mcpField
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crawl

crawl

github.com/tavily-aiData & databases4913.5k installsUpdated 8w ago
Repository

About crawl

crawl is a skill for extracting content across multiple website pages, aimed at documentation research and site archiving. It uses the Tavily API to control crawling by depth, paths, and instructions, and can return relevant chunks or full pages.

Key features

  1. 01Crawl multiple pages by depth
  2. 02Focus results with natural-language instructions
  3. 03Filter pages by path patterns
  4. 04Return relevant chunks or full content
  5. 05Save pages as Markdown files

Use cases

  1. 01Extract API guides from documentation sites
  2. 02Provide concise page content for agent research
  3. 03Archive blog or website pages
  4. 04Discover site URLs before crawling content

MCP support

It uses OAuth through the Tavily MCP server for authentication, with an API key as an alternative. The skill calls Tavily's crawl and map endpoints.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/tavily-ai/skills --skill crawl

After installing, type/crawlin Claude Code to confirm it loaded.

Bundled filesscripts/crawl.sh

Details

From the project README

Crawl Skill

Crawl websites to extract content from multiple pages. Ideal for documentation, knowledge bases, and site-wide content extraction.

Authentication

The script uses OAuth via the Tavily MCP server. No manual setup required - on first run, it will:

  1. Check for existing tokens in ~/.mcp-auth/
  2. If none found, automatically open your browser for OAuth authentication

Note: You must have an existing Tavily account. The OAuth flow only supports login — account creation is not available through this flow. Sign up at tavily.com first if you don't have an account.

Alternative: API Key

If you prefer using an API key, get one at https://tavily.com and add to ~/.claude/settings.json:

{
  "env": {
    "TAVILY_API_KEY": "tvly-your-api-key-here"
  }
}

Quick Start

Using the Script
./scripts/crawl.sh '<json>' [output_dir]

Examples:

# Basic crawl
./scripts/crawl.sh '{"url": "https://docs.example.com"}'

# Deeper crawl with limits
./scripts/crawl.sh '{"url": "https://docs.example.com", "max_depth": 2, "limit": 50}'

# Save to files
./scripts/crawl.sh '{"url": "https://docs.example.com", "max_depth": 2}' ./docs

# Focused crawl with path filters
./scripts/crawl.sh '{"url": "https://example.com", "max_depth": 2, "select_paths": ["/docs/.*", "/api/.*"], "exclude_paths": ["/blog/.*"]}'

# With semantic instructions (for agentic use)
./scripts/crawl.sh '{"url": "https://docs.example.com", "instructions": "Find API documentation", "chunks_per_source": 3}'

When output_dir is provided, each crawled page is saved as a separate markdown file.

Basic Crawl
curl --request POST \
  --url https://api.tavily.com/crawl \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "url": "https://docs.example.com",
    "max_depth": 1,
    "limit": 20
  }'
Focused Crawl with Instructions
curl --request POST \
  --url https://api.tavily.com/crawl \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "url": "https://docs.example.com",
    "max_depth": 2,
    "instructions": "Find API documentation and code examples",
    "chunks_per_source": 3,
    "select_paths": ["/docs/.*", "/api/.*"]
  }'

API Reference

Endpoint
POST https://api.tavily.com/crawl
Headers
HeaderValue
AuthorizationBearer <TAVILY_API_KEY>
Content-Typeapplication/json
Request Body
FieldTypeDefaultDescription
urlstringRequiredRoot URL to begin crawling
max_depthinteger1Levels deep to crawl (1-5)
max_breadthinteger20Links per page
limitinteger50Total pages cap
instructionsstringnullNatural language guidance for focus
chunks_per_sourceinteger3Chunks per page (1-5, requires instructions)
extract_depthstring"basic"basic or advanced
formatstring"markdown"markdown or text
select_pathsarraynullRegex patterns to include
exclude_pathsarraynullRegex patterns to exclude
allow_externalbooleantrueInclude external domain links
timeoutfloat150Max wait (10-150 seconds)
Response Format
{
  "base_url": "https://docs.example.com",
  "results": [
    {
      "url": "https://docs.example.com/page",
      "raw_content": "# Page Title\n\nContent..."
    }
  ],
  "response_time": 12.5
}

Depth vs Performance

DepthTypical PagesTime
110-50Seconds
250-500Minutes
3500-5000Many minutes

Start with max_depth=1 and increase only if needed.

Crawl for Context vs Data Collection

For agentic use (feeding results into context): Always use instructions + chunks_per_source. This returns only relevant chunks instead of full pages, preventing context window explosion.

For data collection (saving to files): Omit chunks_per_source to get full page content.

Examples

For Context: Agentic Research (Recommended)

Use when feeding crawl results into an LLM context:

curl --request POST \
  --url https://api.tavily.com/crawl \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "url": "https://docs.example.com",
    "max_depth": 2,
    "instructions": "Find API documentation and authentication guides",
    "chunks_per_source": 3
  }'

Returns only the most relevant chunks (max 500 chars each) per page - fits in context without overwhelming it.

For Context: Targeted Technical Docs
curl --request POST \
  --url https://api.tavily.com/crawl \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "url": "https://example.com",
    "max_depth": 2,
    "instructions": "Find all documentation about authentication and security",
    "chunks_per_source": 3,
    "select_paths": ["/docs/.*", "/api/.*"]
  }'
For Data Collection: Full Page Archive

Use when saving content to files for later processing:

curl --request POST \
  --url https://api.tavily.com/crawl \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "url": "https://example.com/blog",
    "max_depth": 2,
    "max_breadth": 50,
    "select_paths": ["/blog/.*"],
    "exclude_paths": ["/blog/tag/.*", "/blog/category/.*"]
  }'

Returns full page content - use the script with output_dir to save as markdown files.

Map API (URL Discovery)

Use map instead of crawl when you only need URLs, not content:

curl --request POST \
  --url https://api.tavily.com/map \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "url": "https://docs.example.com",
    "max_depth": 2,
    "instructions": "Find all API docs and guides"
  }'

Returns URLs only (faster than crawl):

{
  "base_url": "https://docs.example.com",
  "results": [
    "https://docs.example.com/api/auth",
    "https://docs.example.com/guides/quickstart"
  ]
}

Tips

  • Always use chunks_per_source for agentic workflows - prevents context explosion when feeding results to LLMs
  • Omit chunks_per_source only for data collection - when saving full pages to files
  • Start conservative (max_depth=1, limit=20) and scale up
  • Use path patterns to focus on relevant sections
  • Use Map first to understand site structure before full crawl
  • Always set a limit to prevent runaway crawls

Comments

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