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πŸ¦€ ClawHub

Web Scraper Skill

by @abhishekj9621

Use this skill to scrape, crawl, or extract data from websites using Apify or Firecrawl APIs. Trigger whenever the user wants to: scrape a URL, crawl a websi...

Versionv1.0.0
Downloads358
Installs1
TERMINAL
clawhub install web-scraper-skill

πŸ“– About This Skill


name: web-scraper-skill description: > Use this skill to scrape, crawl, or extract data from websites using Apify or Firecrawl APIs. Trigger whenever the user wants to: scrape a URL, crawl a website, extract structured data from web pages, run an Apify Actor, batch scrape multiple URLs, search and scrape the web, map a site's URLs, collect product/price/review data, or build any web data pipeline. If the user says things like "scrape this site", "get data from this URL", "crawl this website", "run an Apify actor", "use Firecrawl", "extract content from a page", "pull data from the web", or mentions any web data extraction task β€” always use this skill. Also use it when the user wants to choose between Apify and Firecrawl.

Web Scraper Skill (Apify + Firecrawl)

This skill helps Openclaw scrape and extract data from websites using two powerful APIs:

  • Firecrawl β€” best for scraping individual pages, crawling entire sites, and getting LLM-ready content (markdown)
  • Apify β€” best for specialized scrapers (social media, Google Maps, e-commerce, etc.) via pre-built Actors

  • Quick Decision Guide: Apify vs Firecrawl

    | Use Case | Recommended Tool | |---|---| | Scrape a single page into markdown/JSON | Firecrawl /scrape | | Crawl an entire website (follow links) | Firecrawl /crawl | | Map all URLs on a site | Firecrawl /map | | Search web + scrape results | Firecrawl /search | | Scrape Instagram / TikTok / Twitter | Apify (social actors) | | Scrape Google Maps / reviews | Apify (compass/crawler-google-places) | | Scrape Amazon products | Apify (apify/amazon-scraper) | | Scrape Google Search results | Apify (apify/google-search-scraper) | | Custom actor / any Apify Store actor | Apify |


    Authentication

    Both APIs require API keys passed via headers. Always ask the user for their key if not provided.

    Firecrawl: Authorization: Bearer fc-YOUR_API_KEY Apify: Authorization: Bearer YOUR_APIFY_TOKEN (or ?token=YOUR_TOKEN in URL)


    Firecrawl API Reference

    Base URL: https://api.firecrawl.dev/v2

    1. Scrape a Single Page

    POST /v2/scrape
    Authorization: Bearer fc-YOUR_API_KEY
    Content-Type: application/json

    { "url": "https://example.com", "formats": ["markdown"], // Options: markdown, html, rawHtml, links, screenshot, json "onlyMainContent": true, // Strips nav/footer/ads "waitFor": 0, // ms to wait before scraping (for JS-heavy pages) "timeout": 30000, // ms "blockAds": true, "proxy": "auto" // "auto", "basic", or "stealth" }

    Response: { "success": true, "data": { "markdown": "...", "metadata": {...} } }

    2. Crawl an Entire Website

    Crawling is async β€” starts a job, then poll for results.

    POST /v2/crawl
    {
      "url": "https://docs.example.com",
      "limit": 50,                      // Max pages
      "maxDepth": 3,
      "allowExternalLinks": false,
      "scrapeOptions": {
        "formats": ["markdown"],
        "onlyMainContent": true
      }
    }
    
    Response: { "success": true, "id": "crawl-job-id" }

    Poll status:

    GET /v2/crawl/{crawl-job-id}
    
    Response: { "status": "completed", "total": 50, "data": [...] }

    3. Map a Website's URLs

    POST /v2/map
    { "url": "https://example.com" }
    
    Response: { "success": true, "links": [{ "url": "...", "title": "..." }] }

    4. Search + Scrape in One Call

    POST /v2/search
    {
      "query": "best web scraping tools 2025",
      "limit": 5,
      "scrapeOptions": { "formats": ["markdown"] }
    }
    
    Response: { "data": [{ "url": "...", "title": "...", "markdown": "..." }] }

    5. Batch Scrape Multiple URLs

    POST /v2/batch/scrape
    {
      "urls": ["https://a.com", "https://b.com"],
      "formats": ["markdown"]
    }
    
    Returns a job ID; poll with GET /v2/batch/scrape/{id}


    Apify API Reference

    Base URL: https://api.apify.com/v2 Auth: Pass token as query param ?token=YOUR_TOKEN or in Authorization header.

    Core Workflow

    Apify runs "Actors" (pre-built scrapers). The flow is: 1. Start a run β†’ get a runId and defaultDatasetId 2. Poll status until SUCCEEDED 3. Fetch results from the dataset

    1. Run an Actor (Async)

    POST /v2/acts/{actorId}/runs?token=YOUR_TOKEN
    Content-Type: application/json

    { ...actor-specific input... }

    Response:
    {
      "data": {
        "id": "RUN_ID",
        "status": "RUNNING",
        "defaultDatasetId": "DATASET_ID"
      }
    }
    

    Common Actor IDs:

  • apify/web-scraper β€” generic JS scraper
  • apify/google-search-scraper β€” Google SERPs
  • compass/crawler-google-places β€” Google Maps
  • apify/instagram-scraper β€” Instagram
  • clockworks/free-tiktok-scraper β€” TikTok
  • apify/amazon-scraper β€” Amazon products
  • 2. Poll Run Status

    GET /v2/acts/{actorId}/runs/{runId}?token=YOUR_TOKEN
    
    Poll until status is SUCCEEDED or FAILED. Recommended interval: 5 seconds.

    3. Fetch Results

    GET /v2/datasets/{datasetId}/items?token=YOUR_TOKEN&format=json
    
    Optional params: format (json/csv/xlsx/xml), limit, offset

    4. Run Synchronously (≀5 minutes)

    For short runs, use the sync endpoint β€” it waits and returns dataset items directly:
    POST /v2/acts/{actorId}/run-sync-get-dataset-items?token=YOUR_TOKEN
    Content-Type: application/json

    { ...actor input... }

    Common Actor Inputs

    Google Search Scraper:

    { "queries": "web scraping tools", "maxPagesPerQuery": 1, "resultsPerPage": 10 }
    

    Google Maps Scraper:

    { "searchStringsArray": ["restaurants in Mumbai"], "maxCrawledPlaces": 20 }
    

    Web Scraper (generic):

    {
      "startUrls": [{ "url": "https://example.com" }],
      "pageFunction": "async function pageFunction(context) { const $ = context.jQuery; return { title: $('title').text() }; }",
      "maxPagesPerCrawl": 10
    }
    


    Output Handling

  • Firecrawl returns data directly in the response (or via polling for crawl/batch).
  • Apify stores results in a dataset; retrieve with GET /v2/datasets/{id}/items.
  • Both support JSON output. Firecrawl also provides clean markdown ideal for LLMs.
  • Apify also supports CSV, XLSX, XML output formats.

  • Code Templates

    See references/code-templates.md for ready-to-run Python and JavaScript code for both APIs.


    Error Handling

  • Firecrawl 402 β†’ out of credits; user needs to upgrade plan
  • Firecrawl 429 β†’ rate limited; add delays between requests
  • Apify FAILED run β†’ check run logs via GET /v2/acts/{id}/runs/{runId}/log
  • Always wrap API calls in try/catch and check success: false in Firecrawl responses
  • Firecrawl crawls respect robots.txt by default
  • For JS-heavy pages, increase waitFor (Firecrawl) or use Playwright/Puppeteer actors (Apify)

  • Best Practices

    1. Start small β€” test with 1 URL or a small limit before scaling 2. Use onlyMainContent: true in Firecrawl to remove nav/footer noise 3. Choose async for large jobs β€” don't use sync endpoints for crawls with 50+ pages 4. Store API keys securely β€” never hardcode them; use environment variables 5. Check rate limits β€” Firecrawl: varies by plan; Apify: 250k requests/min global 6. Prefer Firecrawl for LLM pipelines β€” markdown output is clean and ready for RAG/AI 7. Prefer Apify for social/structured data β€” specialized actors handle anti-bot better

    πŸ“‹ Tips & Best Practices

    1. Start small β€” test with 1 URL or a small limit before scaling 2. Use onlyMainContent: true in Firecrawl to remove nav/footer noise 3. Choose async for large jobs β€” don't use sync endpoints for crawls with 50+ pages 4. Store API keys securely β€” never hardcode them; use environment variables 5. Check rate limits β€” Firecrawl: varies by plan; Apify: 250k requests/min global 6. Prefer Firecrawl for LLM pipelines β€” markdown output is clean and ready for RAG/AI 7. Prefer Apify for social/structured data β€” specialized actors handle anti-bot better