Realtor.ca Scraper

Pull MLS-grade property listings and licensed real-estate agent profiles from Realtor.ca — asking prices, full Canadian addresses, GPS coordinates, building amenities, parking, brokerage details, agent phone numbers and social links, across every province and territory. One actor covers for-sale listings, rentals, and the realtor directory, so market analytics and agent prospecting run from a single configuration. Built for Canadian real estate investors, mortgage brokers, brokerage data teams, and CRM platforms that need current Realtor.ca data without building and maintaining a collection pipeline of their own.

Why This Scraper?

• Two record types, one actor — flip the mode dropdown between Property Listings and Real Estate Agents. Listings and the licensed-agent directory come from the same run configuration, with no second actor or second subscription.
• All 13 provinces and territories — search any Canadian city or region by name, from Toronto to Whitehorse. No per-province setup and no hand-built map coordinates.
• Sale and rent in one schema, never confused — every property row carries a priceType of sale or rent (100% of rows), so a rental row showing "$2,500/Monthly" can never be mistaken for a purchase price when you merge buy and rent runs into one table.
• Compound bedroom counts handled the way Ontario boards write them — a "3 + 1" listing arrives as bedrooms: 4 for filtering and bedroomsText: "3 + 1" so you keep the above-grade / below-grade split. On a Toronto run, 157 of 345 rows use the compound form.
• Both the Realtor.ca listing ID and the MLS number on every property — 100% fill on both, so rows join straight back to KW Command, Lone Wolf, or your own brokerage feed with no manual cross-walk.
• Building amenities as the board published them, not a checkbox — full strings like "Security/Concierge, Recreation Centre, Exercise Centre, Party Room, Storage - Locker". It is a condo-market field, published board by board, and we measured it: 63% of Toronto rows, 43% of Vancouver's, 13% of Calgary's, and none in Montreal or Winnipeg, so you know which markets carry the column before you run.
• Agent contact block that actually contains contacts — direct phone (99% of agent rows), full office street address (100%), personal website (43%), plus the agent's team or corporation name where they publish one.
• Four social profiles per agent — Facebook, Instagram, LinkedIn, and Twitter/X URLs lifted straight from the agent's Realtor.ca card.
• Dense metros are not capped at 600 — Realtor.ca limits any single query to 600 listings; this actor splits a busy city into progressively smaller map areas, up to 6 levels deep, so Toronto and downtown Vancouver keep producing past that ceiling.

Use Cases

Real Estate Investment & Analysis

• Compare asking prices across Canadian metros (Toronto vs. Calgary vs. Halifax)
• Track time-on-market by neighbourhood to spot softening segments
• Filter rentals by priceMax and bedroom count to model gross yield
• Build comparable-listing tables grouped by postal-code prefix (FSA)

Lead Generation for Real Estate Services

• Build agent call lists by city with phone number, brokerage, and office address
• Prospect new licensees by re-running the Real Estate Agents mode each month
• Rank the highest-volume brokerages in a target market by office name
• Target team leaders specifically using the corporation / team name field

Market Research & Data Enrichment

• Track property-type mix (condos vs. detached vs. agricultural) by region
• Map listings on a heatmap using the built-in GPS coordinates
• Enrich existing CRM rows with MLS number, listing URL, and listing-agent contact
• Measure amenity prevalence (concierge, gym, party room) across a condo market

Relocation & Property Search

• Aggregate listings from several cities into one spreadsheet
• Compare provinces side by side for cost-of-living research
• Watch one exact neighbourhood by pasting its map URL

Getting Started

Search Properties in a City

Just a location — defaults handle the rest.

{
    "mode": "properties",
    "location": "Toronto, ON",
    "maxResults": 100
}

Filtered Buy Search

Combine price, bedroom, and bathroom filters:

{
    "mode": "properties",
    "location": "Vancouver, BC",
    "transactionType": "buy",
    "propertyType": "residential",
    "priceMin": 500000,
    "priceMax": 1500000,
    "bedroomsMin": 3,
    "bathroomsMin": 2,
    "maxResults": 200
}

Rental Hunt with Price Cap

{
    "mode": "properties",
    "location": "Montreal, QC",
    "transactionType": "rent",
    "priceMax": 2500,
    "bedroomsMin": 2,
    "maxResults": 100
}

Find Real Estate Agents

{
    "mode": "agents",
    "location": "Calgary, AB",
    "maxResults": 50
}

Custom Map Area

Zoom into a neighbourhood on Realtor.ca and paste the URL from your address bar:

{
    "mode": "properties",
    "startUrls": [
        "https://www.realtor.ca/map#ZoomLevel=13&LatitudeMax=43.7&LongitudeMax=-79.3&LatitudeMin=43.6&LongitudeMin=-79.5"
    ],
    "maxResults": 500
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
mode	string	"properties"	Choose Property Listings or Real Estate Agents
location	string	"Toronto, ON"	City and province, e.g. "Vancouver, BC". If both this and Start URLs are empty, the run falls back to Toronto, ON — it does not sweep the whole country
startUrls	string[]	[]	Realtor.ca map URLs and agent directory URLs (e.g. https://www.realtor.ca/realtors/on/toronto). Single-listing pages are not supported. Overrides location when provided
maxResults	integer	200	Maximum results to collect. Set to 0 for everything available

Property Filters

These apply only in property mode and are sent to Realtor.ca's own search, so you collect only matching rows.

Parameter	Type	Default	Description
transactionType	string	"buy"	Buy or Rent
propertyType	string	"residential"	Residential, Commercial, or Farm / Agriculture
priceMin	integer	—	Minimum price (CAD)
priceMax	integer	—	Maximum price (CAD)
bedroomsMin	integer	—	Minimum bedrooms (0–10)
bathroomsMin	integer	—	Minimum bathrooms (0–10)

Output

One row per result. Property Listings and Real Estate Agents have separate field sets.

Property Listing Example

{
    "listingId": "27045321",
    "mlsNumber": "E9345812",
    "price": "$1,249,900",
    "priceNumeric": 1249900,
    "priceType": "sale",
    "address": "45 Broadview Ave",
    "city": "Toronto (Riverdale)",
    "province": "Ontario",
    "postalCode": "M4M2E4",
    "latitude": 43.6615,
    "longitude": -79.3522,
    "propertyType": "Single Family",
    "buildingType": "House",
    "ownershipType": "Freehold",
    "bedrooms": 5,
    "bedroomsText": "4 + 1",
    "bathrooms": 3,
    "sizeInterior": "1959.95 sqft",
    "stories": "2",
    "parkingSpaces": 2,
    "parkingType": "Garage",
    "amenities": "Exercise Centre, Party Room, Storage - Locker",
    "photos": [
        "https://cdn.realtor.ca/listing/TS638.../highres_1.jpg"
    ],
    "agentName": "Jane Smith",
    "agentPhone": "(416) 555-1234",
    "agentOffice": "Royal LePage Premium",
    "listingUrl": "https://www.realtor.ca/real-estate/27045321/45-broadview-ave-toronto",
    "timeOnMarket": "24 min ago",
    "listedDate": "2026-08-10T18:33:20Z"
}

Property Identity

Field	Type	Description
listingId	string	Unique Realtor.ca listing ID
mlsNumber	string	MLS listing number
listingUrl	string	Direct link to the listing on Realtor.ca
propertyType	string	"Single Family", "Vacant Land", "Agriculture", "Retail", etc.
buildingType	string	"House", "Apartment", "Row / Townhouse", etc.
ownershipType	string	"Freehold", "Condominium/Strata", etc.
timeOnMarket	string	How long the listing has been live, as Realtor.ca phrases it
listedDate	string	First-listed date and time (ISO 8601)

Address & Location

Field	Type	Description
address	string	Street address, including unit number where the board publishes one
city	string	City or municipality. Quebec and Ontario boards often append the neighbourhood, e.g. "Toronto (Riverdale)"
province	string	Province or territory name
postalCode	string	Canadian postal code
latitude	number	GPS latitude
longitude	number	GPS longitude

Price

Field	Type	Description
price	string	Price as displayed. Rentals keep their "/Monthly" suffix
priceNumeric	integer	Same value as a number, for sorting and charting
priceType	string	sale or rent — which kind of price this row carries

Size, Rooms & Building

Field	Type	Description
bedrooms	integer	Total bedrooms. Compound counts such as "4 + 1" are summed to 5
bedroomsText	string	The count exactly as the board wrote it, e.g. "4 + 1"
bathrooms	integer	Total bathrooms, compound counts summed the same way
sizeInterior	string	Interior size with its unit. Boards publish either imperial ("1404 sqft") or metric ("139.3534 m2")
stories	string	Number of stories. Published by some boards only
parkingSpaces	integer	Total parking spaces
parkingType	string	"Underground", "Garage", "Visitor", etc. (multi-value)
amenities	string	Building amenities as published, e.g. "Exercise Centre, Party Room, Storage - Locker". Published board by board, so fill swings by market: 63% of Toronto rows, 43% of Vancouver's, 13% of Calgary's, and none in Montreal or Winnipeg
photos	string[]	Listing cover photo at full resolution. Realtor.ca's search results carry the cover image only, so this is one URL per row

Listing Agent

Field	Type	Description
agentName	string	Listing agent's name
agentPhone	string	Listing agent's phone, formatted
agentOffice	string	Listing brokerage / office name

Agent Profile Example

{
    "individualId": "1234567",
    "name": "Michael Chen",
    "position": "Salesperson",
    "phone": "416-555-6789",
    "office": "RE/MAX First Realty",
    "officeDesignation": "Brokerage",
    "corporationName": "MRKT Group",
    "officeAddress": "123 Bay St, Toronto, ON M5J 2T3",
    "officeLogo": "https://cdn.realtor.ca/organizations/.../lowres/1242191.jpg",
    "photo": "https://cdn.realtor.ca/individual/.../photo.jpg",
    "website": "https://www.michaelchenrealty.ca",
    "profileUrl": "https://www.realtor.ca/agent/1234567/michael-chen-123-bay-st-toronto-ontario-m5j2t3",
    "facebook": "https://www.facebook.com/michaelchenrealty",
    "instagram": "https://www.instagram.com/michaelchenrealty",
    "linkedin": "https://www.linkedin.com/in/michael-chen-realty",
    "twitter": "https://www.twitter.com/mchenrealty"
}

Agent Identity & Contact

Field	Type	Description
individualId	string	Realtor.ca agent ID — always present
name	string	Agent's full name — always present
profileUrl	string	Agent's profile page on Realtor.ca — always present
phone	string	Direct phone number, on virtually every card
website	string	Agent's personal website, where they publish one (roughly 4 in 10)
photo	string	Agent's headshot URL, where they publish one. How many do varies by market, from about half a city's agents to nearly all of them
position	string	Role, e.g. "Salesperson" or "Broker". Published board by board — common in Ontario, absent in some Atlantic and Prairie markets

Brokerage

Field	Type	Description
office	string	Brokerage / office name — always present
officeAddress	string	Office street address — always present
officeLogo	string	Office logo image URL, on most cards (7 to 8 in 10)
corporationName	string	The agent's own team or corporation name, e.g. "MRKT Group", where they registered one
officeDesignation	string	Brokerage designation. An Ontario-board field: filled on about 99% of Toronto and Ottawa cards and on almost none elsewhere in Canada

Social Media

Field	Type	Description
facebook	string	Facebook profile URL
instagram	string	Instagram profile URL
linkedin	string	LinkedIn profile URL
twitter	string	Twitter / X profile URL

Tips for Best Results

• Name one city per run. "Toronto, ON" or "Vancouver, BC" finishes quickly. Leaving location empty does not sweep Canada — the run falls back to Toronto, so cover several regions by queueing one run per city or province, or by pasting several agent directory URLs into startUrls.
• Set maxResults to 0 when you want a whole city. A capped run in a large metro fills from one part of the map before moving on, so a 300-row cap on Toronto gives you a slice of the city rather than an even spread across it. Uncapped runs cover the full area.
• Read bedroomsText before you trust a bedroom count in the GTA. Ontario boards write "4 + 1" for a four-bedroom house with a finished basement bedroom. bedrooms gives you 5 for filtering, and bedroomsText tells you one of those rooms is below grade — a strong signal for in-law suites and rental potential.
• Filter before you collect, not after. priceMin, priceMax, bedroomsMin, and bathroomsMin go to Realtor.ca directly, so you pay only for matching rows instead of trimming a large dump on your side.
• Use the map URL for a tight neighbourhood. Zoom to the exact area on realtor.ca, copy the URL from your address bar, and paste it into startUrls. The map corners come straight from that link, so you get the polygon you drew and nothing outside it.
• Split sale from lease with priceType. If you merge a buy run and a rent run into one table, sort or group on priceType — $2,500/Monthly and $2,500,000 sit in the same price column otherwise.
• Key your CRM on listingId, join on mlsNumber. MLS numbers get reused when a property re-lists; listingId stays unique per Realtor.ca record, so use both together as a composite key.

Pricing

From $0.50 per 1,000 results — one flat rate for property rows and agent rows alike, and it is the same rate on every Apify discount tier, so a free-plan run costs exactly what a Gold-tier run costs.

Results	No discount	Bronze	Silver	Gold
100	$0.05	$0.05	$0.05	$0.05
1,000	$0.50	$0.50	$0.50	$0.50
10,000	$5.00	$5.00	$5.00	$5.00
100,000	$50.00	$50.00	$50.00	$50.00

A "result" is one property row or one agent row in your dataset. There are no compute or time-based charges — you pay per result, plus a small fixed fee each time a run starts. Standard Apify platform fees apply on top.

Integrations

Export results in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications when new listings appear
• Webhooks — Trigger downstream APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is intended for legitimate real estate research, market analysis, and prospecting. You are responsible for complying with applicable Canadian privacy laws (PIPEDA and provincial equivalents), CASL (Canada's Anti-Spam Legislation) when contacting agents, and Realtor.ca's Terms of Service. Do not use collected data for spam, harassment, or any illegal purpose, and respect the personal information of agents and listing parties.