# Duproprio Profile Scraper (`getdataforme/duproprio-profile-scraper`) Actor Extract detailed property listings from Duproprio, including prices, locations, features, and images. This scalable Apify Actor automates data collection for real estate professionals, investors, and analysts, delivering structured JSON output for efficient market research and investment insights. - **URL**: https://apify.com/getdataforme/duproprio-profile-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, Real estate, Lead generation - **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 0 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 ## Duproprio Profile Scraper ### Introduction The Duproprio Profile Scraper is a powerful Apify Actor designed to extract detailed property listings from Duproprio, a leading real estate platform in Canada. It automates the collection of comprehensive data on homes for sale, including pricing, location, features, and seller information, enabling efficient market analysis and research. This tool is ideal for real estate professionals, investors, and analysts seeking reliable, structured data without manual scraping. ### Features - **Comprehensive Data Extraction**: Scrapes key details like price, address, property type, bedrooms, bathrooms, and descriptions from Duproprio listings. - **Geolocation Support**: Includes latitude and longitude for precise mapping and location-based analysis. - **Image and Feature Collection**: Captures property images and unique features such as waterfront access or heating systems. - **High Reliability**: Built on CheerioCrawler for fast, robust scraping with error handling to ensure data accuracy. - **Structured JSON Output**: Delivers clean, machine-readable data for easy integration into databases or analytics tools. - **Scalable and Efficient**: Handles multiple URLs concurrently, supporting large-scale data collection. - **Customizable Inputs**: Accepts a list of start URLs for targeted scraping of specific listings. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | startUrls | array | Yes | An array of URLs to start scraping from. Each URL should point to a Duproprio property listing page. | `[{"url": "https://duproprio.com/fr/estrie/brigham/maison-de-campagne-a-vendre/hab-1492-chemin-magenta-ouest-138193"}]` | ### Example Usage To run the Actor, provide the input parameters in JSON format. Here's an example input: ```json { "startUrls": [ { "url": "https://duproprio.com/fr/estrie/brigham/maison-de-campagne-a-vendre/hab-1492-chemin-magenta-ouest-138193" } ] } ```` The Actor will output a JSON array of scraped property data. Example output: ```json [ { "listingId": "138193", "url": "https://duproprio.com/fr/estrie/brigham/maison-de-campagne-a-vendre/hab-1492-chemin-magenta-ouest-138193", "title": "Maison de campagne à vendre Brigham 5 chambres 2 salles de bain", "price": 600000, "currency": "CAD", "address": { "streetAddress": "1492, chemin Magenta Ouest", "addressLocality": "Brigham", "addressRegion": "QC", "postalCode": "J2K 4A3", "addressCountry": "Canada" }, "geo": { "latitude": "45.27631", "longitude": "-72.82104" }, "propertyType": "Maison-de-campagne", "numberOfRooms": null, "numberOfBedrooms": 5, "numberOfBathroomsTotal": 2, "numberOfFloors": 1, "livingSpaceArea": "1 272 pi² (118.17 m²)", "lotSize": "43 070.71 pi² (4 001.4 m²)", "yearBuilt": null, "description": "Maison à huit côtés de 30x30 plus rallonge (construction 2003) 18.8x28. Très grand terrain bordé par la rivière Yamaska. Pour ceux et celles qui aiment la nature, sans être trop loin des grands centres. Possibilité bi-générationnelle ou loyer.", "features": [ "Bord de l'eau", "Bord de l'eau" ], "images": [ "https://photos.duproprio.com/photos/public/for_sale/200907/138193/facade-maison-de-campagne-brigham-600-587740.jpg" ], "parkingSpaces": "", "heatingSystem": "", "coolingSystem": "", "basement": "", "propertyTax": "", "schoolTax": "", "condoFees": "", "characteristics": {}, "sellerPhone": "450 XXX-XXXX \n \n \n\n 450 XXX-XXXX (Afficher)\n \n \n\n 450 XXX-XXXX (Afficher)\n \n \n\n 450 XXX-XXXX (Afficher)", "scrapedAt": "2026-02-12T11:28:33.262Z" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data on property prices and trends in specific regions for investment decisions. - **Competitive Intelligence**: Monitor competitor listings and pricing strategies in the real estate market. - **Price Monitoring**: Track price changes on targeted properties over time for dynamic analysis. - **Content Aggregation**: Build databases of property listings for real estate websites or apps. - **Academic Research**: Collect data for studies on housing markets, demographics, or urban development. - **Business Automation**: Automate lead generation by extracting seller contact information for outreach. ### Installation and Usage 1. Search for "Duproprio Profile Scraper" 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 of objects, each representing a scraped property listing. Key fields include: - `listingId`: Unique identifier for the listing. - `url`: Original URL of the listing. - `title`: Property title. - `price` and `currency`: Sale price and currency (e.g., CAD). - `address`: Structured address details including street, locality, region, postal code, and country. - `geo`: Latitude and longitude for geolocation. - `propertyType`: Type of property (e.g., Maison-de-campagne). - `numberOfBedrooms`, `numberOfBathroomsTotal`: Room counts. - `livingSpaceArea`, `lotSize`: Size details. - `description`: Full property description. - `features`: Array of property features. - `images`: Array of image URLs. - Additional fields like taxes, fees, and seller phone. - `scrapedAt`: Timestamp of scraping. Data is extracted directly from Duproprio pages and may include null values if information is unavailable. ### 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 ## `startUrls` (type: `array`): URLs to start with. ## Actor input object example ```json { "startUrls": [ { "url": "https://duproprio.com/fr/estrie/brigham/maison-de-campagne-a-vendre/hab-1492-chemin-magenta-ouest-138193" } ] } ``` # Actor output Schema ## `items` (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 = { "startUrls": [ { "url": "https://duproprio.com/fr/estrie/brigham/maison-de-campagne-a-vendre/hab-1492-chemin-magenta-ouest-138193" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/duproprio-profile-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 = { "startUrls": [{ "url": "https://duproprio.com/fr/estrie/brigham/maison-de-campagne-a-vendre/hab-1492-chemin-magenta-ouest-138193" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/duproprio-profile-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 '{ "startUrls": [ { "url": "https://duproprio.com/fr/estrie/brigham/maison-de-campagne-a-vendre/hab-1492-chemin-magenta-ouest-138193" } ] }' | apify call getdataforme/duproprio-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/duproprio-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Duproprio Profile Scraper", "description": "Extract detailed property listings from Duproprio, including prices, locations, features, and images. This scalable Apify Actor automates data collection for real estate professionals, investors, and analysts, delivering structured JSON output for efficient market research and investment insights.", "version": "0.0", "x-build-id": "AywvqhYPamkMbluEp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~duproprio-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-duproprio-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~duproprio-profile-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-duproprio-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~duproprio-profile-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-duproprio-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```