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.
- 97.36% 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:
- Hotel property details and descriptions
- Room rates and pricing tiers
- Availability calendars and inventory
- Guest reviews and ratings
- Hotel amenities and facilities
- Location coordinates and address data
- Booking policies and terms
- Special offers and promotions
- Property photos and galleries
- Contact information and chain affiliations
Booking.com Scraper Success Rate
The graph below contains real data based on our scraping operations. Latest update was 9 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
| Field | Type | Description | Example |
|---|---|---|---|
hotel_id | string | Unique identifier for the hotel property on Booking.com | hotel_987654321 |
hotel_name | string | Official name of the hotel property | Grand Plaza Hotel & Spa |
star_rating | number | Official star rating of the hotel (1-5 stars) | 4 |
guest_rating | number | Average guest rating score out of 10 | 8.7 |
review_count | number | Total number of guest reviews for the property | 2543 |
price_per_night | number | Current room rate per night in local currency | 189.00 |
currency | string | Currency code for pricing | USD |
address | string | Full street address of the hotel | 123 Main Street, Downtown District |
city | string | City where the hotel is located | New York |
country | string | Country where the hotel is located | United States |
latitude | number | Hotel latitude coordinate | 40.7831 |
longitude | number | Hotel longitude coordinate | -73.9712 |
amenities | array | List of hotel facilities and services | ["Free WiFi", "Fitness center", "Restaurant", "Room service"] |
room_type | string | Type of room being priced | Superior Double Room |
availability_status | string | Current booking availability status | Available |
Sample Booking.com API Response
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
Rebrowser provides official client libraries for Python, JavaScript/Node.js, Java, PHP, Ruby, Go, and .NET, making integration seamless regardless of your technology stack. Additionally, our RESTful API design allows for easy implementation in any language capable of making HTTP requests, with comprehensive documentation available for custom implementations.
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.
Our intelligent proxy selection algorithm considers multiple factors including target website characteristics, historical success rates, current proxy performance metrics, geographic requirements, and specific extraction needs. This dynamic approach ensures each request uses the most appropriate proxy from our diverse pool of 10 providers, maximizing success rates while minimizing detection risk.
Rebrowser Web Scraper API supports multiple data formats to accommodate various integration needs. These include JSON and NDJSON for modern applications, CSV and XLSX for spreadsheet analysis, XML for legacy system compatibility, and custom formats tailored to specific client requirements. Our flexible output options ensure seamless integration with your existing data pipelines.
Our systems employ adaptive extraction techniques that can automatically adjust to minor website structure changes. For significant redesigns, our monitoring system alerts our engineering team who can quickly update extraction patterns. Enterprise clients benefit from our Site Reliability Service, which guarantees continuous data flow even when target websites undergo major structural changes.
