Fitness equipment manufacturers use catalog.xmap.ai to find hotels, apartment complexes, corporate offices, and gyms with fitness amenities worth selling into, and to prioritize outreach by what's already there versus what needs an upgrade.
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.
Hotels, apartment complexes, and corporate offices all now buy fitness equipment, not just dedicated clubs.
Property owners increasingly compete on amenity quality, creating steady equipment-refresh demand.
A capital-equipment sale needs a warm, well-targeted lead list more than a cold territory search.
Find every hotel and apartment complex with an existing fitness amenity in a target region.
Export every gym and fitness studio in a territory as a sales-qualified lead list.
Catch newly opened hotels and residential complexes before a competitor equips them first.
Find office parks and campuses large enough to justify an on-site fitness facility.
Rank regions by density of qualifying venues to prioritize sales-team coverage.
See which venue types cluster where, to plan account-based outreach by segment.
Venue count with a fitness amenity across a target metro.
Every export carries 36 columns; these are the ones equipment sales teams use most.
| Field | Type | Why it matters here |
|---|---|---|
| category_level_1–3 | string | Identifies hotels, apartment complexes, gyms, and offices with fitness amenities |
| venue_hierarchy | string | Confirms a fitness room or gym is part of a larger property |
| brand_name / chain_flag | string / boolean | Identifies hotel and apartment brands worth a corporate-level pitch |
| phone / website | string | Builds a contactable lead list for capital-equipment sales |
| open_status | string | Flags newly opened properties before a competitor equips them |
| rating / review_count | numeric | Signals which properties are actively marketing their amenities |
| address / city / zip | string | Organizes prospects into sales territories |
| poi_id | string (hash) | A stable join key for tracking accounts across sales cycles |
A fitness equipment manufacturer wants to grow its hospitality segment. The team exports every hotel with a fitness amenity in a target region, filters to mid- and upscale brands most likely to refresh equipment, and hands the hospitality sales team a ranked account list instead of a generic hotel directory.
We'll pull a live sample for your category and market.