LAUSR

Tourism is an extremely competitive industry where effective destination management is necessary to compete. One of the main destination management stakeholders is the hotel industry. Since the advent of the Internet websites that facilitate the sharing economy, the hotel industry has had to compete with an alternative accommodation market. This alternative market is difficult to monitor as there is no official data. Current research works on developing methods for calculating tourism metrics for a destination based on digital footprint with the objective of offering figures to complement official statistics. The objective of our research is to develop a method to monitor the alternative accommodation market based on data collected from Airbnb. This paper reports the results of the first step: the design of a sampling method for data scraping from this website that provides a representative sample of the accommodation offer of the Basque Country distributed through it and its prices. The results show that the length-of-stay (LOS) parameter of the queries to the website is key to obtaining a representative sample of the accommodation offered through this channel. A sampling method based on the representative values of LOS inferred from a data sample is proposed.