# UK Sold House Prices - Land Registry Price Paid Data (`devon_gtme/land-registry-price-paid`) Actor Sold house prices for England & Wales from HM Land Registry Price Paid Data. Search by postcode, outcode or town; filter by date, price, type and new-build. Every transaction plus a comps summary (median, mean, min/max) per area. For agents, investors, analysts and valuations. No API key needed. - **URL**: https://apify.com/devon\_gtme/land-registry-price-paid.md - **Developed by:** [Devon Kellar](https://apify.com/devon_gtme) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 records 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use 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 - Land Registry Price Paid Data by Postcode Every residential property sale in **England & Wales**, straight from **HM Land Registry's official Price Paid Data** - the ground truth of what actually sold, where, and for how much. Search by postcode, postcode district ("outcode", e.g. `M21`), or town, and get clean transaction records **plus a ready-made comps summary for each area**. ### Built for comps - **Estate agents pricing a listing** - pull every sale on the street (or in the outcode) for the last 12 months, sorted newest first, with the median right at the top of the summary - **Property investors running the rule over an area** - price band + property-type filters give you exactly the comparable stock; the per-area summary (median, mean, min/max, counts by type) is the back-of-envelope done for you - **Journalists & analysts** - area market reports from the official record, not portal asking prices - **Valuation / AVM models** - ground-truth sold prices with full addresses, tenure and new-build flags, ready for your pipeline ### What you get **One record per transaction:** | Field | Example | |---|---| | `pricePaid` | 285000 | | `transactionDate` | 2026-04-17 | | `paon` / `saon` | 12 / Flat 3 | | `street`, `locality`, `town`, `district`, `county` | HIGH STREET, ..., BOLTON, ... | | `postcode` | BL1 4QR | | `propertyType` | Detached / Semi-detached / Terraced / Flat / Other | | `newBuild` | true / false | | `estateType` | Freehold / Leasehold | | `transactionCategory` | Standard price paid / Additional price paid | | `recordUrl` | Link to the official Land Registry record | **Plus one `summary` record per area** - the comps product: | Field | Example | |---|---| | `area` | M21 | | `transactionCount` | 214 | | `medianPrice` / `meanPrice` | 365000 / 391240 | | `minPrice` / `maxPrice` | 152000 / 1250000 | | `byPropertyType` | { "Terraced": 98, "Semi-detached": 71, ... } | | `latestTransaction` | Newest sale date found - your data-freshness check | Filter the dataset by `recordType` (`transaction` / `summary`), or use the built-in **Transactions** and **Summaries** dataset views. ### Typical usage - **Street/postcode comps:** put full postcodes in `postcodes`, keep `daysBack` at 365 - **Area report:** use an outcode (`M21`, `SW11`) - one line fetches the whole district - **Investor screen:** town + `minPrice`/`maxPrice` + `propertyTypes` (e.g. terraced only) - **New-build premium check:** run twice, with `newBuildOnly` on and off, compare medians **Note on filters:** date and price filters run on the Land Registry server; property-type and new-build filters are applied during processing (the official API can't filter these server-side reliably). Heavily filtered town-wide queries therefore scan more records and take a little longer - narrow the date range or use outcodes to speed them up. The Land Registry back-end also rate-limits and has occasional wobbles; the actor paces itself and retries automatically, so large runs are steady rather than fast. ### ⚠️ Know your data: registration lag Price Paid Data records **completions**, and Land Registry registers them **~4-8 weeks after completion** (some take longer and are backfilled later). The newest sales you see will typically be 1-2 months old - an empty most-recent-month means "not registered yet", not "nothing sold". Check the summary's `latestTransaction` field to see how fresh the data actually is. Monthly updates land around the 20th working day of each month. ### Coverage **England and Wales only.** Scotland has its own register (Registers of Scotland) and Northern Ireland has Land & Property Services - neither is included in Price Paid Data. Excluded from PPD by Land Registry: sales that were never lodged for registration, court-ordered transfers, and some non-market transactions ("Additional price paid" category B covers repossessions, buy-to-let portfolios and transfers to non-private individuals - it's flagged in `transactionCategory` so you can exclude it from comps). Data goes back to **1 January 1995**. ### Export & integrations Results land in an Apify dataset - export **CSV, Excel, JSON**, or connect Google Sheets, Make, Zapier, Slack, and webhooks via Apify integrations. [Schedule](https://docs.apify.com/platform/schedules) monthly runs to keep an area file up to date. ### Data source & licence Data produced by HM Land Registry © Crown copyright and database right 2026. Licensed under the [Open Government Licence v3.0](https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/). Source: [HM Land Registry Price Paid Data](https://landregistry.data.gov.uk/) via the official open-data API. This actor is not affiliated with HM Land Registry. Address data is for personal/non-commercial use per the PPD address-data terms; the price/date/type data is fully open. --- **Need something more custom?** Sold prices joined to EPC energy ratings, planning applications, or current listings; repeat-sale detection; street-level price indexes; or a fully managed comps pipeline - message me via my Apify profile and I'll build it. # Actor input Schema ## `postcodes` (type: `array`): Full postcodes (e.g. 'BL1 4QR') or outcodes (e.g. 'M1', 'SW11') — one summary is produced per entry. Outcodes fetch every sale in the postcode district. Leave empty to search by town instead. ## `town` (type: `string`): Town or city name as it appears in addresses (e.g. 'Bolton', 'York'). Used only when Postcodes is empty. Note: big cities can have tens of thousands of sales per year — set Max Results and filters accordingly. ## `daysBack` (type: `integer`): Fetch sales completed in the last N days. Ignored if explicit dates are set below. Note: Land Registry data lags completion by ~4-8 weeks, so very recent sales won't appear yet. ## `dateFrom` (type: `string`): Explicit start completion date. Overrides Days Back when set. Data goes back to 1995. ## `dateTo` (type: `string`): Explicit end completion date. Defaults to today. ## `minPrice` (type: `integer`): Only include sales at or above this price. ## `maxPrice` (type: `integer`): Only include sales at or below this price. ## `propertyTypes` (type: `array`): Limit to specific property types. Leave empty for all. ## `newBuildOnly` (type: `boolean`): Only include sales of newly built properties. ## `maxResults` (type: `integer`): Maximum transactions to return across all areas (summaries are always produced). ## Actor input object example ```json { "postcodes": [ "BL1 4QR", "M21" ], "daysBack": 365, "newBuildOnly": false, "maxResults": 2000 } ```` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "postcodes": [ "BL1 4QR", "M21" ], "daysBack": 365, "maxResults": 2000 }; // Run the Actor and wait for it to finish const run = await client.actor("devon_gtme/land-registry-price-paid").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "postcodes": [ "BL1 4QR", "M21", ], "daysBack": 365, "maxResults": 2000, } # Run the Actor and wait for it to finish run = client.actor("devon_gtme/land-registry-price-paid").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": [ "BL1 4QR", "M21" ], "daysBack": 365, "maxResults": 2000 }' | apify call devon_gtme/land-registry-price-paid --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=devon_gtme/land-registry-price-paid", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "UK Sold House Prices - Land Registry Price Paid Data", "description": "Sold house prices for England & Wales from HM Land Registry Price Paid Data. Search by postcode, outcode or town; filter by date, price, type and new-build. Every transaction plus a comps summary (median, mean, min/max) per area. For agents, investors, analysts and valuations. No API key needed.", "version": "0.1", "x-build-id": "4etT8hXgK4jOEpiRT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/devon_gtme~land-registry-price-paid/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-devon_gtme-land-registry-price-paid", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/devon_gtme~land-registry-price-paid/runs": { "post": { "operationId": "runs-sync-devon_gtme-land-registry-price-paid", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/devon_gtme~land-registry-price-paid/run-sync": { "post": { "operationId": "run-sync-devon_gtme-land-registry-price-paid", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "postcodes": { "title": "Postcodes / Outcodes", "type": "array", "description": "Full postcodes (e.g. 'BL1 4QR') or outcodes (e.g. 'M1', 'SW11') — one summary is produced per entry. Outcodes fetch every sale in the postcode district. Leave empty to search by town instead.", "items": { "type": "string" } }, "town": { "title": "Town / City", "type": "string", "description": "Town or city name as it appears in addresses (e.g. 'Bolton', 'York'). Used only when Postcodes is empty. Note: big cities can have tens of thousands of sales per year — set Max Results and filters accordingly." }, "daysBack": { "title": "Days Back", "minimum": 1, "maximum": 14600, "type": "integer", "description": "Fetch sales completed in the last N days. Ignored if explicit dates are set below. Note: Land Registry data lags completion by ~4-8 weeks, so very recent sales won't appear yet.", "default": 365 }, "dateFrom": { "title": "Date From (YYYY-MM-DD)", "type": "string", "description": "Explicit start completion date. Overrides Days Back when set. Data goes back to 1995." }, "dateTo": { "title": "Date To (YYYY-MM-DD)", "type": "string", "description": "Explicit end completion date. Defaults to today." }, "minPrice": { "title": "Min Price (£)", "minimum": 0, "type": "integer", "description": "Only include sales at or above this price." }, "maxPrice": { "title": "Max Price (£)", "minimum": 0, "type": "integer", "description": "Only include sales at or below this price." }, "propertyTypes": { "title": "Property Types", "type": "array", "description": "Limit to specific property types. Leave empty for all.", "items": { "type": "string", "enum": [ "detached", "semi-detached", "terraced", "flat-maisonette", "other" ], "enumTitles": [ "Detached", "Semi-detached", "Terraced", "Flat / maisonette", "Other" ] } }, "newBuildOnly": { "title": "New Builds Only", "type": "boolean", "description": "Only include sales of newly built properties.", "default": false }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum transactions to return across all areas (summaries are always produced).", "default": 2000 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```