🇨🇦 Realtor.ca Property Scraper — Canadian MLS Listings + Market KPIs 🚀

🎉 NEW: The only Canadian Realtor.ca scraper on Apify with tiered pay-per-event pricing — FREE $0.030 → flat $0.003 at GOLD

Built for Canadian real estate investors, brokerages, market analysts, lead-gen teams, PropTech builders, and investment underwriters who need reliable Realtor.ca MLS data at scale.

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📋 Overview

Pull every Realtor.ca listing in your target Canadian market and ship clean, normalized rows straight into your dataset — no proxies, no headless browsers, no broken scrapes. This actor wraps the full Realtor.ca surface (sale + rent, every province, every postal code) and gives you a single-property lookup mode with agents, history, and mortgage deep links — so you can underwrite a Canadian deal in minutes, not days.

Why Canadian investors, brokerages, and PropTech teams choose us:

• ✅ Nationwide Canadian coverage — all 10 provinces + 3 territories, sale and rent in one feed, filtered client-side via the listingType flag. Toronto, Vancouver, Montréal, Calgary, Ottawa, Edmonton — every market, one actor.
• ⚡ 6 search modes — location (city + province), Canadian postal code (A1A 1A1), coordinates + radius (km), polygon, Realtor.ca URL, plus single-property lookup by ID / address / URL. Most community scrapers ship 1–2.
• 🎯 Property lookup with full detail block — agents (name, phone, email, brokerage), property history, open house schedule, mortgage calculator deep links, building features (basement, exterior finish, appliances, fire protection, amenities), land features (frontage, depth, sewer).
• 💰 Tiered Idealista-style curve — FREE $0.030 → flat $0.003 at GOLD. Beats every Canadian community-scraper rate ($5–15 / 1,000 results) at scale, and we charge per-listing, not per-page.
• 💎 Canadian quirks normalized — "5 + 1" bedrooms split into above-grade + basement totals; metric m² sizes converted to imperial sqft (1 m² = 10.7639 sqft); postal codes normalized to A1A 1A1; CAD-formatted tax strings parsed to integers.
• ✨ NEW: HTML market report per run — median list price (CAD), $/sqft distribution, top cities, top provinces, sale/rent split, per-query totals — saved automatically to the key-value store, no extra cost.

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✨ Features

• 🏙️ Search by Location — "City, Province" (e.g. "Toronto, ON", "Vancouver, BC", "Montréal, QC")
• 📮 Search by Postal Code — Canadian A1A 1A1 format, with or without space (normalized internally)
• 📍 Search by Coordinates — Lat/lon + radius in kilometres for tight neighbourhood targeting
• 🗺️ Polygon Search — Custom multi-point lat/lon boundaries for irregular markets (ski-resort zones, waterfronts, neighbourhood-level)
• 🔗 URL Search — Paste a Realtor.ca search URL; we mirror what you see in the browser
• 🆔 Single-Property Lookup — Direct fetch by Realtor.ca property ID, full address, or URL — returns the rich detail block
• 🏷 Sale + Rent Filter — One feed, one listingType flag (sale / rent / both)
• 👥 Agents Data — Name, phone, email, brokerage on every lookup row
• 📜 Property History — Past list dates, price changes, status transitions
• 💵 Mortgage Deep Links — Pre-filled mortgage calculator URLs for downstream lead-gen workflows
• 📊 Market KPIs in CAD — Median list price, $/sqft, beds / baths / sqft distributions, top cities, top provinces, property-type and transaction-type breakdowns
• 📑 HTML Market Report — Auto-generated, saved to the run's key-value store at report.html
• 📦 Bulk Inputs (PAID) — Multiple cities, postal codes, URLs, property IDs, or addresses in one run
• 🔁 Auto-Pagination — Drains every search query (50/page) up to your maxResults cap
• 🧹 Smart Deduplication — Same property never pushed twice across paginated pages

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🎬 Quick Start

Pick a search mode, hand us a Canadian location (or postal code, coordinates, polygon, URL, property ID), choose your listingType, and run. Listings stream straight into the Apify dataset; the HTML market report saves to the run's key-value store at report.html.

curl -X POST https://api.apify.com/v2/acts/sian.agency~realtor-ca-property-scraper/runs?token=[YOUR_TOKEN] \
-H 'Content-Type: application/json' \
-d '{"searchMode": "location", "location": "Toronto, ON", "listingType": "sale", "maxResults": 100}'

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🚀 Getting Started (3 Simple Steps)

Step 1: Pick a search mode

Choose one of: location, postalCode, coordinates, polygon, url, or lookup. For most workflows, location is the simplest entry point ("Toronto, ON", "Vancouver, BC").

Step 2: Set your filters

Set listingType to sale, rent, or both (default). Set maxResults to cap the run (FREE tier always tops out at 25 listings; PAID has no ceiling).

Step 3: Hit run

The first 25 listings are free (no credit card). Watch the dataset fill in real time. Download as JSON / CSV / Excel / RSS / JSONL / XML directly from the Apify UI.

That's it! In under 5 minutes, you'll have:

• A clean, normalized dataset of Realtor.ca listings with 40+ fields
• Median list price (CAD), $/sqft, and distribution KPIs computed
• An HTML market report you can share with clients or your team

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📥 Input Configuration

Field	Type	Required	Description
searchMode	string	Yes	One of: location, postalCode, coordinates, polygon, url, lookup
listingType	string	No	both (default), sale, or rent. Client-side filter on Realtor.ca's mixed feed
maxResults	integer	No	1–1,000, default 50. FREE tier is always capped at 25 per run
location	string	Conditional	"City, Province" (e.g. "Toronto, ON") — used when searchMode=location
locations	array	PAID	Bulk locations array — PAID tier only
postalCode	string	Conditional	Canadian postal code A1A 1A1 (space optional) — used when searchMode=postalCode
postalCodes	array	PAID	Bulk postal codes
latitude / longitude	number	Conditional	Centre point for coordinates mode
radius	number	Optional	Search radius in kilometres (coordinates mode)
polygon	string	Conditional	"lon lat,lon lat,..." (≥3 points, space-separated pairs, comma-separated points)
url	string	Conditional	A Realtor.ca search URL — used when searchMode=url
urls	array	PAID	Bulk Realtor.ca search URLs
lookupBy	string	Conditional	propertyId, address, or url — used when searchMode=lookup
propertyId	string	Conditional	Realtor.ca numeric property ID
address	string	Conditional	Full Canadian address
propertyIds / addresses	array	PAID	Bulk lookup inputs

Example — Toronto for-sale listings:

{
  "searchMode": "location",
  "location": "Toronto, ON",
  "listingType": "sale",
  "maxResults": 100
}

Example — Vancouver rentals only:

{
  "searchMode": "location",
  "location": "Vancouver, BC",
  "listingType": "rent",
  "maxResults": 50
}

Example — Canadian postal code lookup:

{
  "searchMode": "postalCode",
  "postalCode": "M5V 2H1",
  "listingType": "both"
}

Example — Polygon-bounded neighbourhood scan (downtown Toronto):

{
  "searchMode": "polygon",
  "polygon": "-79.395 43.660,-79.380 43.660,-79.380 43.650,-79.395 43.650",
  "listingType": "sale",
  "maxResults": 200
}

Example — Single-property full details:

{
  "searchMode": "lookup",
  "lookupBy": "propertyId",
  "propertyId": "29768213"
}

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📤 Output

Results are saved to the Apify dataset with 40+ fields per listing including:

Field	Type	Description
propertyId	string	Realtor.ca numeric ID
mlsNumber	string	Canadian MLS reference number
transactionType	string	"For sale", "For rent", or null
status	string	Active / sold / pending
propertyType	string	Single Family, Condo Apartment, Multi-family, etc.
ownershipType	string	Freehold, Condominium, Leasehold
address.line	string	Street line (e.g. "44 WALLACE STREET")
address.locality	string	City + province + postal (e.g. "Vaughan (West Woodbridge), Ontario L4L2P3")
address.full	string	Combined display string
address.postalCode	string	Normalized to A1A 1A1
address.province	string	Two-letter (ON, BC, QC, AB, ...)
latitude / longitude	number	Geo coordinates (coerced from upstream strings)
listPriceCad	number	Parsed from priceUnformatted (CAD integer)
priceDisplay	string	CAD-formatted string (e.g. "$1,495,000")
pricePerSqft	number	Computed CAD per sqft
taxAmount	integer	Annual property tax in CAD (parsed from "$5,349" string)
specs.beds	integer	Total bedrooms
specs.bedsAboveGrade	integer	Above-grade bedrooms (parsed from "5 + 1")
specs.bedsBelowGrade	integer	Basement bedrooms (parsed from "5 + 1")
specs.bathrooms	integer	Total bathrooms
specs.halfBaths	integer	Half / powder rooms
specs.sizeInterior	object	{ value, unit, sqftDerived } — handles "232.2557 m2" or "2500 sqft"
building	object	Constructed date, amenities, appliances, basement type, exterior finish, fire protection, cooling, age
land	object	Total size, frontage, depth, sewer type
tags	array	Realtor.ca display tags ("New", "Open House", "17 min ago")
photoUrl	string	Primary photo URL
photoUrls	array	All listing photo URLs
photoCount	integer	Total photo count
description	string	Public remarks / listing description
agents	array	(lookup only) [{ name, phone, email, brokerage }, ...]
history	array	(lookup only) Past list dates + price changes
openHouse	object	(lookup only) Open house schedule
mortgageLinks	object	(lookup only) Pre-filled mortgage calculator URLs

Example row (truncated):

{
  "propertyId": "29768213",
  "mlsNumber": "N8123456",
  "transactionType": "For sale",
  "propertyType": "Single Family",
  "ownershipType": "Freehold",
  "address": {
    "line": "44 WALLACE STREET",
    "locality": "Vaughan (West Woodbridge), Ontario L4L2P3",
    "postalCode": "L4L 2P3",
    "province": "ON"
  },
  "latitude": 43.7889,
  "longitude": -79.5996,
  "listPriceCad": 1495000,
  "priceDisplay": "$1,495,000",
  "pricePerSqft": 598,
  "taxAmount": 5349,
  "specs": {
    "beds": 6,
    "bedsAboveGrade": 5,
    "bedsBelowGrade": 1,
    "bathrooms": 4,
    "sizeInterior": { "value": 232.2557, "unit": "m2", "sqftDerived": 2500 }
  },
  "tags": ["New", "Open House"],
  "photoCount": 32
}

An HTML market report is also saved to report.html in the run's key-value store — median list price (CAD), $/sqft distribution, top cities, top provinces, sale/rent split, per-query totals, and property-type breakdowns.

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💼 Use Cases & Examples

1. Canadian real-estate investor underwriting

A residential investor sizing up a Toronto or Vancouver acquisition.

Input: City + province (e.g. "Toronto, ON") with listingType=sale and maxResults=500 Output: Every active for-sale listing with list price (CAD), $/sqft, beds (above + below grade), annual tax amount, agent contacts, full building features Use: Build comp sets, score deals against neighbourhood medians, defend offers to lenders with real per-listing data — not aggregator averages.

2. Comparative Market Analysis (CMA) for brokerages

A Toronto/Montréal brokerage shipping CMA decks to vendor clients.

Input: Postal code or polygon around the subject property Output: Median list price, $/sqft distribution, sale/rent split, top property types, plus the auto-generated HTML market report Use: Ship CMA reports to clients in minutes instead of hours. Drop the HTML report straight into a vendor pitch — it's pre-formatted and shareable.

3. Lead-gen prospecting from province-targeted searches

A Canadian real-estate SaaS or referral business building outreach lists.

Input: City + province + listingType=sale, plus lookup mode for each top result to pull agent data Output: Full listings + agents (name, phone, email, brokerage) per property Use: Build buyer/seller outreach lists or agent-poaching pipelines for Toronto, Vancouver, Montréal, Calgary, Ottawa, Edmonton — wherever Realtor.ca has coverage.

4. PropTech inventory + price monitoring

A Canadian housing dashboard or price-trend product running weekly snapshots.

Input: Polygon or city, scheduled weekly via Apify's built-in cron Output: Deltas in inventory count, median list price, $/sqft week-over-week Use: Feed Canadian housing dashboards, price-trend product features, investor newsletters, or real-time alerting for inventory spikes / price drops.

5. Investment-property due diligence

An out-of-town buyer or institutional acquirer running deal-by-deal due diligence.

Input: Property ID, full address, or Realtor.ca URL via lookup mode Output: Full detail block — agents, property history, open house schedule, mortgage calculator deep links, building features (basement, exterior finish, appliances, fire protection, amenities), land features (frontage, depth, sewer) Use: Skip the manual Realtor.ca click-through. Pull every public data point on a property into your DD spreadsheet or CRM in one API call.

6. Rental market sizing for STR / LTR operators

A long-term or short-term rental operator entering a new Canadian market.

Input: City + province with listingType=rent Output: Active rental inventory, rent distribution, beds / baths / sqft breakdowns, top neighbourhoods Use: Compute total addressable rental supply, identify undersupplied bedroom counts, set competitive rent benchmarks before signing a lease or buying a multi-family.

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🔗 Integration Examples

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('sian.agency/realtor-ca-property-scraper').call({
  searchMode: 'location',
  location: 'Toronto, ON',
  listingType: 'sale',
  maxResults: 200
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0].listPriceCad, items[0].pricePerSqft, items[0].address.full);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')

run = client.actor('sian.agency/realtor-ca-property-scraper').call(run_input={
    'searchMode': 'location',
    'location': 'Vancouver, BC',
    'listingType': 'sale',
    'maxResults': 100,
})

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item['address']['full'], item.get('listPriceCad'), item.get('pricePerSqft'))

cURL

curl -X POST 'https://api.apify.com/v2/acts/sian.agency~realtor-ca-property-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"searchMode": "location", "location": "Montréal, QC", "listingType": "sale", "maxResults": 150}'

Automation Workflows (N8N / Zapier / Make)

1. Trigger: Weekly schedule (Mondays 06:00 ET) or webhook from your CRM
2. HTTP Request: Call the actor with your saved polygon or city list
3. Process: Read the dataset, compute deltas vs. the previous run
4. Action: Push new listings / price-drop alerts to Slack, email, a Notion database, or your investor portal

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📊 Performance & Pricing

FREE Tier (Try It Now)

• 25 listings per run — full feature access, identical data quality
• All 6 search modes available
• No credit card required
• Perfect for testing a Canadian market before you commit

PAID Tier (Production Ready)

• Unlimited listings per run
• Bulk inputs (multiple cities, postal codes, URLs, property IDs in one run)
• Volume-tiered pricing — the more you scrape, the cheaper each listing becomes
• Pay-per-event: only charged for listings successfully extracted

Headline pricing — ListingExtracted event:

Tier	Price / listing
FREE	$0.030
BRONZE ($20 spend)	$0.005
SILVER ($100 spend)	$0.004
GOLD ($500 spend)	$0.003
PLATINUM ($2,000 spend)	$0.003
DIAMOND ($5,000 spend)	$0.003

Plus apify-actor-start at a flat $0.005 per run (charged once after input validation passes).

💰 Best price on the market at scale — Canadian community scrapers charge $5–15 per 1,000 results with no volume curve. At GOLD floor ($0.003 × 1,000 = $3.00), we beat every alternative on the headline event and ship full single-property lookup data on the same row price.

🔗 View live pricing on the actor page

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❓ Frequently Asked Questions

Q: How many listings can I process? A: FREE tier: 25 per run. PAID tier: unlimited. The tier curve drops the per-listing price at $20, $100, $500, $2,000, and $5,000 of lifetime spend on the actor.

Q: Sale + rent — how is the split handled? A: Realtor.ca returns sale and rent listings in one mixed feed. We apply a client-side filter via the listingType input (sale / rent / both). The filter runs after the upstream response so you can pull both sides in one run if you want a full inventory snapshot.

Q: Does this scrape sold-price data? A: No. Realtor.ca hides sold price and sold date on the consumer-facing website. This scraper only exposes what Realtor.ca makes publicly visible, so sold price/date is not returned. For sold data, you need an MLS board membership or the agent-side MLS feed.

Q: How do I search by Canadian postal code? A: Set searchMode=postalCode and pass any Canadian postal in A1A 1A1 format. The space is optional — "M5V 2H1" and "M5V2H1" are both accepted, and we normalize to the spaced format internally. Do NOT pass US 5-digit ZIP codes; they will return zero results.

Q: What's the difference between coordinates and polygon mode? A: coordinates mode uses a circle: centre point (lat/lon) + radius in km. polygon mode uses an arbitrary closed shape: at least 3 lat/lon points. Use coordinates for "everything within 5 km of downtown"; use polygon for irregular shapes like a riverfront strip, a ski-resort zone, or a custom neighbourhood boundary.

Q: What does single-property lookup return that search modes don't? A: The lookup mode hits Realtor.ca's full detail endpoint and returns agents (name, phone, email, brokerage), property history (past list dates + price changes), open house schedule, mortgage calculator deep links, full building features (basement, exterior finish, appliances, fire protection, amenities), and land features (frontage, depth, sewer). Search modes give you the listing summary; lookup gives you the full DD packet.

Q: How are "5 + 1" bedrooms handled? A: Realtor.ca uses CA-specific strings like "5 + 1" (5 above-grade + 1 in the basement). We parse these into three numeric fields: specs.beds (total = 6), specs.bedsAboveGrade (5), and specs.bedsBelowGrade (1). You can sort, filter, and aggregate without any string-parsing on your side.

Q: What about metric vs imperial sizes? A: Realtor.ca returns Quebec listings in m² and other provinces in sqft. The specs.sizeInterior object has { value, unit, sqftDerived } — sqftDerived is always normalized to imperial sqft (1 m² = 10.7639 sqft) so you can run cross-province KPIs without unit conversion.

Q: What output formats are available? A: JSON, CSV, Excel, RSS, JSONL, and XML — export directly from the Apify dataset UI or via the API.

Q: Is this legal? A: Yes — we only extract publicly available Realtor.ca data. See our legal section below.

Q: How long does processing take? A: ~1–2 seconds per listing in search modes (50 per page, auto-paginated). Single-property lookup mode is ~2 seconds per ID. A 200-listing Toronto run completes in 3–5 minutes.

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🐞 Troubleshooting

The dataset is empty after a successful run.

• Check that searchMode matches the input field you provided (e.g. location mode needs location; postalCode mode needs postalCode; lookup mode needs lookupBy + the matching ID/address/URL).
• On FREE tier, only 25 results return per run — if your search has fewer than 25 matches, that's the full set.
• If listingType=sale and the market is rentals-heavy (e.g. downtown Montréal condo blocks), try listingType=both to see the unfiltered feed.

Postal code search returns 0 results.

• Ensure you're using the Canadian A1A 1A1 format (one letter, one digit, one letter, optional space, one digit, one letter, one digit). Not a US 5-digit ZIP.
• The space is optional — "M5V2H1" and "M5V 2H1" both work; we normalize internally.
• Some Quebec rural postal codes have very low Realtor.ca coverage; try a coarser search via coordinates or location mode.

Polygon mode returns 0 results.

• Polygons need at least 3 distinct points.
• Format is "lon lat,lon lat,..." — longitude first, latitude second, space-separated within a pair, comma-separated between pairs. This is the opposite order from most "lat,lng" conventions, so double-check before debugging further.
• Polygons should be roughly closed (we don't require an explicit closing point; Realtor.ca closes implicitly).

Bedrooms field looks weird or is missing.

• Realtor.ca strings like "5 + 1" mean 5 above-grade + 1 in the basement. Don't read the raw upstream string — read our parsed fields: specs.beds (total), specs.bedsAboveGrade, specs.bedsBelowGrade.
• For commercial listings, beds is often null; check propertyType first.

Size is shown in m² instead of sqft.

• Quebec listings come from Realtor.ca in metric. Use specs.sizeInterior.sqftDerived — it's always normalized to imperial sqft regardless of the upstream unit (1 m² = 10.7639 sqft).
• The original value and unit are preserved in specs.sizeInterior.value and specs.sizeInterior.unit if you need them.

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⚖️ Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by Canadian regulations such as PIPEDA (Personal Information Protection and Electronic Documents Act) and provincial equivalents (Quebec's Law 25, British Columbia's PIPA, Alberta's PIPA). You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

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⚠️ Trademark Disclaimer

Realtor.ca® and REALTOR® are registered trademarks of The Canadian Real Estate Association (CREA). This Apify Actor is an independent third-party scraping tool. It is not affiliated with, endorsed by, sponsored by, or connected to Realtor.ca, CREA, or any of their subsidiaries. The Realtor.ca® name appears in this listing under nominative fair use, solely to identify the public platform whose publicly available listing data this tool helps you collect.

This tool does not provide access to Realtor.ca's internal systems, private APIs, member-only MLS feeds, partner data, or proprietary services. Users are responsible for ensuring their use complies with Realtor.ca's Terms of Service, CREA's policies, and all applicable Canadian federal and provincial laws (including PIPEDA, Quebec's Law 25, BC PIPA, and Alberta PIPA).

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🤝 Support

Join our active support community

• For issues or questions, open an issue in the actor's repository
• Check the SIÁN Agency Store for more automation tools
• 📧 apify@sian-agency.online

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