# Rightmove UK Real Estate Scraper (`nexgendata/rightmove-uk-real-estate-scraper`) Actor Scrape Rightmove property listings — id, address, price (numeric+formatted), bedrooms, bathrooms, property type, sale or rent, agent, branch, photos, location coordinates, listing URL, date added or reduced. UK property investors, comparables analysts, lettings agencies, mortgage brokers. - **URL**: https://apify.com/nexgendata/rightmove-uk-real-estate-scraper.md - **Developed by:** [Stephan Corbeil](https://apify.com/nexgendata) (community) - **Categories:** Real estate, Business - **Stats:** 2 total users, 1 monthly users, 66.7% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 1,000 property listings 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ## 🇬🇧 Rightmove UK Real Estate Scraper — Property Listings & Comps Scrape Rightmove (UK's largest property portal — 60M+ visits / month) for sale or rental listings. Pass either a pre-built Rightmove search URL or a free-text location ("Manchester", "SW11", "Edinburgh") plus filters; get back structured rows with full price, bedroom/bathroom counts, agent details, photos, and exact lat/lon coordinates. Built for **UK property investors** building deal pipelines, **comparables analysts** running CMAs, **lettings agencies** tracking competitor stock, **mortgage and bridging brokers** prospecting active sellers, and **proptech startups** that need clean listing data without scraping infrastructure. ### What you get per listing - `id` — Rightmove's listing ID (stable across pagination) - `transaction_type` — `buy` or `rent` - `channel` — `RES_BUY` or `RES_LET` - `display_address`, `summary` — agent-supplied address line and short blurb - `country_code`, `latitude`, `longitude` — exact coordinates - `bedrooms`, `bathrooms` — counts (numeric) - `property_sub_type`, `property_type_full_description` — e.g. "Apartment" / "2 bedroom apartment for sale" - `tenure` — Freehold / Leasehold / Share of Freehold / null - `let_available_date` — for rent listings - `price_amount`, `price_currency`, `price_frequency` — numeric price + currency code (usually GBP) - `price_display`, `price_qualifier` — "£1,250,000" + "Guide Price" / "Offers in Excess of" / etc. - `added_or_reduced` — "Added on 22/04/2026" / "Reduced on 01/05/2026" - `first_visible_date`, `listing_update_reason`, `listing_update_date` — timestamps for tracking diffs - `branch_id`, `branch_display_name`, `branch_name`, `brand_trading_name` — agent branch metadata - `branch_landing_page_url`, `contact_telephone` — direct lead-back-to-agent fields - `number_of_images`, `number_of_floorplans`, `number_of_virtual_tours` - `main_image_url`, `photos` — main hero + array of photo URLs - `listing_url` — canonical Rightmove URL (use as the source-of-truth link) - `premium_listing`, `featured_property`, `display_status`, `key_features` - `source` — `"rightmove.co.uk"` ### Use cases 1. **Deal sourcing for property investors** — pull every reduction in your target postcodes daily; act on price drops within hours. 2. **Comparables / valuations** — CMA-style analysis on a 0.5-mile radius for any address. 3. **Lettings competitor tracking** — what's available right now in your patch, by which competitor agency, at what price-per-room. 4. **Mortgage and bridging broker prospecting** — fresh-to-market listings = fresh-to-market sellers needing financing. 5. **Proptech AVM training data** — clean structured rows with coordinates feed valuation models. 6. **Local-news and niche property publications** — build a "this week's top reductions in X" feed automatically. ### Quick start Input: ```json { "location": "Manchester", "searchType": "sale", "radius": "0.0", "bedrooms_min": 2, "price_max": 500000, "maxResults": 25 } ```` Or with a pre-built URL: ```json { "searchUrl": "https://www.rightmove.co.uk/property-for-sale/find.html?searchType=SALE&locationIdentifier=REGION%5E87490&radius=0.0&maxPrice=2000000&minBedrooms=2", "maxResults": 50 } ``` Sample output row: ```json { "id": 87968478, "transaction_type": "buy", "display_address": "Elmbridge House, Battersea, Greater London, SW11", "latitude": 51.47873, "longitude": -0.14595, "bedrooms": 1, "bathrooms": 1, "property_sub_type": "Apartment", "property_type_full_description": "1 bedroom apartment for sale", "tenure": "Leasehold", "price_amount": 1250000, "price_currency": "GBP", "price_display": "£1,250,000", "price_qualifier": "Guide Price", "added_or_reduced": "Reduced on 01/05/2026", "branch_display_name": "Park Lord, London", "listing_url": "https://www.rightmove.co.uk/properties/172879748#/?channel=RES_BUY", "source": "rightmove.co.uk" } ``` ### Run via Python (apify-client) ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("nexgendata/rightmove-uk-real-estate-scraper").call( run_input={ "location": "London SW11", "searchType": "sale", "radius": "0.5", "bedrooms_min": 2, "maxResults": 200, } ) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["price_display"], "-", item["display_address"]) ``` ### Run via cURL ```bash curl -X POST "https://api.apify.com/v2/acts/nexgendata~rightmove-uk-real-estate-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"location":"Manchester","searchType":"sale","maxResults":50}' ``` ### Integrations - **Zapier** — fire on each new listing matching your criteria, push to Slack / email / Airtable. - **Make.com** — chain into HubSpot / Pipedrive as new prospect signals. - **n8n** — schedule daily, dedupe by `id`, push into Postgres for analytics. ### Pricing Pay-per-event (PPE): - **Actor start:** $0.00005 (negligible) - **Per listing:** **$0.05** Cost calculator: | Listings returned | Cost | | --- | --- | | 25 (smoke test) | $1.25 | | 100 | $5.00 | | 500 | $25.00 | | 1,000 (full city sweep) | $50.00 | Compare to PropertyData / Lendlord seats at £50–£200/month for similar comps coverage — and those seats don't let you export rows for downstream analytics. ### FAQ **Q: Do I need a Rightmove account or API key?** A: No. The scraper reads the publicly visible search results pages. **Q: Can I scrape rentals?** A: Yes — set `searchType: "rent"`. Rent listings expose extra fields like `let_available_date` and rent frequency. **Q: How do I find a good `searchUrl`?** A: Build the search you want on rightmove.co.uk (filters, radius, bedrooms, price), then copy the resulting URL into `searchUrl`. **Q: Does this include sold prices?** A: No — sold prices come from the Land Registry / "Sold Prices" path. This actor covers the live for-sale and to-rent listings. **Q: How fresh are listings?** A: Live — Rightmove pushes new listings within minutes of agents adding them. Use the `first_visible_date` / `listing_update_date` fields to dedupe vs. your last run. **Q: Will it return 1000 listings every time?** A: Up to your `maxResults` cap, or until pagination ends (Rightmove caps total pages around 1000–1500 for very broad searches; narrow with location/radius/bedrooms to cover fully). **Q: Does this work for commercial property?** A: This actor targets residential. Commercial Rightmove uses a different URL path; ping us if you'd like a commercial variant. ### Related actors - [Yelp Business Scraper](https://apify.com/nexgendata/yelp-scraper) — pair UK property leads with neighbourhood business density / amenities. - [Yellow Pages Scraper](https://apify.com/nexgendata/yellow-pages-scraper) — local business contact data alongside listings. - [USAspending Federal Awards Scraper](https://apify.com/nexgendata/usaspending-federal-awards-scraper) — different domain, same B2B-intel buyer pool. *** Built and maintained by [NexGenData](https://apify.com/nexgendata?fpr=2ayu9b) — affordable, focused web scrapers for B2B data teams. # Actor input Schema ## `searchUrl` (type: `string`): If you already have a Rightmove search you've configured in the browser, paste the URL here. The actor will paginate through it. If supplied, the location/searchType/radius/bedrooms\_min/price\_max fields are ignored. ## `location` (type: `string`): City, neighbourhood, postcode, or region — anything Rightmove's typeahead understands (e.g. 'London', 'Manchester', 'SW11', 'Edinburgh'). Used only when `searchUrl` is empty. ## `searchType` (type: `string`): Either 'sale' (property-for-sale) or 'rent' (property-to-rent). Default: sale. ## `radius` (type: `string`): Radius in miles around the resolved location (0.0 = within the region only; 0.25, 0.5, 1.0, 3.0, 5.0, 10.0, 15.0, 20.0, 30.0, 40.0 are accepted by Rightmove). ## `bedrooms_min` (type: `integer`): Restrict to listings with at least this many bedrooms. Leave blank for any. ## `price_max` (type: `integer`): Cap the price (sale) or monthly rent (rent). Set to 0 or leave blank for no cap. ## `maxResults` (type: `integer`): Maximum number of listings to return (1–1000). Rightmove paginates 24 per page. ## `useResidentialProxy` (type: `boolean`): Recommended. Routes requests through Apify's GB residential proxy to avoid datacenter-IP blocks at Rightmove's CDN. Uncheck only if you've already verified the actor reaches Rightmove from Apify datacenter IPs. ## Actor input object example ```json { "location": "Manchester", "searchType": "sale", "radius": "0.0", "maxResults": 25, "useResidentialProxy": true } ``` # 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 = { "searchUrl": "", "location": "Manchester", "searchType": "sale", "radius": "0.0", "bedrooms_min": 0, "price_max": 0, "maxResults": 25, "useResidentialProxy": true }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/rightmove-uk-real-estate-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchUrl": "", "location": "Manchester", "searchType": "sale", "radius": "0.0", "bedrooms_min": 0, "price_max": 0, "maxResults": 25, "useResidentialProxy": True, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/rightmove-uk-real-estate-scraper").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 '{ "searchUrl": "", "location": "Manchester", "searchType": "sale", "radius": "0.0", "bedrooms_min": 0, "price_max": 0, "maxResults": 25, "useResidentialProxy": true }' | apify call nexgendata/rightmove-uk-real-estate-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/rightmove-uk-real-estate-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Rightmove UK Real Estate Scraper", "description": "Scrape Rightmove property listings — id, address, price (numeric+formatted), bedrooms, bathrooms, property type, sale or rent, agent, branch, photos, location coordinates, listing URL, date added or reduced. UK property investors, comparables analysts, lettings agencies, mortgage brokers.", "version": "0.0", "x-build-id": "Jb8gyEs1GJbTQy0LD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~rightmove-uk-real-estate-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-rightmove-uk-real-estate-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~rightmove-uk-real-estate-scraper/runs": { "post": { "operationId": "runs-sync-nexgendata-rightmove-uk-real-estate-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~rightmove-uk-real-estate-scraper/run-sync": { "post": { "operationId": "run-sync-nexgendata-rightmove-uk-real-estate-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchUrl": { "title": "Pre-built Rightmove search URL (optional)", "type": "string", "description": "If you already have a Rightmove search you've configured in the browser, paste the URL here. The actor will paginate through it. If supplied, the location/searchType/radius/bedrooms_min/price_max fields are ignored." }, "location": { "title": "Location (free text)", "type": "string", "description": "City, neighbourhood, postcode, or region — anything Rightmove's typeahead understands (e.g. 'London', 'Manchester', 'SW11', 'Edinburgh'). Used only when `searchUrl` is empty." }, "searchType": { "title": "Sale or Rent", "enum": [ "sale", "rent" ], "type": "string", "description": "Either 'sale' (property-for-sale) or 'rent' (property-to-rent). Default: sale.", "default": "sale" }, "radius": { "title": "Search radius (miles)", "type": "string", "description": "Radius in miles around the resolved location (0.0 = within the region only; 0.25, 0.5, 1.0, 3.0, 5.0, 10.0, 15.0, 20.0, 30.0, 40.0 are accepted by Rightmove)." }, "bedrooms_min": { "title": "Minimum bedrooms (optional)", "minimum": 0, "maximum": 10, "type": "integer", "description": "Restrict to listings with at least this many bedrooms. Leave blank for any." }, "price_max": { "title": "Maximum price (GBP, optional)", "minimum": 0, "type": "integer", "description": "Cap the price (sale) or monthly rent (rent). Set to 0 or leave blank for no cap." }, "maxResults": { "title": "Max listings", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of listings to return (1–1000). Rightmove paginates 24 per page.", "default": 50 }, "useResidentialProxy": { "title": "Use Apify residential proxy", "type": "boolean", "description": "Recommended. Routes requests through Apify's GB residential proxy to avoid datacenter-IP blocks at Rightmove's CDN. Uncheck only if you've already verified the actor reaches Rightmove from Apify datacenter IPs.", "default": true } } }, "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 } } } } } } } } } } ```