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

Worker URL is config, not code: the Actor reads WORKER_BASE_URL from Actor environment variables (plus optional per-run workerBaseUrl). If you migrate the worker to a new host, update WORKER_BASE_URL (and WORKER_AUTH if the API key changes) in Apify Console — no Actor code change required. Set WORKER_PROVIDES_PROXY=1 when the worker supplies its own PROXY_URL.

Free Apify plan limits (set by this Actor's developer)

Limit	Free Apify plan	Paid Apify plan
Runs of this Actor	10 total	Unlimited
Results per run	Up to 200 (maxResults)	Up to schema max (200)

These limits are set by the Actor developer, not Apify. Hitting the run cap finishes with a clear status message — it is not a platform bug. Upgrade to a paid Apify plan for unlimited runs.

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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, this thin Actor:

1. Validates input and mints an Apify Canadian RESIDENTIAL sticky proxyUrl
2. Calls the hosted Cloud Run scrape worker over HTTPS + API key
3. The worker resolves your city bbox, warms a stealth browser on Realtor.ca (Imperva-aware), and calls CREA PropertySearch_Post / PropertyDetails from page context
4. Pushes normalized Dataset rows (same field names as before: country=CA, source=realtor.ca, MLS fields, scrapedAt, …)

When WORKER_PROVIDES_PROXY is unset, Apify Canadian RESIDENTIAL proxy (country CA) is minted and passed to the worker. With WORKER_PROVIDES_PROXY=1, the worker uses its own PROXY_URL instead.

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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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More Actors like this

Need US Realtor.com, Zillow, other country portals, or a different vertical? Use a dedicated Actor below for structured fields. Stay on Realtor.ca Scraper for Canadian MLS for-sale and rental listings.

Similar real estate scrapers

• Realtor.com Scraper
• Realtor.com Agents Scraper
• Zillow & Zumper Scraper
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Prefer another specialized scraper?

If your target has a specialized Actor below, use that first — usually cheaper and more structured than a generic scrape.

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→ See the full catalog in Related Actors below, or browse apify.com/lentic_clockss.

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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) is separate and depends on run duration and memory. Browser acquisition runs on Cloud Run, not inside Actor CU.

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Input

Field	Description
location	City and province, e.g. Toronto, ON / Saskatoon, SK, or a realtor.ca city URL
listingType	sale, rent, or both
propertyTypeGroup	residential, commercial, or all (default residential)
propertySearchType	Residential subtype: any, condo, vacant_land, multi_family, etc. (default any; only with residential)
maxResults	1–200 (default 20; free users capped at 200/run)
minPrice / maxPrice	Optional CAD filters
enrichDetails	Fetch PropertyDetails per listing (default true)
detailConcurrency	Parallel detail fetches 1–4 (default 2)
maxDetailFailRatio	Fail when detail errors exceed this ratio (default 0.5)
applicationId	Advanced CREA ApplicationId override (optional)
proxyConfiguration	Apify RESIDENTIAL CA when Actor mints proxy; ignored if WORKER_PROVIDES_PROXY=1
workerBaseUrl	Optional per-run worker origin override (Advanced)

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

Why did my free-plan run stop after 10 runs?

Free Apify plan users get 10 runs of this Actor and up to 200 results per run. These limits are set by the Actor developer (not Apify). When you hit the run cap, the run finishes with a clear status message — it is not a platform bug. Upgrade to a paid Apify plan for unlimited runs.

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 commercial or condo-only inventory?

Yes. Set propertyTypeGroup to residential, commercial, or all. For residential subtypes use propertySearchType (condo, vacant_land, multi_family, etc.). Commercial and all require propertySearchType: any. Each dataset row includes the requested propertyTypeGroup and propertySearchType.

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 worker paginates within that cap and stops at maxResults. Very dense metros may need tighter price filters or smaller areas. Partial worker responses surface as warnings in RUN_SUMMARY.

How are unknown Canadian cities resolved?

Major metros use a versioned curated bbox table. Other Canadian cities are geocoded (Nominatim, Photon fallback) and expanded to an approximate map box.

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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