Web Scraper Skill (Apify + Firecrawl)#

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

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

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Quick Decision Guide: Apify vs Firecrawl#

Use CaseRecommended ToolScrape a single page into markdown/JSONFirecrawl /scrapeCrawl an entire website (follow links)Firecrawl /crawlMap all URLs on a siteFirecrawl /mapSearch web + scrape resultsFirecrawl /searchScrape Instagram / TikTok / TwitterApify (social actors)Scrape Google Maps / reviewsApify (compass/crawler-google-places)Scrape Amazon productsApify (apify/amazon-scraper)Scrape Google Search resultsApify (apify/google-search-scraper)Custom actor / any Apify Store actorApify

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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)

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Firecrawl API Reference#

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

1. Scrape a Single Page#

http

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 — starts a job, then poll for results.

http

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:

http

GET /v2/crawl/{crawl-job-id}

Response: { "status": "completed", "total": 50, "data": [...] }

3. Map a Website's URLs#

http

POST /v2/map
{ "url": "https://example.com" }

Response: { "success": true, "links": [{ "url": "...", "title": "..." }] }

4. Search + Scrape in One Call#

http

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

Response: { "data": [{ "url": "...", "title": "...", "markdown": "..." }] }

5. Batch Scrape Multiple URLs#

http

POST /v2/batch/scrape
{
  "urls": ["https://a.com", "https://b.com"],
  "formats": ["markdown"]
}

Returns a job ID; poll with GET /v2/batch/scrape/{id}

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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 → get a runId and defaultDatasetId
2. Poll status until SUCCEEDED
3. Fetch results from the dataset

1. Run an Actor (Async)#

http

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

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

Response:

json

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

Common Actor IDs:

• apify/web-scraper — generic JS scraper
• apify/google-search-scraper — Google SERPs
• compass/crawler-google-places — Google Maps
• apify/instagram-scraper — Instagram
• clockworks/free-tiktok-scraper — TikTok
• apify/amazon-scraper — Amazon products

2. Poll Run Status#

http

GET /v2/acts/{actorId}/runs/{runId}?token=YOUR_TOKEN

Poll until status is SUCCEEDED or FAILED. Recommended interval: 5 seconds.

3. Fetch Results#

http

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 — it waits and returns dataset items directly:

http

POST /v2/acts/{actorId}/run-sync-get-dataset-items?token=YOUR_TOKEN
Content-Type: application/json

{ ...actor input... }

Common Actor Inputs#

Google Search Scraper:

json

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

Google Maps Scraper:

json

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

Web Scraper (generic):

json

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

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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.

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Code Templates#

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

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Error Handling#

• Firecrawl 402 → out of credits; user needs to upgrade plan
• Firecrawl 429 → rate limited; add delays between requests
• Apify FAILED run → 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)

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Best Practices#

1. Start small — 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 — don't use sync endpoints for crawls with 50+ pages
4. Store API keys securely — never hardcode them; use environment variables
5. Check rate limits — Firecrawl: varies by plan; Apify: 250k requests/min global
6. Prefer Firecrawl for LLM pipelines — markdown output is clean and ready for RAG/AI
7. Prefer Apify for social/structured data — specialized actors handle anti-bot better