Extract complete store network data from any brand's store locator website — every outlet, branch, kiosk, and service centre — with GPS coordinates, operating hours, phone numbers, services offered, and accessibility attributes. Delivered geocoded and ready to map.
We scrape store locator pages across every major consumer and B2B vertical — normalised into one consistent schema regardless of how the brand publishes their location data.
Every store locator record includes the full location context — identity, coordinates, hours, services, accessibility, and contact — ready to load into your GIS, CRM, or analytics platform.
A snapshot from a multi-brand store locator extract across Mumbai and Pune.
| brand | store_name | format | locality | city | phone | hours | lat | lng | services |
|---|---|---|---|---|---|---|---|---|---|
| DMart | DMart Bandra | Superstore | Bandra West | Mumbai | +91-22-XXXXXXXX | 8am–10pm | 19.0596 | 72.8295 | Grocery, Electronics |
| Starbucks | Starbucks BKC | Flagship | BKC | Mumbai | +91-22-XXXXXXXX | 7am–11pm | 19.0607 | 72.8657 | Dine-in, Takeaway, Delivery |
| Apollo Pharmacy | Apollo Koregaon Park | Standard | Koregaon Park | Pune | +91-20-XXXXXXXX | 8am–12am | 18.5362 | 73.8944 | Pharmacy, Lab Tests |
| Jio Store | Jio Point Andheri | Express | Andheri East | Mumbai | +91-22-XXXXXXXX | 10am–9pm | 19.1136 | 72.8697 | SIM, Recharge, Device |
| Dominos | Dominos Kothrud | Standard | Kothrud | Pune | +91-20-XXXXXXXX | 11am–12am | 18.5089 | 73.8259 | Dine-in, Delivery, Takeaway |
// GeoJSON and KML output available · full dataset includes per-day operating hours, service flags, accessibility attributes, and Google Place ID
Build competitor density maps, catchment analysis layers, and whitespace identification models for site selection and expansion planning decisions.
Before signing a lease, know exactly how many competing outlets are within 1km, 3km, and 5km — by brand, format, and rating. Make evidence-based site decisions.
Map distributor, C&F agent, and stockist networks to optimise distribution routes, identify geographic coverage gaps, and plan new depot locations.
Verify reported store counts, assess physical network maturity, and benchmark competitor footprints for investment decisions in retail and consumer sectors.
Map retail outlets, service centres, and recharge points to plan network coverage expansion, kiosk placement, and last-mile service centre deployment.
Enrich your mapping or navigation application with accurate, frequently-refreshed store location data — hours, parking, drive-through, and service attributes included.
Store locator data delivered in the exact format your platform or GIS tool expects — no manual conversion steps required on your end.
Standard flat file with all fields and lat/lng columns. Drop directly into Excel, Google Sheets, or any BI and analytics tool.
Standards-compliant geospatial format. Load directly into Mapbox, Leaflet, QGIS, or any web mapping platform — no conversion needed.
Google Earth and Google Maps Studio compatible. Visualise your full brand store network in minutes on any Google mapping tool.
Esri Shapefile format for ArcGIS, QGIS, and enterprise GIS platforms. Point geometry layer with full attribute table included.
Query store locations by brand, geography, category, or radius via our REST endpoint. Real-time filtering and sorting supported.
Data auto-pushed to AWS S3, Google Cloud Storage, or BigQuery. GeoJSON layers for Google Maps Platform datasets also supported.
Share which brands, store formats, and regions you need coverage for. We assess the best extraction source — brand website, Google Maps, or a combined approach — and confirm feasibility within hours.
We extract a real sample covering your target brands and geographies. You review GPS coordinate accuracy, field coverage, and hours completeness before committing to the full dataset.
Complete geocoded store dataset delivered in your format of choice — CSV, GeoJSON, KML, or Shapefile — within 48 hours for standard brand extracts. Larger multi-brand projects scoped on request.
Store networks change constantly — new openings, closures, rebrands, and hours updates. We offer scheduled quarterly or monthly refresh runs to keep your location layer accurate and current.
Share your target brands, store formats, and geographies. Geocoded store locator dataset delivered within 48 hours — free sample, no commitment required.
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