Booking.com Hotel Scraper

Scrape hotel listings from Booking.com with 34+ structured fields including GPS coordinates, guest review scores, street addresses, discount badges, sold-out signals, high-res photos, and cancellation policies. Search any city, region, or country worldwide.

Export results as JSON, CSV, Excel, or HTML directly from the Apify platform.

How it works

1. Enter a destination (e.g., "Berlin", "Rome", "Tokyo")
2. Set check-in and check-out dates
3. Choose number of guests and rooms
4. Run the actor — results appear in seconds

The actor calls Booking.com's internal GraphQL API directly. No browser, no cookies, no manual session handling required.

Use cases

• Travel price comparison and monitoring — track nightly rates across hundreds of hotels for any destination and date range
• Revenue management and competitive pricing intelligence — monitor competitor pricing, discount patterns, and availability signals
• Market research for hotel operators and consultants — benchmark star ratings, pricing tiers, and cancellation policies by location
• Mapping hotel inventories with GPS data — build geo-analytics dashboards, coverage maps, or proximity-based filters using latitude/longitude
• Lead generation for travel agencies and OTAs — extract hotel contact details and inventory at scale
• Tracking promotional discount patterns — capture "Getaway Deal", "Limited-time Deal", and "Early Bird" badges as they appear
• Monitoring availability and sold-out signals — identify high-demand periods by tracking is_sold_out across date windows
• Building hotel comparison tools and travel apps — structured data with photos, GPS, pricing, and policies ready for direct integration
• Academic research on travel pricing patterns — large-scale structured dataset for econometric or machine-learning studies
• Yield analysis and demand forecasting — correlate occupancy signals with price fluctuations over time

Architecture note

HTTP-only (no browser) — uses Booking.com's internal GraphQL API with TLS fingerprinting. Significantly faster and cheaper than browser-based alternatives, with lower memory requirements and no risk of JavaScript rendering failures.

Output

Field	Type	Description
id	number	Booking.com hotel ID
name	string	Hotel name
url	string	Direct link to hotel on Booking.com
star_rating	number|null	Star rating (1–5)
review_score	number|null	Guest review score (0–10, e.g. 8.7)
review_count	number|null	Total number of guest reviews
review_score_word	string|null	Score label (Exceptional / Fabulous / Wonderful / Superb / Very Good / Good / Pleasant / Okay)
secondary_score	number|null	Secondary review sub-score (0–10)
room_type	string|null	Matching room/unit type name
meal_plan_text	string|null	e.g. "Breakfast included" when a meal is included
breakfast_included	boolean	Whether the offered rate includes breakfast
is_closed	boolean	Whether the hotel is temporarily closed
photo_url	string|null	Main photo (240px square)
photo_url_high_res	string|null	Main photo (600px square, high-res)
photos	string[]|null	All photo URLs (when includeAllPhotos=true)
location	string|null	District + city from search results
district	string|null	District or neighborhood
city	string|null	City from destination resolution
property_city	string|null	City from hotel's own data
property_country	string|null	Country from hotel's own data
country_code	string|null	ISO country code
address	string|null	Street address (e.g. "Kurfürstendamm 12")
latitude	number|null	GPS latitude
longitude	number|null	GPS longitude
distance_from_center	string|null	Distance from city center
price	number|null	Price for the whole booking: all nights and all searched rooms (for rooms > 1 the per-room prices are summed), not per night, in the selected currency
price_total	number|null	Same whole-booking price, rounded to 2 decimals
price_per_night	number|null	price_total ÷ nights, rounded to 2 decimals
nights	integer	Number of nights the price covers (check-out minus check-in)
rooms	integer	Number of rooms the price covers (the rooms input)
price_scope	string	booking when price covers all searched rooms; per_room if Booking returned fewer priced rooms than requested (price is then for one room)
original_price	number|null	Original price before discount, in the hotel's own currency (can differ from currency)
original_price_stay	string|null	Pre-discount formatted stay total (e.g. "CHF 259")
currency	string|null	Price currency code
is_sold_out	boolean	Whether sold out for selected dates
discount_badge	string|null	Promotion label ("Getaway Deal", "Limited-time Deal")
discount_badge_id	string|null	Internal badge identifier from Booking.com
free_cancellation	boolean	Free cancellation available
free_cancellation_until	string|null	Cancellation deadline date
no_prepayment	boolean	No prepayment required
room_id	string|null	Room type identifier
meal_plan	string|null	Included meal plan
scraped_at	string	ISO timestamp of when data was scraped

Pricing

Event	Cost
Start	$0.050 per run
Hotel	$0.005 per result

100 hotels = $0.55 | 1,000 hotels = $5.05

Input options

Field	Default	Description
destination	(required)	City, region, or country name
checkin	Tomorrow	Check-in date (YYYY-MM-DD)
checkout	Day after checkin	Check-out date (YYYY-MM-DD)
adults	2	Number of adult guests
children	0	Number of child guests
childrenAges	[]	Age (0-17) of each child. Missing ages default to 10
rooms	1	Number of rooms
currency	EUR	Price currency (ISO 4217)
sortBy	POPULARITY	Sort order (POPULARITY, PRICE, REVIEW_SCORE, DISTANCE)
maxResults	100	Max hotels to scrape (0 = unlimited)
includeAllPhotos	false	Include photos[] array with all photo URLs

Use with AI Agents (MCP)

Connect this actor to any MCP-compatible AI client — Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or custom agents.

Apify MCP server URL:

https://mcp.apify.com?tools=santamaria-automations/booking-com-scraper

Example prompts once connected:

"Use booking-com-scraper to find the 20 cheapest hotels in Rome for next weekend. Sort by price and return as a table with name, price per night, GPS coordinates, and cancellation policy."

"Scrape 50 hotels in Amsterdam for July 15–17 and show which ones have a discount badge active."

Clients that support dynamic tool discovery (Claude.ai, VS Code) will receive the full input schema automatically via add-actor.

Examples

Hotels in Berlin

{
  "destination": "Berlin",
  "checkin": "2026-08-01",
  "checkout": "2026-08-03",
  "adults": 2,
  "currency": "EUR",
  "maxResults": 50
}

Cheapest hotels in Rome

{
  "destination": "Rome",
  "checkin": "2026-09-01",
  "checkout": "2026-09-03",
  "sortBy": "PRICE",
  "maxResults": 100
}

Family trip to Zurich with photos

{
  "destination": "Zurich",
  "checkin": "2026-10-01",
  "checkout": "2026-10-05",
  "adults": 2,
  "children": 2,
  "rooms": 1,
  "currency": "CHF",
  "maxResults": 50,
  "includeAllPhotos": true
}

Hotels sorted by review score in Tokyo

{
  "destination": "Tokyo",
  "checkin": "2026-11-01",
  "checkout": "2026-11-04",
  "sortBy": "REVIEW_SCORE",
  "currency": "JPY",
  "maxResults": 200
}

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Classifieds

• Kleinanzeigen.de Scraper — Germany
• Willhaben.at Scraper — Austria
• Marktplaats.nl Scraper — Netherlands

Enrich your data

• Website Email & Phone Scraper
• Google Maps Scraper
• Website Contact Extractor

Changelog

1.2

• The currency and sortBy inputs are now applied to the results.
• Default currency is EUR. Previously prices came back in the proxy location's currency.
• Duplicate hotels across result pages are no longer returned or charged.

1.2.3

• Clarified that price is the total for the whole booking, not per night. Added price_total, nights and rooms; for rooms > 1, price and original_price now sum all rooms (before, only the first room was returned). For one room all values are unchanged. Searches with children now send child ages (new childrenAges input, default age 10) and no longer fail.

Issues & Feedback

Missing a field or not working as expected? Open an issue and we'll fix it.