Explore Datahut's ecommerce data resources covering product catalogs, pricing intelligence, competitor monitoring, customer reviews, inventory tracking, and market trends. Learn how web scraping and data analytics help businesses collect, analyze, and transform ecommerce data into actionable insights for pricing, merchandising, market research, and business growth.
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
Discover what 266 Olay products and 651,000 Amazon reviews reveal about pricing, customer preferences, product strategy, and skincare market trends.
web-scraping-tutorial
Learn how to scrape product data from Lazada using Python, Playwright, and BeautifulSoup. Extract prices, ratings, reviews, discounts, and seller data efficiently.
data-analytics
The beauty and personal care category on Amazon is among the most competitive digital shelves in e-commerce. And few brands manage it with the deliberateness of L'Oréal Paris. With 300 active products, an average sale price of $15.41, and an overall rating of 4.44 out of 5 across more than 2.8 milli
data-analytics
We scraped Zepto's entire fruits and vegetables catalogue across Delhi, Mumbai, Bangalore, Chennai, Kolkata, and Kochi - 1,035 listings covering 417 unique products. The top findings: • 52% of all listings were out of stock at the time of collection. Guava (83%), dragon fruit (77%), and kiwi (71%) w
web-scraping-tutorial
Think of having a super-fast assistant who can explore websites and pick out only the things you need. That’s what web scraping does - it saves you from the boring job of copying and pasting information one by one. It’s a handy skill, especially when you want to collect a lot of data quickly and wit
web-scraping-tutorial
Have you ever tried copying product details from a website by hand—one item at a time? If so, you probably know how slow and frustrating it can be. Now, imagine if a robot could do that for you - fast, accurately, and without complaining. That’s exactly what web scraping does. It’s like having a per
web-scraping-tutorial
Have you ever wondered if there's a way to automatically collect information from online shopping websites - without manually copying and pasting everything? That’s exactly what web scraping helps us do. It’s like teaching a computer to visit web pages and pick out the information you need, just lik
amazon
Why CeraVe and Cetaphil Dominate Amazon SkincareThe skincare aisle on Amazon is not a level playing field. Two brands - CeraVe and Cetaphil - have carved out a permanent duopoly in the dermatologist-recommended segment, and their dominance is built on data-driven marketplace strategies that go far d
amazon
CeraVe's presence on Amazon's skincare category is one of the most strategically disciplined on the platform. With 83 actively priced products, over 1.6 million verified customer reviews, and an average rating of 4.45 out of 5, the brand has built a catalog that prioritizes depth over breadth and th
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
Cetaphil on Amazon has built one of the most review-dense skincare catalogs on the platform - 143 active products, over 707,466 verified customer reviews, and an average rating of 4.15 out of 5. But not all of those products are winning equally. We analysed every Cetaphil best seller and SKU across