# Realtor.ca Scraper (`moving_beacon-owner1/realtor-ca-scraper`) Actor

Scrapes Realtor.ca property listings with filters for location, property type, price, bedrooms, bathrooms, and transaction type. Extracts property details, pricing, agent information, photos, and listing URLs. Exports data in JSON, CSV, Excel, XML, or RSS.

- **URL**: https://apify.com/moving\_beacon-owner1/realtor-ca-scraper.md
- **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (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 $10.00 / 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 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

## Realtor.ca Scraper

An [Apify](https://apify.com) actor that scrapes property listings from **Realtor.ca**.

### Features

- Search by **city preset** (Toronto, Vancouver, Montreal, Calgary, Ottawa, Edmonton, Winnipeg, Quebec City, Hamilton, Halifax) or a **custom map bounding box**.
- Filter by **transaction type** (sale / rent), **property type**, **price range**, **min beds**, and **min baths**.
- Configurable **sort order**, **records per page**, **max pages**, and a hard **max items** cap.
- Browser TLS/JA3 + HTTP2 fingerprint impersonation via `curl_cffi`, with automatic fingerprint rotation and backoff on `403 / 429 / 503`.
- Apify proxy integration (residential recommended).

### Input

All fields are optional; sensible defaults are applied. Example:

```json
{
  "searchMode": "city",
  "city": "toronto",
  "transactionType": "sale",
  "propertyType": "any",
  "priceMin": 500000,
  "priceMax": 1500000,
  "bedsMin": 2,
  "maxPages": 2,
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

| Field | Type | Default | Notes |
|---|---|---|---|
| `searchMode` | `city` | `boundingBox` | `city` | How the search area is defined. |
| `city` | enum | `toronto` | Used in `city` mode. |
| `latitudeMax/Min`, `longitudeMax/Min` | string | — | Used in `boundingBox` mode (all four required). |
| `transactionType` | `sale` | `rent` | `sale` | |
| `propertyType` | enum | `any` | residential, condo, multi\_family, vacant\_land, etc. |
| `priceMin` / `priceMax` | integer | — | CAD. |
| `bedsMin` / `bathsMin` | integer | — | Minimum count. |
| `sort` | enum | `6-D` | Price high→low / low→high, date newest / oldest. |
| `recordsPerPage` | integer | `50` | Max 200. |
| `maxPages` | integer | `3` | Result pages to fetch. |
| `maxItems` | integer | `0` | Total cap; `0` = no cap. |
| `proxyConfiguration` | object | Apify residential | |

#### Custom bounding box mode

Set `searchMode` to `boundingBox` and supply all four coordinates (north/south latitude, east/west longitude). You can grab these from the realtor.ca map URL for any area you like.

```json
{
  "searchMode": "boundingBox",
  "latitudeMax": "43.90",
  "latitudeMin": "43.50",
  "longitudeMax": "-79.10",
  "longitudeMin": "-79.70"
}
```

### Output

Each dataset item looks like:

```json
{
  "mlsNumber": "X1234567",
  "address": "123 King St W, Toronto, ON",
  "latitude": "43.6481",
  "longitude": "-79.3802",
  "price": "$1,200,000",
  "priceUnformatted": "1200000",
  "transactionType": "For sale",
  "propertyType": "Single Family",
  "ownershipType": "Freehold",
  "bedrooms": "3",
  "bathrooms": "2",
  "sizeInterior": "1500 sqft",
  "stories": "2",
  "publicRemarks": "...",
  "parkingType": "Garage",
  "photoUrl": "https://...jpg",
  "photoCount": 12,
  "brokerage": "Example Realty",
  "agent": "Jane Doe",
  "postalCode": "M5V",
  "listingId": "27123456",
  "url": "https://www.realtor.ca/real-estate/27123456/..."
}
```

# Actor input Schema

## `city` (type: `string`):

City to search. Supported cities: toronto, vancouver, montreal, calgary, ottawa. If set, this overrides the 'City (preset)' dropdown below.

## `query` (type: `string`):

City to search, picked from the supported list. Ignored if the 'City' field above is filled in.

## `pages` (type: `integer`):

Number of result pages to fetch (50 listings per page).

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

Realtor.ca is behind Incapsula/Imperva. Residential Apify proxy is strongly recommended.

## Actor input object example

```json
{
  "city": "toronto",
  "query": "toronto",
  "pages": 1,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("moving_beacon-owner1/realtor-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("moving_beacon-owner1/realtor-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 moving_beacon-owner1/realtor-ca-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=moving_beacon-owner1/realtor-ca-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/U01JARRMSoD3xc22l/builds/FWhqbZoLvnQsH75jA/openapi.json