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Buy Grocery Datasets from Tesco, Carrefour, Amazon Fresh & more
Pre-built grocery catalogs with pricing, promotions, nutrition facts, ingredients, and store-level availability. Built for FMCG brands, grocery retailers, food-tech startups, and recipe platforms. Multi-country coverage. Daily refresh.
Built for FMCG, food-tech & grocery teams.
FMCG Brand TeamsAt HUL, Nestle, P&G, Dabur
Track listing health, retail pricing, promotional compliance across major grocery retailers globally.
Grocery RetailersPrivate label R&D teams
Benchmark pricing, ingredients, packaging against branded products. Inform private-label launches.
Food-Tech & Meal-KitAt HelloFresh, Blue Apron, etc.
Build ingredient sourcing databases. Track grocery prices for meal-kit pricing optimization.
Recipe & Nutrition AppsAt consumer apps
Power recipe apps with grocery pricing. Build nutrition tracking with real product data.
Sample Grocery Dataset Snapshots
Get a free sample of any grocery dataset
Pick any grocery dataset above. We'll deliver a real 1,000-row sample with full schema, nutrition data, and pricing within 24 hours.
Schema example for Grocery datasets
skuSTRINGRetailer SKU identifierproduct_nameSTRINGProduct display namebrandSTRINGBrand namecategorySTRINGGrocery category (Dairy, Bakery, etc.)price_currentDECIMAL(10,2)Current shelf priceprice_per_unitDECIMAL(10,4)Price per gram/ml/unitpack_sizeSTRINGe.g. 500g, 1L, pack of 12weight_gramsINTEGERNet weight in gramsnutrition_factsJSONPer 100g: cal, protein, carbs, fat, sugar, sodiumingredientsTEXTFull ingredient listallergensJSON[]Allergen tags (gluten, dairy, nuts...)certificationsJSON[]Organic, Fair Trade, Halal, Kosher etc.promotional_priceDECIMAL(10,2)Promo/sale price if activestore_availabilityJSONPer-store availability dataWhat teams build with grocery datasets.
Real-time competitive pricing
A FMCG brand monitors competitor pricing across Tesco, Sainsbury's, Carrefour to react to markdowns.
Private label R&D
A national retailer used grocery datasets to benchmark ingredient lists & pricing for new private label launches.
Building nutrition databases
A recipe app used grocery datasets to build a comprehensive nutrition + pricing database for 500K+ products.
Meal-kit pricing optimization
A meal-kit startup used grocery pricing to optimize ingredient sourcing & final meal-kit pricing.
FMCG distribution intelligence
A distribution firm tracked grocery retailer pricing to identify margin opportunities across territories.
Promotional intensity tracking
A category manager tracked promotional intensity across 5 grocery retailers to time her brand's promo calendar.
Questions about Grocery datasets
A grocery dataset is a structured collection of supermarket/grocery product data — product names, brands, prices, weights, pack sizes, nutritional facts, ingredients, allergens, certifications. Updated daily, QA-reviewed, delivered in CSV/Parquet/JSON.
Yes — nutrition facts per 100g (calories, protein, carbs, fat, sugar, sodium) included where retailer provides it. Full ingredient lists and allergen tags also included.
UK: Tesco, Sainsbury's, ASDA, Morrisons, Waitrose. US: Amazon Fresh, Whole Foods, Kroger. EU: Carrefour, Mercadona, REWE. APAC: BigBasket, DMart, Coles. MENA: Carrefour UAE, Lulu. More on request.
For retailers with store-level pricing (US chains, Carrefour France), we capture per-store prices. UK grocers have uniform national pricing — we capture that.
Yes — both regular price and active promotional price are captured. Plus loyalty card pricing (Clubcard, Nectar, PC Optimum) where applicable.
Yes — private label products are explicitly tagged in our schema. Useful for retailers benchmarking their own private label vs branded competition.