| Data origin |
Collected directly from brand & retailer websites |
Aggregated from mixed third-party listings; sourcing methods vary widely |
| Quality assurance |
Rigorous automated + manual QA on every dataset |
Provider-dependent; automated checks only at most; manual review rare |
| Brand-level depth |
4,730 brands tracked individually across 58 industries |
Broad category coverage; brand-specific depth inconsistent across vendors |
| Update frequency |
Monthly refreshes; new brands added weekly |
Typically every 30–90 days; refresh cadence varies by vendor |
| Retail focus |
Purpose-built for retail & brand POI; 58 industries |
Often generalist — includes parks, transit, offices, warehouses alongside retail |
| Historical data |
Tracked since 2019 — openings, closures & network changes |
Availability varies; some offer none, others require separate enterprise agreements |
| Purchase model |
Instant self-serve download — no sales call required |
Often requires vendor contact, quote requests, or enterprise negotiation |
| Pricing transparency |
Prices listed upfront; affordable & predictable |
Pricing typically hidden; variable by row count, columns, and delivery frequency |
| Subscription & licensing |
Subscription, API access & commercial licensing available |
Varies; many offer one-time purchases only or opaque enterprise tiers |
| Standard fields |
15+ fields: store ID, status, direction URL, county & more |
Typically address, lat/lon, and category; richer fields cost extra or aren't available |
| Competitive tracking |
Openings, closures, services & proximity to competitors |
Limited; most provide snapshots without ongoing change tracking |
| Custom enrichment |
On-demand: hours, menus, clinics, peak times, store services |
Rare; most marketplaces deliver fixed schemas with no enrichment option |
| Data format |
Structured, ready-to-use files — no cleaning needed |
Formats vary; data often requires significant cleaning and normalisation |
ScrapeHero Data Store
George Andre –
The data set is comprehensive and includes essential information such as store addresses, geocodes, opening hours, and contact details. This data can be used to make informed business decisions, such as identifying potential new markets for expansion or analyzing the performance of existing stores.
Overall, I highly recommend ScrapeHero’s POI data for Walmart. It is a valuable resource for businesses looking to gain insight into the operations and performance of Walmart stores and make data-driven decisions.