I'm a co-founder of Datahut. For 15+ years I've helped enterprise retail and e-commerce teams get decision-ready web data, pricing intelligence, digital shelf analytics, and product data , without turning their engineers into scraper babysitters.
web-scraping-tutorial
Ever wondered how a website seems to know you're a bot, even when you've changed your IP and rotate your user-agent?The answer is usually browser fingerprinting a set of techniques websites use to quietly collect dozens of details about your browser and device (your browser type, operating system,
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
ecommerce-operations
Do you know what actually differentiates great product copy from the good?Great product copy is rarely the result of creative inspiration. It's the outcome of a data-driven process.Good copy is often just creative writing. Bad copy is what happens when someone simply asks ChatGPT to generate it.Prod
ecommerce-data
According to Research and Markets, the cannabis-infused products market is projected to grow from $33.62 billion in 2025 to $41.44 billion in 2026, a compound annual growth rate of 23.2%. That trajectory is already visible on the platform: 112 active brands are competing across 18,707 product listin
thought-leadership
Most software services firms are hunting for the next big transformation program. However, they are overlooking an opportunity already sitting within the accounts you have.The Middle Ground Nobody ProposalsAccount expansion has a familiar playbook: land a project, deliver value, propose the next pha
competitor-pricing
Most companies ask us for competitor pricing data. Usually, they begin with a shortlist and say, “Track these five competitors.” We usually push back. Why those five? Why not the entire category? That question gets the same response every time: Why would we do that?Because tracking competitors only
data-quality
Retailers are investing heavily in AI initiatives; some are hiring dedicated Chief AI officers or VP AI roles to lead them. Some are bringing in external consultants to help with it, but most of those initiatives won’t hit their original goal because they are having a data maturity problem.What we’r
ecommerce-operations
The Impact of Tariffs on the Fashion IndustryAs fashion retailers look toward 2026, they are adjusting to a fundamentally new reality. The US tariffs have forced brands and their suppliers to adapt quickly. Major brands like Nike, Hermès, and Ralph Lauren have already indicated or implemented price
vendor-evaluation
People often see AI web scraping as fast and simple. But when it comes to large-scale enterprise use cases, relying just on large language models (LLMs) introduces new risks that you may not notice.When large language models (LLMs) became common, many believed that web scraping problem had finally b
vendor-evaluation
Web data is now essential for analytics, AI, pricing, and business decisions. Still, data professionals spend almost 80% of their time on tasks like finding, cleaning, validating, and combining data from different systems instead of actual analysis.In a 40-hour workweek, that means each person spend
vendor-evaluation
Why I’m Writing ThisAs a founder, I engage in conversations with product teams, data leaders, and day-to-day business managers. Almost every time I have one of these conversations, I hear the same question asked:“Should we build our own scraping stack, or should we buy?”This build vs buy web scrapin
vendor-evaluation
Picture this:Your team builds a beautiful internal scraping platform using Open Source libraries.It scrapes 20 e-commerce sites, powers dashboards, feeds pricing models… and becomes part of your company’s heartbeat.You scale from 10K → 100K → 1M pages per day.Suddenly: • your prices stop updating •