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BrightCat Listings

Every listing. Every signal. Before your competitors see it.

From first list to final sale: every price drop, relist, and status change.
Captured weekly across 5.8M+ Canadian properties since 2014.

Listings data covering every property, price change, and status update across the Canadian real estate market.

The full market, tracked week by week.
The lifecycle

Most companies see listings. You see intent.

Most providers show what's active today. That's a snapshot. BrightCat tracks the full lifecycle: what listed, what changed, what relisted, what sold. Every week. Every province. Every transition.

In data terms, listings data captures the full lifecycle of a property from initial listing through to final sale.

NEW
First appearance
STILL
Active, no changes
PRICE CHANGED
Price adjusted
RELISTED
Back on market
SOLD
Transaction confirmed

If you miss the lifecycle, you miss the signal.

Why this matters

Listings are the first signal in the entire market

Everything else happens after. Sold: after the deal. Rentals: after ownership decisions. PreMovers: inferred from listings.

Listings are where intent starts. If you don't see listings, you're already late.

If you don't see listings, you're already reacting: not competing.

What you get

118 columns per property. Every week.

Full property attributes, listing price and price changes, lifecycle status and transitions, days on market (current + cumulative), geocoded location, relist tracking and listing count.

118 columns per property. Updated weekly since 2014.

Each record is tied to a standardized property identifier, allowing consistent tracking across listing cycles.

Listings data covers the Canadian property market across all provinces and major metropolitan areas.

What a single week looks like
~50,000 new listings detected
~170,000 still active, unchanged
~15,000 price changes captured
~8,000 relists identified
~45,000 sold confirmations
Use cases

The foundation layer for property intelligence

Used for customer acquisition, risk monitoring, and market intelligence across Canada.

PreMover Targeting
Every new listing is a household about to move. Telecoms, insurers, and banks use this to reach customers at the moment of decision.
Market Analytics
Track supply, pricing pressure, and relist behaviour weekly: not quarterly.
Risk Intelligence
Repeated relists, price drops, and long DOM signal stress before it shows up in indices.
Collateral Monitoring
When a mortgaged property lists: that's a signal. When it drops price: it's a bigger one.
The data

This isn't a feed. It's the market.

5.8M+
Properties tracked
118
Columns per record
Weekly
Updates
2014
Tracking since
10
Provinces covered
Sale + Rent
Separate tracks

Used by telecoms, insurers, and financial institutions across Canada.

Updated weekly. Reflecting real-time market activity.

Delivery

Already inside your stack: and usable by AI

Snowflake Marketplace
Query live listings alongside your own data
Secure Data Share
Enterprise-grade delivery
MCP Connector
AI agents query live listings directly
Structured Files
Weekly files, immediate use
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Works with

Connected to all other BrightCat products

Common questions

About listings data

What is real estate listings data?
Listings data tracks properties from the moment they are listed for sale or rent, including price changes, status updates, and lifecycle events across the Canadian market.
What makes BrightCat listings data different?
BrightCat tracks the full lifecycle of every listing: including price changes, relists, and status transitions: not just active listings. This continuous tracking goes back to 2014.
How often is listings data updated?
Listings data is updated weekly, capturing all changes across 5.8M+ Canadian properties.
Can listings data identify movers?
Yes. A new listing is the earliest signal that a household is preparing to move, which powers BrightCat PreMovers.
Does listings data include historical records?
Yes. BrightCat tracks listings back to 2014, enabling full lifecycle and trend analysis across more than a decade of market activity.
Who uses listings data?
Listings data is used by telecom providers for customer acquisition, insurance companies for risk detection, banks and lenders for collateral monitoring, and real estate analytics teams for market intelligence.
How is listings data used for customer acquisition?
Listings data identifies households entering a move decision window, allowing companies to reach customers before competitors using post-move data.

Still have questions? Talk to our team.

Get started

See the lifecycle for yourself

Request a sample with real listings: every status, every price change, full property context.

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