Chain Location Data — McDonald's, KFC, Starbucks & 200+ chains
Complete store footprints for 200+ chains — every outlet with GPS, address, drive-thru and open date. Track expansion, whitespace and competition.
⚡ Free sample in 48 hours · No credit card · License by brand, region or country
Every chain outlet, mapped
The Chain Location Data set gives you the complete store footprint of 200+ restaurant and retail chains — every outlet with GPS, address, drive-thru flag and opening date.
Track expansion, closures and whitespace over time, normalized across 40+ countries.
Built for competitive intelligence, expansion planning and investment analysis.
Get answers like
- Outlet count per chain by metro
- New openings & closures this quarter
- Whitespace where a chain isn't yet
- Drive-thru penetration by brand
- Head-to-head footprint overlap
200+ brands, tracked continuously.
A snapshot of the chains in the dataset — we add brands on request.
Built for teams that track footprints
Competitive intel, expansion and investment teams that need full chain store networks.
Competitive Intelligence
Monitor where every competitor chain opens, closes and clusters.
Outcome: no expansion blind spots
Expansion & Real Estate
Find whitespace and cannibalization before picking new sites.
Outcome: smarter expansion
Investors & Analysts
Model chain growth and unit economics from real footprint data.
Outcome: defensible theses
Franchise Analysts
Benchmark franchise density and growth by brand and region.
Outcome: stronger franchise plans
Suppliers & Vendors
Target chains by outlet count and geography for B2B sales.
Outcome: bigger pipeline
Location Analytics
Feed footprint data into trade-area and catchment models.
Outcome: better catchment models
13 fields, outlet level.
Every location schema-validated and GPS-checked. Custom fields on request.
A live chain location data sample.
The actual data you'll receive — delivered as table, JSON, CSV, GeoJSON, API feed or map.
| Brand | Store ID | City | Lat / Long | Drive-Thru | Opened |
|---|---|---|---|---|---|
| McDonald's | US-04821 | Chicago, IL | 41.8819, -87.6278 | Yes | 2014-03 |
| Starbucks | SB-19204 | Seattle, WA | 47.6101, -122.3421 | Yes | 2011-08 |
| KFC | KFC-77310 | Louisville, KY | 38.2527, -85.7585 | Yes | 2009-05 |
| Subway | SUB-55120 | New York, NY | 40.7488, -73.9857 | No | 2016-11 |
| Chipotle | CMG-30417 | Denver, CO | 39.7392, -104.9903 | No | 2018-02 |
| Domino's | DPZ-61288 | Ann Arbor, MI | 42.2808, -83.7430 | No | 2013-07 |
Why teams choose our location data.
GPS-verified
Every location validated to rooftop/entrance accuracy — not approximate.
Geo-ready formats
CSV, JSON and GeoJSON with lat/long — drops straight into your maps and GIS.
Expansion deltas
Track new openings, closures and moves over time, not just a snapshot.
Compliant & ethical
Public location data only, clean sourcing, procurement-ready.
Any market
License a single metro or dozens of countries.
Free sample in 48h
Validate coverage and accuracy before you commit — no credit card.
Pairs well with these.
Chain Location Data FAQ
Get your free chain location data sample in 48 hours.
Tell us your target area and fields — we'll send a free sample so you can validate coverage and accuracy before licensing. No credit card, no commitment.
