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This crawl skill enables users to extract content from multiple web pages, making it ideal for gathering documentation, knowledge bases, and site-wide information. It supports focused and deep crawling with customizable depth, path filtering, and instructions for targeted data retrieval, suitable for both agentic context feeding and full-page archiving. The skill offers easy OAuth or API key authentication and is designed for developers, researchers, and knowledge managers aiming to systematically collect or analyze website content.

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

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

Header Value Authorization Bearer <TAVILY_API_KEY> Content-Type application/json

Request Body

Field Type Default Description url string Required Root URL to begin crawling max_depth integer 1 Levels deep to crawl (1-5) max_breadth integer 20 Links per page limit integer 50 Total pages cap instructions string null Natural language guidance for focus chunks_per_source integer 3 Chunks per page (1-5, requires instructions) extract_depth string "basic" basic or advanced format string "markdown" markdown or text select_paths array null Regex patterns to include exclude_paths array null Regex patterns to exclude allow_external boolean true Include external domain links timeout float 150 Max 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

Depth Typical Pages Time 1 10-50 Seconds 2 50-500 Minutes 3 500-5000 Many 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

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

GitHub Owner

Owner: tavily-ai

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