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Scraping Grocery Pricing Data: Uncovering Dynamic Price Manipulation in Tier 1 and Tier 2 Indian Cities

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Scraping Grocery Pricing Data: Uncovering Dynamic Price Manipulation in Tier 1 and Tier 2 Indian Cities

Overview

The video uncovers how grocery apps price products differently across India. Using large-scale Grocery App Data Scraping services, the video compares price trends on Blinkit, Zepto, BigBasket, and Jiomart across urban and semi-urban markets. Time-series graphs and competitor dashboards visualize daily fluctuations, surge pricing, and hidden markups. This investigation highlights how dynamic algorithms affect affordability and consumer trust. It provides powerful insights for analysts, retailers, and regulators to understand market disparities and promote transparency. Through clear visuals and verified data, the video simplifies complex pricing behaviors across India’s rapidly growing grocery e-commerce ecosystem.

Key Highlights:

Real-Time Data Collection: Scraped live grocery data exposing regional pricing differences.
Tier-Wise Comparison: Compared identical product prices between Tier 1 and Tier 2.
Dynamic Price Graphs: Visualized time-series fluctuations revealing surge pricing trends.
Competitor Insights: Analyzed app strategies behind changing prices and discounts.
Market Transparency: Delivered actionable insights ensuring fair consumer grocery pricing.

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