A leading consumer goods brand needed precise insights into grocery pricing and availability across various neighborhoods. We implemented a real-time hyperlocal data scraping solution that tracked store-level prices, stock status, and promotions across different quick commerce platforms. This enabled the client to monitor product variations and offers in real time across hyper-targeted zones. Our tailored zip code-level store data scraping further allowed them to analyze trends in specific localities, helping to identify demand surges, price differences, and regional promotion patterns. With this data, the client adjusted their local pricing strategies, improved distribution planning, and optimized regional marketing efforts. The solution provided consistent, structured data feeds and API integration for internal dashboards, empowering teams to act faster and more accurately. As a result, they gained a competitive edge by delivering the right price and product mix to the right locality at the right time.
A Well-known Market Player in the Grocery Industry
iWeb Data Scraping Offerings: Utilize our data crawling services to Extract grocery data.
The client faced significant obstacles in executing localized pricing strategies due to the absence of dynamic pricing scraping capabilities. Prices and promotions changed rapidly across different quick commerce platforms, making manual tracking unreliable and time-consuming. They also struggled with collecting real-time sales data, which made it difficult to understand which products performed best in specific areas, leading to delays in campaign optimization. Additionally, the client lacked access to consistent same-store sales data scraping, which limited their ability to compare store-wise performance and adjust pricing or stock accordingly. The inconsistency and delay in data collection hampered their ability to make timely decisions, causing missed opportunities during peak demand hours. Their internal tools were not equipped to handle hyperlocal variations in prices, availability, or promotional strategies, leading to inefficiencies in both marketing and supply chain operations across zip codes and city zones.
To address the client's challenges, we delivered a comprehensive solution centered on hyperlocal store sales intelligence, enabling real-time visibility into pricing, promotions, and product availability at the neighborhood level. We implemented hyperlocal inventory & assortment scraping across major quick commerce platforms to track SKU presence, regional assortment changes, and stock status. For expansion planning, we integrated Zip Code Level Demand Forecasting for New Market Entry, helping the client identify high-potential areas and tailor their launch strategy accordingly. In parallel, we supported brand refinement by extracting and analyzing customer feedback data , focusing on product reviews, delivery experience, and satisfaction trends. This end-to-end system provided enriched datasets, API integration, and visual dashboards to support internal pricing, supply chain, and marketing teams. As a result, the client improved their market agility, optimized store-level operations, and boosted ROI with smarter, location-aware decision-making.
The final results exceeded the client's expectations, delivering measurable business impact. Our solution for Web Scraping for Sales Lead Generation helped identify high-demand zones and new retail partnership opportunities. We also implemented tools to Scrape Store Location Data , enabling precise regional targeting and localized promotions. Through our Assortment Planning Services , the client optimized product mixes per zip code based on demand and availability. Our Competitive Benchmarking Services further empowered their team to track rival offerings and pricing strategies effectively. Overall, the solution enhanced their agility, improved ROI, and established a data-driven foundation for scalable retail growth.
"Partnering with this team has been instrumental in elevating our data-driven decision-making. Their hyperlocal scraping capabilities gave us unmatched visibility into store-level pricing, inventory, and customer behavior across multiple regions. The quality and consistency of the data enabled our teams to optimize regional campaigns, fine-tune assortments, and respond to demand shifts in real time. Their support was proactive, flexible, and aligned perfectly with our business goals. We now rely on their scraping infrastructure as a core part of our retail intelligence workflow."
— Director of Market Strategy
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