AGENT SKILL

crawl

Crawl any website and save pages as local markdown files. Use when you need to download documentation, knowledge bases, or web content for offline access or analysis. No code required - just provide a URL.

License 许可
MIT
最近更新
2026-08-23
Stars
★ 1
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01 前言 Front Matter

name
crawl
description
Crawl any website and save pages as local markdown files. Use when you need to download documentation, knowledge bases, or web content for offline access or analysis. No code required - just provide a URL.

02 资源文件 9

03 SKILL.md 正文

Crawl Skill

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

Prerequisites

Tavily API Key Required - Get your key at https://tavily.com

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

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

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