# Duproprio Search Scraper (`getdataforme/duproprio-search-scraper`) Actor Extract real estate listings from Duproprio effortlessly with this Apify Actor. Perform keyword-based searches to gather structured data on properties, including prices, addresses, photos, and more. Key features: configurable limits, high-reliability scraping, and flexible JSON/CSV exports.... - **URL**: https://apify.com/getdataforme/duproprio-search-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Developer tools, Lead generation, Real estate - **Stats:** 8 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 Search Scraper ### Introduction The Duproprio Search Scraper is a powerful Apify Actor designed to extract real estate listings from Duproprio, a leading Canadian property website. It allows users to scrape property details based on search keywords, providing structured data for analysis, monitoring, or integration into other applications. This tool streamlines data collection from Duproprio, saving time and ensuring reliable access to up-to-date property information. ### Features - **Keyword-Based Search**: Easily specify search terms to target specific properties or locations on Duproprio. - **Structured Data Extraction**: Retrieves comprehensive details including property ID, URL, type, address, price, photos, and more in clean JSON format. - **Configurable Limits**: Set maximum items to control crawl depth and avoid overwhelming the source site. - **High Reliability**: Built on Apify's robust CheerioCrawler for efficient, error-resistant scraping. - **Real-Time Scraping**: Captures the latest listings with timestamps for freshness tracking. - **Export Flexibility**: Supports multiple output formats like JSON, CSV, and Excel for seamless integration. - **Ethical Scraping**: Respects rate limits and includes best practices to minimize impact on Duproprio's servers. ### Input Parameters | Parameter | Type | Required | Description | Example | |--------------|---------|----------|-----------------------------------------------------------------------------|------------------| | searchKeyword | string | Yes | The keywords to search for properties on Duproprio (e.g., city, property type). | "Montreal condo" | | maxItems | integer| No | Maximum number of requests (listings) to scrape per crawl. Defaults to 100. | 50 | ### Example Usage #### Input JSON ```json { "searchKeyword": "Clermont maison", "maxItems": 10 } ```` #### Output JSON ```json [ { "id": "1041845", "url": "/fr/charlevoix/clermont/maison-a-vendre/hab-114-rue-lapointe-1041845", "type": "Maison à un étage et demi", "isRental": false, "address": { "street": "114, rue Lapointe", "city": "Clermont", "cityId": 197, "region": "Charlevoix", "province": "QC" }, "price": { "amount": 269000, "display": "269 000 $", "term": "" }, "primaryPhoto": "https://photos.duproprio.com/photos/public/for_sale/202511/1041845/maison-2-etages-clermont-320-15365227.jpg", "photos": [ { "isPrimary": true, "altText": "114, rue Lapointe, Clermont à vendre", "url": "photos/public/for_sale/202511/1041845/maison-2-etages-clermont-600-15365227.jpg" } ], "builder": null, "showBigOpenHouse": false, "scrapedAt": "2026-02-12T10:42:08.456Z" } ] ``` ### Use Cases - **Market Research**: Analyze property trends, prices, and availability in specific regions for investment decisions. - **Competitive Intelligence**: Monitor competitors' listings or gather data for real estate agencies. - **Price Monitoring**: Track price changes over time for targeted properties. - **Content Aggregation**: Build databases of real estate listings for websites or apps. - **Academic Research**: Collect data for studies on housing markets or urban development. - **Business Automation**: Integrate scraped data into CRM systems or automated reporting tools. ### Installation and Usage 1. Search for "Duproprio Search Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., search keywords and max items). 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 an array of JSON objects, each representing a property listing. Key fields include: - `id`: Unique property identifier. - `url`: Relative URL to the listing on Duproprio. - `type`: Property type (e.g., "Maison à un étage et demi"). - `isRental`: Boolean indicating if it's a rental. - `address`: Object with street, city, region, and province details. - `price`: Object with amount, display string, and term. - `primaryPhoto` and `photos`: URLs and metadata for images. - `scrapedAt`: Timestamp of when the data was scraped. This structured format ensures easy parsing and integration. ### 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! *** ### PART 2: Concise Description Unlock real estate insights with Duproprio Search Scraper! Effortlessly extract property listings from Duproprio using keyword searches, delivering structured data on prices, addresses, photos, and more. Key features include configurable limits, high-reliability scraping, and flexible exports in JSON/CSV. Ideal for market research, price monitoring, competitive analysis, and academic studies. Start scraping today—try it free on Apify! (148 characters) # Actor input Schema ## `searchKeyword` (type: `string`): Enter the search keywords. ## `maxItems` (type: `integer`): Maximum number of requests that can be made by this crawler. ## Actor input object example ```json { "searchKeyword": "any", "maxItems": 100 } ``` # 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 = { "searchKeyword": "any" }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/duproprio-search-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 = { "searchKeyword": "any" } # Run the Actor and wait for it to finish run = client.actor("getdataforme/duproprio-search-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 '{ "searchKeyword": "any" }' | apify call getdataforme/duproprio-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/duproprio-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Duproprio Search Scraper", "description": "Extract real estate listings from Duproprio effortlessly with this Apify Actor. Perform keyword-based searches to gather structured data on properties, including prices, addresses, photos, and more. Key features: configurable limits, high-reliability scraping, and flexible JSON/CSV exports....", "version": "0.0", "x-build-id": "2ZZYnTle6lZg20a3B" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~duproprio-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-duproprio-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~duproprio-search-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-duproprio-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~duproprio-search-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-duproprio-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchKeyword" ], "properties": { "searchKeyword": { "title": "Enter the search keywords", "type": "string", "description": "Enter the search keywords." }, "maxItems": { "title": "Max Requests per Crawl", "type": "integer", "description": "Maximum number of requests that can be made by this crawler.", "default": 100 } } }, "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 } } } } } } } } } } ```