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Track Prices & Assortment on Flipkart, Amazon.in & Meesho India

  Introduction Flipkart, Amazon.in, and Meesho are where Indian e-commerce pricing is decided — and India adds a wrinkle no Western market has at the same intensity: the effective price is buried under a stack of bank offers, coupons, memberships, and festival mechanics that differ on every platform. Tracking prices here means computing what the customer actually pays, not reading the sticker. Here's how to build tracking a pricing team can decide on. Step 1: Solve the Effective-Price Problem First In India, the displayed price is rarely the paid price. Bank offers (10% off with specific cards), coupons, no-cost EMI, exchange offers, Plus/Prime membership pricing, and festival deals stack into an effective price that varies by platform and payment method. A price record that captures only the sticker is describing a price almost nobody pays. Worked example — the ₹2,000 illusion. A D2C appliance brand saw its product at ₹14,999 on Flipkart vs a rival's ₹15,499 and believed it w...
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Building a USA Real Estate Dataset: Zillow, Redfin & Realtor

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  Introduction US real estate publishes itself across Zillow, Redfin, Realtor.com, and dozens of portals — and turning that sprawl into one clean, current, queryable dataset is the foundation of every proptech product, investment model, and market-analytics tool. But "just scrape the listings" produces a dataset that misleads: three portals speak three dialects of "property," freshness expectations are unforgiving, and the compliance line matters. Here's how to build a US real-estate dataset a product can actually run on. Step 1: Unify Three Listing Structures Into One Schema Zillow, Redfin, and Realtor.com each structure listings differently — different fields, different conventions, different completeness. A coherent dataset needs source-specific extraction feeding one normalised schema: address, price, status, beds/baths, size, lot, property type, listing metadata, media, and days-on-market — common fields unified, source-specific details preserved. Worked ex...
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Extract E-Pharmacy Pricing & Healthcare Listing Data

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  Introduction India's rapidly expanding digital healthcare ecosystem has made online pharmacy data increasingly valuable for pharmaceutical companies, healthcare analysts, retailers, and market intelligence teams. Monitoring medicine prices, product availability, discounts, pack sizes, brands, and listings across multiple e-pharmacy platforms can help businesses understand competitive movements and identify market opportunities. Actowiz Solutions developed a structured data solution focused on Extract E-Pharmacy Pricing & Healthcare Listing Data, enabling the client to collect and organize healthcare marketplace information from relevant online sources. The project focused particularly on anti-diabetes medicines, where price variations, stock availability, product alternatives, and promotional activity can change frequently. Through automated E-pharmacy price data extraction , the client gained a scalable way to collect, normalize, and analyze marketplace information. The resu...
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B2B Flight Booking Platform Using Trip.com Price & Availability Data

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  Introduction The modern travel industry relies heavily on accurate airfare, route, and availability information to deliver competitive booking experiences. A growing travel-tech company approached Actowiz Solutions to develop a data-driven solution that could support its B2B booking operations and help travel partners access timely flight information. The project focused on building a B2B Flight Booking Platform Using Trip.com Price & Availability Data, enabling travel agencies and corporate buyers to search, compare, and evaluate flight options more efficiently. Through Trip.com Data Scraping , relevant flight information such as airline names, routes, departure and arrival times, fares, cabin classes, availability, and other booking attributes was collected and structured. The resulting data pipeline helped transform constantly changing travel information into an organized resource for business applications. With automated extraction, normalization, and delivery, the client...
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