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
#GroceryPriceMonitoringUsingBlinkitZeptoAPIs #ExtractingDatafromBlinkitandZeptoAPIs #RealTimeGroceryPriceTracking #BlinkitDataScraping #ZeptoGroceryDataExtraction
Subscribe to my newsletter
Read articles from Devil Brown directly inside your inbox. Subscribe to the newsletter, and don't miss out.
Written by
