Store coordinates, contact info, operating hours, competitor density maps, and foot traffic estimates across US retail — structured for chain expansion planning, franchise strategy, and real estate site selection.
Retail chains, franchise operators, real estate developers, and consumer brands all need the same dataset: structured location data on every store, restaurant, or service location in their target geography. We extract from Google Maps, Yelp, store locators, and public directories — and deliver geo-rich datasets that drive site selection, competitive analysis, and territory planning.
Store name, brand, location type, full address, latitude/longitude, phone, website, hours of operation.
Number of competing stores within configurable radius (1mi, 5mi, 10mi) around any target location.
Where Google or Yelp surface popular-times data, foot traffic patterns are captured. Useful for understanding location performance.
Compare your store footprint vs every relevant competitor across the US — count, distribution, gap analysis.
Drive-thru, delivery available, curbside pickup, dine-in, and amenities flags where surfaced publicly.
Quarterly or monthly refresh detects closed locations, new openings, and chain expansion or contraction.
| Brand | Store ID | Address | City/State | Latitude | Longitude | Hours | Competitors (5mi) | Captured (UTC) |
|---|---|---|---|---|---|---|---|---|
| Starbucks | SBX-14021 | 1240 Main St | Austin, TX 78701 | 30.2672 | -97.7431 | 5am–10pm | 8 cafes | 2026-05-19 10:30 |
| Chipotle | CHP-2294 | 88 Mission St | San Francisco, CA 94105 | 37.7891 | -122.3985 | 11am–10pm | 14 QSR | 2026-05-19 10:30 |
| Target | TGT-4471 | 402 Oak Ave | Phoenix, AZ 85003 | 33.4484 | -112.0740 | 7am–11pm | 3 big-box | 2026-05-19 10:30 |
Sources we typically cover: Google Maps · Yelp · Foursquare · Apple Maps (public listings) · Direct retailer store locators · OpenStreetMap · Government business registries
Identify white-space markets where your store density is low and competitor density is also low — perfect for expansion.
Evaluate franchise territory opportunities with competitor density, traffic patterns, and demographic overlays.
Power site selection tools with structured location data, competitor proximity, and traffic signal layers.
Map where target customers shop — understand retail distribution patterns and partner store coverage.
30-min call to confirm sources, fields, frequency, and output schema.
Sample dataset delivered for your team to validate coverage and quality.
Scheduled jobs, monitoring, retries, reporting — backed by uptime SLA.
Yes — full US coverage is achievable for any chain with a public locator or Google Maps presence. Single-location independents are also reachable but at higher per-record cost.
We capture publicly surfaced popular-times signals (Google's busy times). True foot traffic counts require licensed mobile data providers — we can integrate that data on request but do not generate it directly.
Latitude/longitude are validated to street-address level for over 98% of captured locations. Where validation fails, the record is flagged.
Yes — for any custom location set, we compute competitor counts within configurable radii. Useful for territory scoring and site evaluation.