Yes. The data and graphs displayed on this website are provided freely under a Creative Commons Attribution (CC BY) license. You may reproduce and modify the data and graphs for any purposes with attribution. Resale of data from Doorstep Analytics is not permitted.

Doorstep Analytics uses a combination of HTML and API web scraping to obtain data. While human verification checks are done from time to time, it is otherwise assumed all property listings provided by Airbnb are accurate and genuine.

Machine learning methods are used to fill in gaps in neighbourhood locations.

Due to dynamic pricing, the price per night varies depending on how long the guest is staying, the day of the week and time of year, and for some listings a minimum number of nights' stay is required.

In order to maintain consistency between listings, we take price per night for two time periods each week. These are the weekday prices (Monday to Thursday) and weekend prices (Friday to Sunday). Prices are recorded for 2, 3, 4 5 and 6 guests for the 35 weeks following the scrape date. If the listing is not available during these time windows, no price is recorded.

Use the Request page to request raw data for a particular location, or data for a particular area of interest (eg: reviews). This will be emailed to you upon completion. While quick requests are typically provided for free, there may be a charge for large datasets or high workload analytics requests.

Yes, the underlying Python code is available in the GitHub repository. Note this is the working code linked to private Google Cloud Platform accounts, it will require some modification to run locally.

Doorstep Analytics is based in the UK and is not currently a registered company. It is run as a freelance project. The contact and address is Simon Salamian, 11 Peacock St, London, SE17 3LF