Building a Real Estate Knowledge Graph - Scraped Entities, Relations, and Events
· 17 min read
Real estate is inherently information‑dense: each property listing, zoning record, mortgage filing, or rental transaction embeds dozens of entities (people, places, organizations), relationships (ownership, financing, management), and events (sale, lease, foreclosure, renovation). Yet, most of this data is siloed in heterogeneous web pages, PDFs, portals, and APIs. A real estate knowledge graph (KG) aims to unify these signals into a structured, queryable representation that can support search, valuation, underwriting, risk analysis, and market intelligence.