# Zoopla Scraper (`cryptosignals/zoopla-scraper`) Actor - **URL**: https://apify.com/cryptosignals/zoopla-scraper.md - **Developed by:** [Web Data Labs](https://apify.com/cryptosignals) (community) - **Categories:** Real estate, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Zoopla UK Property Scraper Scrape **Zoopla.co.uk** — one of the UK's largest property portals — for properties **for sale** or **to rent** in any UK location. Get clean, structured listing data: price, address, bedrooms, property type, agent name, and more. Useful for property analytics, lead generation, market research, mortgage/letting tools, and AI agents that need real UK property data. ### What you get For every listing in your search: - `listing_id` — Zoopla unique identifier - `title` — property headline - `price` — sale price or rent (per month / per week) - `property_type` — flat, terraced house, detached, studio, etc. - `bedrooms` / `bathrooms` - `address` + `postcode` (when available) - `listing_type` — `for_sale` or `to_rent` - `listing_url` — direct link to the Zoopla listing page - `thumbnail_url` - `agent_name` — listing branch/agent - `description` — short blurb - `scraped_at` — ISO timestamp ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `location` | string | `london` | UK location slug (e.g. `london`, `manchester`, `edinburgh`, `bristol`) | | `listing_type` | enum | `for_sale` | `for_sale` or `to_rent` | | `max_results` | integer | `50` | How many listings to return | Example input: ```json { "location": "manchester", "listing_type": "to_rent", "max_results": 100 } ```` ### Sample output ```json { "listing_id": "65432109", "title": "2 bed flat for sale", "price": "£425,000", "property_type": "Flat", "bedrooms": 2, "bathrooms": 1, "address": "Canary Wharf, London E14", "postcode": "E14", "listing_type": "for_sale", "listing_url": "https://www.zoopla.co.uk/for-sale/details/65432109/", "thumbnail_url": "https://lid.zoocdn.com/u/645/430/65432109_full.jpg", "agent_name": "Foxtons", "description": "Stunning 2-bedroom apartment with river views...", "scraped_at": "2026-05-01T10:15:30.000Z" } ``` ### Pricing **Pay per result** — only pay for listings you actually receive. - **5 free results** per run on the free Apify plan — try it before you buy. - After that, **$0.005 per listing** (activates 2026-05-17). Run a 1,000-listing scrape for around **$5** of compute charges. ### Why Zoopla? Zoopla is the UK's #2 property portal, used by millions of buyers, renters, and agents. It covers nearly every UK postcode and updates listings continuously. If you're building anything UK-property-related, you need this data. ### Tips - Use UK city or town names as the `location` slug (lowercase, hyphenated for multi-word locations like `milton-keynes`). - For best results on rent searches, set `listing_type: "to_rent"`. - Need broader coverage? Combine multiple runs by location. ### Other UK property scrapers Need broader UK property coverage? Try our [Rightmove Scraper](https://apify.com/cryptosignals/rightmove-scraper) too. ### Notes - We respect Zoopla's rate limits — runs are paced conservatively. - Use the data responsibly and in line with applicable laws (GDPR / data-protection rules, terms of use of the source site, etc.). # Actor input Schema ## `location` (type: `string`): UK location slug (e.g. 'london', 'manchester', 'edinburgh'). ## `listing_type` (type: `string`): Properties for sale or to rent. ## `max_results` (type: `integer`): Maximum number of listings to scrape. ## Actor input object example ```json { "location": "london", "listing_type": "for_sale", "max_results": 50 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("cryptosignals/zoopla-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {} # Run the Actor and wait for it to finish run = client.actor("cryptosignals/zoopla-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 '{}' | apify call cryptosignals/zoopla-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=cryptosignals/zoopla-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zoopla Scraper", "version": "0.1", "x-build-id": "jbbLVGCYXCiiQQg25" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/cryptosignals~zoopla-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-cryptosignals-zoopla-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/cryptosignals~zoopla-scraper/runs": { "post": { "operationId": "runs-sync-cryptosignals-zoopla-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/cryptosignals~zoopla-scraper/run-sync": { "post": { "operationId": "run-sync-cryptosignals-zoopla-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "location" ], "properties": { "location": { "title": "Location", "type": "string", "description": "UK location slug (e.g. 'london', 'manchester', 'edinburgh').", "default": "london" }, "listing_type": { "title": "Listing Type", "enum": [ "for_sale", "to_rent" ], "type": "string", "description": "Properties for sale or to rent.", "default": "for_sale" }, "max_results": { "title": "Max Results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of listings to scrape.", "default": 50 } } }, "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 } } } } } } } } } } ```