Realtor.ca Scraper — Canadian MLS Listings

Scrape Realtor.ca for-sale and rental listings by Canadian city — then download structured MLS data as Excel, CSV, or JSON.

This Actor is a practical Realtor.ca / CREA API alternative for market research, investor screening, rental comps, and lead lists. Enter a city such as Toronto, ON, choose For sale, For rent, or Both, and get listing rows with MLS numbers, prices, beds, baths, size, agents, photos, and addresses.

• Pull Canadian homes for sale and rentals from Realtor.ca
• Resolve cities to map bounding boxes, then call CREA PropertySearch_Post
• Optionally enrich with PropertyDetails (remarks, extra photos)
• Filter by CAD price range — or paste a realtor.ca city URL
• Export to Excel / CSV / JSON, or connect Make, n8n, Zapier, Python, or MCP
• Pay per event — Actor start + each Dataset listing; no subscription

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What does the Realtor.ca Scraper do?

It turns a Canadian city search on Realtor.ca into a clean Apify Dataset of MLS listings.

Under the hood, the Actor:

1. Resolves your city to a map bounding box
2. Warms a Camoufox browser session on Realtor.ca (Imperva-aware)
3. Calls CREA PropertySearch_Post from the page context with challenge cookies attached
4. Optionally fetches PropertyDetails to enrich each row
5. Writes normalized records you can download or push into automations

Apify Canadian RESIDENTIAL proxy is required (prefilled, country CA).

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What data can you extract from Realtor.ca?

Data point	For sale	For rent
Address / listing name	✅	✅
MLS number & listing ID	✅	✅
List price or rent (CAD)	✅	✅
Beds / baths / size	✅	✅
Property type & ownership	✅	✅
GPS coordinates	✅	✅
Listing URL & main image	✅	✅
Agent / office	✅	✅
Time on Realtor.ca	✅	✅
Public remarks (when enriched)	✅	✅

Every Dataset row also includes scrapedAt, country = CA, and source = realtor.ca. A RUN_SUMMARY record in the key-value store reports counts and warnings.

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What you can do with it

1. Scrape Canadian homes for sale in a metro

Enter a city like Toronto, ON, set listing type to For sale, and get structured rows with MLS number, price, beds, baths, size, agent, and a direct listing URL — ready for comps or investor shortlists.

2. Scrape Canadian rentals

Set listing type to For rent. Rows include rent/price display, beds/baths, size, and agent/office when present.

3. Cover sale and rent in one run

Set listingType to both. maxResults is split across sale and rent when both are selected.

4. Feed Canadian MLS data into automations

Schedule the Actor and send the Dataset to Sheets, Slack, CRM, Make, n8n, Zapier, or an AI agent via Apify MCP / API.

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How to scrape Realtor.ca (no code required)

1. Click Try for free
2. Enter a location (Toronto, ON or Vancouver, BC)
3. Choose For sale, For rent, or Both
4. Optionally set max results and CAD price filters
5. Keep Apify RESIDENTIAL proxy enabled (Canada)
6. Click Start — open the Dataset tab when the run finishes

Start with maxResults: 5–10 to verify the market, then scale up.

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Pricing — how much does it cost to scrape Realtor.ca?

Pay per event. No subscription.

Event	Price	When charged
apify-actor-start	$0.005	When a normal run starts (scaled by allocated memory GB)
apify-default-dataset-item (result)	$2.50 / 1,000 ($0.0025 each)	Each listing written to the default Dataset

User pays platform usage costs: Yes — compute, residential proxy, and other platform usage are billed to the user in addition to event charges.

Example product charges (events only):

Scenario	Approx. event charge
Canary: 10 listings	$0.005 + 10 × $0.0025 = $0.030
City scan: 100 listings	$0.005 + $0.25 = $0.255
1,000 listings	$0.005 + $2.50 = $2.505

Platform usage (especially residential proxy + browser warmup) is separate and depends on run duration and memory.

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Input

Field	Description
location	City and province, e.g. Toronto, ON, or a realtor.ca city URL
listingType	sale, rent, or both
maxResults	1–200 (default 20)
minPrice / maxPrice	Optional CAD filters
enrichDetails	Fetch PropertyDetails per listing (default true)
applicationId	Advanced CREA ApplicationId override (optional)
proxyConfiguration	Apify RESIDENTIAL / CA required

Open the Input tab in Console for the full form and tooltips.

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Output example

You can download the Dataset as JSON, CSV, Excel, or HTML.

{
  "name": "123 King St W",
  "listingType": "sale",
  "mlsNumber": "C1234567",
  "city": "Toronto",
  "state": "ON",
  "listPrice": 899000,
  "currency": "CAD",
  "beds": "2 + 1",
  "baths": "2",
  "sqft": "900 sqft",
  "agentName": "Jane Smith",
  "listingUrl": "https://www.realtor.ca/real-estate/...",
  "source": "realtor.ca",
  "scrapedAt": "2026-07-17T00:00:00+00:00"
}

Core fields include listingId, mlsNumber, address/price/size/GPS, listingUrl, imageUrl, agent/office, and detail extras such as descriptionText when enrichment is enabled.

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Live View endpoints

When Standby / Live View is enabled, the Actor exposes a small OpenAPI surface for readiness and discovery:

Endpoint	Purpose
GET /	Readiness / service info
GET /health	Health check
GET /input-example	Low-cost example input
GET /openapi.json	Deployed OpenAPI document

Scraping still runs through a normal Actor run — Live View does not scrape Realtor.ca by itself.

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Connect from code

Actor ID: lentic_clockss/realtor-ca-scraper

from apify_client import ApifyClient

client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("lentic_clockss/realtor-ca-scraper").call(
    run_input={
        "location": "Toronto, ON",
        "listingType": "sale",
        "maxResults": 10,
        "proxyConfiguration": {
            "useApifyProxy": True,
            "apifyProxyGroups": ["RESIDENTIAL"],
            "apifyProxyCountry": "CA",
        },
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("name"), item.get("listPrice"), item.get("listingUrl"))

Use the same Actor ID in Make, n8n, Zapier, or Apify MCP for AI-agent workflows.

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FAQ

Is there a free Realtor.ca / CREA API?

CREA / Realtor.ca does not offer a simple public listing API for bulk third-party export. This Actor gives you structured Canadian MLS data through Apify runs, Dataset exports, and integrations.

Can I scrape both for-sale and rental listings?

Yes. Set listingType to both. maxResults is split across sale and rent when both are selected.

Why is a Canadian residential proxy required?

Realtor.ca sits behind Imperva and blocks many datacenter/direct IPs. Apify RESIDENTIAL with country CA is required for reliable runs.

Why might a dense metro return fewer than maxResults?

CREA search uses a map bounding box with an internal result cap (~600). The Actor paginates within that cap and stops at maxResults. Very dense metros may need tighter price filters or smaller areas.

Can I schedule daily Realtor.ca scrapes?

Yes. Create an Apify schedule with the same input and send the Dataset to Sheets, Slack, a CRM, or your pipeline.

Is it legal to scrape Realtor.ca?

Use this Actor for legitimate research and analysis only. Respect Realtor.ca / CREA terms of use and applicable law. Results may include publicly displayed listing information; do not use personal data without a lawful basis.

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Related Actors

• Realtor.com Scraper — US homes for sale and rent
• Realtor.com Agents Scraper — US agent profiles and contact data
• US Real Estate Scraper — multi-site US aggregation

Browse all Actors: apify.com/lentic_clockss