# 🚀 Rightmove Sold Prices Scraper · 5,000 Free Records/Month (`omkar-cloud/rightmove-sold-house-prices-scraper`) Actor

Scrape Rightmove sold house prices (HM Land Registry) for any UK area — address, every past sale with date & price, property type & beds, plus full transaction history per property. $1 per 1,000 records, first 5,000 free every month, no start fee.

- **URL**: https://apify.com/omkar-cloud/rightmove-sold-house-prices-scraper.md
- **Developed by:** [Omkar Cloud](https://apify.com/omkar-cloud) (community)
- **Categories:** Real estate, Automation, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Rightmove Sold House Prices Scraper

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

Every row is an HM Land Registry sold record straight from Rightmove — the address, every past sale of the property with its date and price, the property type and bedrooms — so you can price, value and prospect with real closed-sale figures, not asking prices.

**$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](https://www.trustpilot.com/review/omkar.cloud).

👉 [**Try Rightmove Sold House Prices Scraper free**](https://apify.com/omkar-cloud/rightmove-sold-house-prices-scraper) — your first ~5,000 sold records are Free.

### What can I get

- 🏠 **Sold prices for any UK area** — HM Land Registry records by town, city, region, outcode or postcode, most recent sales first. London alone holds 1,953,152 sold records.
- 💷 **Every past sale of each property** — date, price, tenure and new-build flag for each transaction, newest first
- 🛏️ **Property essentials** — address, property type, bedrooms, bathrooms, floor-plan flag, coordinates, photo & Rightmove link
- 📜 **Full record & matched listing** — % change between sales, outcode & country, data source, plus the Rightmove listing matched to the property with photos, floor plans, nearest stations & advertised dates — for sold records (toggle) or any sold-property URL

### Why Rightmove Sold House Prices Scraper

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

- 🗄️ **Inaccurate, cached, stale data**
- 🧩 **Low-detail data** — one price and a date, never the property's full sale history
- 💸 **Pay more to get the same data** — tiered per-record rates plus a start fee on every run
- 🪦 **Works today, breaks next month** — nobody maintains it

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

### Example: A Sold Property with Full History

```json
{
  "area": "London",
  "id": "42bd91fa-2b51-480d-aa4e-6764e7e3ca73",
  "link": "https://www.rightmove.co.uk/house-prices/details/42bd91fa-2b51-480d-aa4e-6764e7e3ca73",
  "address": "112, Mead Way, Coulsdon CR5 1PH",
  "property_type": "Semi-detached",
  "bedrooms": 2,
  "bathrooms": null,
  "has_floorplan": false,
  "transactions": [
    { "price": { "amount": 225000, "currency": "GBP", "display": "£225,000" }, "date_sold": "2026-05-29", "tenure": "FREEHOLD", "is_new_build": false, "percentage_change": -27 },
    { "price": { "amount": 310000, "currency": "GBP", "display": "£310,000" }, "date_sold": "2007-09-12", "tenure": "FREEHOLD", "is_new_build": false, "percentage_change": 29 },
    { "price": { "amount": 240000, "currency": "GBP", "display": "£240,000" }, "date_sold": "2005-04-05", "tenure": "FREEHOLD", "is_new_build": false, "percentage_change": 34 }
  ],
  "location": { "latitude": 51.30641, "longitude": -0.12572 },
  "image": { "link": "https://media.rightmove.co.uk/property-photo/625f6956c/4021113/625f6956cec6025ae060bbcd62bb6e1a.jpg", "count": 4 },
  "outcode": "CR5",
  "incode": "1PH",
  "country": "ENGLAND",
  "source": "land_registry",
  "listing": {
    "id": 4021113,
    "link": "https://www.rightmove.co.uk/properties/4021113",
    "channel": "sale",
    "is_on_market": false,
    "bedrooms": 2,
    "property_type": "Bungalow",
    "advertised_from": "October 2004",
    "advertised_to": "April 2005",
    "images": [{ "link": "https://media.rightmove.co.uk/property-photo/625f6956c/4021113/625f6956cec6025ae060bbcd62bb6e1a.jpg", "caption": null }],
    "floorplans": [],
    "nearest_stations": [{ "name": "Coulsdon South Station", "types": ["NATIONAL_TRAIN"], "distance_miles": 0.82 }]
  }
}
```

*Trimmed for readability.*

### Get Started with 5,000 Free Records

1. [Hit **Try for Free Button**](https://apify.com/omkar-cloud/rightmove-sold-house-prices-scraper) — the input is pre-filled with the "London" 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, property type, bedrooms, bathrooms, floor-plan flag, coordinates, photo, every past sale with date, price, tenure & new-build flag + Rightmove link |
| **Detailed records** | $2 per 1,000 | Everything above + % change between sales, outcode, incode & country, data source, and the Rightmove listing matched to the property (photos, floor plans, nearest stations, advertised dates, size) — for sold records (toggle) or for any sold-property URL you give |

No start fee — you pay only for the rows you get, and the detailed rate only when the full record actually comes back (a record whose full fetch fails 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**](https://apify.com/omkar-cloud/rightmove-sold-house-prices-scraper)

### Run It from Code

Grab your API token from [Integrations Settings here](https://console.apify.com/settings/integrations) and replace `<YOUR_API_TOKEN>` below.

**Python** (`pip install apify-client`)

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/rightmove-sold-house-prices-scraper").call(run_input={
    "areas": ["NW3"],
    "propertyType": "flat",
    "soldWithinYears": "5",
    "scrapeTransactionHistory": True,
    "maxResultsPerArea": 10,
})
for record in client.dataset(run["defaultDatasetId"]).iterate_items():
    last_sale = record["transactions"][0]
    print(record["address"], last_sale["date_sold"], last_sale["price"]["amount"])
```

**Node.js** (`npm install apify-client`)

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('omkar-cloud/rightmove-sold-house-prices-scraper').call({
    recordUrls: ['https://www.rightmove.co.uk/house-prices/details/42bd91fa-2b51-480d-aa4e-6764e7e3ca73'],
});
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.

[![Message Us on WhatsApp about Rightmove Sold House Prices Scraper](https://raw.githubusercontent.com/omkarcloud/assets/master/images/whatsapp-us.png)](https://api.whatsapp.com/send?phone=918178804274\&text=I%20need%20help%20using%20the%20Rightmove%20Sold%20House%20Prices%20Scraper%20actor.)

[![Ask Us by Email about Rightmove Sold House Prices Scraper](https://raw.githubusercontent.com/omkarcloud/assets/master/images/ask-on-email.png)](mailto:happy.to.help@omkar.cloud?subject=Help%20with%20Rightmove%20Sold%20House%20Prices%20Scraper%20actor\&body=I%20need%20help%20using%20the%20Rightmove%20Sold%20House%20Prices%20Scraper%20actor.)

### Related Actors

- 🏠 [**Rightmove Scraper**](https://apify.com/omkar-cloud/rightmove-scraper) — live UK listings for sale, to rent, new homes & commercial with full details.
- 🏢 [**Rightmove Agents Scraper**](https://apify.com/omkar-cloud/rightmove-agents-scraper) — estate agent branches with phones & listings.

### Popular Actors by Omkar Cloud

- [**Zoopla Scraper**](https://apify.com/omkar-cloud/zoopla-scraper) — Zoopla homes for sale, to rent & new homes with full details
- [**Zoopla Sold House Prices Scraper**](https://apify.com/omkar-cloud/zoopla-sold-house-prices-scraper) — HM Land Registry sold prices from Zoopla, plus value estimates
- [**Zoopla Agents Scraper**](https://apify.com/omkar-cloud/zoopla-agents-scraper) — Zoopla estate agent branches with phones & listings
- [**G2 Product Scraper**](https://apify.com/omkar-cloud/g2-product-scraper) — G2 product details, ratings & AI-found contacts
- [**Website Email Contact Scraper**](https://apify.com/omkar-cloud/website-email-contact-scraper) — emails, phones & socials from any website
- [**AliExpress Product Scraper**](https://apify.com/omkar-cloud/aliexpress-product-scraper) — live product details, SKU variants, stock & shipping
- [**Booking Scraper**](https://apify.com/omkar-cloud/booking-scraper) — Booking.com hotels: prices, ratings, rooms & amenities
- [**Etsy Scraper**](https://apify.com/omkar-cloud/etsy-scraper) — Etsy products: prices, discounts, shops & variations

👉 [**Scrape your first 5,000 sold records free now**](https://apify.com/omkar-cloud/rightmove-sold-house-prices-scraper)

# Actor input Schema

## `areas` (type: `array`):

UK areas to get sold prices for — free text like `London`, `Oxford`, `NW3` or `CR2 9BE`, a Rightmove location identifier like `REGION^87490`, or a pasted rightmove.co.uk house-prices search URL (its embedded filters are applied). Each is scraped separately. Rows carry an `area` field so you can tell areas apart. Leave empty to only scrape the sold-property URLs below.

## `propertyType` (type: `string`):

Only sold properties of this type. Leave on Any for all types.

## `soldWithinYears` (type: `string`):

Only sales within the last N years. Leave on Any time for the full history Rightmove holds.

## `tenure` (type: `string`):

Only freehold or only leasehold sales. Leave on Any for both.

## `recordUrls` (type: `array`):

Rightmove sold-price URLs like `https://www.rightmove.co.uk/house-prices/details/42bd91fa-2b51-480d-aa4e-6764e7e3ca73` or bare record ids like `42bd91fa-2b51-480d-aa4e-6764e7e3ca73` (every sold record's `id`). Always scraped with the full record (billed at the detailed rate). Rows carry an `input_url` field so you can match them back.

## `maxResultsPerArea` (type: `integer`):

Maximum number of sold records to scrape per area (most recent sales first). Use this to control your cost (1,000 records ≈ $1). Rightmove serves at most 1,000 records (40 pages) per search — narrow the area or add filters to reach more. Ignored for sold-property URLs.

## `scrapeTransactionHistory` (type: `boolean`):

When enabled, every sold record is also fetched in full from its Rightmove detail page — every transaction with the % change since the previous sale, outcode, incode & country, data source, and the Rightmove listing matched to the property (photos, floor plans, nearest stations, advertised dates, size) when there is one. Still one dataset row per record, billed once at the detailed rate instead of the standard rate (1,000 detailed records ≈ $2 vs $1 standard). Runs take longer because each record is fetched individually.

## Actor input object example

```json
{
  "areas": [
    "London",
    "Manchester"
  ],
  "propertyType": "",
  "soldWithinYears": "",
  "tenure": "",
  "recordUrls": [
    "https://www.rightmove.co.uk/house-prices/details/42bd91fa-2b51-480d-aa4e-6764e7e3ca73",
    "b81e5a5b-a7fc-4aad-8ca7-e0e15e16d71d"
  ],
  "maxResultsPerArea": 100,
  "scrapeTransactionHistory": false
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "areas": [
        "London",
        "Manchester"
    ],
    "maxResultsPerArea": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("omkar-cloud/rightmove-sold-house-prices-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "areas": [
        "London",
        "Manchester",
    ],
    "maxResultsPerArea": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("omkar-cloud/rightmove-sold-house-prices-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "areas": [
    "London",
    "Manchester"
  ],
  "maxResultsPerArea": 100
}' |
apify call omkar-cloud/rightmove-sold-house-prices-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,omkar-cloud/rightmove-sold-house-prices-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/2z1h4GatLIbDhwN2q/builds/Xo51hmRteFwdX37fu/openapi.json