Addressing missing CoreLogic bedroom & bathroom data:  Scraping method using Google and Bing

For our analysis of the Broadband Infrastructure Program (BIP), we consider the following property information: location, sale information, lot size, building size, age, number of bedrooms, and number of bathrooms.
Property location is described by parcel-level centroid geographic coordinates.
Sale information includes the latest sale amount in dollars and the date when the sale contract was signed, dropping any sales prior to 2005.
The size of a residence is represented by the size of the building in sq. ft. and the size of the living area in sq. ft. The lot size was also measured in sq. ft.
Construction year of the original building or the adjusted year when the building was last improved or remodeled was used to calculate the age of the property.
Used Fannie Mae and Freddie Mac Uniform Appraisal Dataset Specification to calculate the number of baths.

Kattampallil N, Zhou S, and SIWE GL,Wang X. (2024) Addressing missing CoreLogic bedroom & bathroom data: Scraping method using Google and Bing. Social and Decision Analytics Division, Biocomplexity Institute, University of Virginia. https://doi.org/10.18130/h7e8-ka08