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Seo Firecrawl

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AgriciDaniel
seo-firecrawl

Full-site crawling, scraping, and site mapping via Firecrawl MCP. Use when user says "crawl site", "map site", "full crawl", "find all pages", "broken links", "site structure", "discover pages", "JS rendering", or needs site-wide analysis.

Overview

PublisherAgriciDaniel
Repositoryclaude-seo
Skill nameseo-firecrawl
Stars
17.1K
Forks
2.5K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AgriciDaniel on GitHub. Read the source before you install it.

Installation

Install the Seo Firecrawl AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git /tmp/claude-seo
mkdir -p .claude/skills
cp -r /tmp/claude-seo/extensions/firecrawl/skills/seo-firecrawl .claude/skills/seo-firecrawl
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Firecrawl in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Seo Firecrawl on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Seo Firecrawl is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Firecrawl Extension for Claude SEO

This skill requires the Firecrawl extension to be installed:

bash
./extensions/firecrawl/install.sh

Check availability: Before using any Firecrawl tool, verify the MCP server is connected by checking if firecrawl_scrape or any Firecrawl tool is available. If tools are not available, inform the user the extension is not installed and provide install instructions.

Quick Reference

CommandPurpose
/seo firecrawl crawl <url>Full-site crawl with content extraction
/seo firecrawl map <url>Discover site structure (URLs only, fast)
/seo firecrawl scrape <url>Single-page scrape with JS rendering
/seo firecrawl search <query> <url>Search within a crawled site

Commands

crawl -- Full-Site Crawl

Crawl an entire website starting from the given URL. Returns page content, metadata, and links for all discovered pages.

MCP Tool: firecrawl_crawl

Parameters:

  • url (required): Starting URL to crawl
  • limit: Max pages to crawl (default: 100, max: 500)
  • maxDepth: Max link depth from start URL (default: 3)
  • includePaths: Array of glob patterns to include (e.g., ["/blog/*"])
  • excludePaths: Array of glob patterns to exclude (e.g., ["/admin/*", "/api/*"])
  • scrapeOptions.formats: Output formats -- ["markdown", "html", "links"]

SEO Usage Patterns:

  1. Comprehensive audit crawl: Crawl full site, extract all pages for subagent analysis
  2. Section-focused crawl: Use includePaths to audit only /blog/* or /products/*
  3. Broken link detection: Crawl with ["links"] format, check all hrefs for 404s
  4. Content inventory: Extract all page titles, meta descriptions, H1s at scale
  5. SPA/JS-rendered sites: Firecrawl renders JavaScript, solving the Issue #11 problem

Example orchestration for /seo audit:

1. firecrawl_map(url) -> get all URLs (fast, no content)
2. Filter to top 50 most important pages (homepage, key sections)
3. firecrawl_crawl(url, limit=50) -> get full content
4. Feed content to seo-technical, seo-content, seo-schema agents

Cost awareness:

  • Free tier: 500 credits/month
  • 1 credit = 1 page crawled or scraped
  • Map operations are cheaper (0.5 credits per URL discovered)
  • Always inform user of estimated credit usage before large crawls

map -- Site Structure Discovery

Discover all URLs on a website without fetching content. Fast and credit-efficient.

MCP Tool: firecrawl_map

Parameters:

  • url (required): Website URL to map
  • limit: Max URLs to discover (default: 5000)
  • search: Optional search term to filter URLs

SEO Usage Patterns:

  1. Sitemap comparison: Map site, compare discovered URLs vs XML sitemap
  2. Orphan page detection: URLs in sitemap but not linked from any page
  3. Crawl budget analysis: Total indexable pages vs pages linked from homepage
  4. URL pattern analysis: Identify URL structure patterns, duplicates, parameter bloat
  5. Pre-audit discovery: Run map first, then targeted crawl on key sections

Output: Array of URLs. Present as:

Site: example.com
Pages discovered: 342

URL Pattern Breakdown:
  /blog/*          - 128 pages (37%)
  /products/*      - 89 pages (26%)
  /category/*      - 45 pages (13%)
  /pages/*         - 32 pages (9%)
  / (root pages)   - 48 pages (14%)

scrape -- Single-Page Deep Scrape

Scrape a single page with full JavaScript rendering. More thorough than fetch_page.py because it executes JS and waits for dynamic content.

MCP Tool: firecrawl_scrape

Parameters:

  • url (required): Page URL to scrape
  • formats: Output formats -- ["markdown", "html", "links", "screenshot"]
  • onlyMainContent: Strip nav/footer/sidebar (default: true)
  • waitFor: CSS selector or milliseconds to wait for content
  • timeout: Request timeout in ms (default: 30000)
  • actions: Browser actions before scraping (click, scroll, wait)

SEO Usage Patterns:

  1. SPA content extraction: Scrape JS-rendered React/Vue/Angular pages
  2. Dynamic content audit: Pages with lazy-loaded content below the fold
  3. Paywall/login detection: Identify content behind authentication walls
  4. Main content extraction: Use onlyMainContent for clean E-E-A-T analysis
  5. Screenshot capture: Use screenshot format for visual analysis

When to use scrape vs fetch_page.py:

ScenarioUse
Static HTML pagefetch_page.py (no API cost)
JS-rendered SPAfirecrawl_scrape (renders JS)
Need response headersfetch_page.py (returns headers)
Need clean markdownfirecrawl_scrape (better extraction)
Rate-limited/blockedfirecrawl_scrape (handles anti-bot)

search -- Site-Scoped Search

Search within a website for specific content. Useful for finding pages related to a topic without crawling everything.

MCP Tool: firecrawl_search

Parameters:

  • query (required): Search query
  • url (required): Website to search within
  • limit: Max results (default: 10)
  • scrapeOptions.formats: Output format for matched pages

SEO Usage Patterns:

  1. Content gap validation: Search for a keyword on the site to check if content exists
  2. Internal linking opportunities: Find pages mentioning a topic that could link to each other
  3. Duplicate content detection: Search for key phrases to find near-duplicates
  4. Competitor content research: Search competitor site for specific topics

Cross-Skill Integration

With seo-audit (full audit)

When Firecrawl is available during /seo audit:

  1. Use firecrawl_map to discover all site URLs
  2. Compare with XML sitemap (seo-sitemap) to find orphan/missing pages
  3. Select top pages for deep analysis
  4. Feed crawled content to all subagents (technical, content, schema, geo)
  5. Report total crawlable pages, URL patterns, and crawl depth

With seo-technical

  • Broken link detection: crawl all internal links, check for 404s
  • Redirect chain mapping: follow all redirects, flag chains > 2 hops
  • Mixed content detection: check HTTP resources on HTTPS pages
  • Canonical verification: compare canonical URLs with actual URLs

With seo-sitemap

  • Sitemap coverage: % of crawled pages present in sitemap
  • Orphan pages: pages found by crawl but missing from sitemap
  • Stale sitemap entries: URLs in sitemap that return 404/410

With seo-content

  • Content extraction: feed clean markdown to E-E-A-T analysis
  • Thin content detection: identify pages with < 300 words at scale
  • Duplicate content: compare content across pages for near-duplicates

With seo-schema

  • Schema extraction: pull JSON-LD from all crawled pages
  • Schema coverage: % of pages with structured data
  • Schema validation: batch-validate extracted schemas

Error Handling

ErrorCauseResolution
FIRECRAWL_API_KEY not setMCP not configuredRun ./extensions/firecrawl/install.sh
402 Payment RequiredCredits exhaustedCheck usage at firecrawl.dev/app, upgrade plan
429 Too Many RequestsRate limitedWait 60s, reduce crawl concurrency
408 TimeoutPage too slow to renderIncrease timeout, try without JS rendering
403 ForbiddenSite blocks crawlingCheck robots.txt, may need to skip this site

Graceful fallback: If Firecrawl is unavailable, inform the user and suggest:

  1. Use fetch_page.py for single-page analysis (no API cost)
  2. Use WebFetch tool for basic HTML retrieval
  3. Install Firecrawl: ./extensions/firecrawl/install.sh

Frequently asked questions

What does the Seo Firecrawl AI skill do?

Full-site crawling, scraping, and site mapping via Firecrawl MCP. Use when user says "crawl site", "map site", "full crawl", "find all pages", "broken links", "site structure", "discover pages", "JS rendering", or needs site-wide analysis.

Why use Seo Firecrawl on TypingMind?

Because you install it once and use it with any model. Seo Firecrawl is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Seo Firecrawl in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgriciDaniel/claude-seo/tree/main/extensions/firecrawl/skills/seo-firecrawl. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Seo Firecrawl?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Seo Firecrawl?

As many as you like. As long as a model supports skills, you can use Seo Firecrawl with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Seo Firecrawl AI skill free?

Yes. It is published on GitHub by AgriciDaniel under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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