Canadian real estate, Realtor.ca

Realtor.ca API options: DDF®, board feeds and public listings

REALTOR.ca has no public API. Listing data reaches other websites through REALTOR.ca DDF®, which CREA runs for REALTORS® and broker owners, and through local board feeds. If you are neither, the remaining route is the public listing results anyone can see, which this site's Actor returns at $0.001 per listing. Here is who can use each route and what it gives you.

• No public API
• DDF® for members
• Public listings: $1 per 1,000
• 18 cities, newest first

The short answer

CREA describes REALTOR.ca DDF® as "a managed service for REALTORS® and broker owners who are looking to share listings with multiple third-party websites". Developers can join as DDF® technology providers, but only to build websites for REALTORS® (REALTOR.ca DDF® technology providers, both read October 6, 2026). There is no self-serve API key for anyone else.

Your options

If you are a member, or build sites for members, DDF® is the right route: it is CREA's own feed, with rules about how the listings may be shown. VOW feeds from local boards are where sold prices usually are, under each board's rules. For research, alerts or analysis on what is publicly listed right now, the public results are the practical option.

The public-listings route

The Realtor.ca Property Scraper reads the listing results REALTOR.ca shows any visitor and returns one row per active listing: MLS® number, asking price, beds, baths, interior size, property and ownership type, address, postal code, coordinates, listing date, photo, the listing link and the listing agent with brokerage and phone. It searches 18 cities only (Toronto, Mississauga, Brampton, Vaughan, Markham, Oakville, Hamilton, Ottawa, London, Vancouver, Surrey, Burnaby, Victoria, Calgary, Edmonton, Montreal, Winnipeg and Halifax), up to about 500 listings per city per run, newest first, so a big market returns its most recent listings rather than the whole market. The listings scraper guide has every field, the inputs and the setup.

What none of the public routes give you

• Sold prices and price history. The Actor returns active listings only. Sold prices come through board feeds, under board rules.
• Agent emails. REALTOR.ca doesn't publish them; rows carry the agent's name, brokerage and phone.
• Every listing in Canada. The Actor covers 18 cities and caps each one per run.

What it costs

All 18 cities at about 500 listings each is up to 9,000 listings: $9.00 plus the run start. Set the run's maximum cost to at least that before a run that size, or it stops early. Two other Realtor.ca Actors list similar per-listing prices on 2026-10-15: igolaizola/realtor-canada-scraper-ppe at $0.001 per listing on Free plus $0.0005 per run, and scrapemind/realtor-ca-scraper at $0.00099 on Free. Compare their inputs: if you need a city outside our 18, another Actor may cover it. More example code for the Realtor.ca Property Scraper is in the realtor-ca-data repository on GitHub.

Use it from an AI assistant

The Realtor.ca Property Scraper works as a tool in ChatGPT, Claude, Cursor and VS Code through Apify's hosted MCP server. Add this URL as a custom connector and sign in with your Apify account; runs bill to that account. Then ask in plain English, for example "get the 200 newest for-sale listings in Ottawa and give me the median asking price by bedrooms".

https://mcp.apify.com/?tools=fetch-actor-details,yugenox/realtor-ca-property-scraper

claude mcp add --transport http yugenox-realtor-ca-listings "https://mcp.apify.com/?tools=fetch-actor-details,yugenox/realtor-ca-property-scraper"

The AI setup guide walks through each client; use this URL in place of the YouTube or Instagram one.

Run it from code

The 100 newest for-sale listings in Calgary and Edmonton: 200 listings, $0.20 plus the run start.

// Save as run.mjs, then: npm i apify-client && APIFY_TOKEN=... node run.mjs
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor('yugenox/realtor-ca-property-scraper').call({
  locations: [
    "Calgary, AB",
    "Edmonton, AB"
  ],
  limitPerLocation: 100,
  transactionType: "sale",
  propertyType: "residential"
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const item of items) console.log(item.mlsNumber, item.priceValue, item.cityProvince);

import os
from apify_client import ApifyClient  # pip install apify-client

client = ApifyClient(os.environ["APIFY_TOKEN"])

run = client.actor("yugenox/realtor-ca-property-scraper").call(run_input={
    "locations": ["Calgary, AB", "Edmonton, AB"],
    "limitPerLocation": 100,
    "transactionType": "sale",
    "propertyType": "residential",
})
if run is None:
    raise RuntimeError("Run did not finish")

for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item.get("mlsNumber"), item.get("priceValue"), item.get("cityProvince"))

# Small jobs: runs the Actor and returns the rows in one call (up to 5 minutes).
curl -X POST "https://api.apify.com/v2/acts/yugenox~realtor-ca-property-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"locations":["Calgary, AB","Edmonton, AB"],"limitPerLocation":100,"transactionType":"sale","propertyType":"residential"}'

Not affiliated with or endorsed by The Canadian Real Estate Association (CREA) or REALTOR.ca. MLS® and Multiple Listing Service® are trademarks owned by CREA, and REALTOR® is a trademark controlled by CREA.

Last updated 2026-10-15.