Web scraping real-estate geocoded data

Web scraping real-estate geocoded data-image

Techstack

  • Python, Selenium

Tools

  • QGIS, Jupyter Notebooks

Extracting data from the web

I made a Python script, based on Selenium, to scrape geocoded data of a real-estate website, generating a layer of more than six thousand points. Then I aggregated the data in a hexagonal grid of polygons to map the median prices of built-square-meters in the city of Montevideo, Uruguay.

The combination of web scraping with geospatial data-analysis and visualization is a very powerful way to analyze spatial processes and deliver insights in urban contexts.

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