CAT
/Skills
SkillsMCPMarketplacesDigestToolsAdvertise

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by Category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP Servers by Category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by Category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control

Cross AI Tools

Discover Claude Code plugins, extensions, and tools. Automatically updated directory of Anthropic Claude AI marketplaces with development tools, productivity plugins, and integrations.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Marketplaces
  • Plugins Reference

Community

  • About
  • Tools
  • Feedback
  • Privacy Policy
  • Advertise

Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

Firecrawl

vm0-ai/vm0-skills
259 installs63 stars
Summary

A solid web scraping connector that covers the main Firecrawl API endpoints: single page scraping, full site crawling, URL mapping, web search, and AI-powered data extraction. The crawl operation is async, so you kick it off, get a job ID back, then poll for results. The extract endpoint is interesting because it uses AI to pull structured data based on a prompt or JSON schema, which beats writing custom parsers. All requests go through curl with Bearer token auth. You'll mostly use scrape for quick grabs and crawl when you need an entire site's worth of pages. The skill documentation shows practical examples for each endpoint with actual JSON payloads, which helps when you're trying to remember the parameter names.

Install to Claude Code

npx -y skills add vm0-ai/vm0-skills --skill firecrawl --agent claude-code

Installs into .claude/skills of the current project.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Files
SKILL.mdView on GitHub

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:

ParameterTypeDescription
urlstringURL to scrape (required)
formatsarraymarkdown, html, rawHtml, screenshot, links
onlyMainContentbooleanSkip headers/footers
timeoutnumberTimeout 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:

ParameterTypeDescription
urlstringStarting URL (required)
limitnumberMax pages to crawl (default: 100)
maxDepthnumberMax crawl depth (default: 3)
includePathsarrayPaths to include (e.g., /blog/*)
excludePathsarrayPaths 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:

ParameterTypeDescription
urlstringWebsite URL (required)
searchstringFilter URLs containing keyword
limitnumberMax 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:

ParameterTypeDescription
querystringSearch query (required)
limitnumberNumber of results (default: 10)
scrapeOptionsobjectOptions 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:

ParameterTypeDescription
urlsarrayURLs to extract from (required)
promptstringDescription of data to extract (required)
schemaobjectJSON 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
Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
First SeenJun 3, 2026
View on GitHub

Recommended

caveman

juliusbrussee/caveman

Ultra-compressed communication mode cutting token usage ~75% while preserving technical accuracy.
203.4k
67.8k
grill-me

mattpocock/skills

Relentless interviewing skill that stress-tests plans and designs through systematic questioning.
250.9k
114.5k
improve

shadcn/improve

Survey any codebase as a senior advisor and produce prioritized, self-contained implementation plans for other models/agents to execute.
10
205
systematic-debugging

obra/superpowers

Structured debugging methodology that mandates root cause investigation before attempting any fixes.
124.6k
215.9k
karpathy-guidelines

forrestchang/andrej-karpathy-skills

Behavioral guidelines to reduce common LLM coding mistakes through explicit assumptions, simplicity, and verifiable success criteria.
13.9k
165.4k
find-skills

vercel-labs/skills

Discover and install specialized agent skills from the open ecosystem when users need extended capabilities.
1.8M
21.1k