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, extra agent/office phones)
• Extract outreach-ready lead fields (phones, address including unit/门牌, person, org, web)
• 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.

---

Need a dedicated scraper for one website?

This Actor is the general tool for protected public pages. If you already have one specific site and a field list, a dedicated scraper is faster and more stable: listing + detail, your export format, delivered to your Apify account or as a standalone runnable client.

I confirm the tier before you pay. The clock starts after that confirmation.

Start here: Submit a custom scraper request

	Starter $50	Dedicated $100	Hard target $200–999
Site	1 simple anti-bot public site	1 medium anti-bot public site	Cloudflare / aggressive anti-bot / custom parser
Scope	Full listing + detail fields	Listing + detail + pagination, your field list	Agreed fields, repeatable runs
Delivery	CSV/JSON · Apify Actor or standalone runnable client (script/CLI)	Same, plus a sample run and short instructions	Feasibility first, then build
Time	24 hours after we confirm the URL is in scope	48 hours after confirmation	Quoted after feasibility
Fixes	30 days for small public-layout changes	30 days	Scoped in the quote

Hard-target sites are not a 100% uptime promise. You get a dedicated parser that can be re-run on the agreed fields. If the URL is not feasible, you get a refund or pay an assessment fee only — you will know before the build starts.

Not in Starter/Dedicated: login-walled data, native APK / Windows installer / full web apps, or two-year maintenance. Those are a separate quote.

---

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.

---

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	✅	✅
Agent / office phones	✅	✅
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.

---

Lead / Contact fields

Every Dataset row carries a normalized lead block (phones, emails, address, geo, person, org, web, leadSource, leadReveal, leadAbsences) in addition to the MLS fields above. Keys are always present. A missing sub-field is explained in leadAbsences rather than silently omitted.

Field	Type	Meaning on Realtor.ca
phones	[{value, type, e164?}]	Agent Telephone / Mobile / Fax / Toll Free from CREA Individual[].Phones[] and Organization.Phones[] (AreaCode + PhoneNumber, e.g. 905-673-1212, 226-929-5512). SEO listing cards do not show a phone. Search items still often carry phones because the worker reads CREA PropertySearch_Post (acceptance run 42umn7jWw1kBUuWFb search item included 905-220-7755 / 289-644-1111). Already-visible JSON — no click-reveal.
emails	[{value, type}]	Per-listing contact email. Realtor.ca does not publish plaintext emails. CREA Emails[] is ContactId only (numeric id such as 578540770). The on-page Email button is a Gigya lead form (href="#"), not mailto:. Search payloads have no email field.
address	{street, unit, locality, region, postalCode, country, full}	Listing address from Address.AddressText (pipe-delimited). unit = 门牌 / unit (e.g. 1807 from 1807 - 1926 LAKE SHORE BOULEVARD W; 608 from 40 HARRISFORD Street Unit# 608). street is the street line, locality city, region province code (ON), postalCode Canadian postal, country = CA, full assembled display string. Already-visible on SEO cards and in CREA JSON.
geo	{lat, lng}	Listing coordinates from Address.Latitude / Address.Longitude (and LDP ListingModel). Complements the street address; it does not replace it. Example: 43.6360788, -79.467159.
person	{name, role?}	Listing agent. Search PropertySearch_Post often includes Individual.Name + Position (e.g. BRITTNEY KOOY / Salesperson). Detail / PropertyDetails adds the same plus extra office phones. SEO cards typically show brokerage name only.
org	{name, id?}	Brokerage / office from Organization.Name + OrganizationID (e.g. RE/MAX PARAMOUNT REALTY / 285750, Keller Williams Complete Realty / 275238). Visible on SEO cards and in CREA JSON.
web	{website, socials[]}	Brokerage website from Organization.Websites[] when PropertyDetails (or a search payload that already includes it) returns one (e.g. https://www.kwcomplete.com/, http://www.remaxparamount.com/). Per-agent / per-brokerage social profiles are not published.
leadSource	enum	Surface that produced the lead: search (CREA PropertySearch_Post stub) | detail (PropertyDetails / LDP enrich) | entity | contact | reveal-xhr. Default Actor path emits search and detail.
leadReveal	enum	How the lead was obtained: visible (already in CREA JSON / DOM) | click | xhr | gated | image | absent. Realtor.ca phones / address / person / org are visible. Email is gated (see leadAbsences), not click-revealed.
leadAbsences	object/map	Reason each missing sub-field is absent: 本站无 (site never provides it on that surface), 闸门锁 (Gigya / lead-form wall), 未验证 (not confirmed). Example detail item: {"emails":"闸门锁","socials":"本站无"}. Example search item with phones present: {"emails":"本站无","web":"本站无","socials":"本站无"}.

Sample search item (leadSource=search) from acceptance run 42umn7jWw1kBUuWFb — phones already present via PropertySearch_Post, not from the SEO card HTML:

{
  "phones": [
    { "value": "905-220-7755", "type": "Telephone", "e164": "+19052207755" },
    { "value": "289-644-1111", "type": "Telephone", "e164": "+12896441111" }
  ],
  "emails": [],
  "address": {
    "street": "1334 UPPER PARADISE ROAD",
    "unit": null,
    "locality": "Hamilton",
    "region": "ON",
    "postalCode": "L9B 0C3",
    "country": "CA",
    "full": "1334 UPPER PARADISE ROAD, Hamilton (Carpenter), Ontario L9B0C3"
  },
  "geo": { "lat": 43.2051493, "lng": -79.9211255 },
  "person": { "name": "BRITTNEY KOOY", "role": "Salesperson" },
  "org": { "name": "RE/MAX HALLMARK REALTY LTD.", "id": "257818" },
  "web": { "website": null, "socials": [] },
  "leadSource": "search",
  "leadReveal": "visible",
  "leadAbsences": { "emails": "本站无", "web": "本站无", "socials": "本站无" }
}

Sample detail / enrich item (leadSource=detail, enrichDetails=true):

{
  "phones": [
    { "value": "226-929-5512", "type": "Telephone", "e164": "+12269295512" },
    { "value": "905-308-8333", "type": "Telephone", "e164": "+19053088333" }
  ],
  "emails": [],
  "address": {
    "street": "40 HARRISFORD Street Unit",
    "unit": "608",
    "locality": "Hamilton",
    "region": "ON",
    "postalCode": "L8K 6N1",
    "country": "CA",
    "full": "40 HARRISFORD Street Unit# 608, Hamilton, Ontario L8K6N1"
  },
  "geo": { "lat": 43.21717213, "lng": -79.79510971 },
  "person": { "name": "Callum McGregor", "role": "Salesperson" },
  "org": { "name": "Keller Williams Complete Realty", "id": "275238" },
  "web": { "website": "https://www.kwcomplete.com/", "socials": [] },
  "leadSource": "detail",
  "leadReveal": "visible",
  "leadAbsences": { "emails": "闸门锁", "socials": "本站无" }
}

Reveal cost

Realtor.ca does not use a "show phone / show email" click-reveal. Phones, address, geo, agent name, and brokerage are already in CREA JSON after the Imperva-warmed page-context call.

• Search (PropertySearch_Post): one map-bbox search request (paginated, MaxRecords ~500) already returns Individual.Phones on most listings. Opening the SEO card HTML is not required for phones. No extra reveal XHR.
• Detail (PropertyDetails, enrichDetails default true): one extra GET per listing (concurrency 1–4). This is the main time/proxy cost. It adds remarks, extra photos, extra office Fax / Toll Free numbers, and Organization.Websites[]. It does not unlock email.
• Email: there is no reveal path. The Email button opens a Gigya lead form. This Actor does not submit that form, so emails stays [].
• Agent / brokerage profile pages also show phones already-visible (JSON-LD + DOM). The default Actor path does not need those extra page loads for listing leads.
• Rate-limit / proxy impact: Canadian residential proxy is required to pass Cloudflare / Imperva. Reveal itself adds no extra clicks. Run duration scales with maxResults × detailConcurrency PropertyDetails fetches, not with phone reveals.

Honest limitations

The following lead sub-fields are not available (or not on every surface) and are reported in leadAbsences. This Actor does not invent ContactId emails, submit Gigya forms, or log in.

Sub-field	Surface	Reason	leadAbsences value
emails	Detail / LDP / Agent / Brokerage	CREA Emails[] is ContactId only; DOM Email is a Gigya lead form, not mailto:	闸门锁
emails	Search stub	Search payload has no email field	本站无
web.socials	All listing / agent / office pages	No per-agent or per-brokerage Facebook / Instagram / LinkedIn / X links	本站无
web.website	Some search stubs	Brokerage website usually arrives on PropertyDetails Organization.Websites[], not on every search card	本站无 when the search payload has none
SEO-card phone (HTML only)	SEO city landing cards	The public .listingCard HTML does not print a phone. The worker still emits phones when CREA PropertySearch_Post includes Individual.Phones	not an absence — do not document search phones as 本站无
phones / person	Rare search stubs with no Individual	If CREA omits the agent block, keys stay empty and leadAbsences records 本站无 for that search item	本站无
Rent / other metros / FR	Rent SRP, Vancouver / Calgary / Montreal / FR	Same CREA template expected; not separately opened during research	未验证 only if a sub-field is actually missing on that item

Platform /contact-us addresses and CREA corporate contacts are not copied onto listing rows.

---

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.

---

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
• Zillow Group Scraper
• Apartments.com Rental Scraper
• Rightmove Scraper
• Idealista Scraper
• realestate.com.au Scraper
• PropertyGuru Scraper
• Funda Scraper
• ImmoScout24 Scraper
• Bayut Scraper

Prefer another specialized scraper?

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

Jobs & Freelance

• LinkedIn Jobs Scraper
• Indeed Jobs Scraper
• Upwork Jobs Scraper
• Glassdoor Scraper
• Fiverr Gigs Scraper
• Bayt Jobs Scraper

E-commerce

• Walmart Product Scraper
• Amazon Search Scraper
• Shopee Search Scraper
• Etsy Scraper
• SHEIN Product Scraper
• Temu Product Scraper
• Target Product Scraper
• Allegro Scraper

Travel & Stays

• Booking.com Hotels Scraper
• Airbnb Listings Scraper
• Expedia Scraper
• TripAdvisor Scraper

Social & Content

• YouTube Research Scraper
• TikTok Scraper
• Reddit Scraper
• YouTube Shorts Scraper

Ads Intelligence

• Facebook Ad Library Scraper
• TikTok Ads Scraper

Local & Maps

• Google Maps Scraper

General tools

• Stealth Web Scraper
• Email Risk Validator
• Phone Number Intelligence

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

---

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.

---

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: No — Apify compute for the thin Actor is billed to the developer. Event charges (start + result) are billed to the user. Browser scrape runs on Cloud Run, not inside Actor CU.

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

Developer-paid Actor compute scales with allocated memory and run duration. Browser acquisition runs on Cloud Run, not inside Actor CU.

---

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 1 for Console Test; 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 1)
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.

---

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",
  "phones": [{ "value": "905-673-1212", "type": "Telephone", "e164": "+19056731212" }],
  "emails": [],
  "address": {
    "street": "123 King St W",
    "unit": null,
    "locality": "Toronto",
    "region": "ON",
    "postalCode": "M5H 1A1",
    "country": "CA",
    "full": "123 King St W, Toronto, Ontario M5H1A1"
  },
  "geo": { "lat": 43.647, "lng": -79.382 },
  "person": { "name": "Jane Smith", "role": "Salesperson" },
  "org": { "name": "Example Realty", "id": "285750" },
  "web": { "website": "http://www.example-realty.ca/", "socials": [] },
  "leadSource": "detail",
  "leadReveal": "visible",
  "leadAbsences": { "emails": "闸门锁", "socials": "本站无" },
  "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, the lead block above, and detail extras such as descriptionText when enrichment is enabled.

---

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.

---

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.

---

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.

---

Related Actors

All 77 public Actors from [lentic_clockss]. Click a name to open the Store detail page.

Jobs & Freelance

• LinkedIn Jobs Scraper
• Bayt Jobs Scraper
• Fiverr Gigs Scraper
• Freelancer.com Scraper
• Glassdoor Scraper
• Himalayas Jobs Scraper
• Indeed Jobs Scraper
• Jobicy Remote Jobs Scraper
• RemoteOK Jobs Scraper
• SEEK Jobs Scraper
• Upwork Jobs Scraper

Real Estate

• Zillow & Zumper Scraper
• Realtor.com Scraper
• 99.co Scraper
• Realtor.com Agents Scraper
• Apartments.com Rental Scraper
• Bayut Scraper
• Craigslist Housing Scraper
• Daft.ie Scraper
• Dot Property Scraper
• FINN.no Scraper
• Funda Scraper
• Hepsiemlak Scraper
• Idealista Scraper
• Immobiliare.it Scraper
• ImmoScout24 Scraper
• Naver Land Scraper
• OpenSooq Scraper
• Otodom Scraper
• Property Finder Scraper
• PropertyGuru Scraper
• realestate.com.au Scraper
• Realtor.ca Scraper
• Rightmove Scraper
• SeLoger Scraper
• SUUMO Scraper
• Zillow Group Scraper

E-commerce

• Shopee Search Scraper
• E-commerce Scraper
• 1688 Global Product Search Scraper
• Allegro Scraper
• Amazon Search Scraper
• ASOS Product Scraper
• Cdiscount Product Scraper
• Costco Product Scraper
• Coupang Product Scraper
• Etsy Scraper
• Lazada Scraper
• MercadoLibre Scraper
• Mercari Japan Scraper
• Rakuten Japan Scraper
• SHEIN Product Scraper
• Target Product Scraper
• Temu Product Scraper
• Walmart Product Scraper

Travel & Stays

• Booking.com & Airbnb Scraper
• Agoda Scraper
• Airbnb Listings Scraper
• Booking.com Hotels Scraper
• Despegar Scraper
• Expedia Scraper
• Traveloka Scraper
• Travelstart Flights Scraper
• Trip.com Scraper
• TripAdvisor Scraper

Social & Content

• TikTok Scraper
• Reddit Scraper
• YouTube Shorts Scraper
• YouTube Research Scraper
• Hacker News Scraper

Ads Intelligence

• Facebook Ad Library Scraper
• Google Ads Transparency VN
• TikTok Ads Scraper

Local & Maps

• Google Maps Scraper

General Tools

• Stealth Web Scraper
• Email Risk Validator
• Phone Number Intelligence

→ Browse the full profile: apify.com/lentic_clockss