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Booking.com Hotels Scraper (voyager/booking-scraper)
x402
Booking.com Hotels Scraper (voyager/booking-scraper) is a paid API for AI agents from stableapify.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Starts an Apify actor run that scrapes Booking.com for hotel and accommodation data including prices, ratings, addresses, and reviews by keyword or URL.
Price / call$0.01
Success—
StatusUnknown
How this service works
Start the "Booking Scraper" Apify actor (voyager/booking-scraper). Scrape Booking with this hotels scraper and get data about accommodation on Booking.com. You can crawl by keywords or URLs for hotel prices, ratings, addresses…
Output
Returns an actor run object with a run ID, status (e.g. READY), actor ID, start timestamp, total USD usage, and a default dataset ID where results will be stored once the run completes. Also returns a JWT token used to fetch the scraped dataset from the sibling endpoint.
Example use cases
Hotel price comparison for travel planning
“Scrape Booking.com for hotels in Barcelona for the keyword 'Barcelona beachfront hotels' and pull their prices, ratings, and addresses — get up to 100 results so I can compare options.”
Competitive analysis for hospitality business
“I need to pull all accommodation listings from these three Booking.com URLs for our competitor research: grab prices, star ratings, and property addresses, with a max of 100 items and 1024 MB memory.”
Travel data aggregation for a deals app
“Can you start a Booking.com scrape for 'cheap hostels in Amsterdam' and collect up to 50 results including prices, ratings, and location info so I can populate our deals feed?”
Technical details
Endpoint
POSThttps://stableapify.dev/api/actors/voyager/booking-scraper/callWhen to prefer
Choose this endpoint when you need structured accommodation data from Booking.com at scale — including prices, ratings, and addresses — and want to drive the query via keyword or URL. Prefer this over manual browsing or generic search APIs when you need bulk hotel data for price comparison, market research, or travel aggregation. Pair with the sibling dataset-fetch endpoint to retrieve results after the run completes.
Side effects
- Actor run fails to start due to invalid input parameters or unsupported Booking.com URL format
- Memory limit too low causing actor to crash mid-run
- Max items exceeded or rate limiting by Booking.com during scrape
- Token expiration before dataset is fetched
- Payment failure via x402 protocol preventing run initiation
- Run starts but returns empty dataset if search keyword yields no results
Input
{
"input": {
"username": "sarptecimer",
"includeEmail": false
},
"options": {
"memory": 1024,
"maxItems": 100
}
}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. |
Output
{
"run": {
"id": "snNXaOoNVXjztNgNt",
"status": "READY",
"actorId": "oeiQgfg5fsmIJB7Cn",
"startedAt": "2026-06-16T17:44:50.264Z",
"usageTotalUsd": 0,
"defaultDatasetId": "dw0rhIYVpT2gyAjbO"
},
"token": "eyJhbGciOiJIUzI1NiJ9.eyJydW5JZCI6InNuTlhhT29OVlhqenROZ050IiwiYWN0b3JJZCI6InZveWFnZXIvYm9va2luZy1zY3JhcGVyIiwiZGVmYXVsdERhdGFzZXRJZCI6ImR3MHJoSVlWcFQyZ3lBamJPIiwidyI6IjB4OWNjNDJmM2Q5MjQ1Yjg2N2FjY2NkNjMwYjQzZjkwNmMxNjY1YjE3NiIsImlhdCI6MTc4MTYzMTg5MCwiZXhwIjoxNzg0MjIzODkwfQ.F3HsT4a3iWa6MACtvC6rzGAy-zBfrYn0amcADAd9iUg"
}Tags
x402
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