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Apify Facebook Search Scraper (Pay-Per-Call)
x402
Apify Facebook Search Scraper (Pay-Per-Call) is a paid API for AI agents from stableapify.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Scrapes Facebook pages, places, posts, and global search results by query using the danek/facebook-search-ppr Apify actor, returning structured post and page data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Search Apify Store actors, start actor runs, and fetch results over x402 and MPP.
Output
Returns structured data from Facebook matching the search query, including post text, page names, place details, dates, URLs, and engagement metrics depending on the search type selected. Results are capped at the requested max_posts count.
Example use cases
Brand mention monitoring on Facebook
“Search Facebook posts mentioning 'Nike Air Max' from January 1 2024 to March 31 2024 and scrape up to 200 results so I can see what people are saying about the product.”
Local business discovery by location
“Find Facebook places for 'coffee shops' in Austin, Texas — give me up to 100 results so I can see what local cafes have a Facebook presence.”
Competitor page content extraction
“Scrape the latest 75 posts from this Facebook page URL https://www.facebook.com/TechCrunch so I can analyze what content they've been publishing recently.”
Technical details
Endpoint
POSThttps://stableapify.dev/api/actors/danek/facebook-search-ppr/callWhen to prefer
Choose this endpoint when you need to extract public Facebook content — posts, pages, or places — without managing your own scraping infrastructure. It is ideal for social media research, brand monitoring, competitive analysis, and local business discovery on Facebook. Prefer this over general web scrapers when you need Facebook-specific structured output and date-range filtering.
Side effects
- Facebook anti-scraping blocks may cause empty or partial results
- Invalid or private Facebook URLs return no data
- Exceeding max_posts limits or requesting too large a dataset may cause timeouts
- Unsupported search_type values cause validation errors
- Date ranges with no matching content return empty result sets
- Actor memory limits exceeded for very large requests
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | object | Normalized actor input. See field descriptions for the simplified shape; native Apify input also accepted (passed through). |
| options | object | Optional Apify run options. |
Tags
x402
Reviews
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