Description: How a public-health team used store location data scraping for geocoded Kroger and competitor grocery locations to map US food deserts for GIS analysis. This case study demonstrates how automated data collection captured store addresses, coordinates, operating details, and location attributes to build accurate geospatial datasets. Structured data supported GIS mapping, accessibility analysis, public-health research, and regional planning, enabling researchers to identify underserved communities, evaluate food access, and make informed, data-driven policy decisions.
Category: Technology
Tag: #StoreLocationDataScraping, #Krogerandcompetitorgrocerylocationstomap, #grocerystorelocationdatasetviawebscraping, #storelocationdatascrapingforKroger,