Zillow Dataset: Property Listings & Real Estate Data

Decision-ready property data
Local market context over time
Local market context over time

Turn changing Zillow listings into faster investment, pricing, and market decisions with a Zillow dataset built around the fields your team needs.

Discuss your needs

Scalable Market coverage

Start with a Zillow dataset for one market and expand to new areas, property types, and update schedules as your real estate dataset needs grow.

Time-Stamped listing history

Update Zillow listings data on prices, rentals, property status, and local activity at an agreed frequency, so your team can compare current Zillow market data over time.

Managed Source updates

DataOx updates the agreed collection logic when Zillow changes, so your Zillow dataset keeps running without in-house maintenance.

The Value of a Zillow Dataset Is Its Market Context

Individual Zillow listings data shows the state of a property at one point in time. But a Zillow dataset that includes prices, publication dates, status changes, and update history becomes a real estate dataset that shows how the market is moving, not just what is available today. This Zillow market data does more than list available properties. It helps identify liquid and less liquid real estate.

Property information

Property type
Bedrooms and bathrooms
Living area and lot size
Year built
Property features and description

Location

Street address
City, state, and ZIP code
Neighborhood
Geographic coordinates
School or area information

Pricing

Current listing price
Rental price, where applicable
Price per square foot
Price change history
Zestimate, when available

Listing activity

Listing status
Date listed
Days on Zillow
Status changes
Relisting history

Metadata

Listing ID
Listing URL
Data collection date
Listing type
Source and update timestamps

Agent and brokerage information

Agent name
Brokerage name
Agent profile URL
Active listings, where available
Listing contact details, where available

use cases

Is This Price Drop a Real Opportunity?

An investor sees a property listed below the price of similar properties and saves it to their favorites to review later. But the listing history on Zillow shows more: the property stayed on the market for months, was listed again several times, and its price was gradually reduced. DataOx collects the property’s price, status, listing date, and history in one dataset. This helps the team see not only the discount, but also how the property has performed on the market.

Zillow market data for property, rental, and pricing analysis

Can This Rental Actually Earn That Rate?

Many apartments in the area are listed at high prices. But some high-priced apartments remain in active listings for weeks, while similar options appear nearby at lower prices. This makes it difficult to decide: is the market really willing to pay the stated price, or is it too high? DataOx collects data on prices, statuses, and listing dates agreed with the team. This data shows which apartments disappear from the market quickly and which remain in active listings for a long time. It helps assess whether the stated price reflects real demand.

Did Competitors Change Their Prices?

A developer reviews prices once a month. Meanwhile, new listings appear, competitors cut prices, and similar properties move to pending. DataOx collects agreed Zillow market data on a set schedule, identifies new listings and price or status changes, and sends the updates in the team’s preferred format. Instead of checking pages manually, the team receives a clear view of what changed.

Is Your Portfolio Still Aligned With the Market?

A quarterly report may show stable average values. Yet some ZIP codes can have more price cuts and properties that remain listed longer. DataOx combines current and historical Zillow listings data into one Zillow dataset, so risk teams can compare their portfolio with movement in a specific market segment, not only with an overall average.

Does Your Product Show Listing History?

A user sees an address, square footage, and the current price. They can’t see whether the property was listed yesterday, removed a month ago, or reduced several times. DataOx structures agreed fields, identifiers, and update rules, turning a Zillow data API or other approved sources into a consistent real estate dataset for a product, analytics tool, or internal database.

Businesses we serve

Small agencies Medium-sized companies Enterprises

Delivery schedule

Real-time Daily Weekly Monthly Custom On demand

Keep Your Research Context

DataOx delivers fresh, structured Indeed data at scale. Just tell us what you need.

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Data Delivery Formats

Zillow Data for Your Workflow

DataOx delivers your Zillow dataset in a format and structure that fit your team’s existing tools and workflows.

CSV

Excel (XLSX) / Google Sheets

Excel

JSON

API Integration

API

Database Direct

Database

Custom

Python web scraping – Web scraping with Python for pricing and inventor

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Let’s talk

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Let’s talk

Why choose DataOx

Data you can rely on

Custom Solutions

DataOx builds the process and dataset around your task instead of making you adapt to a ready-made product.

Change Management

When sources, fields, or your requirements change, DataOx updates the process without interrupting operations.

Cost Efficiency

You pay for the data volume and work you need, not for features you do not use.

Security

Project data and requirements are protected by NDAs, restricted access, and agreed working rules.

Unlock market insights with our Zillow dataset

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Web scraping services for enterprise data extraction and custom scraping solutions with real-time delivery

what our clients say about us

I’ve worked with Vladislav and DataOx twice now and have been impressed both times. They don’t just do everything they committed to do — on time and on budget — but they go above and beyond. On this second project, they showed initiative and added something they suspected I would want. They were right. I cannot recommend him and them any more enthusiastically. I’m a big fan.

jeff leitner

March 13, 2026

We worked with the DataOx team on a complex internal project that involved building a custom software solution with Slack Bot integration, sophisticated server-side logic, and automated API workflows. The system needed to fetch, process, and store data in an intermediate database, and—only if specific conditions were met—push that data through additional APIs to our target software. It was no small task.
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What really stood out was the professionalism: we had a dedicated, experienced project manager who kept everything aligned and moving smoothly. DataOx truly listens, understands your needs, and delivers high-quality work with precision.

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March 13, 2026

We’re a UK based operation, and have worked on a couple of projects with DataOX over the last two years. I’ve been impressed with every project, as they’ve been delivered to the spec I’ve requested, alongside all the changes I asked for along the way.

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We’ll continue to work with DataOX on projects in the future, and I’d highly recommend them to anybody reading this!

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March 13, 2026

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March 13, 2026

High Quality, fast data scraping from the team at DataOx. Very communicative and always proactive in understanding requirements before starting the work. Used multiple times, and will be using in the future!

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March 13, 2026

Both the quality and the speed of delivery were awesome, and the communication along the way with our project manager and sales leader was perfect. They were both good at eliminating ambiguity in our requirements which resulted in a delivery we are very happy with.

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March 13, 2026

I worked with DataOx on a data scraping. everything was done on time and with high quality. Vladislav and his team showed a high level of professionalism and attention to detail. I recommend DataOx to anyone looking for reliable specialists in web scraping!

olim rakhmatov

March 13, 2026

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March 13, 2026

FAQ: common questions about **DataOx Zillow datasets

How Can You Tell Whether a Price Drop Is an Opportunity or a Warning Sign?

A lower price may reflect a motivated seller, but it can also point to an illiquid or uncompetitive property. The current price alone does not show whether the listing has been active for months, relisted, or reduced several times. A Zillow dataset with price history, statuses, and listing dates provides that context.

Why Do You Need Listing History If You Already Have the Current Price?

One price shows the property today. Zillow listings data with listing dates, days on market, status changes, and previous prices shows how the property has performed over time.

How Can You Tell Whether a Rental Asking Price Is Realistic?

The rent shown in a listing is what the owner asks for, not proof that a tenant will accept it. A unit may stay available for weeks, be relisted, or have its asking price reduced while similar homes are offered at different rates. Zillow market data lets teams compare asking rents with listing activity, price changes, availability, and similar properties in the same area.

How Can You See Changes in a Selected Area Faster?

New listings, price reductions, and status changes are easy to miss when a team checks pages manually. DataOx can update an agreed Zillow dataset on a schedule and flag the records that changed.

How Can You Compare Competing Properties Without Dozens of Tabs?

DataOx brings agreed Zillow listings data for selected areas, property types, prices, sizes, and statuses into one structured file or database. Your team gets a comparable real estate dataset, not isolated property pages.

How Can You See Where a Market Is Becoming Less Liquid?

Average city prices can remain stable while more properties in certain ZIP codes stay listed longer or receive price cuts. Historical Zillow market data helps identify these shifts by location, property type, or price segment.

Can I get a real-time recruitment data feed from Indeed?

Yes. DataOx sets up continuous data pipelines that deliver fresh job postings as they appear on Indeed. Update frequency is configured based on your use case and can be as often as every few seconds.

Can You Use Zillow Data in Your Product or Analytics?

Yes. Even when a team uses a Zillow data API, separate responses still need to be matched across updates, stored as history, and standardized. DataOx prepares a real estate dataset in the agreed format for an internal database, analytics, or a PropTech product.