Travel-planning and hospitality apps use catalog.xmap.ai to power itinerary suggestions, points-of-interest around a stay, and local recommendations grounded in real, rated businesses.
Suggest nearby attractions, restaurants, and activities for a trip itinerary.
Show what's walkable near a hotel booking before the guest arrives.
Analyze a destination's commercial mix to shape marketing and content strategy.
Generate structured neighborhood guides from real, categorized business data.
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 |
|---|---|---|
| category_level_1–3 | string | Drives dining, attraction, and activity recommendations |
| rating / review_count | numeric | Ranks recommendations by quality signal |
| hours_of_operation | string | Avoids recommending a closed venue at the traveler's local time |
| latitude / longitude | float | Powers proximity-based itinerary suggestions |
A travel app queries the catalog around a confirmed hotel's coordinates, surfaces top-rated restaurants and attractions within walking distance, and ships a personalized itinerary suggestion without building a destinations database.