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firecrawl-crawl▌

firecrawl/cli · updated Apr 8, 2026

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$npx skills add https://github.com/firecrawl/cli --skill firecrawl-crawl
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summary

Bulk extract content from entire websites or site sections with depth and path filtering.

  • ›Crawls pages following links up to configurable depth limits and page counts, with path inclusion/exclusion filters to scope extraction
  • ›Supports async job polling or synchronous waiting with progress display via --wait and --progress flags
  • ›Offers concurrency control, request delays, and JSON output formatting for integration into agent workflows
  • ›Part of a four-step escalation pattern: search
skill.md

firecrawl crawl

Bulk extract content from a website. Crawls pages following links up to a depth/limit.

When to use

  • You need content from many pages on a site (e.g., all /docs/)
  • You want to extract an entire site section
  • Step 4 in the workflow escalation pattern: search → scrape → map → crawl → interact

Quick start

# Crawl a docs section
firecrawl crawl "<url>" --include-paths /docs --limit 50 --wait -o .firecrawl/crawl.json

# Full crawl with depth limit
firecrawl crawl "<url>" --max-depth 3 --wait --progress -o .firecrawl/crawl.json

# Check status of a running crawl
firecrawl crawl <job-id>

Options

Option Description
--wait Wait for crawl to complete before returning
--progress Show progress while waiting
--limit <n> Max pages to crawl
--max-depth <n> Max link depth to follow
--include-paths <paths> Only crawl URLs matching these paths
--exclude-paths <paths> Skip URLs matching these paths
--delay <ms> Delay between requests
--max-concurrency <n> Max parallel crawl workers
--pretty Pretty print JSON output
-o, --output <path> Output file path

Tips

  • Always use --wait when you need the results immediately. Without it, crawl returns a job ID for async polling.
  • Use --include-paths to scope the crawl — don't crawl an entire site when you only need one section.
  • Crawl consumes credits per page. Check firecrawl credit-usage before large crawls.

See also

how to use firecrawl-crawl

How to use firecrawl-crawl 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-crawl
2

Execute installation command

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

$npx skills add https://github.com/firecrawl/cli --skill firecrawl-crawl

The skills CLI fetches firecrawl-crawl from GitHub repository firecrawl/cli 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-crawl

Reload or restart Cursor to activate firecrawl-crawl. Access the skill through slash commands (e.g., /firecrawl-crawl) 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.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

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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)
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general reviews

Ratings

4.6★★★★★37 reviews
  • ★★★★★Shikha Mishra· Dec 16, 2024

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

  • ★★★★★Mia Liu· Dec 16, 2024

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

  • ★★★★★Henry Srinivasan· Nov 7, 2024

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

  • ★★★★★Henry Iyer· Oct 26, 2024

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

  • ★★★★★Kaira Wang· Oct 26, 2024

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

  • ★★★★★Dhruvi Jain· Oct 14, 2024

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

  • ★★★★★Oshnikdeep· Sep 21, 2024

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

  • ★★★★★Layla Yang· Sep 9, 2024

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

  • ★★★★★Layla Park· Sep 5, 2024

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

  • ★★★★★Layla Haddad· Aug 28, 2024

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

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