Extract product listings, live prices, availability, nutritional data, and promotions from BigBasket, Blinkit, Zepto, Swiggy Instamart, JioMart, Dunzo, and 300+ grocery retailers worldwide. Structured, daily-refreshed grocery data for FMCG brands, retail analysts, and price monitoring platforms.
Grocery data scraping is the automated extraction of structured product intelligence from online supermarkets and quick-commerce grocery platforms. Each product listing contains a dense layer of commercially valuable data: product name, brand, category, weight or volume, current price, MRP, discount, stock availability, nutritional information, ingredient lists, country of origin, customer ratings, and promotional tags. Scraping this across thousands of SKUs and multiple retailers simultaneously gives FMCG brands, retail analysts, and grocery tech companies the market visibility they need.
The grocery market moves fast. Prices change daily โ sometimes multiple times a day on quick-commerce platforms competing aggressively on price. New products launch and fail within weeks. Promotional slots rotate constantly. Stock availability fluctuates with demand signals and supply chain conditions. Any business that relies on manual monitoring for grocery competitive intelligence is already behind. A programmatic scraping pipeline captures this continuous flux automatically, delivering a reliable stream of current market data.
India's quick-commerce revolution โ Blinkit, Zepto, Swiggy Instamart delivering in 10 minutes โ has created a new category of grocery data that is distinct from traditional e-grocery. These platforms carry curated assortments, price differently from full-range competitors, and rotate promotions at higher frequency. DataFlirt's scrapers cover this quick-commerce layer alongside traditional online supermarkets, giving you a complete picture of the digital grocery market.
Nutritional data is a growing dimension of grocery intelligence. As consumers become more health-conscious and regulators push for greater transparency, the nutritional content and ingredient composition of grocery products is becoming commercially strategic. Our scrapers extract structured nutritional tables and ingredient lists alongside standard product metadata โ enabling dietary analysis, reformulation research, and regulatory compliance checking at scale.
Comprehensive extraction built for reliability, accuracy, and scale.
Extract full product listings including name, brand, category, weight, images, descriptions, and all variant options across complete grocery catalogs.
Track current price, MRP, discount percentage, multibuy deals, combo offers, and promotional banners with full historical price trajectory.
Monitor in-stock and out-of-stock events, low-stock signals, and fulfilment type by store and delivery zone across all covered platforms.
Extract nutritional tables, ingredient lists, allergen information, country of origin, and dietary certifications (organic, gluten-free, vegan).
Identify and monitor retailer own-brand products, their positioning relative to national brands, and pricing strategy across categories.
Collect customer ratings, review counts, and individual review text for products โ enabling sentiment and quality analysis at scale.
Every field you need, structured and ready to use downstream.
A proven process that turns any source into clean structured data โ reliably.
{ "status": "success", "source": "bigbasket", "scraped_at": "2025-03-20T06:00:00Z", "product": { "sku": "BB-DAL-4821", "name": "Toor Dal - Premium", "brand": "bb Royal", "category": "Dals & Pulses", "weight_g": 1000, "price": 169, "mrp": 185, "currency": "INR", "in_stock": true, "rating": 4.4, "review_count": 2180, "origin": "Karnataka, India" } }
Built on proven open-source tools and cloud infrastructure โ no vendor lock-in.
Location-aware scraping retrieves product availability and pricing as seen from specific delivery pin codes โ critical for hyperlocal grocery accuracy.
Distributed async crawlers handle grocery catalogs of any size, processing hundreds of thousands of SKUs across multiple retailers daily.
Intelligent diff monitoring catches price changes, new promotions, and stock events between crawl cycles with timestamped audit trails.
Structured extraction of nutritional panels into consistent fields โ calories, macros, micronutrients โ regardless of source table formatting.
Specialised crawlers handle the dynamic, location-dependent catalogs of quick-commerce platforms like Blinkit, Zepto, and Swiggy Instamart.
Product identities resolved across retailers using barcode, brand-name, and weight matching to create unified cross-retailer product views.
From solo analysts to enterprise data teams โ here's how organizations use this data.
The difference between the right shelf price and the wrong one is measured in category rank, basket inclusion, and ultimately revenue. DataFlirt delivers the daily, structured grocery data that FMCG brands, category managers, and retail analysts need to price correctly, promote effectively, and stay ahead of a market where conditions change every day.
Start free and scale as your data needs grow.
For small teams and projects getting started with data.
For growing teams with serious data requirements.
For large organizations with custom requirements.
Everything you need to know before getting started.
Join data teams worldwide using DataFlirt to power products, research, and operations with reliable, structured web data.
