Zoopla Scraper - UK Property Listings & Agents avatar

Zoopla Scraper - UK Property Listings & Agents

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from $1.65 / 1,000 properties

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Zoopla Scraper - UK Property Listings & Agents

Zoopla Scraper - UK Property Listings & Agents

Scrape Zoopla UK property listings for sale, to rent and new homes. Get prices, beds, baths, floor area, coordinates, agent name and phone, EPC, tenure, council tax and price history. Independent tool, not affiliated with Zoopla.

Pricing

from $1.65 / 1,000 properties

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Scrape Sage

Scrape Sage

Maintained by Community

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1

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a day ago

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Zoopla Scraper - UK Property Listings, Prices & Agent Contacts

Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Zoopla Limited or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. "Zoopla" is referenced only to describe the publicly available website this Actor collects data from.

Extract UK property listings from Zoopla at scale - price, address, bedrooms, bathrooms, floor area, coordinates, photos, and the listing agent's name and phone number - for sale, to rent or new homes, anywhere in the UK. Switch on full detail and every property also brings back its own listing page: description, key features, EPC rating, tenure, council tax band, service charge, ground rent, floor plan, price history, Zoopla's own estimate, nearest stations and the exact postcode.

No API key and no login. Give it a location, and results stream into a dataset you can export as JSON, CSV or Excel.

Why this Zoopla scraper?

Zoopla sits behind Cloudflare, and its CSS class names are rebuilt on every deploy (price_priceText__3ffbf), so tools that scrape the rendered HTML break quietly. This Actor opens Zoopla in a real browser over UK residential IPs and reads the structured data payload behind the page instead of its class names, so a Zoopla redesign does not silently empty your dataset. Only that payload is fetched - images, fonts, stylesheets and third-party scripts are blocked at the wire, which is what keeps the per-property price low.

DataTypical scrapersThis Actor
Price, address, beds, baths, property type
Floor area, living rooms, listing summarypartial
Latitude / longitudepartial
Listing agent name + phone number
Agent logo, profile URL, branch ID
Price-reduction flag, with the date and the % cut
Full photo gallery + floor-plan and video countspartial
EPC rating and certificate image❌ opt-in add-on✅ opt-in
Tenure, council tax band, service charge, ground rent✅ opt-in
Price history with dates + Zoopla estimate✅ opt-in
Exact postcode, street, UPRN, nearest stations✅ opt-in
Choose your own columns (90 available)
Monitor mode - only new listings
Pricingbase + add-onsflat per-property fee

What you get

From every search result (the default):

FieldNotes
listingId, url, title, sectionfor-sale, to-rent or new-homes
price, priceLabel, pricePerWeeknumber and as-shown text; weekly rent on lettings
isPriceReduced, reducedDate, reducedPercentthe reduction, already worked out for you
propertyType, numBedrooms, numBathrooms, numLivingRooms
sizeSqFt, summaryfloor area where the agent published one
address, latitude, longitude
agentName, agentPhonethe branch marketing the property, and its number
agentLogo, agentProfileUrl, branchId
listedOn, availableFrom, status, isUnderOffer
tags, image, images, imageCount, floorPlanCount, videoCountfull gallery, not just the hero shot

With Open each property page for full detail on, each property adds: the complete description and key features, epcRating and the certificate image, tenure, councilTaxBand, serviceCharge, groundRent, leaseRemaining, Zoopla's material-information block, the floor-plan image, priceHistory with dates, estimatedValue, pricePerSqFt, priceQualifier ("Guide price", "Offers in region of"), postcode, street, outcode, incode, post town, county, region, UPRN, nearestStations with distances in miles, chain-free / shared-ownership / retirement flags, new-build or pre-owned, the agent's brand and branch, and captioned photos.

Use cases

  • Investment and market analysis - pull every flat in a borough with price, floor area, tenure and price per square foot, and compare yields street by street.
  • Price-reduction alerts - filter to price-reduced stock and put the run on a schedule to see what is softening while it is still on the market.
  • Estate-agent lead lists - every listing carries the marketing branch and its phone number, so a search doubles as a prospect list for proptech, photography, EPC and conveyancing services.
  • Proptech and valuation datasets - coordinates, UPRN, exact postcode, EPC, tenure, council tax band and price history are the columns AVM and comparables tooling actually needs.
  • New-listing monitoring - monitor mode remembers what it has already returned, so a daily run emits only what is new.
  • Rental market tracking - switch section to to rent for weekly and monthly rents, availability dates and furnishing detail.

How to use

  1. Sign up for Apify - the free plan is enough to try this Actor.
  2. Open the Zoopla Scraper, type one or more locations (london, manchester, bristol, wandsworth), choose a section and click Start.
  3. Watch properties stream into the dataset table.
  4. Export as JSON, CSV, Excel, XML or RSS - or pull results programmatically through the Apify API.

Zoopla files some towns under their county. If a plain slug returns nothing, use the two-part form - west-yorkshire/leeds. If a place has no Zoopla search page at all, the run says so plainly instead of failing.

Input

{
"locations": ["london", "west-yorkshire/leeds"],
"section": "for-sale",
"propertyType": "flats",
"includeDetails": true,
"maxPagesPerLocation": 3,
"minPrice": 300000,
"maxPrice": 900000,
"minBeds": 2,
"onlyPriceReduced": false,
"monitorMode": false
}
  • locations - UK places as Zoopla writes them. Use county/town where a town sits under a county.
  • section - for sale, to rent or new homes.
  • propertyType - any, houses, flats, bungalows, farms and land, cottages, retirement, shared ownership, student accommodation.
  • includeDetails (default false) - open each property's own page for the full record (EPC, tenure, price history, exact postcode, stations…). Charged as the detail event instead of the standard one, never on top of it.
  • maxPagesPerLocation (default 3) / maxResults - how much to fetch.
  • minPrice / maxPrice / minBeds / maxBeds / minBaths / minSizeSqFt - filters.
  • onlyPriceReduced / onlyWithFloorPlan / excludeUnderOffer - more filters. Properties removed by any filter are never charged.
  • startUrls / urlsFromFile - paste Zoopla search URLs, link a .txt or .csv file, a Google Sheet or a Drive file, or use the {"requestsFromUrl": …} shape.
  • outputFields - pick exactly the columns you want from all 90.
  • monitorMode / monitorStoreName - return only properties that are new since the last run.

Output

One row per property. Empty fields are omitted, so exports never carry blank filler columns:

{
"listingId": "72663952",
"url": "https://www.zoopla.co.uk/for-sale/details/72663952/",
"section": "for-sale",
"title": "2 bed flat for sale",
"propertyType": "flat",
"address": "Scarsdale Villas, London W8",
"postcode": "W8 6PP",
"price": 875000,
"priceLabel": "£875,000",
"priceQualifier": "Guide price",
"pricePerSqFt": 1354,
"numBedrooms": 2,
"numBathrooms": 1,
"sizeSqFt": 646,
"latitude": 51.497521,
"longitude": -0.1947,
"tenure": "Share of freehold",
"councilTaxBand": "G",
"serviceCharge": "£1,600 per year",
"epcRating": "D",
"estimatedValue": 1305537,
"agentName": "Savills - Kensington",
"agentPhone": "020 8022 3223",
"nearestStations": [{ "name": "High Street Kensington", "miles": 0.3 }]
}

Good to know

  • Search by location, not by keyword. Zoopla's robots.txt disallows any URL carrying q=, so there is no free-text "cottage with a paddock" box. Search by location, section and property type instead.
  • No radius search and no sold prices. radius= and include_sold= are disallowed by the same file, as are the /property/, /api/ and /search/ trees. Hand the Actor such a URL and it skips it, names the rule that forbids it, and charges nothing.
  • New-build listings carry no exact address. Zoopla's own new-homes pages publish no postcode or street, so those fields are null for new builds while every other field is filled.
  • Floor area, reception rooms, EPC and council tax are supplied by the agent and are genuinely absent on some listings. A null means Zoopla published nothing there - the Actor never invents a value.
  • A run never fails on a transient block. It ends Succeeded with whatever it collected plus a status message explaining what happened, and stops before its own time limit rather than timing out.

How much does it cost to scrape Zoopla?

This Actor uses Apify's pay-per-event pricing: you are charged only for the results it delivers, with no monthly rental and no start fee. The events it can charge are:

  • Property - One Zoopla property from a results page - price, address, property type, bedrooms, bathrooms, living rooms, floor area, coordinates, listing agent with phone number, photo gallery, price-reduction and under-offer flags. Properties dropped by your price, bedroom, bathroom, size, price-reduced, floor-plan or under-offer filters are never charged.
  • Property with full detail - One Zoopla property including its own listing page - full description, key features, EPC rating and certificate, tenure, council tax band, service charge and ground rent, floor plan, price history, Zoopla estimate, nearest stations with distances, exact postcode and street, and the agent's brand and branch. Charged instead of the standard Property event, never on top of it.

The current price of each event is shown on the Pricing tab of this page. Set a maximum total charge on the run if you want a hard cap on spend, and use the input limits to control how much the Actor fetches.

Automate & schedule

Run this Actor on autopilot and pull results into your own stack:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });
const run = await client.actor('scrapesage/zoopla-scraper').call({
// your input - see the Input section above
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);

Integrate with any app

Connect the dataset to thousands of apps - no code required:

  • Make - multi-step automation scenarios.
  • Zapier - push new records straight into your CRM or spreadsheet.
  • Slack - get notified when a scheduled run finds something new.
  • Google Drive / Sheets - auto-export every run to a spreadsheet.
  • Airbyte - pipe results into your data warehouse.
  • GitHub - trigger runs from commits or releases.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. You can call this Actor from Claude, ChatGPT or any agent framework through the Apify MCP server - describe the data you need and let the assistant run this Actor for you.

Agent-ready: autonomous payments (x402 & Skyfire)

This actor is agent-ready — AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

  • x402 — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server — no account, no API key.
  • Skyfire — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

More scrapers from scrapesage

Related Actors in the same category:

Tips

  • Go narrow for volume. A borough or town slug returns a far larger share of its own market than a whole-city slug. Pass several narrow locations rather than one broad one.
  • Two-pass workflow. Run without detail to survey a market cheaply, then re-run with includeDetails on the shortlist you care about.
  • Watch reductions. Combine onlyPriceReduced with a Schedule and monitor mode for a daily feed of what has just been cut.
  • Trim your columns. Set outputFields to the handful you need and the CSV lands ready for a spreadsheet instead of 90 columns wide.
  • Agent lead lists. agentPhone, agentName and branchId are on every row, so deduplicate by branchId to turn any search into a branch-level prospect list.

FAQ

How is this Actor billed? Pay-per-event: you pay only for the results it delivers, with no monthly rental and no start fee. The per-event price is shown on the Pricing tab.

Can I schedule it and get results automatically? Yes - create a Schedule and add a webhook or an integration (Google Sheets, Slack, Make, Zapier) to push each run's dataset wherever you need it.

Which export formats are available? Every run's dataset can be downloaded as JSON, CSV, Excel (XLSX), XML, HTML or RSS from the Apify Console or the API.

Can I run it from code or an AI agent? Yes - through the Apify API and client libraries, or from Claude, ChatGPT and other assistants via the Apify MCP server.

Is it legal to scrape Zoopla? This Actor collects publicly available data only. You are responsible for using the output in compliance with applicable laws (including data-protection law where personal data is involved) and the source's terms. See Data & lawful use and the Disclaimer below.

Is this an official Zoopla tool? No. It is an independent, third-party Actor with no affiliation to, endorsement by or sponsorship from Zoopla Limited. See the Disclaimer below.

Data & lawful use

This Actor reads public listings and the seller information shown on them. Sellers on Zoopla include private individuals, so seller names, usernames and any contact details are personal data. If you are in the EU or UK you are the data controller for what you do with them: have a lawful basis, use the data for market research, price monitoring or lawful sourcing, honour deletion requests, and do not send private sellers unsolicited marketing.

Under Apify's Standard Actor Contract, which governs your use of this Actor, you are the controller of any personal data in your input and output and scrapesage acts only as your processor: that data is processed solely to run your job, written only to your own Apify storage, never used for any other purpose and never shared onward. If you need help with a data-subject request that involves this Actor's output, open an issue on the Issues tab.

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Zoopla Limited or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

"Zoopla" and any related marks are the property of their respective owners and are used here only in a descriptive, nominative sense - to identify the publicly accessible website from which this Actor collects data. This Actor is not an official Zoopla product, is not authorised or certified by Zoopla Limited, and does not distribute Zoopla software. It collects only publicly available information; you are responsible for ensuring your use of that data complies with applicable laws, regulations and the terms of the source website.

Need help?

Open an issue on the Actor's Issues tab, or visit the Apify help center. Feature requests are welcome - this Actor is actively maintained.