Every research discipline that studies cities and commerce runs the same play: export a structured, standardized dataset instead of building one from scratch. Pick your discipline 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.
Narrow to the city, district, or category the research question is actually about.
The same 36-column schema everywhere, ready for GIS software or a stats package.
Re-pull the same filter each semester to study change over time on a grant-friendly budget.
City-utilization and urban-development studies grounded in real commercial data.
Market-structure, retail, and franchise research for case studies and publications.
Real, structured teaching datasets for spatial-analysis and data-science coursework.