Zillow Data Scraping for US Residential Property

Fields we extract from Zillow

A Zillow extraction is normally specified as one row per zpid per crawl date, with the history tables delivered as child files so nothing is flattened away. Typical fields:

• Identity: zpid, homedetails URL, street address, unit, city, state, ZIP, county, neighborhood, latitude and longitude, parcel number, MLS number.
• Status: for sale, for rent, sold, off market, pending, contingent, coming soon, foreclosure, pre-foreclosure and auction, plus new construction and for sale by owner flags.
• Price: asking or rent price in USD, price per sqft, price cut amount and date, sold price and sold date, and the price the home last sold for when it is sitting off market.
• Zillow estimates: Zestimate, Zestimate range low and high, Rent Zestimate, and the estimated monthly cost breakdown Zillow shows for a home.
• Physical: beds, baths and half baths, finished sqft, lot size in sqft or acres, year built, home type, stories, garage and parking, heating and cooling, appliances, basement, HOA fee and frequency.
• Rental terms: monthly rent by unit or floor plan, deposit, application fee, lease length, date available, pets and utilities policy, and building amenities where the page covers a whole building.
• History tables: price history rows with date, event type, price and price per sqft, and tax history rows with year, property tax paid and assessed value.
• Attribution: listing brokerage, listing agent name, license number where shown, co-listing agent, days on Zillow, views and saves counters.
• Context: assigned schools with grade span, distance and rating, walk, transit and bike scores, description text, feature tags.
• Media: full photo set at original resolution, floor plans, 3D tour and video presence.

What only a repeated crawl gives you

A one time export of Zillow tells you what the market claims today. The value that clients actually keep comes from running the same address set on a schedule and diffing the snapshots, because several of Zillow's most useful signals exist only as changes between crawls:

• Price cut cadence. The size, timing and count of reductions before a home goes pending is a far better read on overpricing than the current ask.
• Days on Zillow versus real market time. A withdrawal and relist can reset the counter, so only your own history reveals a home that has been shopped for months under a fresh listing.
• Pending to sold conversion. Watching how long homes sit in pending or contingent before the sold event lands gives you a local closing timeline per county.
• Zestimate drift. The gap between Zestimate and asking price, tracked over weeks, shows which submarkets the model is chasing and which it is leading.
• Silent relists. Same zpid, new agent, new photo set, new price, no sale in between.
• Rental turnover. Rent price moves and re-appearances at the same address expose concession behavior that a single snapshot hides.

We keep the full snapshot history so these deltas are already computed when the file reaches you.