Booking.com Scraper — Hotel & Accommodation Search

Scrape hotels, apartments, and other accommodations from Booking.com search results. Extract prices, ratings, reviews, availability, amenities, and more — with residential proxy support to avoid blocking.

[💰 $1.00 / 1,000 results] — no monthly subscription, no hidden fees.

Why This Scraper?

• Pay only per result — flat $1.00 per 1,000 hotels, all platform costs included
• Direct URL support — paste any Booking.com search or hotel URL, the actor handles both modes
• Every Booking.com search field exposed — dates, guests, rooms, currencies, star rating, price range, and sort order
• Anti-bot protection handled — Playwright with residential proxies bypasses Booking.com's WAF where simple scrapers fail
• 20+ data fields per hotel — prices, review scores, star ratings, room types, cancellation policy, breakfast, distance, photos, and more
• Automatic pagination — scrapes across multiple result pages until your maxResults is reached
• Multi-language support — works with English, Finnish, Swedish, German, French, Dutch, Polish, and more
• Clean, flat output — every field is a primitive type (string, number, boolean), ready for spreadsheets and databases

Who Is It For?

• Revenue managers and hoteliers monitoring competitor pricing across their market
• Travel agencies and OTAs building data feeds or price comparison tools
• Data analysts and researchers studying hotel supply, pricing trends, and review distributions
• Developers integrating accommodation data into applications, dashboards, or automated pipelines
• Individual travelers who want to track prices for a specific destination over time

Use Cases

• Travel price monitoring — track hotel prices in a destination over time to find the best booking window
• Competitor analysis for hoteliers — compare your property's pricing and review scores against nearby competitors
• Market research — analyze hotel supply, pricing tiers, and review distributions across cities or regions
• Lead generation for travel agencies — build lists of hotels with locations, ratings, and pricing
• Travel content & editorial — power "Top 25 hotels in Lisbon" guides with live data
• Aggregator data feeds — power a travel comparison site or internal dashboard with fresh Booking.com data

Quick Start

1. Search by location (most common)

{
  "locations": ["Barcelona, Spain"],
  "maxResults": 50,
  "checkIn": "2026-09-01",
  "checkOut": "2026-09-07",
  "adults": 2,
  "rooms": 1,
  "currency": "USD",
  "sortOrder": "review"
}

2. Filtered — narrow by stars, price, and currency

{
  "locations": ["Lisbon"],
  "maxResults": 100,
  "checkIn": "2026-07-10",
  "checkOut": "2026-07-15",
  "adults": 2,
  "currency": "EUR",
  "minPrice": 80,
  "maxPrice": 200,
  "starsFilter": ["4", "5"],
  "sortOrder": "review"
}

3. Direct Booking.com URLs

Paste any Booking.com hotel page or search URL. The actor visits each property and extracts all available data.

{
  "startUrls": [
    { "url": "https://www.booking.com/hotel/gb/the-savoy.html" },
    { "url": "https://www.booking.com/hotel/es/arts-barcelona.html" }
  ],
  "checkIn": "2026-09-01",
  "checkOut": "2026-09-07",
  "currency": "EUR"
}

Input

Parameter	Type	Default	Description
startUrls	array	[]	Direct Booking.com hotel or search page URLs
locations	string[]	["San Francisco, CA"]	Cities/areas to search
maxResults	integer	30	Maximum results to return
checkIn	string	"2026-08-01"	Check-in date (YYYY-MM-DD)
checkOut	string	"2026-08-07"	Check-out date (YYYY-MM-DD)
adults	integer	2	Number of adults (1-30)
children	integer	0	Number of children (0-10)
rooms	integer	1	Number of rooms (1-30)
currency	enum	"USD"	Currency: USD, EUR, GBP, JPY, CAD, AUD, CHF, SEK, NOK, DKK, PLN, CZK, HUF, BRL, INR, CNY, KRW, MXN, TRY
sortOrder	enum	"popularity"	Sort: popularity, price, review, stars, distance
minPrice	integer	0	Minimum price per night filter
maxPrice	integer	0	Maximum price per night filter
starsFilter	string[]	[]	Filter by star rating (e.g., ["4", "5"])
useProxy	boolean	true	Enable residential proxies (recommended)

Output

Field	Type	Description
title	string	Hotel/property name
hotel_id	string	Booking.com hotel ID from URL
url	string	Clean Booking.com property URL (tracking removed)
star_rating	string	Star classification (1-5)
review_score	number	Guest review score (0.0-10.0)
review_label	string	Qualitative label (e.g., "Wonderful", "Very Good")
review_count	integer	Number of guest reviews
location_score	number	Location rating score
location	string	Address/area text
distance	string	Distance from city center
price	number	Total price for the stay
price_per_night	number	Average price per night
currency	string	Currency code (USD, EUR, etc.)
original_price	number	Original/strikethrough price
price_label	string	Price period description
room_type	string	Recommended room/unit type
free_cancellation	boolean	Whether free cancellation is available
breakfast_included	boolean	Whether breakfast is included
property_type	string	Property type (Hotel, Apartment, Resort, etc.)
is_preferred	boolean	Whether property has Preferred/Genius badge
image_url	string	Property image URL
availability	string	Room availability text
search_source	string	Whether from location_search or direct_url
search_location	string	The location searched
platform	string	Always "booking.com"
scraped_at	string	ISO 8601 timestamp

Pricing

Tier	Price
Pay per result	$1.00 / 1,000 results

All platform costs (compute, residential proxy, storage) are included. No monthly subscription.

Tips for Best Results

• Start small — test with maxResults: 10 before running large scrapes
• Set specific dates — Booking.com prices vary significantly by date
• Use price filters — narrow results with minPrice and maxPrice to focus on your target segment
• Filter by stars — use starsFilter: ["4", "5"] to only get upscale properties
• Change currency — set currency to your local currency to avoid conversion math
• Residential proxies recommended — the actor uses them by default for best reliability against Booking.com's WAF
• Batch URLs — when scraping by direct URL, include 5+ hotels per run for best value

Notes

• Booking.com uses heavy JavaScript rendering — PlaywrightCrawler is required
• Residential proxies are strongly recommended (Booking.com blocks datacenter IPs)
• Targets vary by region — results are in the chosen currency
• Max ~25-30 cards per page; maxResults controls total across all pages
• Direct hotel URLs skip pagination (single property only)

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