# Realtor.ca Canada Home Listings & Agent Contacts Scraper (`scrapers_lat/realtor-ca-listings-scraper`) Actor
Scrape Canadian real-estate listings by city or area: MLS number, price, full address, beds, baths, property type, size, geo-coordinates, description, photos and the listing agent name, phone and brokerage. Filter by price and bedrooms. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/realtor-ca-listings-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Real estate, Lead generation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $17.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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
## Realtor.ca Canada Home Listings & Agent Contacts Scraper
> Scrape Canadian real-estate listings by city or area and get MLS number, price, full address, beds, baths, property type, size, geo-coordinates, photos, description and the listing agent name, phone and brokerage. Clean structured data for lead generation, market research and property analysis.
**๐ฅ [Input](https://apify.com/scrapers_lat/realtor-ca-listings-scraper/input-schema) ยท ๐ค [Output](https://apify.com/scrapers_lat/realtor-ca-listings-scraper/output-schema) ยท ๐ฐ [Pricing](https://apify.com/scrapers_lat/realtor-ca-listings-scraper/pricing) ยท โถ๏ธ [Examples](https://apify.com/scrapers_lat/realtor-ca-listings-scraper/examples)**
Agent & brokerage name, phone, office
Price & address beds, baths, geo
JSON / CSV / Excel output formats
### What you get
Each record is one home listing, ready for a CRM, a dashboard or a spreadsheet:
- **mlsNumber** and **listingUrl**: the MLS reference and a direct link to the listing
- **transactionType**: for sale or for rent
- **price**, **priceFormatted**, **currency**: the asking price in CAD
- **addressText**, **street**, **city**, **province**, **postalCode**: the full address, split into clean columns
- **latitude**, **longitude**: exact map coordinates
- **bedrooms**, **bathrooms**, **propertyType**, **buildingType**, **storiesTotal**: the core home details
- **sizeInterior**, **squareFootage**, **ownershipType**, **parkingType**, **parkingSpaces**: size and features
- **description**: the full listing write-up
- **agentName**, **agentPhone**, **agentPosition**, **agentUrl**: the listing agent contact
- **agent2Name**, **agent2Phone**: the co-listing agent when present
- **brokerageName**, **brokeragePhone**, **brokerageAddress**: the listing office
- **photoCount** and **photos**: the listing image gallery
- **observedAt**: freshness timestamp
### Who is it for
| Use case | Who benefits |
|---|---|
| Lead generation | Agents, mortgage brokers and service providers building agent and brokerage contact lists |
| Market research | Analysts tracking prices, inventory and property types across Canadian cities |
| Property sourcing | Investors and buyers filtering by area, price and bedrooms |
| Dashboards | Builders feeding live listings, prices and geo-coordinates into their own apps |
### How to use it
1. Add one or more **cities or areas** to search (for example `Toronto, Ontario`, `Vancouver, BC`, `Calgary`). One run covers every area in the list.
2. Optionally set the **transaction type** (for sale, for rent or both) and filter by **minimum/maximum price** and **minimum bedrooms**.
3. Set **Max Listings** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.
You are only charged for real listings returned. An empty or failed run costs nothing.
### Frequently Asked Questions
**Which areas can I search?**
Any Canadian city, town, neighbourhood or area. Add several at once and the run collects listings for each, tagging every record with the area that produced it.
**Do I get the listing agent's contact details?**
Yes. Every record includes the listing agent name and phone, their position, the co-listing agent when there is one, and the brokerage name, phone and address.
**Can I filter by price or number of bedrooms?**
Yes. Set a minimum and maximum price and a minimum number of bedrooms, and the filters apply to every area in the run.
**How fresh is the data?**
Listings, prices and agent details are read live at run time, so each record reflects the listing at the moment of the run (see observedAt).
### Related scrapers
- [Centris Canada Real Estate Scraper](https://apify.com/scrapers_lat/centris-canada-realestate-scraper)
- [Yellow Pages Canada Scraper](https://apify.com/scrapers_lat/yellowpages-canada-scraper)
- [Canada Corporations Scraper](https://apify.com/scrapers_lat/canada-corporations-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Realtor.ca, CREA or any real-estate board. It only accesses publicly available listing data. Use the results in accordance with the source's terms.
# Actor input Schema
## `searchQueries` (type: `array`):
One or more Canadian cities, neighbourhoods or areas to search (for example 'Toronto, Ontario', 'Vancouver, BC', 'Calgary'). One run covers every area in the list.
## `maxListings` (type: `integer`):
Maximum number of listings to collect across all areas. Optional.
## `withDetails` (type: `boolean`):
When on, also fetch each listing's full text description. Turn off for faster, listing-level results only.
## `transactionType` (type: `string`):
Return homes for sale, for rent, or both.
## `priceMin` (type: `integer`):
Only listings priced at or above this amount. Optional.
## `priceMax` (type: `integer`):
Only listings priced at or below this amount. Optional.
## `beds` (type: `integer`):
Only listings with at least this many bedrooms. Optional.
## Actor input object example
```json
{
"searchQueries": [
"Toronto, Ontario"
],
"maxListings": 40,
"withDetails": true,
"transactionType": "For Sale"
}
````
# 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 = {
"searchQueries": [
"Toronto, Ontario"
],
"maxListings": 40
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/realtor-ca-listings-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 = {
"searchQueries": ["Toronto, Ontario"],
"maxListings": 40,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/realtor-ca-listings-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchQueries": [
"Toronto, Ontario"
],
"maxListings": 40
}' |
apify call scrapers_lat/realtor-ca-listings-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/realtor-ca-listings-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Realtor.ca Canada Home Listings & Agent Contacts Scraper",
"description": "Scrape Canadian real-estate listings by city or area: MLS number, price, full address, beds, baths, property type, size, geo-coordinates, description, photos and the listing agent name, phone and brokerage. Filter by price and bedrooms. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "OXDaOlVIOtuafCGgq"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~realtor-ca-listings-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-realtor-ca-listings-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~realtor-ca-listings-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-realtor-ca-listings-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~realtor-ca-listings-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-realtor-ca-listings-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"searchQueries": {
"title": "Cities / Areas To Search",
"type": "array",
"description": "One or more Canadian cities, neighbourhoods or areas to search (for example 'Toronto, Ontario', 'Vancouver, BC', 'Calgary'). One run covers every area in the list.",
"default": [
"Toronto, Ontario"
],
"items": {
"type": "string"
}
},
"maxListings": {
"title": "Max Listings To Scrape",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of listings to collect across all areas. Optional."
},
"withDetails": {
"title": "Fetch Full Description",
"type": "boolean",
"description": "When on, also fetch each listing's full text description. Turn off for faster, listing-level results only.",
"default": true
},
"transactionType": {
"title": "Transaction Type",
"enum": [
"For Sale",
"For Rent",
"Both"
],
"type": "string",
"description": "Return homes for sale, for rent, or both.",
"default": "For Sale"
},
"priceMin": {
"title": "Minimum Price (CAD)",
"minimum": 0,
"type": "integer",
"description": "Only listings priced at or above this amount. Optional."
},
"priceMax": {
"title": "Maximum Price (CAD)",
"minimum": 0,
"type": "integer",
"description": "Only listings priced at or below this amount. Optional."
},
"beds": {
"title": "Minimum Bedrooms",
"minimum": 0,
"maximum": 20,
"type": "integer",
"description": "Only listings with at least this many bedrooms. Optional."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```