Objectives
- Real-Time Product Monitoring: Track product listings, pricing, and discounts in real-time across Blinkit and Zepto.
-
Festive Bundling Strategy Analysis: Analyze festive bundling strategies
for categories like:
- Mithai (Indian sweets)
- Chocolates
- Dry Fruits
- Combo Gift Packs
- Trend Detection: Detect price fluctuations and stock availability trends.
- Performance Comparison: Compare delivery timelines, city-wise performance, and regional product affinity.
- Strategic Insights: Provide strategic recommendations for D2C brands and category managers.
Platforms and Timeframe Covered
- Platforms Scraped: Blinkit & Zepto
- Cities Tracked: Delhi, Mumbai, Bengaluru, Hyderabad, Pune, Ahmedabad, Chennai
- Categories Focused: Mithai, Chocolates, Dry Fruits, Combo Gifts, Gift Packs
Data Collection Methodology
- Scraping Frequency: Hourly (between 6 AM and 11 PM IST)
-
Data Points Captured:
- Product Name
- Category & Brand
- MRP vs Sale Price
- Discount %
- Stock Status
- City & Zip Code
- Delivery ETA
- Bundle Components (for combo packs)
Sample Data Extracts
Table 1: Mithai Listings Snapshot – Delhi
Table 2: Gift Combos – Mumbai
Price Trends Visualization
We tracked the hourly pricing of Haldiram Kaju Katli on Blinkit in Delhi, uncovering price dips during key shopping hours:
Price Change Graph:
- Aug 9 – ₹540
- Aug 10 Morning – ₹495
- Aug 10 Evening – ₹475
- Aug 11 – ₹510
Insight: A flash discount strategy was deployed on August 10 evening, possibly driven by traffic surge between 6–9 PM.
Discount Distribution Analysis
Based on 580 product listings across both platforms in 7 cities, we saw the following discount pattern:
Table 1: Mithai Listings Snapshot – Delhi
Conclusion: Blinkit used higher-tier discounts more frequently to drive impulse purchases.
Delivery Performance: Speed vs Coverage
Based on 580 product listings across both platforms in 7 cities, we saw the following discount pattern:
- Blinkit offered quicker ETAs but in a smaller service area.
- Zepto had broader regional availability, especially in Tier-1 Southern cities.
Popular Brands by Frequency
Mithai
Chocolate Combos
- Blinkit: Ferrero Rocher + Dairy Milk Silk
- Zepto: Ferrero + Almond Barfi + Dry Fruit Basket
Customer Sentiment Analysis (Review Snippets)
Scraped review data showed patterns in customer expectations:
- Blinkit (Delhi): “Delivery was lightning-fast. Packaging was neat and festive.”
- Zepto (Mumbai): “Loved the rakhi combos but price could have been better.”
- Zepto (Bangalore): “Wished there were more options in traditional sweets.”
Advanced Promotions Techniques Detected
- Flash Discount Drops: Zepto had 2-hour slot discounts (mostly 9 PM–11 PM).
- Combo Rotation: Blinkit rotated combo listings daily to retain freshness.
- Personalization Banners: Zepto used location-specific banners (“Bangalore’s Most Loved Combos”).
Real-World Use Case: Premium Dry Fruit & Gifting Brand
Client Profile
- Brand Name: [Confidential – Leading Indian D2C Premium Gifting Brand]
- Industry: FMCG – Dry Fruits & Gift Hampers
- Primary Market: Delhi NCR, Mumbai, Bengaluru
- Sales Channels: Own Website + Amazon + Blinkit + Zepto (as partner vendor)
- Objective for Raksha Bandhan 2025: Outperform competing gift hamper listings on Blinkit and Zepto through pricing intelligence, strategic bundling, and dynamic flash discounts.
Problem Statement
Despite strong brand visibility, the client saw:
- Declining conversion rates in the week before Raksha Bandhan 2024.
- Inability to match dynamic pricing changes of Blinkit and Zepto sellers.
- Lack of SKU-specific promotion monitoring by city.
- Frequent stockouts during peak hours without competitor signals.
- Higher return rates on unbundled dry fruit packs compared to combo offerings.
Engagement with Food Data Scrape
Goal:
Use real-time competitive intelligence to drive profitable festive sales in Aug 2025 by:
- Benchmarking gift hamper prices against Blinkit & Zepto every 2 hours.
- Detecting competitor flash discounts in top cities.
- Understanding category-level discount band trends.
- Optimizing bundle composition and festive naming for higher CTR.
Food Data Scrape Implementation Details
Key Findings Enabled by Scraping
-
Evening Flash Discounts:
- Zepto introduced ₹70–₹100 off between 9–11 PM on 60% of chocolate gift boxes in Mumbai.
- Blinkit dropped combo prices 3 times a day in Delhi between Aug 10–12.
-
High-Selling Combos Identified:
- “Dry Fruit + Rakhi + Chocolate” combos saw 22% more visibility and better conversion than single-category packs.
-
Stock Rotation Windows Detected:
- Competitor SKUs were restocked at ~10 AM and ~6 PM daily, helping the client time price updates before relisting.
-
Geo-Specific Discounts Mapped:
- Dry fruit SKUs were heavily discounted in Hyderabad and Chennai but not in Delhi NCR.
- Client reallocated inventory and revised bundles city-wise.
Strategic Actions Taken by Client
- Repriced 14 top-performing combos: In sync with Zepto’s discount drops using automated alerts.
- Deployed ₹100 cashback campaign: Executed via WhatsApp + in-app banner, timed to 9–11 PM daily.
- Created “Raksha Shakti Gift Hamper”: Customized packaging, improved bundling (almonds + Ferrero + rakhi), priced at ₹799 to undercut Blinkit’s ₹849 packs.
- Introduced hyperlocal targeting: Used pin code-based delivery insights from the scraping API.
Outcomes & Results
Strategic Recommendations
For Brand & Category Teams:
- Dynamic Pricing Benchmarking: Use hourly scraped data to trigger promotions algorithmically.
- Combo Customization: Align packs by region (e.g., Soan Papdi packs in North, Dry Fruit in South).
- Delivery-Based Discounts: Offer tiered pricing based on ZIP code ETA.
- Sentiment Scraping: Track reviews to reshape packaging and messaging in real-time.
- Stock Intelligence: Monitor SKU relisting times of competitors to align replenishments.
- Zepto Grocery Delivery Scraping API: Helps automate the tracking of pricing, stockouts, and relisting patterns across ZIP codes.
- Blinkit Grocery Delivery Scraping API: Enables real-time extraction of user reviews and promotional changes across categories and cities.
Opportunities for Upcoming Festivals (Diwali & Christmas)
Recommendations for future festive campaigns:
- Deploy AI-powered scraping dashboards for daily decision-making
- Use price heatmaps for geo-based bundling
- Launch "Festival Window Scorecards" to summarize discount % and traffic peaks
- Enable automated inventory alerts using competitor stock data
Client’s Testimonial
“Without real-time Blinkit and Zepto data, we were always reacting late. Food Data Scrape gave us an edge—not just in pricing, but in how we think about bundling and timing. Rakhi 2025 was our best ever.”
— Head of Digital Strategy
Final Outcomes:
The dual-festival rush of August 2025 highlighted two contrasting yet effective strategies: Blinkit focused on deep discounting and ultra-fast delivery, while Zepto focused on curated experiences and expanded reach. With real-time scraping intelligence from Food Data Scrape, brands gained the power to react hourly—not weekly—to market shifts.
In a landscape where 10-minute delivery meets 5-minute decisions, scraping isn’t optional—it’s essential.
