GROCERY DATASETS

Grocery SKU data,
priced and packed.

// THE SHORT ANSWER

Grocery datasets are ready-to-license grocery product data — SKUs, pack sizes, prices, computed unit prices, brands and availability — across platforms like BigBasket, Blinkit and DMart. iWeb Data Scraping delivers them clean and structured with pack-size normalization built in, so you can analyze grocery pricing without commissioning custom collection or wrestling with pack-size comparability yourself.

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Key facts

  • Data point: SKU & product
  • Data point: Brand
  • Data point: Pack size
  • Data point: Price & MRP

Grocery data is uniquely fiddly — every product multiplies by pack size, and comparing prices means computing unit prices first. Our grocery datasets arrive with that work done: SKUs, packs, prices and normalized unit prices, ready to analyze.

License a category snapshot or subscribe for refreshed data. For continuous, custom grocery tracking across your specific competitors and cities, see grocery data scraping.

THE POINT

One vertical, every platform that matters in it — matched into a single feed your team actually uses.

DATA POINTS WE EXTRACT

What's in the dataset.

SKU & product
Brand
Pack size
Price & MRP
Unit price (computed)
Availability
Category
Platform / store
Private-label flag
Images URL
Discounts
Timestamp
SEE THE DATA FIRST

What you'll actually receive.

Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.

Grocery dataset — SKU, pack, price, unit price, availability.
sku product brand pack_size price unit_price platform
G501 Toor Dal Tata Sampann 1kg 145 145/kg BigBasket
G502 Sunflower Oil Fortune 1L 155 155/L Blinkit
G503 Basmati Rice India Gate 5kg 599 119/kg DMart
G504 Milk Full Cream Amul 1L 66 66/L Zepto
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
WHO USES THIS

Built for the person
who owns the number.

FMCG ANALYST

Study category pricing

Pack-normalized grocery pricing across platforms, ready to analyze.

RESEARCHER

Size a grocery market

Structured SKU and price data across a category or region.

PRODUCT TEAM

Power grocery features

Clean grocery catalog data behind pricing or comparison tools.

RELATED:Grocery Data Scraping →Quick Commerce Datasets →Price Intelligence →
FAQ

Before the first call.

SKUs and products, brands, pack sizes, prices and MRP, computed unit prices, availability, category, platform/store, private-label flags, image URLs, discounts and timestamps — with pack-size normalization so products are directly comparable.

We compute unit prices (per kg, litre or 100g) alongside listed prices, so a 500g and a 1kg pack are directly comparable. This normalization — essential in grocery — is built into the dataset rather than left for you to do.

BigBasket, Blinkit, Zepto, Instamart, DMart, JioMart and others in India, plus international grocery platforms on request. Scope is set to your market and competitive set.

Both — a point-in-time snapshot or refreshed deliveries on your schedule. For continuous, fully custom tracking, our grocery data scraping service covers your specific competitors and cities.

Get a free sample dataset in 48 hours.