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Data Marketplace · Property & travel

Zillow Property Listings Dataset

Track public Zillow property listings with property identity, asking price, attributes, location, listing state, and change history.

Request Zillow sampleView fields
  • Records Property · Listing episode · Asking price
  • Source Zillow
  • Formats JSON · CSV · Parquet
Public Zillow listings become property and listing-episode records with asking price, attributes, location, state, and change history

Schema and fields

Build on Zillow records with context attached.

property_idstring

Source property identity

listing_urlurl

Public listing URL

addressobject

Property location

pricedecimal

Observed asking value

property_typestring

Displayed property type

bedroomsnumber

Displayed bedroom count

listing_statusstring

Observed listing state

captured_attimestamp

Collection time

Freshness and delivery

Keep Zillow data aligned with your analysis cycle.

Use repeat observations to preserve listing episodes, asking-price changes, and state transitions rather than overwriting the latest value.

SnapshotStart from a dated baselineSelected scope and collection window
RefreshReceive recurring updatesCadence and change behavior
FormatUse JSON, CSV, or ParquetSchema, partitioning, and manifest
ValidationRun repeatable checksCounts, fields, missing states, and version

Zillow applications

Put Zillow records to work.

01

Listing inventory research

Compare observed inventory by area, property type, attributes, and listing state.

02

Asking-price analysis

Track displayed asking values and changes with the property and capture context preserved.

03

Property-market monitoring

Study listing appearance, persistence, and no-longer-observed states across repeat deliveries.

From sample to production

Test Zillow Property Listings records in your data stack.

  1. 01

    Choose the useful scope

    Select the entities, markets, fields, dates, and business output the collection should support.

  2. 02

    Run a sample through your stack

    Check identifiers, fields, joins, missing states, and source context with your own queries or models.

  3. 03

    Set the delivery pattern

    Choose the snapshot or recurring schedule, file format, partitions, manifest, and destination.

Zillow dataset FAQ

Plan the right Zillow Property Listings collection.

What does the Zillow Property Listings Dataset include?

Track public Zillow property listings with property identity, asking price, attributes, location, listing state, and change history.

What can I build with Zillow data?

  • Listing inventory research

  • Asking-price analysis

  • Property-market monitoring

How can the Zillow dataset stay current?

Use repeat observations to preserve listing episodes, asking-price changes, and state transitions rather than overwriting the latest value.

When should I use the Zillow API instead?

Use the on-demand API when your application chooses individual requests and timing. Choose this dataset for a prepared bulk snapshot or recurring file delivery.

Continue the data journey

Connect Zillow data to the wider use case.

Start with real records

Request a Zillow dataset sample.

Share the sources, fields, markets, and dates you need. Review a sample before choosing delivery.

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