NYC

extract

SKILL.md

Extract Skill

Extract clean content from specific URLs. Ideal when you know which pages you want content from.

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/extract.sh '<json>'

Examples:

# Single URL
./scripts/extract.sh '{"urls": ["https://example.com/article"]}'

# Multiple URLs
./scripts/extract.sh '{"urls": ["https://example.com/page1", "https://example.com/page2"]}'

# With query focus and chunks
./scripts/extract.sh '{"urls": ["https://example.com/docs"], "query": "authentication API", "chunks_per_source": 3}'

# Advanced extraction for JS pages
./scripts/extract.sh '{"urls": ["https://app.example.com"], "extract_depth": "advanced", "timeout": 60}'

Basic Extraction

curl --request POST \
  --url https://api.tavily.com/extract \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "urls": ["https://example.com/article"]
  }'

Multiple URLs with Query Focus

curl --request POST \
  --url https://api.tavily.com/extract \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "urls": [
      "https://example.com/ml-healthcare",
      "https://example.com/ai-diagnostics"
    ],
    "query": "AI diagnostic tools accuracy",
    "chunks_per_source": 3
  }'

API Reference

Endpoint

POST https://api.tavily.com/extract

Headers

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

Request Body

Field Type Default Description
urls array Required URLs to extract (max 20)
query string null Reranks chunks by relevance
chunks_per_source integer 3 Chunks per URL (1-5, requires query)
extract_depth string "basic" basic or advanced (for JS pages)
format string "markdown" markdown or text
include_images boolean false Include image URLs
timeout float varies Max wait (1-60 seconds)

Response Format

{
  "results": [
    {
      "url": "https://example.com/article",
      "raw_content": "# Article Title\n\nContent..."
    }
  ],
  "failed_results": [],
  "response_time": 2.3
}

Extract Depth

Depth When to Use
basic Simple text extraction, faster
advanced Dynamic/JS-rendered pages, tables, structured data

Examples

Single URL Extraction

curl --request POST \
  --url https://api.tavily.com/extract \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "urls": ["https://docs.python.org/3/tutorial/classes.html"],
    "extract_depth": "basic"
  }'

Targeted Extraction with Query

curl --request POST \
  --url https://api.tavily.com/extract \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "urls": [
      "https://example.com/react-hooks",
      "https://example.com/react-state"
    ],
    "query": "useState and useEffect patterns",
    "chunks_per_source": 2
  }'

JavaScript-Heavy Pages

curl --request POST \
  --url https://api.tavily.com/extract \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "urls": ["https://app.example.com/dashboard"],
    "extract_depth": "advanced",
    "timeout": 60
  }'

Batch Extraction

curl --request POST \
  --url https://api.tavily.com/extract \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "urls": [
      "https://example.com/page1",
      "https://example.com/page2",
      "https://example.com/page3",
      "https://example.com/page4",
      "https://example.com/page5"
    ],
    "extract_depth": "basic"
  }'

Tips

  • Max 20 URLs per request - batch larger lists
  • Use query + chunks_per_source to get only relevant content
  • Try basic first, fall back to advanced if content is missing
  • Set longer timeout for slow pages (up to 60s)
  • Check failed_results for URLs that couldn't be extracted
Weekly Installs
30
First Seen
Jan 26, 2026
Installed on
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