Booking.com Dataset
Access comprehensive datasets containing millions of hotel records from Booking.com with historical pricing, occupancy trends, and market performance data. Our curated datasets span major destinations worldwide with verified property information and guest feedback analytics.
Streamline your hospitality research and analysis with pre-processed hotel market data requiring no technical infrastructure. Perfect for industry analysts, academic researchers, and business strategists needing large-scale accommodation market intelligence.
- 96,888 new entries per day (see new entries graph)
Warning: This dataset is available only to enterprise customers. Please contact us for more details.
Booking.com Dataset Use Cases
Hospitality Market Research
Conduct comprehensive industry analysis, identify market opportunities, and benchmark performance against competitors. Access clean data for hospitality consulting, investment research, and strategic planning initiatives.
Tourism Economics Analysis
Study tourism patterns, destination performance, and economic impact using historical booking and pricing data. Perfect for government tourism boards, academic institutions, and economic development organizations.
Revenue Management Strategy
Develop sophisticated pricing models and demand forecasting systems using historical rate and occupancy data. Build competitive intelligence dashboards for hotel chains and independent properties.
Travel Technology Innovation
Power recommendation engines, price prediction algorithms, and market comparison tools with rich hospitality datasets. Enhance booking platforms and travel applications with data-driven insights and personalization.
Booking.com Dataset New Entries
The graph below contains real data based on our scraping operations. Latest update was 25 minutes ago.
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Real-time data with live updates from Booking.com
Custom data processing to fit your specific pipelines
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Datasets Available
Data Points
Records Processed
Accuracy Rate
Booking.com Dataset Benefits
Traditional data acquisition methods can be time-consuming, expensive, and often result in incomplete datasets.
Companies waste valuable resources and development time creating and maintaining their own data collection systems.
Rebrowser's ready-to-use Booking.com dataset provides instant access to clean, structured data without any infrastructure headaches.
Contact Us →Immediate Availability
Access ready-to-use data instantly instead of waiting weeks or months to build your own data collection pipeline.
Structured & Clean Data
All datasets are thoroughly processed, normalized, and validated to ensure high-quality, consistent information.
Zero Maintenance
We handle all updates and data freshness, allowing you to focus on using the data rather than collecting it.
Cost Efficiency
Save thousands in development and infrastructure costs by leveraging our pre-built dataset instead of creating your own.
Disclaimer: Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by Booking.com. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Booking.com user credentials. By using this dataset, you agree to comply with Booking.com's Terms of Service and all applicable laws and regulations. Images, logos, descriptions, and other materials included in this dataset remain the intellectual property of their respective owners and are provided solely for informational purposes. Rebrowser makes no warranties regarding the accuracy, completeness, or legality of the data and assumes no liability for how the data is used. You are solely responsible for ensuring that your use of this dataset, including any images or copyrighted materials, does not infringe on the rights of any third party.
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Frequently Asked Questions
This dataset provides comprehensive hotel and accommodation data from Booking.com including room rates, availability, property details, and guest reviews across global destinations. Filter by location, property type, star rating, and price range.
The dataset includes room rates across different dates, room types, and booking conditions. Analyze seasonal pricing patterns, identify peak and off-peak pricing, and study how rates change based on booking lead time and demand.
Property records include overall review scores and category-level rating breakdowns. Analyze guest satisfaction patterns across property types and destinations, identify what drives positive reviews, and benchmark properties against competitors.
Filter the dataset by location to compare accommodation pricing across cities, countries, and regions. Analyze price-to-quality ratios, identify budget-friendly and premium markets, and study how pricing varies by property type in different destinations.
Yes — hotel revenue managers use the dataset to monitor competitor rates, track market-wide pricing trends, and optimize their own pricing strategies. Analyze rate parity, study demand signals, and adjust pricing dynamically based on competitive intelligence.
The dataset includes property descriptions, facility lists, room types, photos, and location data. Analyze amenity trends, study how facility offerings affect pricing, and understand what property features drive the highest guest satisfaction.
Booking policy data including cancellation terms, payment requirements, and special conditions is captured in the dataset. Study how different cancellation policies affect booking rates and pricing across different property categories.
Track listing growth, pricing trends, and review volumes across destinations to identify markets with increasing tourist demand. Study how new properties and pricing changes signal emerging travel destinations.
Travel agencies use the dataset to build comparison tools, monitor rate changes, identify the best deals for clients, and optimize their inventory of accommodation offerings across destinations.
The dataset is refreshed regularly to capture current rates, availability changes, and new reviews. Historical data enables trend analysis, seasonal pattern identification, and long-term market research.
Booking.com operates globally with properties in over 200 countries. The dataset covers accommodations across all major travel destinations, enabling international market comparisons and regional analysis.
Data is available in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply destination, property type, and price filters before export to get precisely the hospitality data subset you need.
