For real estate & PropTech apps

Score a listing's walkability and amenities without a manual survey

Real estate search and PropTech platforms use catalog.xmap.ai to power nearby-amenity features, walkability scoring, and neighborhood-comparison tools directly from real business-location data.

WHAT YOU GET A downloadable CSV of business locations (name, address, coordinates, category, ratings, hours & more) filtered to exactly what you need.
Top use cases
Nearby-amenity features

Show cafes, gyms, and grocery stores near a listing without manual curation.

Walkability & convenience scoring

Compute a walk-score-style metric from real nearby business density.

Neighborhood comparison tools

Let buyers compare commercial character across candidate neighborhoods.

Commercial-real-estate underwriting

Feed co-tenancy and traffic signals into a CRE valuation or underwriting model.

What is catalog.xmap.ai

catalog.xmap.ai is a self-serve database of 140M+ real business locations across 40+ countries. Every record is an actual, physically-located business (not an estimate) with up to 36 structured fields: name, full address, latitude/longitude, category (three levels deep), brand and chain affiliation, hours of operation, phone and website, star rating and review count, open/closed status, and more.

You filter the catalog by category, brand, or geography in a live web interface, watch the matching record count update as you narrow the search, and export the results as a clean CSV file, ready to open in a spreadsheet, load into GIS software, or join against your own data.

The dataset refreshes every 30 days, so an export reflects recent openings, closures, and changes rather than a static snapshot from years ago.

140M+
Locations
40+
Countries
36
Fields per record
30 days
Refresh cycle
Built to integrate
GET /v1/search?category=cafe,gym,grocery
 &near=37.774,-122.419&radius_m=800
&fields=name,category,rating,lat,lon

# -> power a "nearby amenities" widget on any listing
Fields that matter most here
FieldTypeWhy it matters here
category_level_1–3stringDrives amenity-type filters (cafes, gyms, groceries, schools)
latitude / longitudefloatPowers walk-time and radius calculations from a listing
rating / review_countnumericSignals amenity quality, not just proximity
traffic_score / dwell_timenumericAdds a commercial-vitality signal to a neighborhood score
In practice
Building a nearby-amenities widget

A real estate search app queries the catalog around every listing's coordinates, surfaces the closest cafes, gyms, and grocery stores with ratings, and ships a "what's nearby" feature without maintaining its own POI database.

See it power your listings

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