Wikipedia is a widely known on-line encyclopedia used by people all over the world. People leave digital traces of their interactions with Wikipedia in several forms, such as contributed content to the articles, the history of editions of articles (when and what type of editions), discussions (each article has a discussion page) and the history of access to the articles. There has been previous work on the assessment of the potential use of these digital traces for the production of relevant statistics. The research presented in this paper builds on those previous attempts and consists of the use of Wikipedia page views data for the temporal disaggregation of tourism indicators. These indicators are available at Eurostat in tourism statistics broken down by NUTS 2 region at annual level and at monthly level for the whole country. There is a policy need for having these indicators broken down simultaneously in space (NUTS 2) and in time (monthly), in order to obtain values at monthly level for each NUTS 2 region. This spatio-temporal disaggregation could be done simply assuming independence between space and time; however, that is not a reasonable assumption as regions tend to have different tourism profiles. One way to do a more accurate spatio-temporal disaggregation of tourism indicators is to use an auxiliary variable which captures these different temporal profiles between regions. Data on the consultation of Wikipedia articles related to tourism points of interest (e.g. monuments, cultural sites) by tourists when planning their trips has the potential to capture the differing temporal profiles of the various regions. The aim of the research is to synthesise the relevant signal in Wikipedia page views data into one (or a few) indicator(s) and then use it (them) to perform the spatio-temporal disaggregation of tourism indicators.