Real estate

Rightmove Scraper: Sold Prices Data and Estate Agent Leads

Scrape Rightmove sold prices with full transaction history, and pull estate agent branch contacts for lead generation. Inputs, output and API examples.

October 3, 2026Epic Scrapers

Rightmove is where most UK property research starts. Two of its datasets are especially useful in bulk: the house-prices pages, which show what properties actually sold for, and the estate agent branch pages, which list each office’s contact details. Neither comes with a public API.

Epic Scrapers has a Rightmove actor for each:

The Rightmove Sold Listings Scraper collects sold properties by postcode, area or house-prices URL, with optional full transaction history per property.
The Rightmove Branch Scraper takes branch IDs and returns each estate agent branch’s name, brand, address, phone numbers, email and coordinates.

They solve different jobs, so this guide covers them separately.

Part 1: Scrape Rightmove sold prices

What you get

Each sold property comes back as one record with:

address, propertyType, bedrooms, bathrooms
latestTransaction with displayPrice, dateSold and tenure
location.latitude and location.longitude
detailUrl (the Rightmove house-prices page) and imageInfo.unsizedUrl
searchLocation (the resolved outcode or area) and scrapedAt

Turn on includeTransactionHistory and each record also gets a transactionHistory object: every recorded sale in transactions (price, deed date, tenure, change from the previous sale), plus propertyDetails with when the property was last advertised (advertisedFrom, advertisedTo, soldPropertyLastListed).

How to run it

Open the Rightmove Sold Listings Scraper on Apify.
Enter a Location: a postcode or outcode (SW6, M20), an area name (Manchester), or a Rightmove house-prices URL.
Choose Sold within (1 to 30 years), an optional Property type, and a Search radius.
Set Maximum listings (1 to 10,000; default 50) and a sort order.
Tick Include transaction history if you need past sales, then click Start.

The same search as JSON, for flats sold in the last two years within half a mile of SW6, with sale history:

{
  "location": "SW6",
  "maxItems": 200,
  "soldWithinYears": "2",
  "propertyType": "FLAT",
  "radius": "0.5",
  "sortBy": "MOST_RECENT",
  "includeTransactionHistory": true,
  "proxyConfiguration": { "useApifyProxy": true }
}

Valid values:

Input	Options
`soldWithinYears`	`"1"`, `"2"`, `"3"`, `"5"`, `"10"`, `"15"`, `"20"`, `"30"`
`propertyType`	`""` (any), `DETACHED`, `SEMI_DETACHED`, `TERRACED`, `FLAT`
`radius` (miles)	`"0"`, `"0.25"`, `"0.5"`, `"1"`, `"3"`, `"5"`, `"10"`, `"15"`, `"20"`, `"30"`, `"40"`
`sortBy`	`MOST_RECENT`, `OLDEST`, `LOWEST_PRICE`, `HIGHEST_PRICE`, `ADDRESS`

Note that soldWithinYears and radius are strings, not numbers.

Sample output

{
  "uuid": "b1822394-aec6-4efe-ad1c-a7a2d09c7649",
  "address": "88a, Orbain Road, London SW6 7JY",
  "propertyType": "FLAT",
  "bedrooms": 3,
  "bathrooms": 1,
  "detailUrl": "https://www.rightmove.co.uk/house-prices/details/b1822394-aec6-4efe-ad1c-a7a2d09c7649",
  "latestTransaction": {
    "displayPrice": "£686,000",
    "dateSold": "17 Apr 2026",
    "tenure": "LEASEHOLD"
  },
  "location": { "latitude": 51.47946, "longitude": -0.21141 },
  "transactionHistory": {
    "transactions": [
      {
        "displayPrice": "£686,000",
        "displayDeedDate": "17 Apr 2026",
        "tenure": "Leasehold",
        "displayAbsoluteChange": "£0",
        "absoluteChangeType": "NO_CHANGE"
      }
    ],
    "source": "LR",
    "propertyDetails": {
      "advertisedFrom": "March 2025",
      "advertisedTo": "October 2025"
    }
  },
  "searchLocation": { "id": "2519", "type": "OUTCODE", "name": "SW6" },
  "scrapedAt": "2026-07-25T14:31:14.763Z"
}

Transaction history costs one extra request per property and is billed as a separate event, only when it succeeds. If it fails for a property, the record is still saved with transactionHistory: null. Leave it off for quick comps and turn it on for due diligence.

What sold-price data is good for

Comparable sales. Pull every flat or terrace sold near a target postcode in the last 12 to 24 months, filter by bedrooms, and you have a comps table for a valuation or offer.
Investment due diligence. Transaction history shows how often a property changed hands and how its price moved, which flags flips and long-hold properties.
Area price tracking. Schedule a monthly run per outcode with sortBy: "MOST_RECENT" and chart median sold price by property type.
Time on market. advertisedFrom and advertisedTo in propertyDetails give a rough marketing period before the sale.
Valuation models and data enrichment. Sold prices with coordinates, tenure and bedroom counts are the standard inputs for AVMs and pricing dashboards.

Part 2: Scrape Rightmove estate agent contacts

What you get

The branch scraper returns one record per branch ID:

branchId, name, brandName, rightmoveUrl
address, latitude, longitude
telephoneNumbers (each with label, number and a main flag) and email
development, resale, lettings: whether the branch does new builds, resales and lettings
fullDescription, summary, branchLogo, largeBranchLogo, branchPhoto, updateDate, scrapedAt

How to run it

Find branch IDs on Rightmove: open an estate agent’s branch page and take the number at the end of the URL, such as 292349 in https://www.rightmove.co.uk/estate-agents/agent/292349. Paste as many as you want into Branch IDs:

{
  "branchIds": ["292349", "12345", "87654"]
}

That’s the only input. Batch runs with hundreds of IDs are the intended use.

Sample output

{
  "branchId": 292349,
  "name": "King's Road Park",
  "brandName": "Berkeley Group",
  "address": "1 Sand's End Lane, London, SW6 2FP",
  "telephoneNumbers": [
    { "label": "Tel", "number": "020 4572 7682", "main": true }
  ],
  "email": "sales@kingsroadpark.co.uk",
  "latitude": 51.47688773268107,
  "longitude": -0.18908181465922225,
  "development": true,
  "resale": true,
  "lettings": false,
  "rightmoveUrl": "https://www.rightmove.co.uk/estate-agents/agent/292349",
  "scrapedAt": "2026-07-25T11:40:40.569Z"
}

What branch data is good for

B2B lead generation. Proptech, mortgage, conveyancing, photography and software companies selling to UK estate agents get a clean list of branch emails and main phone lines.
Segmentation. Use lettings, resale and development to target lettings-only offices or new-homes teams separately.
CRM enrichment. Match on branchId or rightmoveUrl to add addresses, coordinates and logos to existing agency records.
Competitor mapping. Group by brandName and plot latitude/longitude to see how chains and independents cover a region.

Use the Rightmove scrapers from the API

Both actors run through the Apify API. In Python with apify-client:

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])

sold = client.actor("epicscrapers/rightmove-sold-listings-scraper").call(run_input={
    "location": "Manchester",
    "maxItems": 500,
    "soldWithinYears": "1",
    "propertyType": "SEMI_DETACHED",
})
for row in client.dataset(sold["defaultDatasetId"]).iterate_items():
    print(row["address"], row["latestTransaction"]["displayPrice"])

branches = client.actor("epicscrapers/rightmove-branch-scraper").call(run_input={
    "branchIds": ["292349"],
})
for b in client.dataset(branches["defaultDatasetId"]).iterate_items():
    print(b["name"], b["email"])

Or with cURL, returning items as CSV:

curl -X POST "https://api.apify.com/v2/acts/epicscrapers~rightmove-sold-listings-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN&format=csv" \
  -H "Content-Type: application/json" \
  -d '{"location": "SW6", "maxItems": 100, "soldWithinYears": "2"}'

Want the same kind of data outside the UK? The Idealista scraper guide covers Spain, Italy and Portugal, and the Subito scraper guide covers Italian classifieds and real estate.

FAQ

Does Rightmove have an API?

Rightmove has feeds for agents uploading their own listings, but no public API for searching sold prices or agent directories. Scraping the public pages is the practical route.

Where does Rightmove sold price data come from?

Rightmove’s house-prices section is based on HM Land Registry records (source: "LR" in the output), combined with Rightmove’s own listing details like bedrooms and photos. Recent sales appear after they’re registered, which can take a few months.

Is it legal to scrape Rightmove?

Both actors read publicly visible pages and don’t log in. Sold-price records are public property data. Branch emails and phone numbers are business contacts, but UK GDPR and PECR still apply when you use them for marketing: have a legitimate interest, keep messages relevant, include an opt-out, and honour unsubscribes. Follow Rightmove’s terms too. This isn’t legal advice.

Can I scrape current Rightmove listings for sale or rent?

These two actors cover sold properties and estate agent branches. They don’t scrape live for-sale or to-rent listings.

How many sold properties can I get per run?

Up to 10,000 per run via maxItems. For bigger areas, split the work by outcode or property type.

Start scraping Rightmove

Try a single outcode with 50 sold listings, check the fields, then switch on transaction history or widen the radius. Run the Rightmove Sold Listings Scraper for sold prices, and the Rightmove Branch Scraper for estate agent contacts.