# RE/MAX Canada Scraper — Real Estate Listings & Property Data (`vladignatyev/remax-ca-scraper`) Actor Scrape RE/MAX Canada (remax.ca) real estate listings into clean JSON, CSV or Excel. Extract Canadian property data — price, beds, baths, address, property type, agent, MLS and geo — for homes for sale and rent in every province. A real estate dataset for investors, analysts and lead generation. - **URL**: https://apify.com/vladignatyev/remax-ca-scraper.md - **Developed by:** [Vladimir Ignatev](https://apify.com/vladignatyev) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 ## RE/MAX Canada Scraper — Real Estate Listings & Property Data Scrape **RE/MAX Canada (remax.ca)** property listings into clean JSON, CSV or Excel — price, beds, baths, size, address, brokerage, MLS number and geo-coordinates for homes for sale, for rent and new homes across Canada. ### What you get | Field | Notes | |-------|-------| | `id` / `mls` | RE/MAX / MLS listing identifier | | `url` | Direct listing link | | `category` | `sale` / `rent` / `new-home` (which sitemap) | | `transactionType` | "For Sale" / "For Rent" as labelled | | `address`, `city`, `province`, `postalCode`, `country` | Location | | `price`, `priceUnit` | Numeric CAD price; `month` for rentals, else `total` | | `beds`, `baths` | | | `sizeSqft`, `sizeSqm` | Floor size (sqm converted from sqft) | | `propertyType` | House / Condo / Townhouse / … (falls back to schema.org type) | | `agentName`, `officeName`, `officePhone` | Listing agent + brokerage | | `lat`, `lng` | Coordinates | | `mainImage`, `imagesCount` | Photos | | `datePosted`, `description` | From listing structured data | | `scrapedAt`, `source` | Run metadata | ### Input ```json { "categories": ["sale"], "provinces": ["on", "bc"], "maxItems": 500 } ```` - **categories** — `sale`, `rent`, `new-home`. - **provinces** — optional two-letter codes (`on`, `bc`, `ab`, …) as in remax.ca URLs. Empty = all. `qc` (Quebec) is excluded — robots-disallowed. - **maxItems** — stop after this many listings. - **proxyConfiguration** — residential Canada proxy recommended. ### How it works RE/MAX disallows its search pages (`/find-real-estate*`) and `?page=` pagination in robots.txt, but **publishes per-category listing sitemaps**. So this actor is sitemap-driven: 1. Fetch the category sitemap index → child sitemaps (~50k URLs each). 2. Collect listing URLs (filtered by province, skipping `/qc`) up to `maxItems`, advancing through child sitemaps only as needed. 3. Fetch each listing detail page and read the Next.js app-router RSC stream (`self.__next_f.push(...)`) — reassembled and brace-matched to pull the listing record — plus the `RealEstateListing` JSON-LD block for date/description/images. The page's own listing is matched by URL among the "similar listings" on the page. Built with the Apify SDK + CheerioCrawler. Public listing pages only; respects robots.txt. # Actor input Schema ## `categories` (type: `array`): Which RE/MAX Canada sitemaps to crawl. ## `provinces` (type: `array`): Two-letter province codes to keep, as they appear in remax.ca URLs, e.g. on, bc, ab, mb, sk, ns, nb, pe, nl. Leave empty for all. Quebec (qc) is excluded — robots-disallowed. ## `maxItems` (type: `integer`): Stop after this many listings. ## `proxyConfiguration` (type: `object`): Residential Canada proxy recommended. ## Actor input object example ```json { "categories": [ "sale" ], "provinces": [], "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "CA" } } ``` # Actor output Schema ## `listings` (type: `string`): All listings scraped in this run, as dataset items. ## `listingsCsv` (type: `string`): Same dataset, ready to open in Excel / Google Sheets. ## `datasetInConsole` (type: `string`): Browse the results table in the UI. # 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("vladignatyev/remax-ca-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("vladignatyev/remax-ca-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 vladignatyev/remax-ca-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vladignatyev/remax-ca-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "RE/MAX Canada Scraper — Real Estate Listings & Property Data", "description": "Scrape RE/MAX Canada (remax.ca) real estate listings into clean JSON, CSV or Excel. Extract Canadian property data — price, beds, baths, address, property type, agent, MLS and geo — for homes for sale and rent in every province. A real estate dataset for investors, analysts and lead generation.", "version": "0.1", "x-build-id": "FD9n8UMJnPUi9UQcd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vladignatyev~remax-ca-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vladignatyev-remax-ca-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/vladignatyev~remax-ca-scraper/runs": { "post": { "operationId": "runs-sync-vladignatyev-remax-ca-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/vladignatyev~remax-ca-scraper/run-sync": { "post": { "operationId": "run-sync-vladignatyev-remax-ca-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "categories": { "title": "Categories", "type": "array", "description": "Which RE/MAX Canada sitemaps to crawl.", "items": { "type": "string", "enum": [ "sale", "rent", "new-home" ], "enumTitles": [ "For sale", "For rent", "New homes" ] }, "default": [ "sale" ] }, "provinces": { "title": "Provinces (optional filter)", "type": "array", "description": "Two-letter province codes to keep, as they appear in remax.ca URLs, e.g. on, bc, ab, mb, sk, ns, nb, pe, nl. Leave empty for all. Quebec (qc) is excluded — robots-disallowed.", "default": [], "items": { "type": "string" } }, "maxItems": { "title": "Max items", "type": "integer", "description": "Stop after this many listings.", "default": 100 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Residential Canada proxy recommended.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "CA" } } } }, "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 } } } } } } } } } } ```