Dataset MarketplaceReal-estateZillow price history

Zillow price history

Use our Zillow Price History dataset to track property value trends, including price changes, rental and selling status, and price per square foot. Popular use cases include real estate market analysis, property valuation, and trend forecasting. Use it for enrichment, market research, and lead generation — sample the fields free, then pull the records you need on demand.
zillow.com Public web data Monthly refresh
Data-fields
13
Total records
161.24M
Price
up to $0.005/record
Min order
$350
Data sample
Description
Statistics
Dictionary
Related
Data sample
urldatezpideventpricedb_sourcetimestampposting_is_rental
https://www.zillow.com/homedetails/2605-W-Victory-Ln-Milwaukee-WI-53202022-04-22T00:00:00.000Z40418932Listing removed17845984601312026-07-21true
https://www.zillow.com/homedetails/2605-W-Victory-Ln-Milwaukee-WI-53202023-09-30T00:00:00.000Z40418932Listing removed17845984601312026-07-21true
https://www.zillow.com/homedetails/2605-W-Victory-Ln-Milwaukee-WI-53202024-04-24T00:00:00.000Z40418932Listing removed17845984601312026-07-21true
https://www.zillow.com/homedetails/2605-W-Victory-Ln-Milwaukee-WI-53202021-02-25T00:00:00.000Z40418932Listing removed17845984601312026-07-21true
https://www.zillow.com/homedetails/2605-W-Victory-Ln-Milwaukee-WI-53202003-12-23T00:00:00.000Z40418932Sold12000017845984601312026-07-21false
https://www.zillow.com/homedetails/2605-W-Victory-Ln-Milwaukee-WI-53202019-11-14T00:00:00.000Z40418932Listing removed67517845984601312026-07-21true
https://www.zillow.com/homedetails/2605-W-Victory-Ln-Milwaukee-WI-53202017-02-17T00:00:00.000Z40418932Listed for rent60017845984601312026-07-21true
https://www.zillow.com/homedetails/2605-W-Victory-Ln-Milwaukee-WI-53202018-04-29T00:00:00.000Z40418932Listed for rent62517845984601312026-07-21true
https://www.zillow.com/homedetails/2605-W-Victory-Ln-Milwaukee-WI-53202017-03-19T00:00:00.000Z40418932Listing removed60017845984601312026-07-21true
https://www.zillow.com/homedetails/2605-W-Victory-Ln-Milwaukee-WI-53202019-04-15T00:00:00.000Z40418932Listing removed62517845984601312026-07-21true
https://www.zillow.com/homedetails/2605-W-Victory-Ln-Milwaukee-WI-53202020-01-19T00:00:00.000Z40418932Listed for rent67517845984601312026-07-21true
https://www.zillow.com/homedetails/2605-W-Victory-Ln-Milwaukee-WI-53202026-04-23T00:00:00.000Z40418932Listed for rent97517845984601312026-07-21true
Description
The Zillow price history dataset standardizes zillow.com data into analysis-ready fields: url, zpid, date, event, posting_is_rental, price, price_change_rate, price_per_squarefoot, and more. Use our Zillow Price History dataset to track property value trends, including price changes, rental and selling status, and price per square foot. Popular use cases include real estate market analysis, property valuation, and trend forecasting. Common uses include enrichment, lead generation, market and competitor research, and feeding downstream AI models. 161.24M records available, refreshed monthly, from $0.005 per record — minimum order $350. Preview a sample free before you buy.
Record updates over time
33,054
Last 7 days
21,485
7-30 days
9,916
30-90 days
2,644
90+ days
Data dictionary
Column nameDescriptionTypeFill rate
url URL of the property Url
100%
zpid A unique identifier for the property listing on Zillow Text
100%
date The date of the history data point Date
100%
event Event type of the price history (e.g., listed for sale, sold, price change, pending sale). Text
100%
posting_is_rental Does the event related to rental Boolean
100%
price The price of the history data point Number
92.35%
price_change_rate Change rate of price history in percentage Number
100%
price_per_squarefoot The price per square foot of the history data point Number
85.58%
show_county_link Column indicates presence of county link on webpage. Boolean field with all values being NULL in the sample. Boolean
0.02%
source The Source of the history data point Text
100%
source_image The URL of the image Text
17.27%
time Timestamp of the history data point Date
0.02%
timestamp Date
%