Canada's most comprehensive property datasets
Unlike Multiple Listing Service (MLS) data locked behind real estate board memberships and licensing, Houski provides open access to over 19 million Canadian properties. Financial institutions, government agencies, insurers, marketers, and artificial intelligence (AI) developers can use our datasets page for immediate access to targeted property intelligence.
How the datasets page works
The datasets page makes it easy to find and purchase what you need:
- Select your location - filter by country, province, or city
- Browse 90+ pre-built datasets - each designed for specific industry use cases
- View pricing and sample data - click any dataset to see per-record costs and a preview
- Purchase and download - pay by credit card and download as a ZIP from your datasets dashboard
All datasets include latitude/longitude, postal codes, and standardized property attributes, ready for immediate use.
Dataset categories
Finance & Banking
- Top 10% household income - properties in areas where 20%+ of households earn $150,000+
- High-income professionals - areas with finance, management, and graduate-level education concentrations
- First-time homebuyer targets - high concentrations of 25-34 year olds for first-time homebuyer mortgage products
- Investment property returns - properties with 12%+ cap rates for investment lending analysis
- Luxury properties ($1.5M+) - for jumbo mortgages and private banking
- Commercial properties - filtered by zoning and use type, for commercial lending and site selection
Government & Municipal
- Assessment vs market value gaps - properties where assessments differ significantly from market value
- Aging housing stock - pre-1970 construction for retrofit and infrastructure planning
- Senior population concentrations - high 65+ populations for healthcare and transit planning
- Transit deserts - low transit accessibility for expansion planning
- Housing affordability stress - lower-income areas for housing policy development
Insurance
- Flood risk properties - the lowest flood safety scores (the highest-risk tier) for underwriting and premium pricing
- Fire risk properties - highest wildfire risk for exposure assessment
- Multi-hazard exposure - properties exposed to multiple natural hazards
- High-value home insurance - $2M+ properties for specialized coverage
Direct mail campaigns
- Roofs needing replacement - 15+ year old roofs for contractor campaigns
- HVAC systems due for replacement - aging heating systems for furnace/heat pump offers
- Homes with swimming pools - for pool maintenance and renovation services
- Large lot properties - 800+ sq m lots for landscaping and outdoor services
- Older homes for renovation - pre-1975 construction for general contractors
- Young family neighborhoods - high child populations for family services
Census & demographics
- Language communities - Chinese, Punjabi, Spanish, Tagalog, French-speaking areas
- Single-parent households - for family support services
- Empty nesters & retirees - for retirement services and downsizing
- University-educated areas - for professional services marketing
- Public transit commuters - for urban services and advertising
Quality of life & livability
- High quality of life areas - excellent air, safety, and nature scores
- Entertainment and dining districts - high food/drink and entertainment scores
- Top school districts - excellent education scores for family marketing
Premium location features
- Waterfront properties - premium lakefront, riverfront, oceanfront
- Golf course properties - properties backing onto golf courses
- Cul-de-sac homes - safer streets with lower traffic
- Properties with RV parking - for outdoor enthusiast marketing
Pricing
- Costs vary by complexity (typically 0.5-2 cents per record)
- Minimum purchase is $99 USD
- Total price shown before purchase based on record count
A dataset of 50,000 properties at 1 cent per record costs $500 USD.
Download and access
Purchased datasets appear in your datasets dashboard where you can:
- See all purchases with dates
- Download each as a ZIP
- Re-download anytime
API access for the same data
Everything on the datasets page is also accessible via our property API. Use the API for:
- Real-time queries instead of bulk downloads
- Integration into existing systems
- Custom filtering beyond pre-built datasets
- Programmatic access for automation
Same data, same per-record pricing, added flexibility.
Use case: LLM and AI training data
For AI developers, Houski datasets are ideal for training and fine-tuning large language models (LLMs):
- Structured, consistent data - 200+ standardized fields per property
- Comprehensive coverage - all 19M+ properties, not just listings
- Rich context - demographics, valuations, risk scores, and property characteristics
- Machine-ready format - CSV/JSON ready for training pipelines
We would loop through results from a call like this and turn each row into a question-answer pair for fine-tuning. The block below is a live call against the real API, the request code and the JSON response are generated every time this page is rendered:
const houski_data = async (): Promise<PropertiesResponse> => {
// You must copy the PropertiesResponse type declarations from the
// Houski API documentation to strongly type the response
const url = new URL('https://api.houski.ca/properties');
url.searchParams.set('api_key', 'YOUR_API_KEY');
url.searchParams.set('city', 'calgary');
url.searchParams.set('country_abbreviation', 'ca');
url.searchParams.set('province_abbreviation', 'ab');
url.searchParams.set('select', 'address,property_type,bedroom,bathroom_full,interior_sq_m,estimate_sale_price');
const response = await fetch(url);
const data = await response.json();
return data;
}
(async () => {
let data: PropertiesResponse = await houski_data();
// Log the response
console.log(data);
})();
{
"cache_hit": false,
"cost_cents": 2.5799999237060547,
"data": [
{
"address": "31 Hawkside Park NW",
"bathroom_full": 3,
"bedroom": 3,
"estimate_sale_price": 652319,
"interior_sq_m": 126.34708404541016,
"property_id": "10000f97f5cb7b9f",
"property_type": "Duplex"
},
{
"address": "6 1744 7 Street SW",
"bathroom_full": 2,
"bedroom": 3,
"estimate_sale_price": 826706,
"interior_sq_m": 125.882568359375,
"property_id": "10004f7afe0c1946",
"property_type": "House"
},
{
"address": "384 Copperpond Landng SE",
"bathroom_full": 2,
"bedroom": 3,
"estimate_sale_price": 441172,
"interior_sq_m": 125.882568359375,
"property_id": "10007f9761f49940",
"property_type": "House"
},
{
"address": "239 Dalhurst Way NW",
"bathroom_full": 2,
"bedroom": 3,
"estimate_sale_price": 1012722,
"interior_sq_m": 108.46339416503906,
"property_id": "100086f6bc064d3f",
"property_type": "House"
},
{
"address": "52 Cedargrove Way SW",
"bathroom_full": 1,
"bedroom": 3,
"estimate_sale_price": 614848,
"interior_sq_m": 136.4734344482422,
"property_id": "1000c277cd905d3b",
"property_type": "House"
},
{
"address": "28 Sundown Gr SE",
"bathroom_full": 3,
"bedroom": 3,
"estimate_sale_price": 781636,
"interior_sq_m": 172.61241149902344,
"property_id": "1001109ab2aebbc0",
"property_type": "House"
}
],
"error": "",
"pagination": {
"current_page": 1,
"has_next_page": true,
"has_previous_page": false,
"page_total": 113490
},
"price_quote": false,
"result_total": 680936,
"time_ms": 73,
"ui_info": {
"city": "Calgary",
"city_id": "6ec95b53075d062c",
"city_link": "ca/ab/calgary",
"city_slug": "calgary",
"country": "Canada",
"country_abbreviation": "CA",
"country_abbreviation_id": "9ace2b6431b7f1be",
"country_abbreviation_link": "ca",
"country_slug": "canada",
"province": "Alberta",
"province_abbreviation": "AB",
"province_abbreviation_id": "aae1f05a0f89d2c7",
"province_abbreviation_link": "ca/ab",
"province_slug": "alberta"
}
}
Custom datasets
Need something specific? Contact us to discuss:
- Custom field selection
- Specific geographic boundaries
- Historical data requirements
- Recurring data delivery
- Enterprise pricing for large volumes
Get started
- Visit the datasets page
- Select your target location
- Browse available datasets
- Click "View" to see pricing and sample data
- Purchase and download
No real estate license required. No board membership needed.
