Cross Border Competition Daily‑refreshed • API / CSV ready

Grocery Datasets – Prices, Stock, Discounts & Reviews

Get structured, ready-to-use grocery datasets covering all kinds of SKUs – fresh produce, packaged food, dairy, beverages, household essentials, snacks, and more. Perfect for Pricing Analysis, Inventory Tracking, Shelf Availability, Promotion Monitoring & Competitive Benchmarking.

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Why Choose Our Grocery Datasets?

Discovery & Setup

Comprehensive Coverage

Supermarkets, hypermarkets, quick commerce, online grocery platforms.

Discovery & Setup

Global Reach

Walmart, Carrefour, Talabat, Instacart, BigBasket, Amazon Fresh, Lulu & more.

Discovery & Setup

Granular Data

SKUs, categories, pack sizes, units, prices, discounts, availability.

Discovery & Setup

Analysis-Ready

CSV, Excel, JSON formats.

Discovery & Setup

Flexible Delivery

Daily, weekly, or monthly updates.

Discovery & Setup

Customizable

Filter by country, category, or retailer.

Featured Grocery Datasets

Walmart Grocery Pricing Dataset (USA)

Daily SKU-level pricing, stock, and discounts for top categories.

Delivery: CSV, JSON, API

View Dataset

Carrefour Grocery Dataset (UAE, KSA)

Product-level grocery prices, promotions & inventory.

Coverage: 100+ categories

View Dataset

Instacart Grocery Trends Dataset (USA)

Weekly product-level pricing, basket trends, & discounts.

Format: CSV/Parquet

View Dataset

BigBasket Grocery Dataset (India)

SKU-level product coverage, FMCG brands, stock levels.

Categories: Phones, Laptops, TVs, Appliances

View Dataset

Schema & Data Dictionary

Core fields and normalization approach.

Core Fields

product_title

Official grocery product name.

brand

Manufacturer or brand of the product.

category

Main product category (FMCG, dairy, fruits, vegetables, etc.).

price

Current listed price of the product.

discount_pct

Discount percentage applied on the product.

in_stock

Availability status (In Stock / Out of Stock).

rating

Average customer rating.

review_count

Total number of customer reviews.

seller_name

Name of the seller or store offering the product.

pack_size

Weight / volume / unit size of the pack.

delivery_slot

Available delivery window or estimated delivery time.

product_url

Direct link to the product page.

delivery_fee

Shipping charges

delivery_time_estimate

Expected delivery time (e.g., 2 days)

Normalization

  • Standardized cuisine categories.
  • item mapping.
  • delivery zones.

Sample Data Preview

Scrape Date SKU ID Product Title Brand Category Price Discount In Stock Rating Reviews
2025-09-10 11234 Fresh Tomatoes 1kg Carrefour Vegetables $2.99 10% Yes 4.5 245
2025-09-10 22345 Amul Butter 500g Amul Dairy $3.49 5% Yes 4.7 130

Use Cases

Scalable InfrastructurePrice Intelligence & Dynamic Pricing

Track real-time menu pricing & discounts across platforms.

Scalable InfrastructureInventory & Shelf Availability Tracking

Identify cuisine popularity and item availability trends.

Scalable InfrastructurePromotion & Discount Monitoring

Analyze platform-level and restaurant-level discounting.

Scalable InfrastructureAssortment & Catalog Benchmarking

Compare delivery charges by platform & geography.

Scalable InfrastructureReview & Sentiment Analysis

Track reviews, satisfaction scores, and food quality perceptions.

Scalable InfrastructureMAP & Compliance Monitoring

Identify best-performing cuisines & regions.

Case Studies

Grocery Chain – UAE

SKU-level monitoring of 20K+ grocery items, updated daily.

Supermarket – USA

Real-time shelf availability tracking & competitor pricing.

Benefits Recap

Daily SKU-level visibility.

Cross-retailer benchmarking.

Covers grocery SKUs across USA, UAE, India & more.

API & BI-ready formats.

Scalable to millions of records.

Enterprise SLA & compliance.

Frequently Asked Questions

Walmart, Carrefour, Amazon Fresh, Instacart, BigBasket, Lulu, Talabat Mart & more.
Daily, weekly, or custom frequency as required.
Yes, including quick commerce grocery baskets (Talabat, Blinkit, Zepto).
Yes, datasets can be customized per category.
CSV, Excel, JSON, API.
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