# Centris Canada Real Estate Listings & Broker Leads Scraper (`scrapers_lat/centris-canada-realestate-scraper`) Actor
Scrape Quebec (Canada) property listings from Centris with price in CAD, property type, bedrooms, bathrooms, living area, full address, MLS number, GPS coordinates and the listing broker name, agency and phone. Filter by transaction, city and property type. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/centris-canada-realestate-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Real estate, Lead generation
- **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
## Centris Canada Real Estate Listings & Broker Leads Scraper
> Collect Quebec (Canada) property listings with price in CAD, property type, bedrooms, bathrooms, living area, full address, MLS number, GPS coordinates and the listing broker name, agency and phone. Filter by transaction, city and property type and export clean structured data.
Full listing price, size, features
Broker leads name, agency, phone
JSON / CSV / Excel output formats
### What you get
Each record is one property listing, ready for a CRM, a dashboard or a spreadsheet:
- **mlsNumber**: the listing's MLS reference number
- **category**: `sale` or `rent`
- **propertyType**: house, condo, plex, land, commercial and more
- **price** and **currency**: asking price in CAD
- **address**, **city**, **region**, **postalCode**: full location
- **bedrooms**, **bathrooms**: room counts
- **livingArea**, **lotArea**, **yearBuilt**: size and age
- **potentialGrossRevenue**: for income properties (plexes) where shown
- **brokerName**, **brokerTitle**, **agencyName**, **brokerPhone**: the listing broker contact (a ready sales lead)
- **lat**, **long**: GPS coordinates for mapping
- **listingUrl**: direct link to the listing
- **observedAt**: when the record was collected
### Who is it for
| Use case | Who benefits |
|---|---|
| Lead generation | Agents, mortgage brokers and renovators who want broker contacts |
| Market analysis | Investors tracking prices, inventory and revenue by city and type |
| Real estate tech | Portals and apps that need structured Quebec listing data |
| Research | Analysts studying housing supply, pricing and neighborhoods |
### How to use it
1. Choose a **transaction** (for sale or for rent).
2. Enter a **city or region** in Quebec (for example Montreal, Quebec, Laval or Gatineau).
3. Pick a **property type** or leave it on All.
4. Set **Max Items** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**Which area does it cover?**
Quebec, Canada. Search any Quebec city or region by name and get the listings currently published there.
**Do I get the broker's contact details?**
Yes. Each listing includes the listing broker name, the agency and the phone number when the broker publishes them, so you can use the results as sales leads.
**Can I get only houses or only condos?**
Yes. Use the property type selector to restrict the search to houses, condos, plexes, land or commercial properties, or leave it on All.
**How fresh is the data?**
Listings are read live at run time, so each record reflects what is published at the moment of the run (see observedAt).
### Related scrapers
- [Yellow Pages Canada Business Leads Scraper](https://apify.com/scrapers_lat/yellowpages-canada-scraper)
- [Canada Corporations Registry Scraper](https://apify.com/scrapers_lat/canada-corporations-scraper)
- [CanadaBuys Federal Tenders & Contracts Scraper](https://apify.com/scrapers_lat/canadabuys-tenders-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 Centris. It only accesses publicly available listing data. Use the results in accordance with the source's terms.
# Actor input Schema
## `transaction` (type: `string`):
Whether to collect properties for sale or for rent.
## `cities` (type: `array`):
One or more cities or regions to search in Quebec, Canada. One run searches every entry in the list (for example 'Montreal', 'Quebec', 'Laval', 'Gatineau').
## `propertyType` (type: `string`):
Restrict to a property type, or 'All' for every type.
## `maxListings` (type: `integer`):
Maximum number of listings to collect across all cities in this run.
## Actor input object example
```json
{
"transaction": "sale",
"cities": [
"Montreal",
"Quebec"
],
"propertyType": "all",
"maxListings": 24
}
````
# 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 = {
"transaction": "sale",
"cities": [
"Montreal",
"Quebec"
],
"propertyType": "all",
"maxListings": 24
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/centris-canada-realestate-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 = {
"transaction": "sale",
"cities": [
"Montreal",
"Quebec",
],
"propertyType": "all",
"maxListings": 24,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/centris-canada-realestate-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 '{
"transaction": "sale",
"cities": [
"Montreal",
"Quebec"
],
"propertyType": "all",
"maxListings": 24
}' |
apify call scrapers_lat/centris-canada-realestate-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/centris-canada-realestate-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Centris Canada Real Estate Listings & Broker Leads Scraper",
"description": "Scrape Quebec (Canada) property listings from Centris with price in CAD, property type, bedrooms, bathrooms, living area, full address, MLS number, GPS coordinates and the listing broker name, agency and phone. Filter by transaction, city and property type. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "RSTn2zHurUHvWv8YM"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~centris-canada-realestate-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-centris-canada-realestate-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~centris-canada-realestate-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-centris-canada-realestate-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~centris-canada-realestate-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-centris-canada-realestate-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"transaction": {
"title": "Transaction",
"enum": [
"sale",
"rent"
],
"type": "string",
"description": "Whether to collect properties for sale or for rent.",
"default": "sale"
},
"cities": {
"title": "Cities or regions",
"type": "array",
"description": "One or more cities or regions to search in Quebec, Canada. One run searches every entry in the list (for example 'Montreal', 'Quebec', 'Laval', 'Gatineau').",
"items": {
"type": "string"
}
},
"propertyType": {
"title": "Property type",
"enum": [
"all",
"house",
"condo",
"plex",
"land",
"commercial"
],
"type": "string",
"description": "Restrict to a property type, or 'All' for every type.",
"default": "all"
},
"maxListings": {
"title": "Max Listings To Scrape",
"minimum": 1,
"maximum": 5000,
"type": "integer",
"description": "Maximum number of listings to collect across all cities in this run."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```