Data Engineer at Datahut, focused on how retail and e-commerce teams source web data. Writes about data collection strategies for retail analytics, pricing intelligence, and product data what to collect, how to structure it, and how to use it.
Ecommerce Data
Discover how TF-IDF and cosine similarity can automate product matching across e-commerce platforms. Learn to identify identical or similar products despite variations in titles and descriptions, enabling accurate competitor analysis, pricing intelligence, and better catalog management.
data-analytics
Ever wondered what grocery data scraping can reveal about real-time pricing and product availability?In this case study, we scrape the Carrefour UAE vegetables category over five days to analyze: • Price fluctuations • Discount patterns • Product availability trendsThis guide walks through a complet
amazon
Amazon India’s tablets section becomes especially interesting during the Great Indian Festival, when prices fluctuate rapidly, rankings change by the hour, and new offers appear across thousands of product listings. This dataset matters because it captures how real tablet products are presented, pri
Real Estate
Is buying a condo in California really more expensive than owning one in New York, or does the story change once the numbers are laid out side by side?To explore this question, real condo listings were carefully scraped from Homes.com, with California and New York collected separately to keep the co
Ecommerce Data
When you think of Macy’s, it is not just a department store—it is an American retail legacy established in 1858. What began as a humble store located in Manhattan has become one of the largest and arguably best-known retail department stores in America. Macy's currently operates in hundreds of locat
amazon
Explore Amazon menstrual cup category analysis to uncover shopper preferences, top products, pricing trends, brand competition, and buyer behaviour insights!
Ecommerce Data
Learn how to scrape Ethos product data efficiently using Python and async tools to collect prices, descriptions, images, and structured insights at scale.
amazon
When thinking about menstrual cups, they are more than just a reusable alternative to pads or tampons—they represent convenience, sustainability, and personal health. On Amazon, one of the largest online marketplaces in the world, a wide range of menstrual cups is available, catering to different si
data-analytics
Buying a home—be it a house, condo, or co-op—in California or New York is not just a choice of location, but a high-stakes financial decision. At Datahut, we scraped over 1,400 real estate listings from Homes to analyze how these two iconic states compare specifically in the condo and apartment mark
Web Scraping Tutorial
Track GDPR fines and enforcement cases with a GDPR Enforcement Tracker. Web scraping helps you monitor penalties and stay informed on compliance updates.
amazon
Have you ever wondered how major e-commerce platforms manage thousands of product listings across categories like electronics, fashion, or even pet food? One of the biggest names in this space, Amazon, holds an enormous inventory that spans nearly every product imaginable—earning it the title “The E
Ecommerce Data
Have you ever thought about how companies manage to track thousands of products, prices, and even trends in multiple online stores all at once? That's where web scraping comes in: the automated way of collecting data from websites, comparable to a personal assistant that works around the clock. Web