Redfin Market Data Extraction & Housing Analytics
The Redfin Data Center publishes rich macro housing metrics derived directly from MLS transactions across every major US metro area and county. For hedge funds, economic research institutes, mortgage originators, and PropTech platforms, access to structured redfin market data provides real-time visibility into housing supply shifts and price momentum. Our redfin market data scraper automates the ingestion of weekly and monthly housing metrics directly into your database.
Redfin Market Data Metrics We Extract
| Data Category | Extracted Fields & Metrics | Output Format |
|---|---|---|
| Sale & List Prices | Median Sale Price ($), Median List Price ($), Median Price/Sq Ft, Sale-to-List Ratio (%) | CSV / JSON |
| Supply & Inventory | Active Homes for Sale, New Listings Count, Months of Supply, Age of Inventory (Days) | PostgreSQL / SQL |
| Market Speed & Drops | Median Days on Market (DOM), Share of Homes with Price Drops (%), Homes Sold Above List (%) | JSON / S3 |
| Geographic Levels | National, State, MSA (Metro), County, City, ZIP Code, Neighborhood Level breakdown | Excel / BigQuery |
Key Applications of Redfin Market Data
1. Macro Real Estate Fund Modeling
Quantitative investment funds analyze weekly Redfin price drop trends and inventory velocity to forecast mortgage default risk and real estate index returns.
2. Geographic Target Selection for Buyers
Real estate wholesalers and iBuyers locate cooling markets with rising price drops and high days on market to submit targeted under-market offers.