Zoopla Sold House Prices Scraper

Zoopla Sold House Prices Scraper by Omkar Cloud gets you 🎯 accurate, 🔍 detailed UK sold house price data.

Zoopla uses Cloudflare bot protection to stop you from getting its data.

Zoopla Sold House Prices Scraper beats it, so you get the data, and can successfully complete your project.

$1 per 1,000 sold records. And with Apify's free plan you get $5 of credit every month, so your first ~5,000 sold records 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 Sold House Prices Scraper free — your first ~5,000 sold records are Free.

What can I get

• 🏠 Sold prices for any UK area — HM Land Registry records by town, borough, outcode or postcode, most recent sales first
• 💷 Every sale's essentials — address, postcode, UPRN, coordinates, last sale date & price
• 🛏️ Property attributes — bedrooms, bathrooms, living rooms, property type, tenure & floor area
• 📈 Zoopla value estimates — sale estimate with range & confidence, rent estimate, energy rating & value change since the sale, for sold records or any address

Why Zoopla Sold House Prices Scraper

Most other Zoopla scrapers fail you in one of four ways:

• 🗄️ Inaccurate, cached, stale data
• 🧩 Low-detail data — a price and a date, never the property or its current value
• 💸 Pay more to get the same data — monthly rentals whether you scrape 10 records or 10,000
• 🪦 Works today, breaks next month — nobody maintains it

Zoopla Sold House Prices Scraper is scraped live on every run, priced honestly, and actively maintained.

Example: A Sold Record with Value Estimate

{
  "area": "CR2 9BE",
  "uprn": "100020684061",
  "address": "45 Princes Avenue, South Croydon, CR2 9BE",
  "postcode": "CR2 9BE",
  "outcode": "CR2",
  "country": "England",
  "latitude": 51.3203197,
  "longitude": -0.0666388,
  "link": "https://www.zoopla.co.uk/property/uprn/100020684061/",
  "last_sale": { "date": "2026-05-28", "price": 600000, "currency": "GBP" },
  "attributes": {
    "bedrooms": 4,
    "bathrooms": 2,
    "living_rooms": 2,
    "property_type": "Semi-Detached House",
    "tenure": "Freehold",
    "floor_area_sq_m": 149
  },
  "energy_rating": "C",
  "sale_estimate": {
    "amount": 627000,
    "lower": 596000,
    "upper": 659000,
    "currency": "GBP",
    "confidence": "HIGH",
    "value_change": { "amount": 27000, "percentage": 4.5, "since_sale_date": "2026-05-28" },
    "updated_at": "2026-08-14"
  },
  "rent_estimate": { "amount": 2100, "lower": 1850, "upper": 2300, "currency": "GBP", "frequency": "per_month" },
  "live_listings": []
}

Trimmed for readability.

Get Started with 5,000 Free Records

1. Hit Try for Free Button — the input is pre-filled with the "NW3" and "Manchester" area examples.
2. Enjoy your data 😎.

Pricing

High value, Low price.

What	Price	What you get
Sold records	$1 per 1,000	address, postcode, UPRN, coordinates, last sale date & price, bedrooms, bathrooms, living rooms, property type, tenure, floor area + Zoopla link
Estimated records	$3 per 1,000	Everything above + Zoopla's sale estimate with low/high range & confidence, value change since the last sale, rent estimate, energy rating, outcode & live listings — for sold records (toggle) or for any address/UPRN you give

No start fee — you pay only for the rows you get, and the estimate rate only when Zoopla actually returns a valuation (a home without one is billed as a plain sold record). Control your spend with Max Sold Records per Area: 1,000 records ≈ $1.

💡 Apify's free plan includes $5 of credit every month — about 5,000 free sold records, every month.

👉 Scrape your first 5,000 sold records 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 ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/zoopla-sold-house-prices-scraper").call(run_input={
    "areas": ["NW3"],
    "addValueEstimate": True,
    "maxResultsPerArea": 10,
})
for record in client.dataset(run["defaultDatasetId"]).iterate_items():
    estimate = record.get("sale_estimate") or {}
    print(record["address"], record["last_sale"]["price"], estimate.get("amount"))

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-sold-house-prices-scraper').call({
    addresses: ['45 Princes Avenue, South Croydon, CR2 9BE'],
});
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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• 🏠 Zoopla Scraper — live UK listings for sale, to rent & new homes with full details.
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👉 Scrape your first 5,000 sold records free now