Any app or platform that touches physical places (navigation, delivery, store locators, GIS tooling) runs the same play: filter the catalog to what your feature needs, export or query it, and ship. Pick your category below.
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.
Category, geography, brand, narrow 140M+ locations to exactly the slice your product uses.
Bulk CSV for a one-time seed, or query the API for live lookups, both pay-per-record.
Keep your catalog current with a 30-day refresh cycle instead of a stale one-time import.
Power POI search and points-of-interest layers alongside your own routing data.
Seed a merchant and restaurant catalog before onboarding merchants directly.
Ship a "find a store near you" feature without manual data entry.
Add a business-location layer to a mapping or analytics product without building one from scratch.
Power nearby-amenity and walkability features on real listings.
Ground itinerary and local recommendations in real, rated places.
Build precise geofences and conquesting audiences around real locations.