# Realtor.ca Scraper — Canadian MLS Listings (`unfenced-group/realtor-ca-scraper`) Actor

Scrape realtor.ca for Canadian MLS property listings: prices, addresses, bedrooms, photos, lot size & more. For sale & for rent. No API key required.

- **URL**: https://apify.com/unfenced-group/realtor-ca-scraper.md
- **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community)
- **Categories:** Real estate
- **Stats:** 2 total users, 1 monthly users, 27.6% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.79 / 1,000 listings

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 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

![Realtor.ca Scraper](https://api.apify.com/v2/key-value-stores/8bHRzKoPOehtUPL15/records/banner.png)

Extract Canadian property listings from realtor.ca (CREA MLS) at scale — for sale, for rent and recently sold. Search by city or paste a map URL, then filter by price, bedrooms, bathrooms, property type and more. Every record carries price, address, geo-coordinates, size, photos and listing-agent business contact. No API key required.

***

### Why this scraper?

#### 🎯 Built for Canadian real estate

A dedicated realtor.ca scraper, not a global tool with a country dropdown. Currency (CAD), province parsing and MLS fields are tuned for realtor.ca.

#### 🗺️ Complete map coverage

Searches a whole city or region by recursively splitting the map into tiles, so dense urban areas are fully covered instead of being truncated at the API's per-query cap.

#### 📄 Rich listing data

Price, full address, city, province, postal code, latitude/longitude, bedrooms, bathrooms, interior size (sqft and m²), lot size, year built, parking, annual property tax, maintenance fee, photos and description on every record.

#### 🏢 Listing-agent contact

Agent name, position, phone, brokerage and brokerage phone where realtor.ca publishes them as professional listing contact — business information only.

#### 🏷️ Sale, rent and sold

Switch between active for-sale, for-rent, and recently-sold listings, with an optional "sold within N days" filter.

***

### Input parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `city` | string | (empty) | City/area to search, e.g. `Toronto, ON`. Geocoded automatically. |
| `startUrls` | array | `[]` | Realtor.ca map URLs. Bounding box is extracted automatically; overrides `city`. |
| `transactionType` | string | `"for-sale"` | `for-sale`, `for-rent` or `sold`. |
| `propertyType` | string | `"all"` | `all`, `residential`, `commercial`, `recreational`, `agriculture`, `parking`. |
| `propertySubType` | string | `"all"` | `all`, `house`, `condo`, `townhouse`. |
| `buildingType` | string | (any) | Specific building type (house, apartment, duplex, etc.). |
| `minPrice` / `maxPrice` | integer | — | Price bounds in CAD. |
| `minBedrooms` / `maxBedrooms` | integer | — | Bedroom bounds. |
| `minBathrooms` / `maxBathrooms` | integer | — | Bathroom bounds. |
| `minSqft` / `maxSqft` | integer | — | Interior size bounds (sqft). |
| `minMaintenanceFee` / `maxMaintenanceFee` | integer | — | Monthly maintenance fee bounds (CAD). |
| `minPropertyTax` / `maxPropertyTax` | integer | — | Annual property tax bounds (CAD). |
| `openHousesOnly` | boolean | `false` | Only listings with a scheduled open house. |
| `keywords` | string | (empty) | Words that must appear in the listing, space-separated. |
| `listedSince` | string | (empty) | Only listings posted on/after this date (`YYYY-MM-DD`). |
| `soldWithinDays` | integer | — | Sold listings only: limit to the last N days. |
| `fetchDetails` | boolean | `false` | Visit each listing page for appliances, heating, cooling, flooring, basement, exterior finish, pool and full feature lists. Adds one request per listing and roughly doubles run time. |
| `maxItems` | integer | `1000` | Maximum listings to return. `0` = unlimited. |

***

### Output schema

Every field below is present on every record. Fields the source does not publish for a given listing are returned as `null` rather than omitted.

| Field | Type | Description |
|---|---|---|
| `id` | string | Realtor.ca listing ID. |
| `mlsNumber` | string | MLS number. |
| `url` | string | Full listing URL (English). |
| `urlFr` | string | Full listing URL (French). |
| `propertyType` | string | Property type (e.g. Single Family, Multi-Family). |
| `buildingType` | string | Building type (e.g. Apartment, House, Row-Townhouse). |
| `transactionType` | string | `For Sale`, `For Rent` or `Sold`. |
| `status` | string | Listing status. |
| `tags` | array | Listing tags, when present. |
| `timeOnRealtor` | string | Time on realtor.ca as displayed (e.g. `1 hour ago`). |
| `price` | number | Numeric price. |
| `priceFormatted` | string | Price as displayed. |
| `currency` | string | Always `CAD`. |
| `pricePerSqft` | number | Price divided by interior square footage. |
| `address` | string | Street address. |
| `city` | string | City. |
| `province` | string | Province. |
| `postalCode` | string | Postal code. |
| `country` | string | Always `Canada`. |
| `latitude` | number | Latitude. |
| `longitude` | number | Longitude. |
| `ownershipType` | string | Ownership type (Freehold, Condominium/Strata, Leasehold, etc.). |
| `bedrooms` | number | Total bedrooms (above + below ground). |
| `bedroomsAbove` | number | Above-ground bedrooms. |
| `bedroomsBelow` | number | Basement bedrooms (Canadian `X + Y` format). |
| `bathrooms` | number | Bathrooms. |
| `storeys` | number | Number of storeys. |
| `yearBuilt` | number | Year built. |
| `sizeInterior` | string | Interior size as published. |
| `sizeInteriorM2` | number | Interior size in square metres. |
| `sizeInteriorSqft` | number | Interior size in square feet. |
| `sizeLot` | string | Lot size as published. |
| `parking` | array | Parking types. |
| `parkingType` | string | Parking type summary. |
| `parkingSpaces` | number | Number of parking spaces. |
| `amenitiesNearby` | string | Nearby amenities (park, transit, schools, etc.). |
| `buildingAmenities` | string | Building amenities (concierge, gym, etc.). |
| `annualTaxCAD` | number | Annual property tax (CAD). |
| `taxToPrice` | number | Annual tax divided by price. |
| `maintenanceFeeCAD` | number | Monthly maintenance fee (CAD). |
| `description` | string | Public listing remarks. |
| `photos` | array | Photo URLs. |
| `photoCount` | number | Number of photos. |
| `agents` | array | Listing-agent business contact (name, position, phone with area code, website, brokerage, brokerage phone). |
| `openHouses` | array | Scheduled open houses (start/end, comments). |
| `listedDate` | string | Date listed (`YYYY-MM-DD`). |
| `source` | string | Always `realtor.ca`. |
| `scrapedAt` | string | ISO timestamp of scrape. |
| `contentHash` | string | Stable hash for change detection. |

The fields below are only populated when `fetchDetails` is enabled, and only where realtor.ca publishes them.

| Field | Type | Description |
|---|---|---|
| `heatingType` | string | Heating system type. |
| `heatingFuel` | string | Heating fuel. |
| `cooling` | string | Cooling system. |
| `flooring` | string | Floor space type. |
| `flooringType` | string | Flooring material. |
| `basementType` | string | Basement type. |
| `basementFeatures` | string | Basement features. |
| `exteriorFinish` | string | Exterior finish. |
| `roofMaterial` | string | Roof material. |
| `foundationType` | string | Foundation type. |
| `poolType` | string | Pool type. |
| `features` | string | Property features. |
| `appliances` | string | Included appliances. |
| `fireProtection` | string | Fire protection. |
| `waterSource` | string | Water source. |
| `sewer` | string | Sewer type. |
| `utilities` | string | Available utilities. |
| `landscapeFeatures` | string | Landscape features. |
| `fenceType` | string | Fence type. |
| `constructionStyle` | string | Construction style. |

#### Example record

```json
{
  "id": "27891234",
  "mlsNumber": "W1234567",
  "url": "https://www.realtor.ca/real-estate/27891234/55-bremner-blvd-toronto",
  "propertyType": "Single Family",
  "transactionType": "For Sale",
  "price": 899000,
  "priceFormatted": "$899,000",
  "currency": "CAD",
  "address": "55 Bremner Blvd Unit 2801",
  "city": "Toronto",
  "province": "ON",
  "postalCode": "M5J 0A6",
  "country": "Canada",
  "latitude": 43.6426,
  "longitude": -79.3871,
  "bedrooms": 3,
  "bathrooms": 2,
  "yearBuilt": 2018,
  "sizeInteriorSqft": 1100,
  "annualTaxCAD": 4200,
  "maintenanceFeeCAD": 780,
  "description": "Stunning 3-bed condo in downtown Toronto with lake views.",
  "photos": ["https://pics.realtor.ca/hi/1.jpg", "https://pics.realtor.ca/hi/2.jpg"],
  "agents": [
    { "name": "Jane Broker", "position": "Sales Representative", "phone": "416-555-0100", "brokerage": "Royal LePage", "brokeragePhone": "416-555-0199" }
  ],
  "listedDate": "2026-06-20",
  "source": "realtor.ca",
  "scrapedAt": "2026-07-05T12:00:00.000Z",
  "contentHash": "c46cc3faf743f6f1"
}
```

***

### Examples

**Condos for sale in a city**

```json
{ "city": "Toronto, ON", "transactionType": "for-sale", "propertySubType": "condo", "maxItems": 500 }
```

**Rentals within a price range**

```json
{ "city": "Vancouver, BC", "transactionType": "for-rent", "maxPrice": 3000, "minBedrooms": 2, "maxItems": 300 }
```

**Recently sold, last 30 days**

```json
{ "city": "Ottawa, ON", "transactionType": "sold", "soldWithinDays": 30, "maxItems": 400 }
```

**Specific map area from a browser URL**

```json
{ "startUrls": [{ "url": "https://www.realtor.ca/map#..." }], "transactionType": "for-sale" }
```

***

### 💰 Pricing

**$0.89 per 1,000 results.** You are billed only for successfully returned listings; failed retries are never charged.

| Results | Cost |
|---|---|
| 100 | ~$0.09 |
| 1,000 | ~$0.89 |
| 10,000 | ~$8.90 |
| 100,000 | ~$89.00 |

Subscription tiers lower the rate further, down to $0.69 per 1,000 at the highest tier. Use the **Max items** input to control spend exactly.

***

### Performance

| Run size | Typical time |
|---|---|
| 100 results | 1–3 minutes |
| 1,000 results | 8–15 minutes |
| 10,000 results | 60–100 minutes |

Dense metros are split into more tiles, which adds requests; wide rural areas resolve faster. Enabling `fetchDetails` adds one page load per listing and roughly doubles these times.

***

### Known limitations

- realtor.ca caps results per map query; the scraper works around this by tiling, but extremely dense downtown cores can still miss a small tail of listings.
- `sizeInteriorM2` / `sizeInteriorSqft` depend on the listing agent entering a size; many listings leave it blank.
- Open-house data is only present when the listing has a scheduled open house, and never for sold listings.
- Agent details are professional listing contact only; no personal or non-listing PII is collected.

***

### Technical details

- **Source:** realtor.ca — Canadian MLS (CREA)
- **Coverage:** nationwide, by city or map area
- **Anti-bot:** requests use Apify Residential proxy (Canada) with session warmup to clear Incapsula
- **Retry:** automatic retry with exponential backoff and a circuit breaker

***

### Need a custom scraper?

**[Unfenced Group](https://www.unfencedgroup.nl)** builds Apify actors for any website — for free.

If the site you need isn't in our portfolio yet, just ask. We scope, build, and publish it at no cost to you. You only pay for results — we absorb the compute and proxy costs ourselves. Same pay-per-result pricing, same quality, same standards as every actor in this portfolio.

**Get in touch:** [www.unfencedgroup.nl](https://www.unfencedgroup.nl)

# Actor input Schema

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

City or area to search, geocoded automatically. Leave empty if using Start URLs.

## `startUrls` (type: `array`):

Realtor.ca map search URLs. Paste from the browser address bar; the bounding box is extracted automatically. Overrides City when set.

## `transactionType` (type: `string`):

Whether to return listings for sale, for rent, or recently sold.

## `propertyType` (type: `string`):

Top-level property category to include.

## `propertySubType` (type: `string`):

Narrower residential sub-type filter.

## `buildingType` (type: `string`):

Specific building type filter. Leave as Any to skip.

## `minPrice` (type: `integer`):

Minimum listing price in Canadian dollars.

## `maxPrice` (type: `integer`):

Maximum listing price in Canadian dollars.

## `minBedrooms` (type: `integer`):

Minimum number of bedrooms.

## `maxBedrooms` (type: `integer`):

Maximum number of bedrooms.

## `minBathrooms` (type: `integer`):

Minimum number of bathrooms.

## `maxBathrooms` (type: `integer`):

Maximum number of bathrooms.

## `minSqft` (type: `integer`):

Minimum interior floor area in square feet.

## `maxSqft` (type: `integer`):

Maximum interior floor area in square feet.

## `minMaintenanceFee` (type: `integer`):

Minimum monthly condo/strata maintenance fee.

## `maxMaintenanceFee` (type: `integer`):

Maximum monthly condo/strata maintenance fee.

## `minPropertyTax` (type: `integer`):

Minimum annual property tax.

## `maxPropertyTax` (type: `integer`):

Maximum annual property tax.

## `openHousesOnly` (type: `boolean`):

Only return listings with a scheduled open house. Not applicable to Sold listings.

## `keywords` (type: `string`):

Words that must appear in the listing details, space-separated.

## `listedSince` (type: `string`):

Only return listings posted on or after this date.

## `soldWithinDays` (type: `integer`):

Sold listings only: limit to properties sold within the last N days.

## `fetchDetails` (type: `boolean`):

Visit each listing page for appliances, heating, cooling, flooring, basement, exterior finish, pool and full feature lists. Off by default. Adds one request per listing, roughly doubling run time.

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

Maximum number of listings to return. Set to 0 for unlimited.

## Actor input object example

```json
{
  "city": "Toronto, ON",
  "startUrls": [],
  "transactionType": "for-sale",
  "propertyType": "residential",
  "propertySubType": "condo",
  "buildingType": "apartment",
  "minPrice": 300000,
  "maxPrice": 900000,
  "minBedrooms": 2,
  "maxBedrooms": 4,
  "minBathrooms": 1,
  "maxBathrooms": 3,
  "minSqft": 800,
  "maxSqft": 2500,
  "minMaintenanceFee": 200,
  "maxMaintenanceFee": 700,
  "minPropertyTax": 2000,
  "maxPropertyTax": 8000,
  "openHousesOnly": false,
  "keywords": "pool garage",
  "listedSince": "2026-01-01",
  "soldWithinDays": 30,
  "fetchDetails": false,
  "maxItems": 500
}
```

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

// Prepare Actor input
const input = {
    "city": "Toronto, ON",
    "maxItems": 200
};

// Run the Actor and wait for it to finish
const run = await client.actor("unfenced-group/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 = {
    "city": "Toronto, ON",
    "maxItems": 200,
}

# Run the Actor and wait for it to finish
run = client.actor("unfenced-group/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 '{
  "city": "Toronto, ON",
  "maxItems": 200
}' |
apify call unfenced-group/realtor-ca-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/GllRvI5BnUdOC0B54/builds/QdYuCGRbkYrS3ibvt/openapi.json