# Properstar Property Scraper (`shahidirfan/properstar-property-scraper`) Actor Scrape Properstar real estate listings instantly. Extract property data including prices, descriptions, amenities & market info. Perfect for RE market research, investment analysis, portfolio tracking & competitive intelligence. - **URL**: https://apify.com/shahidirfan/properstar-property-scraper.md - **Developed by:** [Shahid Irfan](https://apify.com/shahidirfan) (community) - **Categories:** Real estate, Developer tools, Agents - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 1 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 ## Properstar Property Scraper Extract property listings from Properstar with structured, ready-to-use data for market research, lead generation, monitoring, and analytics workflows. ### Features - **Multi-URL extraction** — Scrape one or multiple Properstar result URLs in one run. - **Pagination support** — Collect data page-by-page with configurable limits. - **Project and listing coverage** — Collect both classic listings and project records. - **Clean dataset output** — Records are saved without null/empty fields. - **Image gallery URLs** — `pictures` contains only image URLs from the search API response. ### Use Cases #### Market Research Track asking prices, property types, and area-level trends across locations. #### Lead Intelligence Build fresh datasets of relevant properties for sales and outreach teams. #### Monitoring Run scheduled scraping to detect new listings, changes, and drops in price. #### BI and Reporting Export structured data into dashboards, reports, and portfolio tracking systems. --- ### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `urls` | Array | No | `["https://www.properstar.com.ng/portugal/buy/apartment-house"]` | One or more Properstar search URLs. | | `results_wanted` | Integer | No | `20` | Maximum number of records to save. | | `max_pages` | Integer | No | `3` | Maximum pages to process per URL. | | `proxyConfiguration` | Object | No | — | Optional proxy settings for browser sessions. | --- ### Output Data Each dataset item can include: | Field | Type | Description | |-------|------|-------------| | `id` | Integer | Properstar item ID | | `result_type` | String | `listing` or `project` | | `automatic_title` | String | Main listing/project title | | `price_original` | Number | Original price value | | `price_original_currency` | String | Original price currency | | `city` | String | City name | | `country_iso` | String | ISO country code | | `property_type` | String | Property type | | `bedrooms` | Integer | Bedrooms count | | `bathrooms` | Integer | Bathrooms count | | `area_living` | Number | Living area | | `publication_date` | String | Publish timestamp | | `pictures` | Array | List of image URLs only | | `url` | String | Listing/project URL | | `source_url` | String | Source search URL | --- ### Usage Examples #### Basic URL Scrape ```json { "urls": [ "https://www.properstar.com.ng/portugal/buy/apartment-house" ], "results_wanted": 20, "max_pages": 3 } ```` #### Multiple URLs ```json { "urls": [ "https://www.properstar.com.ng/portugal/buy/apartment-house", "https://www.properstar.com.ng/portugal/lisbon-district/buy/apartment-house?p=2" ], "results_wanted": 120, "max_pages": 4 } ``` #### Higher Throughput Run ```json { "urls": [ "https://www.properstar.com.ng/portugal/buy/apartment-house" ], "results_wanted": 500, "max_pages": 10 } ``` *** ### Sample Output ```json { "source_url": "https://www.properstar.com.ng/portugal/buy/apartment-house", "search_id": 1281022695, "page": 1, "position": 1, "result_type": "listing", "id": 112264559, "url": "https://www.properstar.com.ng/listing/112264559", "automatic_title": "House for sale in Arco da Calheta, Portugal", "property_type": "House", "city": "Arco da Calheta", "country_iso": "PT", "price_original": 4500000, "price_original_currency": "EUR", "bedrooms": 5, "bathrooms": 5, "area_living": 379, "pictures": [ "https://files-api.properstar.com/api/v2/files/example-id-1/1", "https://files-api.properstar.com/api/v2/files/example-id-2/1" ], "publication_date": "2026-05-12T12:00:00" } ``` *** ### Tips for Best Results #### Start With Known Working URLs - Use direct Properstar result pages. - If possible, start with country/city pages first. #### Control Run Size - Keep `results_wanted` low while testing. - Increase gradually for production runs. #### Pagination Strategy - Use `max_pages` to control runtime. - For deeper runs, schedule multiple jobs with segmented URLs. #### Network Stability - Keep proxy enabled for consistent performance. - Retry with smaller batches if a target route is slow. *** ### Integrations Connect your data with: - **Google Sheets** — Build live property trackers - **Airtable** — Create searchable listing databases - **Looker Studio / BI tools** — Build dashboards - **Webhooks** — Send updates into custom pipelines - **Make** — Automate downstream actions - **Zapier** — Connect listings to CRM and alerts #### Export Formats - **JSON** — Best for APIs and developers - **CSV** — Spreadsheet and quick filtering - **Excel** — Reporting and sharing - **XML** — Legacy integrations *** ### Frequently Asked Questions #### Can I scrape multiple regions in one run? Yes. Add all target URLs to `urls`. #### Does it support pagination? Yes. Use `max_pages` to control page depth per URL. #### Why are there no null fields in output? The actor saves cleaned records and skips empty/null values. #### Do I need detail-page requests to get images? No. The actor collects image gallery URLs directly from search results. #### Can I limit data for faster runs? Yes. Lower `results_wanted` and `max_pages`. *** ### Support For issues or feature requests, use Apify run logs and actor input/output snapshots to identify the failing URL pattern, then update inputs accordingly. #### Resources - [Apify Documentation](https://docs.apify.com/) - [Apify API Reference](https://docs.apify.com/api/v2) - [Apify Scheduling](https://docs.apify.com/platform/schedules) *** ### Legal Notice This actor is designed for legitimate data collection and analysis. You are responsible for complying with website terms, local laws, and all applicable data-use regulations. # Actor input Schema ## `urls` (type: `array`): One or more Properstar search URLs to scrape. ## `results_wanted` (type: `integer`): Maximum number of records to save. ## `max_pages` (type: `integer`): Maximum number of pages to fetch per URL. ## `proxyConfiguration` (type: `object`): Proxy settings for browser sessions. ## Actor input object example ```json { "urls": [ "https://www.properstar.com.ng/portugal/buy/apartment-house" ], "results_wanted": 20, "max_pages": 3 } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "urls": [ "https://www.properstar.com.ng/portugal/buy/apartment-house" ], "results_wanted": 20, "max_pages": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("shahidirfan/properstar-property-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 = { "urls": ["https://www.properstar.com.ng/portugal/buy/apartment-house"], "results_wanted": 20, "max_pages": 3, } # Run the Actor and wait for it to finish run = client.actor("shahidirfan/properstar-property-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 '{ "urls": [ "https://www.properstar.com.ng/portugal/buy/apartment-house" ], "results_wanted": 20, "max_pages": 3 }' | apify call shahidirfan/properstar-property-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=shahidirfan/properstar-property-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Properstar Property Scraper", "description": "Scrape Properstar real estate listings instantly. Extract property data including prices, descriptions, amenities & market info. Perfect for RE market research, investment analysis, portfolio tracking & competitive intelligence.", "version": "0.0", "x-build-id": "qF9q20fDv79Q0GZW2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/shahidirfan~properstar-property-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-shahidirfan-properstar-property-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/shahidirfan~properstar-property-scraper/runs": { "post": { "operationId": "runs-sync-shahidirfan-properstar-property-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/shahidirfan~properstar-property-scraper/run-sync": { "post": { "operationId": "run-sync-shahidirfan-properstar-property-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": { "urls": { "title": "URLs", "type": "array", "description": "One or more Properstar search URLs to scrape.", "items": { "type": "string" } }, "results_wanted": { "title": "Results wanted", "minimum": 1, "type": "integer", "description": "Maximum number of records to save.", "default": 20 }, "max_pages": { "title": "Max pages per URL", "minimum": 1, "type": "integer", "description": "Maximum number of pages to fetch per URL.", "default": 3 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings for browser sessions." } } }, "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 } } } } } } } } } } ```