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Scrape CVS, Walgreens and E-Pharmacy Drug Pricing Data

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  Introduction The healthcare and pharmaceutical industry increasingly depends on timely, structured, and reliable data to understand pricing, product availability, discounts, and market movements. Actowiz Solutions helped a healthcare-focused client build a comprehensive data collection solution covering pharmacy pricing, e-pharmacy listings, and supporting healthcare information. The project focused on Scrape CVS, Walgreens and E-Pharmacy Drug Pricing Data, enabling the client to compare medicine prices, monitor product changes, and strengthen competitive intelligence. Alongside pharmacy information, the solution incorporated doctor and clinic data to provide a broader view of the healthcare market and consumer-facing services. Through Healthcare & Pharma Data Scraping, information was transformed into structured datasets suitable for analytics, benchmarking, pricing research, and market intelligence. Automated extraction reduced the dependency on manual research while creati...

Thrice-Daily Q-Commerce Data Across 5 India Platforms

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  The Client A consumer-goods company competing in India's fastest-moving retail channel — quick commerce — where a brand's fate on any given day is decided in minutes and pincodes, across Blinkit , Zepto , Swiggy Instamart, BigBasket , and Flipkart (Minutes) . Their existing market data was daily at best, and daily data in quick commerce is like a daily weather report for a channel that has three different climates before lunch. Prices move intraday, availability flickers, dark-store assortments shift with demand, and the promotional picture at 9am bears little resemblance to the one at 6pm. They came to Actowiz Solutions for the cadence the channel actually demands: thrice-daily collection — morning, midday, and evening — across all five platforms. The Challenge Quick commerce is arguably the most demanding retail data environment in India, and intraday cadence multiplies every difficulty: The channel moves intraday, so daily data lies. A single daily snapshot captures one...

E-commerce Price Monitoring for a US Electronics Brand

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  The Client A US-based consumer electronics brand — audio products, smart-home accessories, and charging gear — selling through a classic American channel mix: Amazon (1P and 3P), Walmart.com , Target.com , Best Buy , and a network of 200+ authorized resellers, alongside its own D2C site. Solid products, healthy demand, and a pricing problem eating the brand from underneath: its own channel. The Challenge The brand's channel team described the situation in one sentence during scoping: "We set a MAP policy; the internet ignores it." The specifics: MAP erosion, invisible until too late. The brand ran a Minimum Advertised Price policy — standard practice in US electronics — but enforcement depended on quarterly manual spot checks and dealer complaints. By the time a violation was noticed, three other resellers had matched the lower price "to stay competitive," Amazon's algorithm had followed, and the hero SKU's street price had reset 12% below MAP. Repric...