webclaw/CLAUDE.md

Webclaw

Rust workspace: CLI + MCP server for web content extraction into LLM-optimized formats.

Architecture

webclaw/
  crates/
    webclaw-core/     # Pure extraction engine. WASM-safe. Zero network deps.
                      # + ExtractionOptions (include/exclude CSS selectors)
                      # + diff engine (change tracking)
                      # + brand extraction (DOM/CSS analysis)
    webclaw-fetch/    # HTTP client via primp. Crawler. Sitemap discovery. Batch ops.
                      # + proxy pool rotation (per-request)
                      # + PDF content-type detection
                      # + document parsing (DOCX, XLSX, CSV)
    webclaw-llm/      # LLM provider chain (Ollama -> OpenAI -> Anthropic)
                      # + JSON schema extraction, prompt extraction, summarization
    webclaw-pdf/      # PDF text extraction via pdf-extract
    webclaw-mcp/      # MCP server (Model Context Protocol) for AI agents
    webclaw-cli/      # CLI binary

Two binaries: webclaw (CLI), webclaw-mcp (MCP server).

Core Modules (webclaw-core)

• extractor.rs — Readability-style scoring: text density, semantic tags, link density penalty
• noise.rs — Shared noise filter: tags, ARIA roles, class/ID patterns. Tailwind-safe.
• data_island.rs — JSON data island extraction for React SPAs, Next.js, Contentful CMS
• markdown.rs — HTML to markdown with URL resolution, asset collection
• llm.rs — 9-step LLM optimization pipeline (image strip, emphasis strip, link dedup, stat merge, whitespace collapse)
• domain.rs — Domain detection from URL patterns + DOM heuristics
• metadata.rs — OG, Twitter Card, standard meta tag extraction
• types.rs — Core data structures (ExtractionResult, Metadata, Content)
• filter.rs — CSS selector include/exclude filtering (ExtractionOptions)
• diff.rs — Content change tracking engine (snapshot diffing)
• brand.rs — Brand identity extraction from DOM structure and CSS

Fetch Modules (webclaw-fetch)

• client.rs — FetchClient with primp TLS impersonation
• browser.rs — Browser profiles: Chrome (142/136/133/131), Firefox (144/135/133/128)
• crawler.rs — BFS same-origin crawler with configurable depth/concurrency/delay
• sitemap.rs — Sitemap discovery and parsing (sitemap.xml, robots.txt)
• batch.rs — Multi-URL concurrent extraction
• proxy.rs — Proxy pool with per-request rotation
• document.rs — Document parsing: DOCX, XLSX, CSV auto-detection and extraction
• search.rs — Web search via Serper.dev with parallel result scraping

LLM Modules (webclaw-llm)

• Provider chain: Ollama (local-first) -> OpenAI -> Anthropic
• JSON schema extraction, prompt-based extraction, summarization

PDF Modules (webclaw-pdf)

• PDF text extraction via pdf-extract crate

MCP Server (webclaw-mcp)

• Model Context Protocol server over stdio transport
• 8 tools: scrape, crawl, map, batch, extract, summarize, diff, brand
• Works with Claude Desktop, Claude Code, and any MCP client
• Uses rmcp crate (official Rust MCP SDK)

Hard Rules

• Core has ZERO network dependencies — takes &str HTML, returns structured output. Keep it WASM-compatible.
• primp requires [patch.crates-io] for patched rustls/h2 forks at workspace level.
• RUSTFLAGS are set in .cargo/config.toml — no need to pass manually.
• webclaw-llm uses plain reqwest (NOT primp-patched). LLM APIs don't need TLS fingerprinting.
• qwen3 thinking tags (<think>) are stripped at both provider and consumer levels.

Build & Test

cargo build --release           # Both binaries
cargo test --workspace          # All tests
cargo test -p webclaw-core      # Core only
cargo test -p webclaw-llm       # LLM only

CLI

# Basic extraction
webclaw https://example.com
webclaw https://example.com --format llm

# Content filtering
webclaw https://example.com --include "article" --exclude "nav,footer"
webclaw https://example.com --only-main-content

# Batch + proxy rotation
webclaw url1 url2 url3 --proxy-file proxies.txt
webclaw --urls-file urls.txt --concurrency 10

# Sitemap discovery
webclaw https://docs.example.com --map

# Crawling (with sitemap seeding)
webclaw https://docs.example.com --crawl --depth 2 --max-pages 50 --sitemap

# Change tracking
webclaw https://example.com -f json > snap.json
webclaw https://example.com --diff-with snap.json

# Brand extraction
webclaw https://example.com --brand

# LLM features (Ollama local-first)
webclaw https://example.com --summarize
webclaw https://example.com --extract-prompt "Get all pricing tiers"
webclaw https://example.com --extract-json '{"type":"object","properties":{"title":{"type":"string"}}}'

# PDF (auto-detected via Content-Type)
webclaw https://example.com/report.pdf

# Browser impersonation: chrome (default), firefox, random
webclaw https://example.com --browser firefox

# Local file / stdin
webclaw --file page.html
cat page.html | webclaw --stdin

Key Thresholds

• Scoring minimum: 50 chars text length
• Semantic bonus: +50 for <article>/<main>, +25 for content class/ID
• Link density: >50% = 0.1x score, >30% = 0.5x
• Data island fallback triggers when DOM word count < 30
• Eyebrow text max: 80 chars

MCP Setup

Add to Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "webclaw": {
      "command": "/path/to/webclaw-mcp"
    }
  }
}

Skills

• /scrape <url> — extract content from a URL
• /benchmark [url] — run extraction performance benchmarks
• /research <url> — deep web research via crawl + extraction
• /crawl <url> — crawl a website
• /commit — conventional commit with change analysis

Git

• Remote: git@github.com:0xMassi/webclaw.git
• Use /commit skill for commits