# UK Sold House Prices (HM Land Registry, official) (`plotbench/uk-sold-property-prices`) Actor

Every recorded sale for any UK postcode (England & Wales) from HM Land Registry Price Paid Data: price, date, address, property type, new-build flag. Official open data, updated monthly, no key.

- **URL**: https://apify.com/plotbench/uk-sold-property-prices.md
- **Developed by:** [Plotbench Studio](https://apify.com/plotbench) (community)
- **Categories:** Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 sale record extracteds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## UK Sold House Prices (HM Land Registry, official)

Every recorded property sale for any full UK postcode (England & Wales), straight from **HM Land Registry's official Price Paid Data** — price, date, full address, property type, tenure and new-build flag, as a clean flat dataset. Official open data, updated monthly by HM Land Registry, **no API key**.

Built for anyone who needs sold-price evidence as data:

- **Property investors & sourcing agents** — comparable-sales evidence for target streets, in a spreadsheet-ready shape.
- **Estate agents & valuers** — instant comps for appraisals and vendor presentations.
- **PropTech / AVM builders** — the ground-truth transaction layer for England & Wales.
- **Researchers & journalists** — verified transaction data with tenure and new-build detail.

### Input

```json
{
    "postcodes": ["SE1 9SG", "M4 5BD"],
    "fromDate": "2015-01-01",
    "minPrice": 100000,
    "maxRecordsPerPostcode": 500
}
```

Date range (`fromDate`/`toDate`) and price range (`minPrice`/`maxPrice`) are applied server-side by the Land Registry API — you only pay for the records you actually want.

### Output (one row per recorded sale)

```json
{
    "transactionId": "7011B10A-41CA-8ED6-E053-6B04A8C075C1",
    "pricePaid": 1335000,
    "transactionDate": "2018-05-07",
    "postcode": "SE1 9SG",
    "paon": "8",
    "street": "LONDON BRIDGE STREET",
    "town": "LONDON",
    "district": "SOUTHWARK",
    "county": "GREATER LONDON",
    "propertyType": "other",
    "estateType": "Leasehold",
    "newBuild": false,
    "transactionCategory": "Additional price paid transaction",
    "recordStatus": "Add"
}
```

The linked-data API's nested RDF structure is flattened to the table above; dates are normalised to ISO `YYYY-MM-DD`.

### Pricing (pay per event)

| Event | Price |
|---|---|
| Actor start | $0.02 per run |
| Sale record extracted | $0.001 per record |

A 10-postcode comparables run (~500 sales) costs about **$0.52**.

### Scheduling & integrations

HM Land Registry updates Price Paid Data monthly (new month published around the 20th working day). Schedule a monthly run per postcode list and pipe new rows to Sheets/Slack/webhooks via Apify integrations.

### Fair use & data sources

This actor consumes HM Land Registry's **official, documented, keyless linked-data API** (landregistry.data.gov.uk). Price Paid Data is Crown copyright, licensed under the **Open Government Licence v3.0**; address data within PPD carries the Land Registry's published re-use conditions for derived address data — if you republish raw address-level data commercially, read HM Land Registry's PPD licensing note. The actor paginates politely (300 ms delay, exponential backoff). No websites are scraped.

### Limitations (told straight)

- **England & Wales only** (Scotland and Northern Ireland have separate registers not covered by PPD).
- Postcode matching is exact full-postcode (e.g. "SE1 9SG"), per the underlying API. District-level pulls: run multiple postcodes.
- PPD excludes some transaction types by design (e.g. court-ordered transfers, right-to-buy discounts are categorised separately) and new sales appear on the Land Registry's monthly publication lag, not on completion day.

# Actor input Schema

## `postcodes` (type: `array`):

Full UK postcodes (England & Wales), e.g. "SE1 9SG". One dataset row per recorded sale.

## `fromDate` (type: `string`):

Only include sales on or after this date.

## `toDate` (type: `string`):

Only include sales on or before this date.

## `minPrice` (type: `integer`):

Only include sales at or above this price.

## `maxPrice` (type: `integer`):

Only include sales at or below this price.

## `maxRecordsPerPostcode` (type: `integer`):

Stop after this many sale records per postcode (pagination is automatic).

## Actor input object example

```json
{
  "postcodes": [
    "SE1 9SG",
    "M4 5BD"
  ],
  "maxRecordsPerPostcode": 500
}
```

# 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 = {
    "postcodes": [
        "SE1 9SG",
        "M4 5BD"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("plotbench/uk-sold-property-prices").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 = { "postcodes": [
        "SE1 9SG",
        "M4 5BD",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("plotbench/uk-sold-property-prices").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "postcodes": [
    "SE1 9SG",
    "M4 5BD"
  ]
}' |
apify call plotbench/uk-sold-property-prices --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=plotbench/uk-sold-property-prices",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Io6xHxGBobkmBukr7/builds/qh8B07UEfI95kyXjn/openapi.json