# Toronto Real Estate Scraper — Realtor.ca & Zolo (`aurumworks/realestate-toronto`) Actor Scrape Toronto property listings from Realtor.ca and Zolo. Get prices in CAD, addresses, bedrooms, bathrooms, property types, and MLS numbers. Filter by neighborhood, price range, and listing type. Canada's top property data extractor. - **URL**: https://apify.com/aurumworks/realestate-toronto.md - **Developed by:** [Aryan Saxena](https://apify.com/aurumworks) (community) - **Categories:** Real estate, Integrations, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $7.00 / 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 ## Toronto Real Estate Scraper — Realtor.ca & Zolo Listings **Scrape Toronto and GTA property listings from Realtor.ca and Zolo.** Get prices in CAD, addresses, bedrooms, bathrooms, square footage, MLS numbers, property types, and days on market. Filter by neighborhood, price range, bedrooms, and property type. Realtor.ca is Canada's official MLS listing portal — this actor gives you structured access to its Toronto listings alongside Zolo data. ### Why use Toronto Real Estate Scraper? - **GTA coverage** — 28 neighborhoods mapped across Toronto and the Greater Toronto Area - **Two major platforms** — Realtor.ca (official MLS) and Zolo combined - **MLS numbers** — extracts MLS® listing numbers for cross-referencing - **Smart filtering** — neighborhood, price, bedrooms, and property type - **Days on market** — see how long listings have been active - **GTA suburbs** — covers Mississauga, Markham, Richmond Hill, Vaughan, and Brampton ### How to scrape Toronto property data 1. Click **Try for free** on this page 2. Select **sale** or **rent** 3. Optionally enter a neighborhood (e.g. "Downtown", "North York", "Liberty Village") 4. Set price range and bedroom filters if needed 5. Click **Start** and wait for results 6. Download as JSON, CSV, or Excel ### Input | Field | Type | Description | Default | |-------|------|-------------|---------| | Listing Type | string | sale or rent | sale | | Neighborhood | string | Toronto area name | Downtown Toronto | | Min Price | integer | Minimum price (CAD) | — | | Max Price | integer | Maximum price (CAD) | — | | Min Bedrooms | integer | Minimum bedrooms | — | | Property Type | string | all, condo, house, townhouse, semi-detached, detached | all | | Max Results | integer | Maximum listings to scrape | 100 | ### Supported neighborhoods **Toronto**: Downtown, North York, Scarborough, Etobicoke, York, East York, Midtown, The Annex, Liberty Village, King West, Queen West, Leslieville, The Beaches, High Park, Roncesvalles, Junction, Parkdale, Cabbagetown, St. Lawrence, Distillery District, Harbourfront, Yorkville **GTA Suburbs**: Mississauga, Markham, Richmond Hill, Vaughan, Brampton ### Output ```json { "city": "Toronto", "platform": "realtor.ca", "currency": "CAD", "listingType": "sale", "price": "$749,000", "address": "25 Carlton Street, Unit 1205", "neighborhood": "Downtown", "bedrooms": "1+1", "bathrooms": "1", "sqft": "620", "propertyType": "Condo", "mlsNumber": "C1234567", "daysOnMarket": "12", "url": "https://www.realtor.ca/real-estate/12345678/...", "imageUrl": "https://..." } ```` ### Data fields | Field | Description | |-------|-------------| | price | Listing price in CAD | | address | Property address | | neighborhood | Toronto neighborhood or GTA suburb | | bedrooms | Bedrooms (supports "2+1" den format) | | bathrooms | Number of bathrooms | | sqft | Square footage | | propertyType | Condo, House, Townhouse, Semi-Detached, Detached | | mlsNumber | MLS® listing number | | daysOnMarket | Days since listing was posted | | platform | realtor.ca or zolo.ca | | url | Direct link to the listing | ### How much does it cost? A typical run scraping 100 listings costs about **$0.15–$0.30** in platform usage. ### Tips - **Realtor.ca has the most listings** since it's the official MLS portal - **Use Zolo for additional data** — it sometimes shows listings not yet on Realtor.ca - **Track the market**: schedule weekly runs to monitor price trends in your target neighborhoods - **MLS cross-reference**: use extracted MLS numbers to look up detailed listing info ### FAQ **Does this cover areas outside Toronto?** Yes — the GTA suburbs (Mississauga, Markham, Richmond Hill, Vaughan, Brampton) are supported. **What does "2+1" bedrooms mean?** In Toronto real estate, "+1" means a den or flex room that can be used as an extra bedroom. "2+1" = 2 bedrooms plus a den. **I found a bug or have a feature request.** Please open an issue in the Issues tab. # Actor input Schema ## `listingType` (type: `string`): Type of listing to scrape — sale or rent ## `neighborhood` (type: `string`): Toronto area (e.g. Downtown, North York, Scarborough, Liberty Village) ## `minPrice` (type: `integer`): Minimum listing price in CAD ## `maxPrice` (type: `integer`): Maximum listing price in CAD ## `minBeds` (type: `integer`): Minimum number of bedrooms ## `propertyType` (type: `string`): Filter by property type ## `maxResults` (type: `integer`): Maximum number of listings to scrape ## Actor input object example ```json { "listingType": "sale", "propertyType": "all", "maxResults": 100 } ``` # Actor output Schema ## `results` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("aurumworks/realestate-toronto").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("aurumworks/realestate-toronto").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 aurumworks/realestate-toronto --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aurumworks/realestate-toronto", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Toronto Real Estate Scraper — Realtor.ca & Zolo", "description": "Scrape Toronto property listings from Realtor.ca and Zolo. Get prices in CAD, addresses, bedrooms, bathrooms, property types, and MLS numbers. Filter by neighborhood, price range, and listing type. Canada's top property data extractor.", "version": "0.1", "x-build-id": "uSODOl42w8aduLvxD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aurumworks~realestate-toronto/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aurumworks-realestate-toronto", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aurumworks~realestate-toronto/runs": { "post": { "operationId": "runs-sync-aurumworks-realestate-toronto", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aurumworks~realestate-toronto/run-sync": { "post": { "operationId": "run-sync-aurumworks-realestate-toronto", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "listingType": { "title": "Listing Type", "enum": [ "sale", "rent" ], "type": "string", "description": "Type of listing to scrape — sale or rent", "default": "sale" }, "neighborhood": { "title": "Neighborhood", "type": "string", "description": "Toronto area (e.g. Downtown, North York, Scarborough, Liberty Village)" }, "minPrice": { "title": "Min Price (CAD)", "type": "integer", "description": "Minimum listing price in CAD" }, "maxPrice": { "title": "Max Price (CAD)", "type": "integer", "description": "Maximum listing price in CAD" }, "minBeds": { "title": "Min Bedrooms", "minimum": 0, "maximum": 10, "type": "integer", "description": "Minimum number of bedrooms" }, "propertyType": { "title": "Property Type", "enum": [ "all", "condo", "house", "townhouse", "semi-detached", "detached" ], "type": "string", "description": "Filter by property type", "default": "all" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of listings to scrape", "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 } } } } } } } } } } ```