Agent-Skills.md

Agent Skills: firecrawl

Firecrawl API for web scraping and crawling. Use when user mentions "Firecrawl",

UncategorizedID: vm0-ai/vm0-skills/firecrawl

Repository

vm0-ai/vm0-skills
vm0-ai
508

Install this agent skill to your local

pnpm dlx add-skill https://github.com/vm0-ai/vm0-skills/tree/HEAD/firecrawl

Skill Files

Browse the full folder contents for firecrawl.

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firecrawl/SKILL.md

Skill Metadata

Name
firecrawl
Description
Firecrawl API for web scraping and crawling. Use when user mentions "Firecrawl",

Troubleshooting

If requests fail, run zero doctor check-connector --env-name FIRECRAWL_TOKEN or zero doctor check-connector --url https://api.firecrawl.dev/v1/scrape --method POST

How to Use

All examples below assume you have FIRECRAWL_TOKEN set.

Base URL: https://api.firecrawl.dev/v1

1. Scrape - Single Page

Extract content from a single webpage.

Basic Scrape

Write to /tmp/firecrawl_request.json:

{
  "url": "https://example.com",
  "formats": ["markdown"]
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/scrape" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json

Scrape with Options

Write to /tmp/firecrawl_request.json:

{
  "url": "https://docs.example.com/api",
  "formats": ["markdown"],
  "onlyMainContent": true,
  "timeout": 30000
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/scrape" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.data.markdown'

Get HTML Instead

Write to /tmp/firecrawl_request.json:

{
  "url": "https://example.com",
  "formats": ["html"]
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/scrape" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.data.html'

Get Screenshot

Write to /tmp/firecrawl_request.json:

{
  "url": "https://example.com",
  "formats": ["screenshot"]
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/scrape" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.data.screenshot'

Scrape Parameters:

| Parameter | Type | Description | |-----------|------|-------------| | url | string | URL to scrape (required) | | formats | array | markdown, html, rawHtml, screenshot, links | | onlyMainContent | boolean | Skip headers/footers | | timeout | number | Timeout in milliseconds |

2. Crawl - Entire Website

Crawl all pages of a website (async operation).

Start a Crawl

Write to /tmp/firecrawl_request.json:

{
  "url": "https://example.com",
  "limit": 50,
  "maxDepth": 2
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/crawl" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json

Response:

{
  "success": true,
  "id": "crawl-job-id-here"
}

Check Crawl Status

Replace <job-id> with the actual job ID returned from the crawl request:

curl -s "https://api.firecrawl.dev/v1/crawl/<job-id>" -H "Authorization: Bearer $FIRECRAWL_TOKEN" | jq '{status, completed, total}'

Get Crawl Results

Replace <job-id> with the actual job ID:

curl -s "https://api.firecrawl.dev/v1/crawl/<job-id>" -H "Authorization: Bearer $FIRECRAWL_TOKEN" | jq '.data[] | {url: .metadata.url, title: .metadata.title}'

Crawl with Path Filters

Write to /tmp/firecrawl_request.json:

{
  "url": "https://blog.example.com",
  "limit": 20,
  "maxDepth": 3,
  "includePaths": ["/posts/*"],
  "excludePaths": ["/admin/*", "/login"]
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/crawl" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json

Crawl Parameters:

| Parameter | Type | Description | |-----------|------|-------------| | url | string | Starting URL (required) | | limit | number | Max pages to crawl (default: 100) | | maxDepth | number | Max crawl depth (default: 3) | | includePaths | array | Paths to include (e.g., /blog/*) | | excludePaths | array | Paths to exclude |

3. Map - URL Discovery

Get all URLs from a website quickly.

Basic Map

Write to /tmp/firecrawl_request.json:

{
  "url": "https://example.com"
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/map" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.links[:10]'

Map with Search Filter

Write to /tmp/firecrawl_request.json:

{
  "url": "https://shop.example.com",
  "search": "product",
  "limit": 500
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/map" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.links'

Map Parameters:

| Parameter | Type | Description | |-----------|------|-------------| | url | string | Website URL (required) | | search | string | Filter URLs containing keyword | | limit | number | Max URLs to return (default: 1000) |

4. Search - Web Search

Search the web and get full page content.

Basic Search

Write to /tmp/firecrawl_request.json:

{
  "query": "AI news 2024",
  "limit": 5
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/search" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.data[] | {title: .metadata.title, url: .url}'

Search with Full Content

Write to /tmp/firecrawl_request.json:

{
  "query": "machine learning tutorials",
  "limit": 3,
  "scrapeOptions": {
    "formats": ["markdown"]
  }
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/search" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.data[] | {title: .metadata.title, content: .markdown[:500]}'

Search Parameters:

| Parameter | Type | Description | |-----------|------|-------------| | query | string | Search query (required) | | limit | number | Number of results (default: 10) | | scrapeOptions | object | Options for scraping results |

5. Extract - AI Data Extraction

Extract structured data from pages using AI.

Basic Extract

Write to /tmp/firecrawl_request.json:

{
  "urls": ["https://example.com/product/123"],
  "prompt": "Extract the product name, price, and description"
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/extract" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.data'

Extract with Schema

Write to /tmp/firecrawl_request.json:

{
  "urls": ["https://example.com/product/123"],
  "prompt": "Extract product information",
  "schema": {
    "type": "object",
    "properties": {
      "name": {"type": "string"},
      "price": {"type": "number"},
      "currency": {"type": "string"},
      "inStock": {"type": "boolean"}
    }
  }
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/extract" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.data'

Extract from Multiple URLs

Write to /tmp/firecrawl_request.json:

{
  "urls": [
    "https://example.com/product/1",
    "https://example.com/product/2"
  ],
  "prompt": "Extract product name and price"
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/extract" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.data'

Extract Parameters:

| Parameter | Type | Description | |-----------|------|-------------| | urls | array | URLs to extract from (required) | | prompt | string | Description of data to extract (required) | | schema | object | JSON schema for structured output |

Practical Examples

Scrape Documentation

Write to /tmp/firecrawl_request.json:

{
  "url": "https://docs.python.org/3/tutorial/",
  "formats": ["markdown"],
  "onlyMainContent": true
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/scrape" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq -r '.data.markdown' > python-tutorial.md

Find All Blog Posts

Write to /tmp/firecrawl_request.json:

{
  "url": "https://blog.example.com",
  "search": "post"
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/map" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq -r '.links[]'

Research a Topic

Write to /tmp/firecrawl_request.json:

{
  "query": "best practices REST API design 2024",
  "limit": 5,
  "scrapeOptions": {"formats": ["markdown"]}
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/search" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.data[] | {title: .metadata.title, url: .url}'

Extract Pricing Data

Write to /tmp/firecrawl_request.json:

{
  "urls": ["https://example.com/pricing"],
  "prompt": "Extract all pricing tiers with name, price, and features"
}

Then run:

curl -s -X POST "https://api.firecrawl.dev/v1/extract" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.data'

Poll Crawl Until Complete

Replace <job-id> with the actual job ID:

while true; do
  STATUS="$(curl -s "https://api.firecrawl.dev/v1/crawl/<job-id>" -H "Authorization: Bearer $FIRECRAWL_TOKEN" | jq -r '.status')"
  echo "Status: $STATUS"
  [ "$STATUS" = "completed" ] && break
  sleep 5
done

Response Format

Scrape Response

{
  "success": true,
  "data": {
  "markdown": "# Page Title\n\nContent...",
  "metadata": {
  "title": "Page Title",
  "description": "...",
  "url": "https://..."
  }
  }
}

Crawl Status Response

{
  "success": true,
  "status": "completed",
  "completed": 50,
  "total": 50,
  "data": [...]
}

Guidelines

  1. Rate limits: Add delays between requests to avoid 429 errors
  2. Crawl limits: Set reasonable limit values to control API usage
  3. Main content: Use onlyMainContent: true for cleaner output
  4. Async crawls: Large crawls are async; poll /crawl/{id} for status
  5. Extract prompts: Be specific for better AI extraction results
  6. Check success: Always check success field in responses