At a Glance

Industry PropTech / real-estate technology
Market United States
Sources Loopnet (commercial), Redfin (residential), Apartments (rental)
Focus Listings, price/rent, specs, location, status
Delivery Real-time API (unified schema)

Who is this for? (ICP)

Best fit: A proptech platform, marketplace, or analytics product whose application needs live real-estate listing data — and whose engineers would rather call an API than build and maintain scrapers.

Core pain points this solves:

Commercial, residential, and rental listings come in three incompatible shapes.
Building and maintaining scrapers for each source pulls engineers off the product.
The product needs data on demand, not a nightly file dump.

Success looks like: One API call returns clean, normalized listings across all three source types — so the product team builds features instead of pipelines.

What was the challenge?

The client's product needed all three slices of the US market. But each source models the world differently:

Commercial listings speak in square feet, cap rates, lease types, and property class.
Residential listings speak in beds, baths, lot size, and sale price.
Rentals speak in monthly rent, lease terms, amenities, and unit availability.

Stitching those into one product experience meant either three separate integrations and three schemas — or a normalization layer nobody wanted to own. On top of that, their app needed on-demand queries, not a static daily file.

How was it solved?

Actowiz delivered a unified real-estate API:

Three sources, one schema — commercial, residential, and rental listings normalized into a consistent structure, with source-specific fields preserved where they matter.
On-demand querying — the client's application queries by location, price/rent band, property type, and other filters, and gets structured results back.
Scheduled refresh — the underlying data is kept current so API responses reflect the live market.
Listing continuity — listings that disappear and return are handled correctly, not treated as brand new.
Managed maintenance — when a source changes, Actowiz fixes it; the client's API contract stays stable.

That last point is the quiet win: the client's integration never breaks when a source site changes.

What did the output look like?

Illustrative sample data — not real listings.

Unified API response (normalized)

Listing ID	Type	Location	Price / Rent	Key specs	Status
CM-8801	Commercial	Area A	$2,400,000	12,000 sq ft · Class B	Active
RS-4420	Residential	Area B	$615,000	3 bed · 2 bath	Active
RN-7712	Rental	Area B	$2,150 / mo	2 bed · pet-friendly	Available
RS-4455	Residential	Area C	$489,000	2 bed · 1 bath	⚠ Price cut −4%

Source coverage

Source type	Fields normalized	Source-specific fields kept
Commercial	price, location, size, status	cap rate, lease type, class
Residential	price, location, beds/baths, status	lot size, year built
Rental	rent, location, beds, availability	lease term, amenities

What were the results?

Metric	Before	After
Integrations	3 separate builds	1 unified API
Schema	Three incompatible shapes	One normalized schema
Data access	Static files	On-demand queries
Maintenance	Client's engineers	Fully managed
Product focus	Split with pipelines	Back on core product

Key outcomes: one API instead of three integrations, a stable contract that survives source-site changes, and an engineering team freed from scraper maintenance.

Key takeaways

Commercial, residential, and rental listings need normalization to live in one product.
An API (not a file drop) is the right delivery when an application consumes the data live.
The real value of a managed API is stability: source sites change, the API contract doesn't.
Preserve source-specific fields (cap rate, lease term) alongside the normalized core.

Frequently asked questions

What is a real estate data API?

An interface that lets an application request structured property listing data — price, location, specs, and status — on demand, instead of scraping sites or processing static files.

Can commercial, residential, and rental data share one schema?

Yes. The core fields (location, price/rent, size, status) normalize cleanly, while source-specific fields like cap rate or lease term are preserved alongside them.

What happens when a source website changes?

The provider handles it. The client's API contract stays stable — which is the main reason teams choose a managed API over in-house scrapers.

Which US real-estate sources can be covered?

Commercial, residential, and rental listing sources — Loopnet, Redfin, Apartments, and similar platforms.

All client details anonymized. Figures and sample data are illustrative.

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