The main tourism datasets from datos.gob.es

Who hasn't ever used an app to plan a romantic getaway, a weekend with friends or a family holiday? More and more digital platforms are emerging to help us calculate the best route, find the cheapest petrol station or make recommendations about hotels and restaurants according to our tastes and needs. Many of them have a common denominator, and that is that their operation is based on the use of data coming, for the most part, from public administrations.

It is becoming increasingly easy to find tourism-related data that have been published openly by various public bodies. Tourism is one of the sectors that generates the most revenue in Spain year after year. Therefore, it is not surprising that many organisations choose to open tourism data in exchange for attracting a greater number of visitors to the different areas of our country.

Below, we take a look at some of the datasets on tourism that you can find in the National Catalogue of Open Data in order to reuse them to develop new applications or services that offer improvements in this field.

These are the types of data on tourism that you can find in datos.gob.es

In our portal you can access a wide catalogue of data that is classified by different sectors. The Tourism category currently has 2,600 datasets of different types, including statistics, financial aid, points of interest, accommodation prices, etc.

Of all these datasets, here are some of the most important ones together with the format in which you can consult them:

At the state level

• National Statistics Institute (Ministry of Economic Affairs and Digital Transformation). Average stay, by type of accommodation by Autonomous Communities and Autonomous Cities. CSV, XLSX, XLS, HTML, JSON, PC-Axis.
• State Meteorological Agency (AEMET). Forecast by municipality, 7 days. XML.
• Geological and Mining Institute of Spain (Ministry of Science and Innovation). Spanish Inventory of Places of Geological Interest (IELIG). HTML, JSON, KMZ, XML.
• National Statistics Institute (Ministry of Economic Affairs and Digital Transformation). Rural Tourism Accommodation Price Index (RTAPI): national general index and by tariffs. CSV, HTML, JSON, PC-Axis, CSV
• National Statistics Institute (Ministry of Economic Affairs and Digital Transformation). Holiday Dwellings Price Index (HDPI): national general index and by tariffs. CSV, HTML, JSON, PC-Axis, CSV
• National Statistical Institute (Ministry of Economic Affairs and Digital Transformation). Tourist Campsite Price Index (TCPI): national general index and by tariffs. CSV, HTML, JSON, PC-Axis

At the level of the Autonomous Regions

• Regional Government of Andalusia. Andalusia Tourism Situation Survey. CSV, HTML
• Autonomous Community of the Basque Country. Tourist destinations in the Basque Country: towns, counties, routes, walks and experiences. RSS, API, XLSX, GeoJSON, XML, JSON, KML.
• Autonomous Community of Navarre. Signposting Camino Santiago. CSV, HTML, JSON, ODS, TSV, XLSX, XML.
• Autonomous Community of the Canary Islands. Active Tourism Activities registered in the General Tourism Register. XLS, CSV.
• Autonomous Community of Navarra. Ornithological tourism. CSV, HTML, JSON, ODS, TSV, XLSX, XML.
• Autonomous Community of Aragon. Footpaths of Aragon. XML, JSON, CSV, XLS.
• Cantabrian Institute of Statistics. Directory of Collective Tourist Accommodation (ALOJATUR) of the Canary Islands. JSON, XML, ZIP, CSV.

At the local level

• Valencia City Council.  Tourist monuments. CSV, GML, JSON, KML, KMZ, OCTET-STREAM, WFS, WMS.
• Lorca City Council. Itineraries of tourist routes in the city centre. KMZ.
• Almendralejo Town Hall. Restaurants and bars of Almendralejo. XML, TSV, CSV, JSON, XLSX.
• Madrid City Council. Tourist offices of Madrid. HTML, RDF-XML, RSS, XML, CSV, JSON.
• Vigo City Council. Urban Tourism. CSV, JSON, KML, ZIP, XLS, CSV.

Some examples of re-use of tourism-related data

As we indicated at the beginning of this article, the opening up of data by public administrations facilitates the creation of applications and platforms that, by reusing this information, offer a quality service to citizens, improving the experience of travellers, for example, by providing updated information of interest. This is the case of Playas de Mallorca, which informs its users about the state of the island's beaches in real time, or Castilla y León Gurú, a tourist assistant for Telegram, with information about restaurants, monuments, tourist offices, etc. We can also find applications that make saving money easier (Geogasolineras) or that help people with disabilities to get around the destination (Ruta Accesible - How to get there in a wheelchair).

Public administrations can also take advantage of this information to get to know tourists better. For example, Madrid en Bici, thanks to the data provided by the city's portal, is able to draw up an X-ray of the real use of bicycles in the capital. This makes it possible to make decisions related to this service.

In our impact section, in addition to applications, you can also find numerous companies related to the tourism sector that use public data to offer and improve their services. This is the case of Smartvel or Bloowatch.

Do you know of any company that uses tourism data or an application based on it? Then don't hesitate to leave us a comment with all the information or send us an email to contacto@datos.gob.es. We will be happy to read it!