🚀 Zoopla Scraper · 5,000 Free Listings/Month
Pricing
from $1.00 / 1,000 results
🚀 Zoopla Scraper · 5,000 Free Listings/Month
Zoopla Scraper gets you Zoopla data ⚡ fast, 🎯 100% accurate and 🔍 ridiculously detailed — UK homes for sale, to rent & new homes, full listing details, EPC, floor plans & agent phone. 💰 $1 per 1,000 listings, no start fee. Scrape your first 5,000 listings free every month 🚀
Pricing
from $1.00 / 1,000 results
Rating
5.0
(1)
Developer
Omkar Cloud
Maintained by CommunityActor stats
0
Bookmarked
1
Total users
1
Monthly active users
15 days ago
Last modified
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Zoopla Scraper
Zoopla Scraper by Omkar Cloud gets you 🎯 accurate, 🔍 detailed Zoopla data.
Zoopla uses Cloudflare bot protection to stop you from getting its data.
Zoopla Scraper beats it, so you get the data, and can successfully complete your project.
$1 per 1,000 listings. And with Apify's free plan you get $5 of credit every month, so your first ~5,000 listings each month are free.
This is an excellent Actor made by Omkar Cloud, which is Rated Excellent — 4.7 based on 30 reviews on Trustpilot.
👉 Try Zoopla Scraper free — your first ~5,000 listings are Free.
What can I get
- 🏠 For sale, to rent & new homes — search any UK town, area, postcode or outcode; filter by price, bedrooms, property type, furnishing, date added, keywords & radius
- 📞 Agent name & phone on every row — plus price, beds, baths, floor area, photos, tags & the Zoopla link
- 📋 Full details — description, features, tenure, price history, EPC rating, coordinates, postcode & UPRN, nearest stations, service charge & council tax, floor plans
- 🔗 Any listing URL — paste zoopla.co.uk listing links and get the full profile back
Why Zoopla Scraper
Most other Zoopla scrapers fail you in one of four ways:
- 🗄️ Inaccurate, cached, stale data
- 🧩 Low-detail data — a few fields per listing, never the full picture
- 💸 Pay more to get the same data
- 🪦 Works today, breaks next month — nobody maintains it
Zoopla Scraper is scraped live on every run, priced honestly, and actively maintained.
Example: A Full Zoopla Listing
{"id": "74079940","title": "2 bed flat for sale","address": "Church Walk, London NW2","link": "https://www.zoopla.co.uk/for-sale/details/74079940/","section": "for-sale","property_type": "flat","published_at": "2026-08-27T07:42:54","description": "A charming two-bedroom ground floor flat situated on the peaceful and picturesque Church Walk, NW2. Spanning over 600 sq ft, the property offers two well-proportioned double bedrooms and the added benefit of its own private entrance.","features": ["Own Entrance", "Quiet Street", "Over 600sqft of Internal Space", "Ground Floor", "Period Facade", "Residents Parking"],"tags": ["Leasehold"],"bedrooms": 2,"bathrooms": 1,"living_rooms": 1,"floor_area": { "size_sqft": 646, "source": "structured_data" },"price": { "amount": 425000, "currency": "GBP", "label": "£425,000", "price_per_floor_area": { "internalValue": 658, "label": "£658/sq. ft" }, "is_auction": false },"tenure": "leasehold","is_chain_free": false,"location": { "latitude": 51.561034, "longitude": -0.197528, "street_name": "Church Walk", "postcode": "NW2 2TJ", "outcode": "NW2", "town": "London", "uprn": "200228980" },"epc": { "rating": "C", "images": ["https://lid.zoocdn.com/645/430/0ce4f1e84c5ea2db57e1316b2a288d6507fab676.png"] },"nearest_stations": [{ "name": "Cricklewood", "distance_miles": 0.7 },{ "name": "Golders Green", "distance_miles": 0.8 }],"property_info": [{ "name": "Tenure", "value": "Leasehold (111 years)" },{ "name": "Service charge", "value": "£600 per year" },{ "name": "Ground rent", "value": "£250" }],"media": {"images": ["https://lid.zoocdn.com/645/430/2ceaffdf3328428915bf741ae20a48ea0d3af506.jpg"],"floor_plans": ["https://lid.zoocdn.com/645/430/78fc53a54cefcf9cc0228473edfdc1765c692443.jpg"]},"agent": { "branch_id": 419, "name": "Chancellors - Hampstead", "brand_name": "Chancellors", "phone": "020 3478 2899", "lettings_phone": "020 3463 0166", "link": "https://www.zoopla.co.uk/find-agents/branch/chancellors-hampstead-london-419/" }}
Trimmed for readability.
Get Started with 5,000 Free Listings
- Hit Try for Free Button — the input is pre-filled with a "London" and "Manchester" homes-for-sale search example.
- Enjoy your data 😎.
Pricing
High value, Low price.
| What | Price | What you get |
|---|---|---|
| Standard listings | $1 per 1,000 | id, title, address, price, bedrooms, bathrooms, receptions, floor area, listed-on date, tags, photos, agent name & phone + search context |
| Detailed listings | $2.50 per 1,000 | Everything above + description, features, tenure, price history, EPC rating, coordinates, postcode & UPRN, nearest stations, service charge / council tax / ground rent, all photos, floor plans, agent brand & lettings phone |
No start fee — you pay only for the rows you get. Control your spend with Max Listings per Location: 1,000 listings ≈ $1.
💡 Apify's free plan includes $5 of credit every month — about 5,000 free listings, every month.
👉 Scrape your first 5,000 listings free
Run It from Code
Grab your API token from Integrations Settings here and replace <YOUR_API_TOKEN> below.
Python (pip install apify-client)
from apify_client import ApifyClientclient = ApifyClient("<YOUR_API_TOKEN>")run = client.actor("omkar-cloud/zoopla-scraper").call(run_input={"locations": ["London"],"section": "for-sale","bedsMin": 2,"priceMax": 500000,"scrapeListingDetails": True,"maxResultsPerLocation": 10,})for listing in client.dataset(run["defaultDatasetId"]).iterate_items():print(listing["address"], listing["price"]["label"], listing["agent"]["phone"])
Node.js (npm install apify-client)
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });const run = await client.actor('omkar-cloud/zoopla-scraper').call({listingUrls: ['https://www.zoopla.co.uk/for-sale/details/74017763/'],});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(items);
💬 Have Questions? We Have Answers.
You're a business owner — we know how hard completing a project can be. So we offer full support: just message us and we'll reply ✅ with a solution within 1 working day.
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