Answer:

Raw scraped property data often contains duplicates, missing fields, inconsistent formats, and outdated listings. Cleaning involves validation, normalization, and merging of records into unified schemas. Services such as APISCRAPY apply automated cleaning pipelines that standardize locations, prices, and property attributes. This produces analysis-ready datasets with improved accuracy.