firecrawl

vm0-ai/vm0-skills · updated Apr 8, 2026

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$npx skills add https://github.com/vm0-ai/vm0-skills --skill firecrawl
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summary

Use the Firecrawl API via direct curl calls to scrape websites and extract data for AI.

skill.md

Firecrawl

Use the Firecrawl API via direct curl calls to scrape websites and extract data for AI.

Official docs: https://docs.firecrawl.dev/


When to Use

Use this skill when you need to:

  • Scrape a webpage and convert to markdown/HTML
  • Crawl an entire website and extract all pages
  • Discover all URLs on a website
  • Search the web and get full page content
  • Extract structured data using AI

Prerequisites

  1. Sign up at https://www.firecrawl.dev/
  2. Get your API key from the dashboard
export FIRECRAWL_TOKEN="fc-your-api-key"

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" 
how to use firecrawl

How to use firecrawl on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add firecrawl
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/vm0-ai/vm0-skills --skill firecrawl

The skills CLI fetches firecrawl from GitHub repository vm0-ai/vm0-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/firecrawl

Reload or restart Cursor to activate firecrawl. Access the skill through slash commands (e.g., /firecrawl) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.671 reviews
  • Ava Diallo· Dec 28, 2024

    I recommend firecrawl for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Dhruvi Jain· Dec 24, 2024

    We added firecrawl from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Pratham Ware· Dec 20, 2024

    Registry listing for firecrawl matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Aisha Agarwal· Dec 16, 2024

    firecrawl has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ava Li· Dec 4, 2024

    firecrawl fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Yusuf Agarwal· Dec 4, 2024

    firecrawl reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Arya Jackson· Nov 27, 2024

    Keeps context tight: firecrawl is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • William Robinson· Nov 23, 2024

    We added firecrawl from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Arjun Jackson· Nov 23, 2024

    firecrawl has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Zaid Perez· Nov 19, 2024

    Useful defaults in firecrawl — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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