# Centris Property Listings Extractor (`kawsar/centris-property-listings-extractor`) Actor

Centris property listings extractor that pulls price, address, MLS number, bedrooms, bathrooms, and photos from any Centris search page, so you can build local real estate datasets fast.

- **URL**: https://apify.com/kawsar/centris-property-listings-extractor.md
- **Developed by:** [Kawsar](https://apify.com/kawsar) (community)
- **Categories:** Real estate, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Property Listings Extractor

Turn any Centris search into structured data. Give this actor the URL of a Centris search results page and it pages through the whole result set for you, returning one clean row per property: price, address, MLS number, property type, bedrooms, bathrooms, land area, the direct listing link, and the main photo.

No copy-pasting, no clicking through result pages. Point it at a search, set how many listings you want, and export the results as JSON, CSV, or Excel.

### What it does

Centris is the main real estate listing service for Québec, run by the province's real estate boards. When you search there (say, houses for sale in Montréal under $700k), the results come back 20 at a time across many pages. This actor opens your search in a real browser, walks through the pages, and hands you the data behind every listing in a format you can actually work with.

Set **Max items** to 500 and it collects 500 listings, not just the first page.

### Data you get for each listing

| Field | Description |
| --- | --- |
| `mlsNumber` | The Centris/MLS reference number, unique per listing |
| `propertyCategory` | Listing type, for example "Maison à vendre" or "Condo à vendre" |
| `price` | Price exactly as displayed, including notes like "+TPS/TVQ" |
| `priceValue` | The price as a plain number, ready for sorting and calculations |
| `address` | Street address of the property |
| `cityName` | City (or city plus borough) |
| `bedrooms` | Number of bedrooms, when the listing shows one |
| `bathrooms` | Number of bathrooms, when the listing shows one |
| `landArea` | Lot size, common on land and lot listings |
| `listingUrl` | Direct link to the full property page on Centris |
| `imageUrl` | URL of the main listing photo |
| `sourceUrl` | The search this listing came from |
| `scrapedAt` | UTC timestamp of when the row was collected |

### How to use it

1. Open Centris and search for what you want. Apply your filters: city, price range, property type, number of bedrooms, whatever matters.
2. Copy the URL of the results page from your browser.
3. Paste it into the **Search results URL** field.
4. Set **Max items** to how many listings you want, then run.

To combine several searches in one run, add extra result-page URLs under **Additional search URLs**.

#### Input reference

| Field | Type | Description |
| --- | --- | --- |
| `searchUrl` | string | The main Centris search results page to read |
| `searchUrls` | array | Optional extra result pages to process in the same run |
| `maxItems` | integer | How many listings to collect per run (default 100, up to 2000) |
| `navigationTimeoutSecs` | integer | Timeout per page load or pagination step (default 60) |
| `proxyConfiguration` | object | Proxy settings; residential proxies are recommended |

#### Example input

```json
{
    "searchUrl": "https://www.centris.ca/fr/propriete~a-vendre?view=Thumbnail",
    "maxItems": 200,
    "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

#### Example output

```json
{
    "mlsNumber": "21177720",
    "propertyCategory": "Quintuplex à vendre",
    "price": "1 459 000 $",
    "priceValue": 1459000,
    "address": "4350 - 4356, Rue de Venise",
    "cityName": "Montréal (Saint-Léonard)",
    "bedrooms": 2,
    "bathrooms": 1,
    "landArea": null,
    "listingUrl": "https://www.centris.ca/fr/quintuplex~a-vendre~montreal-saint-leonard/21177720",
    "imageUrl": "https://mspublic.centris.ca/media.ashx?id=...&t=pi&w=320&h=240&sm=c",
    "sourceUrl": "https://www.centris.ca/fr/propriete~a-vendre?view=Thumbnail",
    "scrapedAt": "2026-08-26T05:12:44.170963+00:00"
}
```

### Good for

- Building a snapshot of a local market: what is listed, at what price, where
- Watching a neighbourhood or price band for new listings over time
- Feeding listings into a spreadsheet, CRM, or internal dashboard
- Comparing asking prices across cities or property types
- Sourcing leads for agents, investors, and analysts

### Notes on proxies

This actor drives a real browser, so a residential proxy gives the most reliable access. The default configuration uses Apify Proxy residential addresses. You can change the proxy group or supply your own in the input.

### Exporting the results

Every run stores its results in a dataset. Download it as JSON, CSV, Excel, or XML straight from the run's Storage tab, or pull it through the Apify API and connect it to your own tools.

Broker and agency names are not part of the search results and live only on each property's own detail page, so they are not included here. Listing details change often, so re-run the actor when you need current data. Use the data responsibly and in line with Centris's terms and applicable laws.

# Actor input Schema

## `searchUrl` (type: `string`):

A Centris search results page to extract listings from. Open Centris, apply your filters (city, price, property type), and paste the resulting page URL here. The actor pages through the results automatically.

## `searchUrls` (type: `array`):

Optional list of extra Centris search results pages to process in the same run.

## `maxItems` (type: `integer`):

Maximum number of listings to collect per run, counted across every search URL.

## `navigationTimeoutSecs` (type: `integer`):

How long to wait for each page load or pagination step before giving up.

## `proxyConfiguration` (type: `object`):

Proxy settings for the browser. The actor tries a direct connection first and only uses this proxy as a fallback. Leave the default unless a direct connection is blocked; if you have residential proxy access, adding the RESIDENTIAL group can help in that case.

## Actor input object example

```json
{
  "searchUrl": "https://www.centris.ca/fr/propriete~a-vendre?view=Thumbnail",
  "searchUrls": [
    "https://www.centris.ca/fr/propriete~a-vendre~montreal?view=Thumbnail"
  ],
  "maxItems": 100,
  "navigationTimeoutSecs": 60,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `properties` (type: `string`):

Dataset of extracted Centris property listings.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchUrl": "https://www.centris.ca/fr/propriete~a-vendre?view=Thumbnail",
    "searchUrls": [],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("kawsar/centris-property-listings-extractor").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchUrl": "https://www.centris.ca/fr/propriete~a-vendre?view=Thumbnail",
    "searchUrls": [],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("kawsar/centris-property-listings-extractor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchUrl": "https://www.centris.ca/fr/propriete~a-vendre?view=Thumbnail",
  "searchUrls": [],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call kawsar/centris-property-listings-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kawsar/centris-property-listings-extractor"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/O8fymjhe8fcX80S3y/builds/pXbq0x6p3sjecp7Zb/openapi.json