Booking.com Scraper — Hotels, Prices & Reviews

Scrape hotel listings from Booking.com for any destination worldwide. Extract real-time prices, guest ratings, star ratings, amenities, room types, cancellation policies, and availability. No login or API key required.

Important: Proxy Required — Booking.com actively blocks automated access from datacenter IPs. This actor requires residential or premium proxies for reliable results. Configure proxyConfiguration with "apifyProxyGroups": ["RESIDENTIAL"] in your input. Without proper proxy configuration, requests will be blocked or return empty results.

What It Does

• Destination search — Enter any city, region, or landmark and get structured hotel listing data from Booking.com
• Real-time pricing — Extract current room prices with currency support for 36 currencies (USD, EUR, GBP, and more)
• Flexible filtering — Filter by check-in/check-out dates, number of guests, rooms, star rating, and sort order
• Rich details — Each listing includes ratings, review counts, amenities, address, distance to center, and cancellation policies
• Pay-per-result — Only charged for listings successfully extracted, starting at $0.005 per hotel

Input Parameters

Parameter	Type	Default	Description
destination	string	"New York"	City, region, or landmark to search on Booking.com
checkIn	string	—	Check-in date in YYYY-MM-DD format (defaults to tomorrow)
checkOut	string	—	Check-out date in YYYY-MM-DD format (defaults to day after check-in)
adults	integer	2	Number of adult guests
rooms	integer	1	Number of rooms
maxResults	integer	10	Maximum number of hotel listings to extract (max 1,000)
currency	string	"USD"	Price currency — 36 options including USD, EUR, GBP, JPY, AUD, CAD, CHF, BRL
sortBy	string	"popularity"	Sort by: popularity, price, review_score, distance, class, class_asc
starRating	array	—	Filter by star rating (e.g., [4, 5] for 4-star and 5-star only)
maxConcurrency	integer	3	Number of parallel browser sessions
proxyConfiguration	object	{"useApifyProxy": true}	Proxy settings for avoiding blocks

Output Example

Each hotel listing includes the following fields:

{
  "hotelName": "The Peninsula New York",
  "price": 895,
  "currency": "USD",
  "rating": 9.4,
  "reviewCount": 2847,
  "starRating": 5,
  "address": "700 Fifth Avenue, Manhattan, New York, NY 10019",
  "distance": "0.3 km from center",
  "amenities": ["Free WiFi", "Spa", "Fitness Center", "Restaurant", "Room Service", "Airport Shuttle"],
  "imageUrl": "https://cf.bstatic.com/xdata/images/hotel/max1024x768/386254123.jpg",
  "bookingUrl": "https://www.booking.com/hotel/us/the-peninsula-new-york.html",
  "roomType": "Deluxe King Room",
  "freeBreakfast": false,
  "freeCancellation": true,
  "destination": "New York",
  "checkIn": "2026-03-15",
  "checkOut": "2026-03-17",
  "nights": 2,
  "adults": 2,
  "rooms": 1,
  "scrapedAt": "2026-03-03T10:45:33.789Z"
}

Use Cases

• Travel price comparison — Monitor hotel prices across destinations and dates to find the best deals
• Market research — Analyze hotel pricing trends, occupancy signals, and competitive positioning in any market
• Revenue management — Track competitor pricing in real time to optimize your own hotel's rate strategy
• Travel app development — Feed structured hotel data into travel planning tools, aggregators, or booking comparison apps
• Investment analysis — Research hospitality markets by analyzing hotel density, star distribution, and pricing tiers
• Content creation — Build travel guides, hotel recommendation lists, or destination comparison articles with real data

API Usage

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('sovereigntaylor/booking-scraper').call({
    destination: 'Paris',
    checkIn: '2026-04-01',
    checkOut: '2026-04-05',
    adults: 2,
    maxResults: 50,
    currency: 'EUR',
    sortBy: 'review_score',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_API_TOKEN')
run = client.actor('sovereigntaylor/booking-scraper').call(run_input={
    'destination': 'Paris',
    'checkIn': '2026-04-01',
    'checkOut': '2026-04-05',
    'adults': 2,
    'maxResults': 50,
    'currency': 'EUR',
    'sortBy': 'review_score',
})
items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

cURL

curl "https://api.apify.com/v2/acts/sovereigntaylor~booking-scraper/runs" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{
    "destination": "Paris",
    "checkIn": "2026-04-01",
    "checkOut": "2026-04-05",
    "adults": 2,
    "maxResults": 50,
    "currency": "EUR",
    "sortBy": "review_score"
  }'

Pricing

This actor uses pay-per-event pricing — you only pay for listings successfully scraped.

Event	Price
Hotel listing scraped	$0.005

Example: Scraping 200 hotel listings for a destination = 200 x $0.005 = $1.00

Limitations

• Booking.com actively blocks automated access — residential proxies are recommended for best results
• Prices shown are for the room type Booking.com selects by default and may differ from all available room options
• Availability and prices change frequently — results reflect the moment of scraping only
• Some properties may be missing amenity details or images if Booking.com doesn't render them in the search results
• Maximum 1,000 listings per run (Booking.com limits search result pages)

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