DISCOVER
Relevant retailer and product information is collected.
Structured commercial product datasets built from retailer and product information — delivered in CSV, JSON and XLSX.
{
"product_name": "Aether 2P Tent",
"brand": "Example Outdoor",
"category": "tents",
"variant": "forest / 2 person",
"retailer": "Example Retailer",
"price_gbp": 149.00,
"availability": "in_stock",
"source_url": "https://example.com/product",
"observed_at": "2026-08-30T09:15:00Z"
}Explore how GrabStack structures product, retailer and commercial information into consistent, usable records.
| Product | Brand | Category | Variant | Price | Retailer | Availability | Source |
|---|
Records are organised around useful commercial fields. Exact fields vary by dataset and category.
A focused four-stage process turns fragmented product information into usable datasets.
Relevant retailer and product information is collected.
Products, variants, offers and specifications are normalised.
Identity, quality and source provenance are checked.
The requested dataset is prepared for delivery.
Consistent fields, naming and data types across each dataset.
Source information stays connected so records remain traceable.
Records are checked for completeness, consistency and commercial usefulness.
Tell us the kind of products you need, how many you want and where you want us to look. We’ll handle the structure.