Address validation, neighbourhood lookup, boundary rendering, demographic context — it's the same undifferentiated plumbing, rebuilt by every PropTech team from scratch. Neighbourly is the shared infrastructure layer. Drop it into your stack via REST or GraphQL and ship the product, not the data pipeline.
Neighbourly · PropTechBuilding location data infrastructure in-house means ingesting dozens of sources, reconciling schemas and maintaining spatial pipelines — before you write a line of product.
Every PropTech team building a Canadian product hits the same wall: the data they need to make their product useful is fragmented across municipal open data portals, provincial datasets, Statistics Canada releases, and Canada Post infrastructure. None of it is normalized. None of it is queryable by address. And none of it has a clean API surface that a developer can integrate in a sprint.
Neighbourly solves this at the infrastructure level. A single API key gives you access to address standardization and geocoding, neighbourhood boundaries with GeoJSON output, building permit history by address, census-derived neighbourhood demographics, energy ratings and utility estimates, environmental data (lakes, Crown land, wildlife zones), and points of interest — all queryable by address or coordinate, all returning clean JSON.
The result is that your team spends time on the product layer — the UI, the business logic, the user experience — rather than on data plumbing. The undifferentiated infrastructure is handled. The differentiated product is yours to build.
The specific, production-grade capabilities behind PropTech on Neighbourly — not features on a slide, but data and tooling you can ship on.
All ten layers — boundaries, addresses, real estate, neighbourhoods, demographics, permits, environmental, energy, schools and business — share one schema under a single API key. Adding a data domain to your product means calling another endpoint, not onboarding another vendor.
The same data is exposed over REST for simple endpoints and GraphQL for precise field selection, so your team picks the query model per surface. A single API key authenticates both.
The geographic hierarchy is denormalized onto every record and geometry is pre-computed, so common lookups avoid runtime spatial joins entirely. This is the difference between a predictable API call and maintaining your own PostGIS pipeline.
Push records of addresses or coordinates through the enrichment endpoints to attach consistent location attributes across an entire dataset. The output schema is stable, so downstream models and warehouses stay clean.
The location-by-slug endpoint pairs with boundaries, Neighbourhood Data and demographics to power programmatic SEO pages with clean URLs. You can generate an area-page network without hand-authoring content.
Start on the Starter plan with an API key and appropriate rate limits, then scale plans as usage grows. This lets a team prototype cheaply and move to production without re-architecting integration.
Ten data layers, one schema and one key — add a layer without adding a vendor.
Pre-computed geometry and pre-joined hierarchy for fast, predictable responses.
Build SEO location pages at scale on real boundaries and demographics.
Batch-enrich records with clean, consistent location attributes.
One integration replaces months of ingesting sources and maintaining spatial pipelines, so engineering time goes into your differentiator.
A single key, schema and support relationship removes the coordination cost of stitching many geospatial providers together.
Pre-computed geometry and tiered rate limits make both latency and spend easy to forecast as you scale.
You can launch on two layers and add environmental, energy or schools later without any new integration work.
Use the data yourself, have us build the whole thing, or bring in our team for strategy and analysis — whatever fits how you work.
Wire standardized PropTech data straight into your product or workflow — REST and GraphQL, one key, Canada-wide.
Explore the API →No engineering team? We design and build the PropTech tool, dashboard or platform on our data — you bring the idea, we ship it.
Start a build →Strategy, enrichment, analytics and measurement from our team, so your PropTech data turns into decisions and results.
See our services →Hosted in Canadian data centres, end to end.
Privacy-first by default, with provincial compliance built in.
Every layer shares a spine, so data joins cleanly.
Live, maintained data — never stale snapshots.
Common questions about this data and how to use it.
It adds address intelligence, neighbourhood boundaries, permits, demographics, and energy data to Canadian real estate products through one API.
Yes — REST endpoints, JSON/GeoJSON output, consistent RESO-aligned fields, and documentation for fast integration.
Most teams are up and running within a day with an API key. Choose a plan and you're set up with an API key and the right rate limits, then scale up as your usage grows.
Yes. Data can power your own UI, or we offer white-label products and embedded analytics.
One API with a consistent schema replaces months of ingesting sources, reconciling schemas and maintaining spatial pipelines — so your team ships product instead of plumbing.
By coordinate, address or bounding box, with a single API key, consistent JSON responses and Canada-wide coverage.
Ten layers under one key and schema: boundaries, addresses, real estate, neighbourhoods, demographics, permits, environmental, energy, schools and business.
Geometry is pre-computed and the hierarchy pre-joined onto every record, so queries avoid runtime spatial joins and stay fast and predictable.
Yes. Boundaries, demographics and neighbourhood content power SEO location pages at scale, with slug-based URLs via the location-by-slug endpoint.
Start on the Starter plan, which gives you an API key and rate limits suited to building and testing, then move up a plan when you are ready for production traffic.
Yes. Both interfaces sit over the same data under one key, so you can use GraphQL where you want tight field control and REST where a straightforward endpoint is simpler.
You can compose it client-side from the existing layers, or engage a custom build or data services so we deliver a derived dataset or endpoint matched to your product.
Re-run the same batch enrichment on a schedule; because the schema is stable, refreshed attributes drop into your existing tables without migration.
Usage-based, with no seat licences. See the pricing page for plan and contract terms.
Tell us about your product, your stack, and the Canadian data you're working with. We'll show you exactly what Neighbourly plugs in.