Planning and economic-development departments use catalog.xmap.ai to quantify over- and under-utilization by district, support rezoning proposals, and monitor business openings and closures.
Compare business density and category mix across districts to flag saturated or underserved corridors.
Ground a rezoning proposal in what's actually operating on a corridor today.
Track openings and closures over time as a leading indicator of corridor health.
Populate a resident-facing business directory with structured, categorized records.
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.
| Field | Type | Why it matters here |
|---|---|---|
| address / city / district / zip | string | The geography a planning report is organized around |
| category_level_1–3 | string | Groups businesses the way a zoning code does |
| chain_flag | boolean | Distinguishes independent business from national chains |
| open_status | string | Flags new openings and closures for economic monitoring |
A planning team exports every business location citywide, groups it by district and category, and compares density against population, surfacing corridors ripe for incentives and one at risk of vacancy.