Booking.com Scraper

Extract comprehensive hotel data from Booking.com including room rates, availability, property details, and guest reviews across global destinations. Our scraping solution handles complex search filters and provides real-time access to accommodation pricing and inventory data.
Monitor competitor rates, track seasonal pricing patterns, and analyze market demand with reliable hotel data extraction. Essential for hospitality professionals, travel agencies, and revenue managers seeking competitive intelligence and market insights.
  • 97.41% success rate (see success rate graph)
  • Real-time room rates and availability across different booking dates
  • Complete hotel property information including photos and facility details
  • Guest review analysis with scoring breakdowns and sentiment data
  • Geographic search capabilities with location-based filtering
  • Booking policies, cancellation terms, and special offer tracking

Booking.com Scraper API Use Cases

Revenue Management Optimization
Track competitor pricing strategies and adjust your hotel rates dynamically based on market conditions. Monitor demand patterns and optimize revenue through data-driven pricing decisions.
Travel Agency Intelligence
Build comprehensive hotel comparison tools and provide clients with real-time rate monitoring. Access inventory data to create better booking experiences and commission opportunities.
Market Analysis & Forecasting
Analyze hospitality trends, seasonal demand patterns, and destination popularity for strategic planning. Identify emerging markets and track tourism recovery in different regions.
Hotel Investment Research
Evaluate hotel performance metrics, occupancy rates, and market positioning for investment decisions. Compare properties and markets to identify acquisition or development opportunities.

Extractable Booking.com Data Points

Rebrowser Booking.com Scraper efficiently connects with Booking.com unofficial API interface, allowing users to extract comprehensive data elements from the platform, such as:

Booking.com Scraper Success Rate

The graph below contains real data based on our scraping operations. Latest update was 8 hours ago.
Ready-to-use Booking.com Dataset Available Now!
Access clean, structured Booking.com data instantly without building your own scraping infrastructure.
Millions of Booking.com data points ready to download
Daily updates with fresh data
Flexible data delivery via API or CSV/JSON exports

Sample Booking.com API Response Schema

FieldTypeDescriptionExample
hotel_idstringUnique identifier for the hotel property on Booking.comhotel_987654321
hotel_namestringOfficial name of the hotel propertyGrand Plaza Hotel & Spa
star_ratingnumberOfficial star rating of the hotel (1-5 stars)4
guest_ratingnumberAverage guest rating score out of 108.7
review_countnumberTotal number of guest reviews for the property2543
price_per_nightnumberCurrent room rate per night in local currency189.00
currencystringCurrency code for pricingUSD
addressstringFull street address of the hotel123 Main Street, Downtown District
citystringCity where the hotel is locatedNew York
countrystringCountry where the hotel is locatedUnited States
latitudenumberHotel latitude coordinate40.7831
longitudenumberHotel longitude coordinate-73.9712
amenitiesarrayList of hotel facilities and services["Free WiFi", "Fitness center", "Restaurant", "Room service"]
room_typestringType of room being pricedSuperior Double Room
availability_statusstringCurrent booking availability statusAvailable

Sample Booking.com API Response

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{
  "hotel_id": "hotel_987654321",
  "hotel_name": "Grand Plaza Hotel & Spa",
  "star_rating": 4,
  "guest_rating": 8.7,
  "review_count": 2543,
  "price_per_night": 189,
  "currency": "USD",
  "address": "123 Main Street, Downtown District",
  "city": "New York",
  "country": "United States",
  "latitude": 40.7831,
  "longitude": -73.9712,
  "amenities": [
    "Free WiFi",
    "Fitness center",
    "Restaurant",
    "Room service"
  ],
  "room_type": "Superior Double Room",
  "availability_status": "Available"
}
Devices Available
Profiles Created
Pages Crawled
Success Rate
Booking.com Scraping Challenges Solved
Traditional web scraping methods often fail due to sophisticated anti-bot measures and dynamic content.
Companies waste thousands of dollars on unreliable solutions that break regularly and require constant maintenance.
Rebrowser eliminates these headaches with a robust architecture designed to handle even the most protected websites like Booking.com.
Contact Us →
IP Blocking & CAPTCHAs
Websites detect and block scraping attempts through IP tracking and CAPTCHA challenges, causing project delays.
Dynamic JavaScript Content
Modern sites load content dynamically with JavaScript, making traditional scraping methods ineffective.
Maintenance Nightmare
Websites change structure frequently, breaking scrapers and requiring constant code updates and debugging.
Scaling Difficulties
Managing high-volume scraping operations requires complex infrastructure and load balancing to avoid detection.

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Start transforming your data operations today
We are a small team, focused on building highly specialized solutions that your business needs today.
We can start working on your project tomorrow and get you sample data within a few days.
No endless calls and emails with sales and managers – you get direct access to our core team who handles everything you need.
Get your sample data within 7 days
We can handle any website
Custom built API for your needs
Frequently Asked Questions

Our platform includes specialized batch processing capabilities designed for large-scale extraction jobs. Features include asynchronous job queuing with webhooks for completion notifications, distributed processing across our global infrastructure, intelligent workload partitioning for optimal resource utilization, and efficient data compression and streaming for minimal transfer overhead.

Multiple industries benefit from our API, including e-commerce businesses monitoring competitors' pricing, financial institutions tracking market trends, travel companies gathering flight and hotel data, real estate firms monitoring property listings, research organizations collecting public data, and marketing agencies analyzing consumer sentiment and trends across various online platforms.

Yes, Rebrowser supports authenticated scraping through several methods: API parameters for passing credentials, secure session management to maintain logged-in states across requests, cookie handling capabilities, and advanced fingerprinting to prevent account flagging. This enables reliable data extraction from password-protected areas while maintaining account security.

Rebrowser implements a multi-layered data verification system that includes automated structure validation, content consistency checks, sampling verification, and anomaly detection algorithms. For critical applications, we also offer human-in-the-loop verification options to ensure the highest levels of data accuracy and reliability.

Rebrowser integrates with 10 diverse proxy networks, including major residential proxy pools with millions of IPs, specialized datacenter proxies optimized for performance, exclusive mobile network providers, country-specific proxy pools for targeted geo-access, and private proxy networks with dedicated IPs. This multi-provider approach ensures optimal performance for different scraping scenarios.