🎯 How Food Data Scrape Empowered an FMCG Giant to Scrape 1,000+ Diwali Offers Across Quick Commerce Apps
When the festival of #Diwalirollsaround, offers flood in from all corners—quick-commerce apps, grocery platforms, and local stores. One #FMCGpowerhouse turned this chaos into competitive advantage by scraping over 1,000 offers across apps during the Diwali period. Here’s what they gained—and how others can replicate their success.
🔍 Key Takeaways from the #FMCGGiant’sStrategy
📦 Massive offer coverage — captured a large sample of offers (bundle deals, flash sales, discount promos) across quick commerce platforms.
📉 Trend spotting in real time — identified which categories, items, or promotion types (e.g. combo / “buy 1 get 1”) resonated most with consumers.
💡 Pricing behavior & discount depth — mapped how steep discounts were across different product lines and what discount levels moved demand.
🕒 Promo timing insights — observed when offers peaked (pre-Diwali rush, Diwali eve, post-festival) to time launches or marketing pushes effectively.
📍 Localized differences — saw variation between cities / zones in what offers were prevalent, what #productssoldbest, and which promotions lifted demand more.
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