The data layer PropTech teams build on.
Ship faster with one API for boundaries, addresses, listings, demographics, permits and more — consistent schema, single auth token, no runtime spatial joins.
Building location data infrastructure in-house means ingesting dozens of sources, reconciling schemas and maintaining spatial pipelines — before you write a line of product.
What Neighbourly gives proptech teams.
The specific, production-grade capabilities behind proptech on Homicity — not features on a slide, but data and tooling you can ship on.
Unified ten-layer schema
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.
REST and GraphQL parity
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 header authenticates both.
Pre-joined hierarchy, no spatial joins
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.
Batch enrichment pipelines
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.
Slug-based location page engine
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.
Tiered access and rate control
Start on a Developer tier 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.
How PropTech teams use Neighbourly.
One integration
Ten data layers, one schema and one key — add a layer without adding a vendor.
Production-grade performance
Pre-computed geometry and pre-joined hierarchy for fast, predictable responses.
Programmatic location pages
Build SEO location pages at scale on real boundaries and demographics.
Enrichment pipelines
Batch-enrich records with clean, consistent location attributes.
Why proptech teams choose Homicity.
Build product, not plumbing
One integration replaces months of ingesting sources and maintaining spatial pipelines, so engineering time goes into your differentiator.
One vendor to reason about
A single key, schema and support relationship removes the coordination cost of stitching many geospatial providers together.
Predictable cost and performance
Pre-computed geometry and tiered rate limits make both latency and spend easy to forecast as you scale.
Room to grow into layers
You can launch on two layers and add environmental, energy or schools later without any new integration work.
Data layers for PropTech
The Neighbourly layers most relevant to this industry — all under one API key, one schema, Canada-wide.
Three ways to put Neighbourly to work for proptech.
Use the data yourself, have us build the whole thing, or bring in our team for strategy and analysis — whatever fits how you work.
Canadian data residency
Hosted in Canadian data centres, end to end.
PIPEDA-compliant
Privacy-first by default, with provincial compliance built in.
One consistent schema
Every layer shares a spine, so data joins cleanly.
Always current
Live, maintained data — never stale snapshots.
PropTech & Data Teams — common questions
Why use a location data API instead of building in-house?
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.
How is the Neighbourly API queried?
By coordinate, address or bounding box, with a single Api-Key header, consistent JSON responses and Canada-wide coverage.
What data layers are available through one API?
Ten layers under one key and schema: boundaries, addresses, real estate, neighbourhoods, demographics, permits, environmental, energy, schools and business.
How does Neighbourly keep responses fast at scale?
Geometry is pre-computed and the hierarchy pre-joined onto every record, so queries avoid runtime spatial joins and stay fast and predictable.
Can I build programmatic SEO location pages?
Yes. Boundaries, demographics and neighbourhood content power SEO location pages at scale, with slug-based URLs via the location-by-slug endpoint.
How do I get access to the API?
Choose a plan and you're set up with an Api-Key and the right rate limits. Start on the Developer tier and scale up as your usage grows.
How do we prototype before committing?
Start on the Developer tier, 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.
Can we mix REST and GraphQL in the same product?
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.
What if we need a data shape the API does not return directly?
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.
How do we keep enriched records fresh in our warehouse?
Re-run the same batch enrichment on a schedule; because the schema is stable, refreshed attributes drop into your existing tables without migration.
Bring Neighbourly to your proptech product.
Tell us what you're building and we'll map the right data layers and plan to your use case.