaw safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is AGPL-3.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is webclaw still maintained?
- The repository was last updated yesterday, so webclaw is actively maintained.
Skill content
View source on GitHubMost web scraping tools give your agent one of two bad outputs:
- a blocked page, login wall, or empty app shell
- raw HTML full of nav, scripts, styling, ads, and duplicated boilerplate
webclaw.io is the hosted web extraction API for webclaw. This repo contains the open-source CLI, MCP server, extraction engine, and self-hostable server.
webclaw turns a URL into clean content your tools can actually use.
webclaw https://example.com --format markdown
# Example Domain
This domain is for use in illustrative examples in documents.
You may use this domain in literature without prior coordination or asking for permission.
Use it from the terminal, wire it into Claude/Cursor through MCP, call the hosted API from your app, or self-host the OSS server.
Install
Agent setup
The fastest way to connect webclaw to Claude Code, Claude Desktop, Cursor, Windsurf, OpenCode, Codex CLI, and other MCP-compatible tools:
npx create-webclaw
The installer detects supported clients and configures the MCP server for you.
Homebrew
brew tap 0xMassi/webclaw
brew install webclaw
Prebuilt binaries
Download macOS, Linux, and Windows binaries from GitHub Releases.
Windows (x64)
The prebuilt ZIP is the easiest installation and does not require Rust. On the
v0.6.22 release page,
download webclaw-v0.6.22-x86_64-pc-windows-msvc.zip. Extract it in File Explorer,
open PowerShell in the extracted folder containing webclaw.exe, and run:
.\webclaw.exe --version
.\webclaw.exe https://example.com --format markdown
PowerShell requires the .\ prefix for programs in the current directory.
Add that directory to your user PATH only if you want to run webclaw from
other folders. If Windows reports a missing Visual C++ runtime DLL, install the
Microsoft Visual C++ Redistributable for x64. The ZIP contains x64 binaries;
Windows ARM64 is not covered by the native installation check.
To build from source on Windows, install Rust with the x86_64-pc-windows-msvc
toolchain, Visual Studio Build Tools with Desktop development with C++ and
the Windows SDK, Git, CMake 3.22 or newer, LLVM (including libclang.dll), and
NASM. Open a fresh Developer PowerShell for Visual Studio after installation.
Ensure CMake and NASM are on PATH and set LIBCLANG_PATH to your LLVM bin
directory if bindgen cannot find it, for example:
$env:LIBCLANG_PATH = "C:\Program Files\LLVM\bin"
cargo install --git https://github.com/0xMassi/webclaw.git --tag v0.6.22 --locked webclaw-cli
webclaw --version
The Cargo package is webclaw-cli; the executable is webclaw. These packages
are installed from Git, not crates.io. A first source build can take several
minutes. The Windows CI workflow checks the Git installation and published ZIP
on a hosted runner with preinstalled build tools; it does not model a clean PC.
Linux containers, including Docker on macOS, do not validate Windows support.
Docker
docker run --rm ghcr.io/0xmassi/webclaw https://example.com
Cargo
cargo install --git https://github.com/0xMassi/webclaw.git --tag v0.6.22 --locked webclaw-cli
cargo install --git https://github.com/0xMassi/webclaw.git --tag v0.6.22 --locked webclaw-mcp
If building from source fails because native build tools are missing, install the platform prerequisites:
| OS | Command |
| --- | --- |
| Debian / Ubuntu | sudo apt install -y pkg-config libssl-dev cmake clang git build-essential |
| Fedora / RHEL | sudo dnf install -y pkg-config openssl-devel cmake clang git make gcc |
| Arch | sudo pacman -S pkg-config openssl cmake clang git base-devel |
| macOS | xcode-select --install |
Quick Start
Scrape one page
webclaw https://stripe.com --format markdown
Return LLM-optimized text
webclaw https://docs.anthropic.com --format llm
Keep only the main content
webclaw https://example.com/blog/post --only-main-content
Include or exclude selectors
webclaw https://example.com \
--include "article, main, .content" \
--exclude "nav, footer, .sidebar, .ad"
Crawl a documentation site
webclaw https://docs.rust-lang.org --crawl --depth 2 --max-pages 50
Workflow examples
- HTML to Markdown for RAG
- Firecrawl-compatible API
- MCP web scraping
- Proxy-backed crawling with ColdProxy
- Cloudflare diagnostics
Extract brand assets
webclaw https://github.com --brand
Compare a page over time
webclaw https://example.com/pricing --format json > pricing-old.json
webclaw https://example.com/pricing --diff-with pricing-old.json
MCP Server
webclaw ships with an MCP server for AI agents.
Zero-install — point any MCP client at the npx launcher:
{
"mcpServers": {
"webclaw": {
"command": "npx",
"args": ["-y", "@webclaw/mcp"]
}
}
}
Or run npx create-webclaw to auto-detect your AI tools and write their configs for you.
Then ask your agent things like:
Scrape these competitor pricing pages and summarize the differences.
Crawl this documentation site and prepare clean context for a RAG index.
Extract the brand colors, fonts, and logos from this company website.
Use as an agent skill
Add webclaw to Claude Code, Cursor, Windsurf, and other MCP agents in one command:
npx skills add 0xMassi/webclaw-skill
Your agent gets scrape, crawl, map, extract, summarize, diff, brand, and search
as native tools. Most sites extract locally with no API key. Set WEBCLAW_API_KEY
to handle bot-protected and JavaScript-rendered pages.
Find it on skills.sh.
Tools
| Tool | What it does | Local |
| --- | --- | :-: |
| scrape | Extract one URL as markdown, text, JSON, LLM format, or HTML | Yes |
| crawl | Follow same-origin links and extract discovered pages | Yes |
| map | Discover URLs without extracting every page | Yes |
| batch | Scrape multiple URLs in parallel | Yes |
| extract | Convert page content into structured data | Yes, with local or configured LLM |
| summarize | Summarize a page | Yes, with local or configured LLM |
| diff | Compare page content snapshots | Yes |
| brand | Extract colors, fonts, logos, and metadata | Yes |
| search | Search the web and scrape results | Hosted API |
| research | Multi-source research workflow | Hosted API |
SDKs
npm install @webclaw/sdk
pip install webclaw
go get github.com/0xMassi/webclaw-go
<details>
<summary>TypeScript</summary>
import { Webclaw } from "@webclaw/sdk";
const client = new Webclaw({ apiKey: process.env.WEBCLAW_API_KEY! });
const page = await client.scrape({
url: "https://example.com",
formats: ["markdown"],
only_main_content: true,
});
console.log(page.markdown);
</details>
<details>
<summary>Python</summary>
from webclaw import Webclaw
client = Webclaw(api_key="wc_your_key")
page = client.scrape(
"https://example.com",
formats=["markdown"],
only_main_content=True,
)
print(page.markdown)
</details>
<details>
<summary>cURL</summary>
curl -X POST https://api.webclaw.io/v1/scrape \
-H "Authorization: Bearer $WEBCLAW_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"url": "https://example.com",
"formats": ["markdown"],
"only_main_content": true
}'
</details>
Output Formats
| Format | Use it when you need |
| --- | --- |
| markdown | Clean page content with structure preserved |
| llm | Compact context for agents and RAG pipelines |
| text | Plain text with minimal formatting |
| json | Structured metadata, links, images, and extracted fields |
| html | Cleaned HTML for custom processing |
Local First, Hosted When Needed
The CLI and MCP server work locally without an account for the core extraction path.
Use the hosted API at webclaw.io when you need:
- protected-site access without managing infrastructure
- JavaScript rendering
- async crawl and research jobs
- web search
- watches and production usage tracking
- SDKs for application code
export WEBCLAW_API_KEY=wc_your_key
webclaw https://example.com --cloud
What You Can Build
| Use case | Example | | --- | --- | | AI agent web access | Give Claude, Cursor, or another MCP client clean page context | | RAG ingestion | Crawl docs, help centers, blogs, and knowledge bases | | Competitor monitoring | Track pricing pages, changelogs, docs, and product pages | | Structured extraction | Turn messy pages into typed JSON for automations | | Research workflows | Search, scrape, summarize, and cite multiple sources | | Brand intelligence | Extract logos, colors, fonts, and social metadata |
Architecture
webclaw/
crates/
webclaw-core HTML to markdown, text, JSON, and LLM-ready output
webclaw-fetch Fetching, crawling, batching, and mapping
webclaw-llm Local and hosted LLM provider support
webclaw-pdf PDF text extraction
webclaw-mcp MCP server for AI agents
webclaw-cli Command-line interface
webclaw-core is pure extraction logic: no network I/O, small surface area, and usable independently from the fetching layer.
Configuration
| Variable | Description | |
Truncated for display — read the full file on GitHub.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
