Booking Com Scraper
Pricing
Pay per usage
Booking Com Scraper
Pricing
Pay per usage
Rating
0.0
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Developer
Web Data Labs
Actor stats
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Bookmarked
2
Total users
1
Monthly active users
a day ago
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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"}
| Field | Type | Description |
|---|---|---|
location | string | Required. Search location, e.g. "London, UK" or "Paris, France" |
check_in | string | Optional check-in date (YYYY-MM-DD). Improves price accuracy. |
check_out | string | Optional check-out date (YYYY-MM-DD). |
max_results | integer | Maximum hotels to return. Free plan limited to 5. Default: 50. |
currency | string | Currency 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-DDfor check-in/check-out. - Larger
max_resultsmay 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.