Zoopla Property Search Scraper

Watching the UK property market on Zoopla usually means scrolling page after page and copying out the price, address, and agent for every listing by hand. This scraper does the copying for you. Paste a Zoopla search link or type a town name, and each listing comes back as a tidy row with the price, postcode, bedrooms, agent, and map coordinates already split into fields. It pages through the results on its own, it's cheap and code-free, and you only pay for the listings you pull.

What you get

Every Zoopla listing comes back as one row, grouped into three kinds of data:

• Property and location — listingRef, headline, fullAddress, postalCode, homeType, bedroomCount, bathroomCount, floorAreaSqft, mapLat, mapLng, plus the listingUrl
• Price and listing state — priceLabel, priceValue, currencyCode, dealType, statusFlag, isUnderOffer, isFeatured, listedDate
• Agent, media, and run info — agentLabel, contactPhone, summaryText, photoLinks, collectedAt, sourceQuery

Quick start

1. Open zoopla.co.uk, apply your filters (area, price, bedrooms, property type), and copy the link from the address bar.
2. Hit Try for free and paste that link into Zoopla search links — or type a town name into Location keywords instead.
3. Set a Listings cap per input to decide how many results you pull per search.
4. Press Start, then export the rows as JSON, CSV, Excel, or XML.

Use cases

• Price tracking — follow asking prices and rents across a city or postcode and catch reductions early
• Investment research — filter by price, bedrooms, and home type to score for-sale or rental stock against your criteria
• Area comparison — line up price, bedroom count, and home type across several towns in one run
• Agent and lead research — collect estate and letting agent names and phone numbers from live listings
• Portfolio monitoring — keep an eye on under-offer status, new listings, and price flags for homes you're watching
• Market dashboards — feed fresh Zoopla data into your own sheet, BI tool, or model

Input

Field	Type	Required	Description
listingUrls	array of strings	One of listingUrls or searchTerms	Full Zoopla search links copied from your browser; each is crawled on its own. Prefilled with a Bristol for-sale search.
searchTerms	array of strings	One of listingUrls or searchTerms	Plain location keywords like Leeds or Cardiff; each becomes its own Zoopla search using the category below.
searchCategory	string	No	For keyword searches, choose for-sale or to-rent. Ignored for pasted links. Default for-sale.
resultsLimit	integer	No	Top number of listings to gather per link or keyword. Default 50.
pageLimit	integer	No	Top number of result pages to walk through per link or keyword. Default 5.
timeoutSeconds	integer	No	Seconds to wait on each request before giving up. Default 45.

Example input

{
    "listingUrls": [
        "https://www.zoopla.co.uk/for-sale/property/bristol/?q=Bristol"
    ],
    "searchTerms": ["Leeds", "Cardiff"],
    "searchCategory": "for-sale",
    "resultsLimit": 50,
    "pageLimit": 5,
    "timeoutSeconds": 45
}

Output

Every listing on the search results becomes one row, paginated automatically up to your limit. Fields that Zoopla does not publish for a given property — floor area, a second bathroom, coordinates — come back as null rather than guessed.

Example output

{
    "listingRef": "73070889",
    "listingUrl": "https://www.zoopla.co.uk/for-sale/details/73070889/",
    "headline": "3 bed semi-detached house for sale",
    "priceLabel": "£285,000",
    "priceValue": 285000,
    "currencyCode": "GBP",
    "fullAddress": "Maple Avenue, Bishopston, Bristol BS7",
    "postalCode": "BS7",
    "bedroomCount": 3,
    "bathroomCount": 1,
    "homeType": "semi-detached",
    "floorAreaSqft": null,
    "summaryText": "A well-presented three-bedroom semi-detached home in Bishopston, close to Gloucester Road shops and well-rated schools.",
    "photoLinks": [
        "https://lid.zoocdn.com/800/600/a1b2c3d4e5f6.jpg",
        "https://lid.zoocdn.com/800/600/b2c3d4e5f6a1.jpg"
    ],
    "agentLabel": "Greenfield & Co",
    "contactPhone": "0117 244 1234",
    "listedDate": "2026-06-24T10:22:00",
    "statusFlag": "Just added",
    "isUnderOffer": false,
    "isFeatured": false,
    "dealType": "for-sale",
    "mapLat": 51.480123,
    "mapLng": -2.587456,
    "collectedAt": "2026-06-30T09:14:22.841Z",
    "sourceQuery": "https://www.zoopla.co.uk/for-sale/property/bristol/?q=Bristol"
}

Output fields

Field	Type	Description
listingRef	string	Zoopla's own unique code for the listing
listingUrl	string	Link to the property's detail page on Zoopla
headline	string	Listing headline, e.g. "3 bed semi-detached house for sale"
priceLabel	string	Asking price or monthly rent with its currency symbol
priceValue	integer	The price as a bare whole number, ready for sorting
currencyCode	string	Three-letter currency code, usually GBP
fullAddress	string	Complete property address with area and postcode
postalCode	string	UK postcode pulled out of the address
bedroomCount	integer	Number of bedrooms
bathroomCount	integer	Number of bathrooms
homeType	string	Detached, semi-detached, terraced, flat, bungalow, and so on
floorAreaSqft	integer	Internal floor area in square feet when Zoopla publishes it
summaryText	string	Short marketing blurb from the listing
photoLinks	array	Full-size property photo URLs
agentLabel	string	Estate or letting agent name
contactPhone	string	Phone number listed for the agent
listedDate	string	ISO 8601 date the listing first appeared
statusFlag	string	Marketing flag such as "Just added" or "Reduced"
isUnderOffer	boolean	true when the property is currently under offer
isFeatured	boolean	true when the listing is a premium featured placement
dealType	string	for-sale or to-rent
mapLat	number	Latitude coordinate of the property
mapLng	number	Longitude coordinate of the property
collectedAt	string	ISO 8601 timestamp of when the row was captured
sourceQuery	string	The search link or keyword that surfaced this listing

Tips for best results

• Filter on Zoopla first. Set your area, price band, minimum bedrooms, and home type before copying the link — the scraper pulls exactly what that search shows, so a tighter search means a cleaner dataset.
• Keywords are great for quick multi-town runs. Type a few town names into searchTerms for broad coverage; for precise postcode or price-band control, a pasted link is more reliable.
• resultsLimit and pageLimit work together. Each page holds about 25 listings, so a pageLimit of 5 gives you up to roughly 125 results per search. The run stops at whichever cap it reaches first.
• Run it on a schedule. Re-running the same search over time builds a price history — collectedAt makes it easy to see what moved between runs.
• Raise timeoutSeconds if large result sets start tripping timeout errors.

How can I use Zoopla property data?

How can I use the Zoopla Property Search Scraper to track UK house prices? Paste a Zoopla search link for your target area and run it on a schedule. Each row carries priceLabel, priceValue, fullAddress, and listedDate, so you can chart asking prices over time and flag reductions the day they show up.

How can I compare towns on Zoopla by bedrooms and price? Drop several town names into searchTerms and run them in one go. With priceValue, bedroomCount, homeType, and postalCode on every row, you get a clean side-by-side read on where the value sits across areas.

How can I build a UK property dataset for investment research? Feed in one or more search links, set resultsLimit to the volume you need, and export to CSV or Excel. The result is a structured property database — address, price, bedrooms, agent, and coordinates — that you can score against your own buy-to-let or flip criteria.

How do I pull estate agent contacts from Zoopla listings? Run a search for your market and each row returns agentLabel and contactPhone alongside the property, so you can build an agent lookup or contact list straight from live for-sale and to-rent listings.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.