A Zillow dataset sample of over 1000 property listings. Dataset was extracted using the Bright Data API.
zpid
: A unique identifier for the property listing on Zillowurl
: The URL or link to the property listingcity
: The city in which the property is locatedstate
: The state in which the property is locatedstreetAddress
: The street address of the propertyzipcode
: The ZIP code of the propertyprice
: The price of the propertyhomeStatus
: The status of the home (e.g., for sale, sold)homeType
: The type of the homelongitude
: The longitude coordinate of the propertylatitude
: The latitude coordinate of the propertyphotoCount
: The number of photos associated with the property listingcurrency
: The currency in which the price and estimates are listedlivingArea
: The total living area of the propertylotSize
: The size of the lotpropertyTaxRate
: The property tax rate for the propertyrentZestimate
: The Zillow estimate of the property's rental valuedescription
: A textual description or details about the propertytourViewCount
: The count of views for property toursstreetViewMetadataUrlMediaWallLatLong
: URL for street view metadata using latitude and longitudeisVerifiedClaimedByCurrentSignedInUser
: Indicates whether the claimed listing is verified by the current signed-in user (True/False)isZillowOwned
: Indicates whether Zillow owns the property (True/False)
And a lot more.
This is a sample subset which is derived from the "Zillow Property Listings (public data)" dataset which includes more than 134,060,000 companies.
Available dataset file formats: JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.
Dataset delivery type options: Email, API download, Webhook, Amazon S3, Google Cloud storage, Google Cloud PubSub, Microsoft Azure, Snowflake, SFTP.
Update frequency: Once, Daily, Weekly, Monthly, Quarterly, or Custom basis.
Data enrichment available as an addition to the data points extracted: Based on request.
Leverage Zillow datasets to forecast housing demand and sales trends. Identify market cycles, and pinpoint the best opportunities by analyzing periods of lowest and peak prices.
Monitor and compare property prices on Zillow with localized real estate data. Analyze amenities by location to gain insights into homebuyer expectations and market conditions.
Identify properties with the highest rental yields and analyze market dynamics using Zillow datasets. Uncover rental cycles, vacancy rates, and other key metrics to make informed investment decisions.
The Bright Initiative offers access to Bright Data's Web Scraper APIs and ready-to-use datasets to leading academic faculties and researchers, NGOs and NPOs promoting various environmental and social causes. You can submit an application here.