Booking Com Scraper avatar

Booking Com Scraper

Pricing

Pay per usage

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Booking Com Scraper

Booking Com Scraper

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Web Data Labs

Web Data Labs

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

a day ago

Last modified

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Booking.com Hotel Scraper

Scrape Booking.com hotel listings at scale: name, price, rating, reviews, location, and property type.

Why Hotel Data Matters

Hotel pricing data drives revenue management, OTA competitive intelligence, market research, and travel aggregator products. The challenge: Booking.com is one of the most heavily protected travel sites on the internet. Reliable scraping means solving rate limits, regional pricing variations, anti-bot challenges, and dynamic JS rendering — all of which break naive scrapers within minutes.

This actor handles that complexity for you. You provide a location and dates; we return clean, structured hotel data.

Input

{
"location": "London, UK",
"check_in": "2026-06-10",
"check_out": "2026-06-15",
"max_results": 50,
"currency": "USD"
}
FieldTypeDescription
locationstringRequired. Search location, e.g. "London, UK" or "Paris, France"
check_instringOptional check-in date (YYYY-MM-DD). Improves price accuracy.
check_outstringOptional check-out date (YYYY-MM-DD).
max_resultsintegerMaximum hotels to return. Free plan limited to 5. Default: 50.
currencystringCurrency code (USD, EUR, GBP, etc.). Default: USD.

Output

Each result is a hotel record:

{
"hotel_id": "12345",
"name": "The Royal Park Hotel",
"price_per_night": 189.50,
"currency": "USD",
"rating": 8.7,
"reviews_count": 1842,
"property_type": "Hotel",
"city": "London",
"country": "United Kingdom",
"thumbnail_url": "https://cf.bstatic.com/...",
"hotel_url": "https://www.booking.com/hotel/gb/...html",
"latitude": null,
"longitude": null,
"scraped_at": "2026-05-01T15:30:00.000Z"
}

Pricing

Pay per result. First 5 results free. After that: $0.008 per hotel returned (activates 2026-05-17).

No charge if the actor returns zero results.

Use Cases

  • Hotel revenue management — track competitor pricing in real-time across markets
  • OTA competitive intelligence — monitor inventory, promotions, and discount strategy
  • Travel aggregator products — populate hotel comparison sites and metasearch
  • Market research — analyze pricing distributions, occupancy signals, property mix by city
  • Tourism intelligence — track seasonal pricing trends across destinations

Notes

  • Use ISO date format YYYY-MM-DD for check-in/check-out.
  • Larger max_results may span multiple result pages; expect proportional runtime.
  • Rate-limited internally to respect Booking.com's infrastructure.

Support

Open an issue on the actor's Apify page if you hit problems or want a feature added.