This listing provides an aggregated view of hotel prices, per arrival night, per zip code.
To understand how travellers move across the globe, we record and analyze data from 2+ million hotels and alternative accommodations in 190 countries. From local and international travel trends to city specific hotel prices, our data provides valuable insights into the tourism industry and consumer travel behaviour.
– zip code
– arrival_date – YYYYMMDD
– median price of a hotel night in eurocents.
Hotel prices can differ based on how far in advance you book your hotel. For the arrival night prices in this dataset we took a median price selected out of all prices trivago received in the 60 days prior to the arrival date.
This dataset ranges from January 1st, 2019 to December 31st, 2019.
For dates in the future we use the price data we get for the arrival date in a window up to 60 days before the date of the latest revision of the dataset.
– We only provide a median price for those zip codes for which we have 10+ data points.
– The dataset does not take currency fluctuations into account.
This dataset is a trial product. Datasets for other cities, regions, countries and time periods are available on the platform. If you can’t find it on the platform (yet), please reach out to us. We would love to learn how we can assist you. Please contact us a data.services@trivago.com.
We would love to hear from you what you think about this dataset. What did you create with it? What else would be nice to know about hotels? We are happy to have a conversation, please get in touch at data.services@trivago.com.
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Geographical data set, showing information on the number of samples per tile or provided point of interest.
This listing consists of a dataset containing the complete Electronic Medical Records related to atopy and related disease conditions over 1000 patients within the United States. The data is simulated based on clinical knowledge and census demographics.
| Heapery Attribution License | Heapery-Private |
| Category | Geospatial |
| Data Schema | |
| Support Contact Email Address | support@heapery.com |
| Data Format | |
| Version number | |
| Language | English |
| Data Size | |
| Last Updated Date | 8/11/2020 |
| Refund Policy | Dataset is free and provided as-is |
