Booking.com Scraper

Scrape hotel data, prices, ratings, and reviews from Booking.com. Search by destination with dates or extract detailed property information from specific hotel URLs.

Features

• Search mode: Find hotels by destination + check-in/check-out dates
• Detail mode: Extract full property info from hotel URLs
• Rich filters: Star rating, price range, property type, review score, sort order
• Complete data: Prices, discounts, reviews, amenities, room types, photos, coordinates
• Multi-currency: Get prices in any currency Booking.com supports (USD, EUR, GBP, etc.)
• Multi-language: Results in any Booking.com language (en-us, de, fr, nl, etc.)
• Pagination: Automatically scrapes multiple pages of search results
• Anti-blocking: Powered by Crawlee — automatic fingerprint randomization, session pool with proxy rotation, block detection & retry

Input — Search Mode

Field	Type	Default	Description
mode	string	search	Set to search
destination	string	required	City, region, or hotel name
checkin	string	+30 days	Check-in date (YYYY-MM-DD)
checkout	string	+32 days	Check-out date (YYYY-MM-DD)
adults	integer	2	Number of adults
rooms	integer	1	Number of rooms
currency	string	USD	Currency code
maxPages	integer	5	Max pages to scrape (~25 hotels/page)
sortBy	string	—	Sort: price, distance, review_score_and_price, etc.
stars	array	—	Filter by stars, e.g. [4, 5]
minPrice	integer	—	Min price per night
maxPrice	integer	—	Max price per night
minReviewScore	integer	—	Min score: 60/70/80/90

Example Search Input

{
    "mode": "search",
    "destination": "Amsterdam, Netherlands",
    "checkin": "2026-06-01",
    "checkout": "2026-06-03",
    "adults": 2,
    "currency": "EUR",
    "maxPages": 3,
    "stars": [4, 5],
    "sortBy": "review_score_and_price"
}

Input — Detail Mode

Field	Type	Description
mode	string	Set to detail
urls	array	List of Booking.com hotel URLs

Example Detail Input

{
    "mode": "detail",
    "urls": [
        "https://www.booking.com/hotel/nl/waldorf-astoria-amsterdam.html",
        "https://www.booking.com/hotel/nl/the-dylan-amsterdam.html"
    ]
}

Output — Search Results

Each hotel in search results includes:

Field	Description
name	Hotel name
url	Direct Booking.com link
price	Total price for stay
price_currency	Currency code
original_price	Price before discount
discount_percent	Discount percentage
review_score	Guest score (0-10)
review_count	Number of reviews
review_word	Rating label (Superb, Very Good, etc.)
stars	Star rating (1-5)
location	Neighborhood/area
distance_from_center	Distance from center
free_cancellation	Free cancellation available
breakfast_included	Breakfast included
room_type	Recommended room type
image	Main photo URL

Output — Hotel Details

Detail mode returns comprehensive property data:

Field	Description
hotel_id	Booking.com hotel identifier (from URL)
description	Hotel description (up to 1000 chars)
address	Full street address
city	City name
country	Country code (GB, NL, ES, etc.)
stars	Official star rating (1-5, extracted from page data)
review_score	Overall guest score (0-10)
review_count	Total number of reviews
review_word	Rating label (Exceptional, Superb, Very Good, Good)
review_scores	Per-category scores: Facilities, Cleanliness, Comfort, Location, etc.
amenities	Popular hotel facilities (Free Wifi, Pool, Parking, etc.)
images	Gallery photo URLs in max resolution
rooms	Room types with bed configurations and max occupancy
checkin_time / checkout_time	Check-in/out times (e.g. "3:00 PM" / "11:00 AM")
property_type	Hotel, Hostel, Apartment, B&B, etc.

Proxy Configuration

Booking.com has strong anti-bot protection. Residential proxies are recommended for reliable results:

{
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Cost Estimate

Using Apify residential proxies:

• Search: ~$0.10-0.15 per page (25 hotels)
• Detail: ~$0.05-0.10 per hotel page
• Typical run (5 pages, 125 hotels): ~$0.50-0.75

How It Works

This actor uses Crawlee PlaywrightCrawler with:

• Browser fingerprint randomization — each request uses a unique browser fingerprint
• Session pool — automatic proxy/session rotation when blocks are detected
• Smart retries — blocked requests are retried with fresh sessions (up to 6 attempts)
• 404 detection — non-existent hotel pages are reported cleanly without wasting retries

Tips

1. Dates matter: Prices vary significantly by dates. Always specify check-in/check-out.
2. Use filters: Star rating and price filters reduce pages and speed up scraping.
3. Residential proxies: Datacenter proxies get blocked quickly by Booking.com.
4. Currency: Set currency to avoid conversion issues — Booking.com returns prices in the selected currency.
5. Memory: Search mode works with 2 GB. Detail mode with multiple hotels may need 4 GB.