# Zoopla Propertysaleinfo Spider (`getdataforme/zoopla-propertysaleinfo-spider`) Actor The Zoopla Propertysaleinfo Spider scrapes detailed property sale data from Zoopla for market analysis and competitive intelligence. It offers customizable scraping, proxy support, and scalable data handling. Outputs are in JSON, easily converted to CSV or Excel, with user-friendly setup via Apify. - **URL**: https://apify.com/getdataforme/zoopla-propertysaleinfo-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Other - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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/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 ## Zoopla Propertysaleinfo Spider The Zoopla Propertysaleinfo Spider is a powerful tool designed to scrape property sale information from Zoopla, one of the UK's leading real estate platforms. This Actor allows users to gather comprehensive data on properties for sale, providing valuable insights for market analysis, competitive intelligence, and more. ### Features - **Comprehensive Data Collection**: Extracts detailed property information including photos, prices, features, and descriptions. - **Reliable and Accurate**: Utilizes Apify's robust infrastructure to ensure data accuracy and reliability. - **Customizable Scraping**: Configure URLs and item limits to tailor data extraction to your needs. - **Proxy Support**: Uses residential proxies to avoid IP blocking and ensure seamless data collection. - **Scalable**: Handles large volumes of data efficiently, making it suitable for both small and large-scale projects. - **Easy Integration**: Outputs data in JSON format, easily convertible to CSV or Excel for further analysis. - **User-Friendly Interface**: Simple setup and monitoring through the Apify platform. ### Input Parameters | Parameter | Type | Required | Description | Example | |--------------------|----------|----------|-----------------------------------------------------------------------------|-------------------------------------------------------------------------| | `Urls` | Array | Yes | The URLs to scrape for property information. | `["https://www.zoopla.co.uk/for-sale/property/uk/?branch_id=4876"]` | | `proxyConfiguration` | Object | No | Proxy settings to use during scraping. | `{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}` | | `itemLimit` | Integer | No | Maximum number of items to process. | `20` | ### Example Usage #### Example Input JSON ```json { "Urls": [ "https://www.zoopla.co.uk/for-sale/property/uk/?branch_id=4876&include_sold=true&include_rented=true&pn=1" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }, "itemLimit": 20 } ```` #### Example Output JSON ```json [ { "propertyphotos": [ "https://lid.zoocdn.com/645/430/d9faa760c6d556c5dd92876edd1b3a8c0e9f2be1.jpg:p" ], "price": "Β£220,000", "features": [ "2 beds", "1 bath", "1 reception", "614 sq ft" ], "address": "Fort Hill, Margate CT9", "description": "Lovetts are proud to present this beautifully located Two-Bedroom seaside apartment, just moments from Margate’s iconic beach ...", "agent_logo": "https://st.zoocdn.com/zoopla_static_agent_logo_(768405).png", "contact_info": "https://www.zoopla.co.uk/for-sale/details/contact/72913383/?featured=1&utm_content=featured_listing", "actor_id": "9aTkL3wL2xaxHfuJl", "run_id": "6nvEBHQnz30jiP8tr" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data to understand market trends and property values. - **Competitive Intelligence**: Monitor competitor listings and pricing strategies. - **Price Monitoring**: Track changes in property prices over time. - **Content Aggregation**: Compile property listings for real estate websites or apps. - **Academic Research**: Analyze real estate data for academic studies. - **Business Automation**: Automate data collection for real estate agencies. ### Installation and Usage 1. Search for "Zoopla Propertysaleinfo Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters. 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The output is a JSON array where each object contains: - `propertyphotos`: URLs of property images. - `price`: Property price. - `features`: List of property features such as number of beds, baths, etc. - `address`: Property address. - `description`: Detailed property description. - `agent_logo`: URL of the agent's logo. - `contact_info`: URL for contacting the property agent. - `actor_id` and `run_id`: Identifiers for the actor and run. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## `itemLimit` (type: `integer`): Specifies the maximum number of items to process. ## Actor input object example ```json { "Urls": [ "https://www.zoopla.co.uk/for-sale/property/uk/?branch_id=4876&include_sold=true&include_rented=true&pn=1" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "itemLimit": 20 } ``` # 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 = { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "itemLimit": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/zoopla-propertysaleinfo-spider").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, "itemLimit": 20, } # Run the Actor and wait for it to finish run = client.actor("getdataforme/zoopla-propertysaleinfo-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "itemLimit": 20 }' | apify call getdataforme/zoopla-propertysaleinfo-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/zoopla-propertysaleinfo-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zoopla Propertysaleinfo Spider", "description": "The Zoopla Propertysaleinfo Spider scrapes detailed property sale data from Zoopla for market analysis and competitive intelligence. It offers customizable scraping, proxy support, and scalable data handling. Outputs are in JSON, easily converted to CSV or Excel, with user-friendly setup via Apify.", "version": "0.0", "x-build-id": "eY59DRcEcVxEjRkSm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~zoopla-propertysaleinfo-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-zoopla-propertysaleinfo-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~zoopla-propertysaleinfo-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-zoopla-propertysaleinfo-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~zoopla-propertysaleinfo-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-zoopla-propertysaleinfo-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://www.zoopla.co.uk/for-sale/property/uk/?branch_id=4876&include_sold=true&include_rented=true&pn=1" ], "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "itemLimit": { "title": "Item Limit", "type": "integer", "description": "Specifies the maximum number of items to process.", "default": 20 } } }, "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 } } } } } } } } } } ```