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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
Dataset preview · zillow property listingsReady
Observation 01

An illustrative view of how property, listing episode, as…

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Field 01
An illustrative view of how property, listing episode, as…
{
  "property_id": "illustrative-z-101",
  "address": {
    "city": "Denver",
    "region": "CO"
  },
  "price": 625000,
  "property_type": "House",
  "bedrooms": 3,
  "listing_status": "for_sale",
  "captured_at": "2026-08-07T14:00:00Z"
}
An illustrative view of how property, listing episode, asking price and collection context arrive together.

Schema and fields

Build on Zillow records with context attached.

Start with property, listing episode, asking price. Source identity, collection time, and field meaning stay connected so records can move into analysis without losing their context.

property_id string

Source property identity

listing_url url

Public listing URL

address object

Property location

price decimal

Observed asking value

property_type string

Displayed property type

bedrooms number

Displayed bedroom count

listing_status string

Observed listing state

captured_at timestamp

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.

Snapshot Start from a dated baseline Selected scope and collection window

Refresh Receive recurring updates Cadence and change behavior

Format Use JSON, CSV, or Parquet Schema, partitioning, and manifest

Validation Run repeatable checks Counts, fields, missing states, and version

Zillow applications

Put Zillow records to work.

Use source-linked, time-stamped records for listing inventory research, plus asking-price analysis. Each application starts from the same documented fields and collection context.

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.

Start with representative rows, run the joins and calculations that matter, and shape delivery around the system that will consume the data.

  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. Core records include property, listing episode, asking price, property attributes, listing event.

What can I build with Zillow data?

Common applications include listing inventory research, asking-price analysis, property-market monitoring. Start with the fields and time window required by the business output.

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.

Compare the adjacent dataset, open the source API, or continue into the relevant data, industry, and solution pages.

Start with real records

Request a Zillow dataset sample.

Tell us which property and listing episode data you need, plus the markets, fields, dates, and destination. We will map the collection to that requirement.

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