Best Airbnb Datasets, Databases & APIs
Airbnb data | 2021 Occupancy, Daily rate, active listings | Per country, city, zipcode
Airbnb Data by State - Active listings count, average daily rate, average occupancy [USA] [SEP 24TH-OCT 24TH] [2021]
Airbnb Data by Zipcode - Active listings count, average daily rate, average occupancy [USA] [SEP 24TH-OCT 24TH] [2021]
Airbnb Data by County - Active listings count, average daily rate, average occupancy [USA] [SEP 24TH-OCT 24TH] [2021]
Airbnb data for research purpose
Airbtics - Airbnb Data - Business KPI Tracker for Europe, North & South America, Oceania






The Ultimate Guide to Airbnb Data 2022
What is AirBnB Data?
AirBnB data is a sub-category of hospitality, travel & tourism data. It provides and insight into the world of AirBnB rentals, such as pricing, availability and competition. It is useful for many people looking to maxmize the potential of their property - both long-term established owners and people looking to get started.
How is AirBnB Data collected?
AirBnB collects data when users use the website. It provides analytics on location interest as well as stay durations by tracking users’ online movements. This gives a clear report of consumers’ interests and trends which can be used by the hospitality industry. Consumer input is also important. Reviews and photos provide a clearer picture of the dataset and give a good insight into the AirBnB market.
What are the attributes of AirBnB Data?
There are many different aspects to AirBnB data from both the consumer and host side of the operation.
Consumer-side data - This can include reviews and shared experiences as well as basic data such as costs paid and nights stayed.
Host-side data - This includes property availabilities, property size and features as well as nightly rates. AirBnB data can also be refined to show data for a specific country or area to ensure that your property is actively competing with others locally.
What is AirBnB Data used for?
AirBnB data is used by property owner and business to maxmize their profitability. You can see which areas and property types are the most successful to ensure that your AirBnBs keep up in the busy market. This data can be useful for established renters or people looking to get started in the market. For example, nightly rate data can show how your costs compare to those of properties around you and reviews can tell you what consumers are looking for or the extent of the demand for AirBnBs in your area. Businesses can use the data to see which areas gain the most interest and who the people going to different places are to tailor their services to the visitors’ needs.
How can a user assess the quality of AirBnB Data?
It is important to make sure that the dataset you choose is up to date with the latest information due to constantly evolving nature of the AirBnB sphere. Always make sure to check the data provider’s reviews before buying AirBnB data and ask for a data sample before buying to ensure that their data matches your business’ needs.
Where can I buy Airbnb Data?
Data providers and vendors listed on Datarade sell Airbnb Data products and samples. Popular Airbnb Data products and datasets available on our platform are Airbnb data | 2021 Occupancy, Daily rate, active listings | Per country, city, zipcode by Airbtics, Airbnb Data by State - Active listings count, average daily rate, average occupancy [USA] [SEP 24TH-OCT 24TH] [2021] by Rabbu, and Airbnb Data by Zipcode - Active listings count, average daily rate, average occupancy [USA] [SEP 24TH-OCT 24TH] [2021] by Rabbu.
How can I get Airbnb Data?
You can get Airbnb Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Airbnb Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Airbnb Data APIs, feeds and streams to download the most up-to-date intelligence.
What are the most common use cases for Airbnb Data?
The top use cases for Airbnb Data are Real Estate Analytics, Real Estate Intelligence, and Real Estate Insights.