Extract product data, zone-level pricing, inventory signals, and delivery ETAs from Blinkit, Zepto, Swiggy Instamart, BigBasket, Instacart, and Gopuff. Dark store-level intelligence for FMCG brands competing in the 10-minute delivery economy.
| Product | Brand | Blinkit | Zepto | BigBasket | Instacart | Zone | Stock | ETA |
|---|---|---|---|---|---|---|---|---|
| Amul Taaza 500ml | Amul | ₹27 | ₹28 | ₹30 | $3.49 | Koramangala, BLR | In Stock | 10 min |
| Maggi 2-Min 70g | Nestlé | ₹14 | ₹14 | ₹15 | $1.29 | Indiranagar, BLR | In Stock | 12 min |
| Coca-Cola 1.25L | Coca-Cola | ₹67 | ₹65 | ₹72 | $2.19 | Bandra, MUM | In Stock | 8 min |
| Lay's Classic 52g | PepsiCo | ₹20 | ₹20 | ₹20 | $1.99 | HSR Layout, BLR | OOS | — |
| Surf Excel 1kg | HUL | ₹235 | ₹230 | ₹245 | — | Andheri, MUM | In Stock | 15 min |
Tell us which q-commerce platforms, categories, or competitors you want tracked.
We deliver 500 rows of q-commerce data — free, within 2 hours.
Custom scraper, anti-bot bypass, QA checks — production ready in 24-48 hours.
Daily/hourly data via CSV, JSON, API, S3, Snowflake, or BigQuery.
Track how your products are priced, stocked, and promoted across Blinkit, Zepto, BigBasket vs competitors. Monitor private label threats and assortment changes in real time.
Monitor category share of shelf, new product launches, private label penetration, and promotional depth across every dark store zone in your territory.
Identify stockout patterns, restock cycles, and demand signals across dark store zones to optimize distribution planning and reduce out-of-stock incidents.
Detect zone-level pricing differences between platforms, competitor promotional strategies, coupon stacking patterns, and seasonal pricing shifts.
Track quick commerce market growth metrics, platform coverage expansion, category-level market share shifts, and dark store density trends over time.
Build demand forecasting, pricing optimization, and inventory prediction models using hourly q-commerce data from multiple platforms and zones.
Monitor how your products perform on quick commerce platforms vs traditional e-commerce. Optimize your q-commerce strategy with data-driven insights.
Evaluate quick commerce platform growth trajectories, category expansion patterns, and operational metrics for investment due diligence.
Detect unauthorized sellers, counterfeit products, and pricing policy violations across quick commerce platforms.
Track competitor promotions, sponsored placements, and banner ad positions across q-commerce app surfaces.
Use coverage and demand data to identify underserved zones and optimal dark store locations for new market launches.
Track pricing compliance, MRP adherence, and product labeling accuracy across quick commerce platforms for regulatory reporting.
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