I made a Python script, based on Selenium, to scrap geocoded data of a real state website, generating a layer of more than 6,000 points. Then I aggregated the data in a hexagonal regular grid of polygons to map of the median prices of the built square meter in the city of Montevideo, Uruguay.

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

Click here to go to the web-map