In Spain has been created a platform, Datahippo, whose aim is to “offer data from different tourist rental platforms”, such as Airbnb or HomeAway, which the platform itself obtains and collects in databases, through web-scrapping techniques, and whose function is to “share them with the community, with the aim of facilitating analysis and debate on this phenomenon”.
As the members of the platform say at their website, they obtain the data through web scrapping techniques, through the development of programs that’visit’ each website (such as Google and others) and store the information in Datahippo’s database.
This collection of information and big data is a very important innovation, as through a quantitative analysis with a very high sample of subjects, it is possible to observe, analyze and determine what correlations and effects have the Airbnb or HomeAway tourist rental platforms: in what percentage do the users of these platforms do “home-sharing” or professional rental? how does it work the price of the house? Do they lead to a change from conventional rental offers to tourist rentals?
With these data available, the challenge now is to group them together, link them to other indicators, establish causal relationships (or not) and provide conclusions on their social and economic impact.
More information and data from this platform, here.