Pin Code-Level Grocery Monitoring via Blinkit & Zepto APIs
Pin Code-Level Grocery Price Monitoring Using Blinkit & Zepto APIs
This case study highlights how iWeb Data Scraping leveraged Q-commerce API scraping in India to assist a top FMCG conglomerate in tracking grocery prices at the pin code level. By extracting data from Blinkit and Zepto APIs, the client gained real-time insights using advanced grocery price intelligence tools, resulting in smarter promotional strategies, improved price parity across platforms, and a 12% boost in regional profitability. This case study explores how iWeb Data Scraping helped a leading FMCG conglomerate monitor pin code-level grocery prices using Blinkit and Zepto APIs, leading to smarter promotions, better price parity across platforms, and ultimately, 12% improved regional profitability.
The Business Challenge
The client — a top-5 Indian FMCG firm — faced major challenges:
- Price inconsistencies between Blinkit and Zepto in different pin codes
- No centralized visibility of daily grocery price fluctuations
- Losses from misaligned discounts across Delhi-NCR and South India
- Manual price tracking by field reps was inefficient and costly
They wanted a way to automate real-time grocery price tracking at the pin code level with alerts, analytics, and structured datasets.
The iWeb Data Scraping Solution
We proposed a comprehensive grocery price monitoring solution using Blinkit and Zepto APIs, tailored to extract:
- Product Name, SKU
- Price, Discount Price, Coupon Offers
- Stock Status
- Pin Code & Delivery Zone
- Delivery ETA
- Ratings & Reviews
- Price Change History
The solution was powered by:
- Real-time scraping every 4 hours
- Pin code-based coverage, focused on top 10 metros
- Data QC filters to remove anomalies
- Unified API data into normalized format across both platforms
Sample Data Output
| Pin Code | Platform | Product | Price | Discount | ETA | In Stock | Rating | Coupon Code |
|---|---|---|---|---|---|---|---|---|
| 400001 | Blinkit | Maggi 70g | ₹12 | ₹2 OFF | 10 min | Yes | 4.5 | MAGGI5 |
| 560001 | Zepto | Maggi 70g | ₹10 | ₹0 | 7 min | Yes | 4.6 | None |
| 110001 | Blinkit | Fortune Oil 1L | ₹132 | ₹10 OFF | 12 min | Yes | 4.2 | SAVE10 |
| 600001 | Zepto | Aashirvaad Atta 5kg | ₹289 | ₹20 OFF | 9 min | Yes | 4.4 | AATA10 |
Pin Code Granularity: A Game Changer
By monitoring price, discounts, and availability by pin code, the client could:
- Detect pricing anomalies
- Align regional offers
- Flag out-of-stock issues instantly
- Respond faster to consumer complaints
- Optimize inventory and delivery logistics
They built heatmaps and dashboards using our structured feeds to visualize:
- Price differences across cities
- Discount saturation zones
- Delivery ETAs by locality
Outcome & ROI
Within the first 45 days of deployment:
- 8–12% reduction in discount leakage
- 15% faster promotion response time
- 9% uplift in pin code-level profit margin
- Over 1.2 million product records processed
The client now runs automated daily tracking, with alerts on:
- Sudden price hikes/drops
- Product unavailability across pin codes
- Competitor price undercutting on Zepto vs Blinkit
Technical Architecture
- Language: Python with BeautifulSoup & Requests
- Framework: FastAPI for modular scraping
- Infrastructure: AWS Lambda for real-time tasks, S3 for data store
- Output: JSON + CSV + SQL
- Dashboard: Power BI / Google Data Studio
Use Cases for Other Businesses
- Retail Chains: Benchmark Q-commerce prices for online-offline parity
- FMCG Brands: Launch localized offers based on price and stock availability
- Logistics Providers: Predict product demand by region
- E-commerce Startups: Track Blinkit/Zepto coverage for expansion
Compliance & Ethical Scraping
- Used publicly available APIs and mobile endpoints
- Rotated user agents and respected request frequency
- Fully GDPR and Indian IT compliance ready
- Shared legal disclaimers and fair usage notice in client deployment
Expansion Plan
- 500+ additional pin codes
- 5 new categories (Beverages, Frozen Foods, Personal Care)
- Hourly price tracking option for high-volatility SKUs
- Integration into client ERP and SAP systems
Conclusion
In today’s dynamic Q-commerce landscape, pin code-level grocery price tracking is not just a strategic advantage — it's a business imperative. iWeb Data Scraping empowers brands with real-time Blinkit data scraping and Zepto grocery data extraction, enabling Blinkit grocery price monitoring and Zepto product price monitoring at scale. Our robust, API-driven platform delivers hyperlocal pricing insights in India, helping FMCG brands stay ahead through precise, location-based analytics. Leverage our solution for India FMCG price benchmarking and make smarter, faster decisions that drive profitability and consumer loyalty.
Source>> https://www.iwebdatascraping.com/pin-code-grocery-price-monitoring-blinkit-zepto.php
English
Arabic
French
Spanish
Portuguese
Deutsch
Turkish
Dutch
Italiano
Russian
Romaian
Portuguese (Brazil)