Doorstep Analytics provides short term rental (STR) datasets for your analytics projects and AI models. Support your research with accurate, detailed, clean and ready to ingest CSV files. Designed for data scientists, researchers and property and investment analysts.
How does it work?
Doorstep Analytics calls multiple public Airbnb API and HTML endpoints, then formats and aggregates this data into CSV files. This includes listing product dispay page details, calendar availability, pricing per month and per week, review scores and text, and host business details. We then augment this Airbnb data with public data sources, such as OpenStreetMap.
CSV data is available instantly for pre-loaded locations, or you can request data for almost every town or city anywhere in the world.
There are some limitations of the data. All hotel listings on Airbnb are excluded. The web scraper is designed to failover, and will eventually skip API calls that result in an Airbnb server error. This can cause missing lisings in a datasets; this typically affects about 1 in 5000 listings. Pricing data is obtained through two separate streams, one weekly and one monthly. Occasionally listings are not available at the time of pricing data collection, due to being removed by the host.
How can I use the data?
Doorstep Analytics provides some location data for free. Other datasets are limited to 6,000 listings. If you purchase data, this helps with the web scraper running costs.
When you purchase data, you will have unlimited email support for any additional queries you may have. You are free to use paid datasets for any purpose, without attribution, including commercial use.
The free data provided on report pages and in CSV files, such as listing counts and graphs, is available under a Creative Commons Attribution (CC BY-SA 4.0) license, and can be used for any purpose, including commercial use, with attribution.
Contact
If you have questions, require in depth analysis, or would like to ask about historic datasets, please get in touch.
Doorstep Analytics is currently run as an individual non-profit project based in the UK by data engineer Simon Salamian. Full contact details are provided in the terms and conditions.
