| Data origin |
Scraped directly from brand & retailer websites |
Aggregated from mixed third-party providers; 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
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