Airbnb Dataset
Access pre-compiled datasets containing millions of Airbnb property records with historical pricing, occupancy patterns, and market trends. Our curated datasets include verified listings across major cities and vacation destinations worldwide.
Get instant access to structured accommodation data without the complexity of web scraping infrastructure. Ideal for researchers, analysts, and businesses requiring large-scale vacation rental market intelligence for strategic decision-making.
- 87,790 new entries per day (see new entries graph)
Warning: This dataset is available only to enterprise customers. Please contact us for more details.
Airbnb Dataset Use Cases
Academic Research & Analysis
Conduct tourism economics research, urban planning studies, or hospitality industry analysis with comprehensive market data. Access clean, structured datasets perfect for statistical modeling and academic publications.
Business Intelligence & Strategy
Develop market entry strategies, identify expansion opportunities, and benchmark performance against industry standards. Use historical trends to forecast market conditions and investment returns.
Real Estate Investment Modeling
Analyze rental yield potential and property investment opportunities using historical occupancy and pricing data. Compare neighborhoods and property types to identify high-performing investment targets.
Travel Technology Development
Build recommendation engines, pricing algorithms, and market comparison tools using rich accommodation datasets. Enhance travel platforms with data-driven insights and personalized user experiences.
Airbnb Dataset New Entries
The graph below contains real data based on our scraping operations. Latest update was 3 minutes ago.
Advanced Airbnb Web Scraper Available Now!
Get real-time Airbnb data with custom processing to perfectly fit your data pipelines.
Real-time data with live updates from Airbnb
Custom data processing to fit your specific pipelines
Scalable infrastructure that bypasses anti-bot measures
Datasets Available
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Records Processed
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Airbnb 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 Airbnb 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 Airbnb. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Airbnb user credentials. By using this dataset, you agree to comply with Airbnb'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 Airbnb property listings with pricing, availability, host information, and guest reviews across global markets. You can browse, filter, and export data by location, property type, price range, and other attributes in multiple formats.
The dataset includes nightly rates and seasonal pricing data for properties across locations worldwide. Analyze how prices change by season, day of week, and local events to understand pricing dynamics and optimize your own rental pricing strategy.
Availability calendar data shows which dates are booked across properties. Study occupancy patterns by market, property type, and season to estimate revenue potential, identify peak demand periods, and optimize booking strategies.
The dataset includes host profiles with response rates, Superhost status, number of listings, and review scores. Analyze what separates top-performing hosts from average ones and benchmark your own hosting performance against market competitors.
Compare property prices, nightly rates, occupancy patterns, and review scores across different neighborhoods and cities. Calculate potential revenue by property type and location to identify markets with the best return on investment for short-term rentals.
Yes — the dataset includes guest review data with rating breakdowns across categories like cleanliness, communication, and location. Analyze guest sentiment, identify common complaints, and understand what drives high satisfaction scores in your market.
Use Airbnb listing data alongside hotel datasets to compare accommodation pricing, amenity offerings, and guest satisfaction across property types. Analyze where short-term rentals offer a price advantage and where hotels remain more competitive.
Listings include detailed amenity lists, property descriptions, bedroom/bathroom counts, and location data. Analyze which amenities correlate with higher prices and better reviews to optimize your property's offering and marketing.
Track new property listings entering specific markets over time. Monitor supply growth, analyze how new listings affect pricing, and identify neighborhoods with increasing or decreasing short-term rental activity.
The dataset is refreshed regularly to capture new listings, price changes, availability updates, and new reviews. Historical data enables trend analysis and seasonal pattern identification across global vacation rental markets.
Property managers use the dataset to benchmark managed properties against competitors, optimize pricing calendars, analyze guest review trends, and identify service improvement opportunities based on market-wide performance data.
Yes — filter by entire homes, private rooms, shared rooms, and unique stays like treehouses or boats. Analyze how property types perform differently in terms of pricing, occupancy, and guest satisfaction across various markets.
The dataset includes location data enabling geographic analysis of property performance. Study how proximity to attractions, transit, and amenities affects pricing and demand, and identify location sweet spots for new investments.
Data can be exported in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply filters and select specific fields before exporting to get the precise dataset you need for your analysis or application.
Researchers and policymakers use the dataset to study short-term rental market size, density, and impact on local housing markets. Track listing growth, analyze professional vs individual hosts, and assess the scale of short-term rental activity in specific jurisdictions.
