Online housing search dataset: Information flows of real estate platform users

Joep Steegmans*, Jonathan de Bruin

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

This data article describes user-generated data of Funda.nl, the largest online housing market website of the Netherlands. The data contain the inflow and outflow of hits (mouse clicks, opening of webpages, etc.) at the municipality level. The municipality of the user defines the origin and the municipality of the property that is viewed defines the destination. The data capture real behavior of the platform users. The flow data are based on 1.1 billion hits that are made by the users of the website in the first six months of 2018. The underlying data are collected by Google Analytics, the web analytics tool of Google. Funda utilizes the data for platform stability, security, product development, etc. The proprietary data of Funda are used to generate the information flows between municipalities. In the full sample we have 148,216 information flows between municipalities in the Netherlands, among which 313 zero flows. The data include subsamples for different types of platform users as user search intentions range from serious to fully recreational. The data enable researchers to analyze housing search behavior from a novel perspective. The data are, for instance, relevant for housing market researchers, digital economists, and economic geographers.

Original languageEnglish
Article number107327
Pages (from-to)1-9
JournalData in Brief
Volume38
DOIs
Publication statusPublished - Oct 2021

Keywords

  • Gravity modeling
  • Housing market
  • Online search
  • Real estate platform
  • User-generated data

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