Host & Invest Smarter
with Airbnb Data

We collect publicly available Airbnb listing information, including calendars, advertised prices, property details and reviews. By tracking changes over time, we estimate occupancy, nightly rates and revenue, giving you a broader view than asking a handful of hosts or checking today’s calendar.

Airbtics helps you understand what comparable properties are earning and how a market performs across seasons. Revenue is estimated, rather than taken from hosts’ private payout records, so individual results can differ. You can inspect nearby listings and compare properties with similar locations, bedrooms and amenities to build a realistic expectation for your own property.

An unavailable night doesn’t always mean a booking. Our model uses calendar changes, reviews and stay patterns to distinguish likely reservations from dates blocked for other reasons. We also adjust for last-minute bookings that can fall between scans. These checks improve the estimates, but cannot identify every night perfectly.

You don’t have to rely on a citywide average. Narrow your analysis by area, bedroom count and amenities, then review individual comparable listings. This helps you understand the performance of properties closer to yours, and avoid comparing a basic apartment with a luxury villa.

Airbtics covers Airbnb markets worldwide, including major cities, holiday destinations and smaller towns. The depth of analysis depends on the number of listings and their available history. Search your location, and contact us before subscribing if you need to confirm coverage for a particular area or property type.

Our historical datasets extend back to 2021, helping you compare seasonal patterns and changes across multiple years. The history available in the app depends on your plan and market. If you need older records or a specific period for research, contact us about a custom dataset.

We generally scan Airbnb listings weekly and refresh historical market metrics monthly, after processing and quality checks. Monthly figures describe completed periods, rather than live bookings. Check the date range shown in your analysis so you know exactly which months you’re comparing.

Send us the listing link or market, the date range and the figure you’re questioning. Our team can investigate whether the difference comes from the comparison period, our estimation method or a data issue. Your feedback also helps us identify and correct errors.