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| beds | city | unit | zpid | baths | price | state |
|---|---|---|---|---|---|---|
| 5 | Morris | null | 464501245 | 5 | 829900 | AL |
| 5 | Birmingham | null | 989669 | 3 | 565000 | AL |
| 3 | Foley | null | 72759263 | 2 | 342500 | AL |
| 2 | Scottsboro | null | 299379708 | 2 | 215000 | AL |
| 3 | Spanish Fort | null | 72728160 | 2 | 399000 | AL |
| 2 | Orange Beach | # A2 | 452774471 | 2 | 319500 | AL |
| 3 | Cullman | null | 109234522 | 2 | 250000 | AL |
| 3 | Athens | null | 305438459 | 3 | 145000 | AL |
| 8 | Mountain Brook | null | 981983 | 10 | 3775000 | AL |
| 3 | Eastaboga | null | 109282629 | 2 | 190000 | AL |
| 4 | Gulf Shores | null | 339939067 | 3 | 485000 | AL |
| 3 | Courtland | null | 109350672 | 1 | 349900 | AL |
A comprehensive, structured dataset of residential property listings covering every U.S. state, sourced from Zillow listing data. Each record captures pricing, valuation, physical attributes, location coordinates, listing status, and media availability — making it ready for market analysis, price prediction models, and investment research without heavy cleaning.
What's inside (45+ fields):
Location — full address, street, city, state, ZIP code, unit, latitude/longitude, state ID Pricing & valuation — list price, price label, price change amount, price reduction flag, date of price change, Zestimate, Rent Zestimate, tax assessed value Property attributes — bedrooms, bathrooms, living area (sq ft), lot area value and unit, home type (single-family, condo, townhouse, multi-family, land) Listing intelligence — home status, status text, marketing status, listing sub-type, days on Zillow, time on Zillow Agent & broker — broker name, agent name, detail URL Media & flags — primary image, has image, 3D model, video walkthrough, showcase listing, Zillow-owned, new construction, open house Record tracking — created_at, updated_at timestamps
Who this is for:
Real estate investors screening markets, data analysts and BI professionals, machine learning practitioners building home-price prediction models, proptech developers, market researchers, and students working on housing economics projects.
Example use cases:
Compare median list price vs. Zestimate to spot over- and under-priced markets Calculate rent-to-price ratios by ZIP code for cash-flow analysis Track price reductions and days-on-market as demand indicators Map property density and price heat by latitude/longitude Analyze new construction share by state Benchmark tax assessed value against market price