Booking.com Hotel Scraper - Prices, Reviews & Availability

Scrape Booking.com hotel and accommodation search results for travel market research, price monitoring, and competitor analysis. The actor searches one or more destinations for a date range, extracts clean property records, deduplicates by Booking.com property ID, and saves the results to an Apify Dataset. Export to JSON, CSV, Excel, or HTML, or pull via the Apify API — no login and no API key required.

Each clean hotel record is charged with the hotel-scraped pay-per-event event after it is saved. The actor skips incomplete cards that do not expose a property name and Booking.com hotel URL, so the dataset avoids empty placeholder rows.

Features

• Multiple destinations in one run
• Check-in and check-out date search
• Adults, rooms, currency, review score, and property type inputs
• Pagination up to 500 properties per destination
• Residential proxy support for Apify cloud runs
• Random delays, session pool, and retry handling
• Null fallbacks for fields that Booking.com does not expose on every search card

Data Extracted

Field	Description
propertyId	Booking.com hotel slug or property ID
hotelName	Property name
propertyType	Hotel, apartment, hostel, villa, resort, B&B, or guest house when exposed
starRating	Star rating when exposed
guestReviewScore	Guest review score from 0 to 10
reviewCount	Number of reviews
totalPrice	Total stay price for the searched dates
pricePerNight	Calculated or exposed nightly price
originalPrice	Original price before discount when exposed
discountPercentage	Discount percentage when calculable
currency	Requested currency
breakfastIncluded	Breakfast signal from the card
freeCancellation	Free cancellation signal from the card
roomsAvailable	Rooms available when exposed
amenities	Amenities/facilities exposed on the card
city / country	Parsed from destination input
distanceFromCityCenter	Distance text from Booking.com
address	Address when exposed
propertyUrl	Clean direct Booking.com hotel URL
thumbnailImageUrl	Property thumbnail image URL
latitude / longitude	Coordinates when exposed
sustainabilityBadge	Sustainability badge signal
geniusDiscount	Genius discount signal
scrapedAt	ISO timestamp

Use Cases

1. Hotel price monitoring across cities and dates
2. Travel app and comparison-site data enrichment
3. Hospitality competitor research
4. Market research by review score, price, and destination
5. Accommodation data collection for travel market research

How to Scrape Booking.com Hotels (Step by Step)

1. Click Try for free / Run.
2. Enter one or more destinations (e.g. Paris, France) and your checkIn / checkOut dates.
3. Set adults, rooms, currency, and maxResults (start small to test).
4. Optionally filter by propertyTypes and minReviewScore, then click Run.
5. When the run finishes, export results to JSON, CSV, Excel, or HTML, or pull them via the Apify API.

Sample Output

{
  "propertyId": "monsieur-george-amp-spa-champs-elysees",
  "hotelName": "Monsieur George Hotel & Spa - Champs-Elysees",
  "propertyType": null,
  "starRating": null,
  "guestReviewScore": 9,
  "reviewCount": 882,
  "reviewCategories": {
    "location": 8,
    "cleanliness": null,
    "comfort": null,
    "facilities": null
  },
  "city": "Paris",
  "country": "France",
  "distanceFromCityCenter": "4 km from downtown",
  "totalPrice": 1078,
  "pricePerNight": 539,
  "currency": "USD",
  "breakfastIncluded": false,
  "freeCancellation": false,
  "propertyUrl": "https://www.booking.com/hotel/fr/monsieur-george-amp-spa-champs-elysees.html",
  "thumbnailImageUrl": "https://cf.bstatic.com/xdata/images/hotel/square240/example.webp",
  "destination": "Paris, France",
  "scrapedAt": "2026-06-11T15:48:29.877Z"
}

Input Example

{
  "destinations": ["Paris, France"],
  "checkIn": "2026-07-01",
  "checkOut": "2026-07-03",
  "adults": 2,
  "rooms": 1,
  "propertyTypes": ["Hotels", "Apartments"],
  "minReviewScore": 7,
  "maxResults": 50,
  "currency": "USD",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Pricing

Event	Price
hotel-scraped	$0.003 per clean hotel record
1,000 hotels	$3.00
10,000 hotels	$30.00

Technical Details

• Runtime: Node.js 20 on apify/actor-node-playwright-chrome:20
• Scraping engine: Crawlee PlaywrightCrawler
• Proxy: Apify residential proxy recommended for cloud runs
• Retry policy: 3 retries with blocked-request retry handling
• Storage: Apify Dataset
• Charge model: Actor.charge({ eventName: "hotel-scraped" })

Notes

• Booking.com can vary card fields by market, destination, availability, and experiment. Unavailable fields are returned as null.
• The default Apify table view focuses on populated search-result fields and hides optional columns that are often unavailable on Booking.com cards. Raw JSON still includes those fields.
• This actor collects search result card data, not every detail available on individual hotel detail pages.
• Data is for research and business intelligence, not booking, legal, or financial advice.

Responsible Use

This Actor is intended for lawful collection of publicly available information only. Users are responsible for ensuring their use complies with the source website's terms, robots.txt, applicable privacy laws, including India's DPDP Act, and all local regulations.

Do not use this Actor to collect, store, sell, or misuse personal data without a lawful basis. The Actor author is not responsible for misuse by end users.