Zillow Property Listings Scraper

Zillow Property Listings Scraper exports homes from any Zillow search or listing URL as clean, structured data: price, address, beds, baths, living area, photos, Zestimate and listing status, one row per home. Paste a Zillow search for a city, ZIP code or neighborhood, click Start, and download the results as JSON, CSV or Excel. Turn on Property details to also get the description, agent and broker phone, MLS number and price history. No Zillow account, login or cookies needed.

What data can you extract from Zillow?

Every row has up to 97 fields. The first group comes with every listing. The second group comes when Property details is on, and always for single-listing links.

Group	Fields
🏷️ Listing	Zillow ID (zpid), listing URL, status (for sale, sold, for rent, pending), days on Zillow, listing source, tagline
💲 Price	Price, price as shown, currency, sold price and date, last price change and reduction
📍 Address	Full address, street, unit, city, state, ZIP code, latitude, longitude
🏠 Home	Bedrooms, bathrooms, living area, lot size and unit, home type
📊 Zillow data	Zestimate, Rent Zestimate, tax assessed value
🖼️ Media	Main photo, all photo URLs, photo count, 3D tour and video flags
🚩 Flags	For sale by agent or owner, new construction, coming soon, pending, auction, foreclosure, bank owned, open house with start and end time
📝 Property details	Description, home highlights, agent name and phone, broker phone, MLS number and name, year built, price per sq ft, full / half / three-quarter bathrooms, parking and garage, HOA fee, property tax rate, last sold price, neighborhood, virtual tour, page views and saves, 30-year / 15-year / 5-year ARM mortgage rates, price history

Use cases

• Real estate investors build lists of homes in a market, compare asking prices with the Zestimate and tax assessed value, and spot price cuts.
• Market analysts and researchers track inventory, prices per square foot and days on market across cities and ZIP codes, or study recent sales with the Sold filter.
• PropTech teams feed Zillow listing data into valuation models, dashboards and property apps.
• Lead-gen agencies, lenders and home service businesses collect listing agents, brokerages and MLS numbers for outreach, with Property details on.
• Rental market analysts compare monthly rents and Rent Zestimates by neighborhood.
• Agents and brokers monitor competing listings, open houses and new construction in their area on a schedule.

How to scrape Zillow listings

1. Open the Zillow Property Listings Scraper on Apify and click Try for free.
2. On zillow.com, search for a city, ZIP code or neighborhood, apply any filters, and copy the URL from your browser's address bar.
3. Paste it into Zillow URLs. Add as many search URLs or single-listing links as you want, one per line.
4. Set Max results per URL, and switch on Property details if you need agent contact, MLS and price history.
5. Optionally set the Filters (status, price, bedrooms, bathrooms, home type, listed or sold within).
6. Click Start. When the run finishes, download your Zillow data as JSON, CSV or Excel, or read it through the Apify API.

Input

Field	What it does
Zillow URLs	Search URLs or links to single listings, one per line. Required.
Property details	Also collects the description, agent and broker phone, MLS record, facts, HOA, tax rate, mortgage rates and price history for each listing. Runs take longer.
Max results per URL	Stops after this many listings for each URL. Default 1,000.
Listing status	Same as URL, Sold or For rent.
Min price / Max price	Price range in USD. For rentals, the monthly rent.
Bedrooms / Bathrooms	Minimum number, for example 3+.
Home type	Houses, Townhomes, Multi-family, Condos/Co-ops, Apartments, Manufactured or Lots/Land.
Listed or sold within	From 1 day to 36 months. With Sold, the sale date.

Filters apply to every search URL, not to single-listing links. Each filter replaces the same filter in your URL; a filter left on its default keeps what your URL already has.

{
    "startUrls": ["https://www.zillow.com/austin-tx/"],
    "propertyDetails": true,
    "maxResultsPerUrl": 200,
    "beds": "3+",
    "priceMax": 600000
}

Output

Each listing is one row in the dataset. Here is a shortened row from a real run with Property details on:

{
    "zpid": "54484958",
    "url": "https://www.zillow.com/homedetails/4407-E-Coyote-Wash-Dr-Cave-Creek-AZ-85331/54484958_zpid/",
    "status": "FOR_SALE",
    "price": 675000,
    "price_formatted": "$675,000",
    "full_address": "4407 E COYOTE WASH Drive, Cave Creek, AZ 85331",
    "city": "Cave Creek",
    "state": "AZ",
    "zip_code": "85331",
    "latitude": 33.789913,
    "longitude": -111.98721,
    "bed": 4,
    "bath": 3,
    "living_area": 2132,
    "lot_area_value": 6569,
    "lot_area_unit": "sqft",
    "home_type": "SINGLE_FAMILY",
    "days_on_zillow": 5,
    "tax_assessed_value": 574500,
    "main_image": "https://photos.zillowstatic.com/fp/d403b23b91758a60dc571773fc0fe4a8-p_e.jpg",
    "photo_count": 42,
    "broker_name": "eXp Realty",
    "is_showcase_listing": true,
    "has_3d_model": true,
    "open_house_description": "Open House - 10:00 AM - 1:00 PM",
    "description": "From the moment you enter through the beautiful custom front door, you know this home is something special. …",
    "mls_id": "7090747",
    "mls_name": "ARMLS",
    "year_built": 2001,
    "price_per_sqft": 317,
    "monthly_hoa_fee": 70,
    "last_sold_price": 340000,
    "neighborhood": "Desert View",
    "garage_parking_capacity": 2,
    "virtual_tour_url": "https://www.zillow.com/view-3d-home/7af0d33e-16b9-4a2f-9b11-27217645fda6",
    "home_insights": ["Beautiful sunset views", "Only one neighboring home", "Dedicated coffee station"],
    "price_history": [
        { "date": "2026-10-08", "price": 675000 },
        { "date": "2017-11-03", "price": 340000 },
        { "date": "2017-09-30", "price": 344900 }
    ],
    "scraping_time": "2026-10-13T18:02:45+00:00"
}

The Output tab has an Overview (price, address, size, Zestimate, broker, photo) and one view per group of fields: listing, price and value, address, home, photos, sale type, and, with Property details on, agent and MLS, description, home facts, parking, and costs and price history. You can export the results to JSON, CSV, Excel, XML and HTML.

How much does it cost to scrape Zillow?

This Actor uses pay-per-event pricing: you pay only for the listings you get, with no monthly rental. On the Apify Free plan, the price is $1.00 per 1,000 listings.

• Bronze, Silver and Gold Apify plans pay less: $0.90, $0.80 and $0.70 per 1,000 listings.
• Property details is an add-on: $1.50 per 1,000 listings on the Free plan, and $1.35, $1.20 and $1.00 on Bronze, Silver and Gold. It is charged only for listings whose details loaded, and always for single-listing links, which include the details.

For example, 1,000 listings cost $1.00 on the Free plan, or $2.50 with Property details on. Apify's free monthly credit is enough to try the scraper.

Integrations and API

You can run the Zillow scraper from your own code through the Apify API, and get the results as JSON, CSV or Excel.

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("keklik/zillow-property-listings-scraper").call(run_input={
    "startUrls": ["https://www.zillow.com/austin-tx/"],
    "maxResultsPerUrl": 50,
})
for home in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(home["full_address"], home["price"])

Node.js (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('keklik/zillow-property-listings-scraper').call({
    startUrls: ['https://www.zillow.com/austin-tx/'],
    maxResultsPerUrl: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

You can also:

• Schedule runs to track new listings and price cuts every day or week.
• Use webhooks to get notified, or to start your own process, when a run finishes.
• Connect the results to Make, Zapier, Google Sheets, Airbyte and other tools through Apify integrations.
• Let AI agents run the scraper through the Apify MCP server.

FAQ

Is it legal to scrape Zillow?

This scraper only collects data that Zillow shows publicly to any visitor, without logging in. Listings can include personal data, such as the names and phone numbers of agents. If you collect personal data, make sure you have a lawful reason to do so and follow the rules that apply to you, such as GDPR or CCPA. If you are unsure, ask a lawyer.

Do I need a Zillow account?

No. You don't need a Zillow account, login or cookies. Paste a URL and start the run.

How many listings can I get from one Zillow search?

Zillow shows at most about 980 listings for any one search, whatever total it displays. To collect more, split the search by ZIP code or by price range and add each one as its own URL. A listing that appears in several of your searches is exported only once.

Can I scrape sold homes and rentals?

Yes. Use a sold or rental search URL, or set Listing status to Sold or For rent. Some states, such as Texas, do not disclose sale prices, so the sold price can be empty there. Zillow shows many apartment complexes as one card per building with no single price; those cards are skipped, so a rentals search can return fewer rows than Zillow's count. Houses and individual units for rent are exported normally.

Can I filter by price, bedrooms or home type?

Yes. Set the filters on zillow.com before you copy the search link, or set them in the scraper: sold or for rent, min and max price, bedrooms, bathrooms, home type, and how recently the home was listed or sold. They apply to every search link you add.

Why are some details missing?

Some fields depend on the listing. Sold and off-market homes have no description or price history on Zillow, though the MLS record and year built are usually there. Price history and the at-a-glance facts mostly appear on Zillow Showcase listings. The Zestimate is empty when Zillow does not show one for the home. With Property details on, a listing whose details could not be loaded keeps its basic row.

Can I get the listing agent's phone and email?

Turn on Property details. You then get the listing agent's name and phone, and the broker's phone, whenever the listing shows them. Zillow almost never shows agent emails, so that column is usually empty.

Can I track new listings and price cuts?

Yes. Schedule the scraper on Apify to run every day or week, with Listed or sold within set to 1 day or 7 days to get only the new homes. Each row shows the number of days the home has been on Zillow and, when the price changed, the last price change and its date.

Why did some inputs fail?

Failed URLs are listed, with a reason, in the FAILED record of the run's key-value store (Storage tab):

• invalid_url: not a Zillow URL, or Zillow does not recognise the search.
• not_a_search_page: a Zillow page that is neither a search nor a listing.
• wrong_input: the filters could not be applied to this search.
• not_found: the single listing does not exist.
• page_inaccessible: a later page of results could not be loaded. Listings collected before it are kept.
• blocked: Zillow did not let the scraper through for this URL. Listings collected before it are kept. Run it again later.

A run with no listings at all says why in its status message (for example 1 invalid url). It ends as Failed only when Zillow blocked the scraper; a URL that simply has nothing to return still ends as Succeeded.

How fresh is the data?

Every run reads Zillow live. Dates are in UTC (ISO 8601). The MLS "last checked" and "last updated" times are in the listing's local time, as Zillow shows them. Photo links point to Zillow's image servers and can stop working after a listing is removed.

What happens when a run fails?

The run's status message says why, and the log names each input that failed. If a mistake in the input stops the run before anything is scraped, the run ends without results and its status message says what to change. Either way the Actor sends us a short error report, so we can fix the cause even if you never open an issue: the Actor's build, the reason, the counts from the end-of-run summary, whether your Apify plan is free or paid and, for an unexpected error, where in our code it happened. Web addresses and @usernames are blanked out first. The report never includes your input, your account, the pages you scraped or your results. Every run, failed or not, also sends one usage line as it ends, so we can see which options people use, what runs cost us and how well the data is filled: how many of each charged event it used (for example 120 full details) and the price your plan paid for them; the run's platform cost by item and its resources (time, memory, proxy traffic); whether it stopped at your maximum cost or maximum items; how it was started (Console, API, schedule, saved task, and for API runs the kind of tool, such as Make, Zapier or the Apify client, never the tool's full identity); our scraper's own retry and timing counts; and for each output field, how many results had it filled (counts only, never the values). That never includes your input, your account, your IP address, the pages you scraped or your results either. If you need help with a run, open an issue on the Issues tab and attach the run, or email support@kekliktech.com with the run's link; the run's log ends with both.

Related scrapers

• Rightmove Property Scraper: the same kind of property listings data for the UK.
• Rightmove Estate Agents Scraper: build lists of UK estate and letting agents with phone numbers and addresses.
• Instagram Profile Scraper: research the Instagram presence of agents and brokerages you found on Zillow.

Support

Found a bug or need a field that is not here? Open an issue in the Issues tab and we'll look into it. Need a custom real estate scraper or a different data format? Get in touch through the Issues tab and ask for a custom solution.