Articles from the Zyte blog in Web data application.

What a failed experiment taught me about curated data, prompting, and when scraping actually matters.

Manual web scraping isn’t the competitive advantage it used to be. Learn why shifting to a scraping API helps engineers reclaim time, reduce maintenance, and focus on delivering reliable data.

Retail pricing has long combined data, experience, and instinct – but today’s market volatility demands a faster, smarter approach.

Big Data Delivery isn’t just about moving information around—it’s about making it work for you, helping businesses spot trends, predict what’s next, and stay ahead in a cutthroat market.

Web crawlers are becoming increasingly popular in the era of big data, especially now with the advent of Large Language Models (LLMs) such as ChatGPT and LLaMA. The sheer amount of data that is publicly available from the web has a wide variety of applications including market research, sentiment analysis, and predictive modeling.

Staring at the Statement of Work opened on your laptop screen, your thoughts must be wandering in all directions - where do you start?


Product Data is the most sought-after web data type for e-commerce companies, with 7 common use cases from price intelligence to seller experiences.

We put Zyte’s own Automatic Extraction API head-to-head with a commercial rival - and an open-source alternative - to find out who’s product extraction top dog.

As the internet continues to grow, the amount of data it generates grows with it, opening new opportunities to improve processes and make more informed decisions.


As the COVID-19 pandemic took hold, we at Zyte (formally Scrapinghub) began to wonder how it would impact the data we crawl, and whether that data could tell us something useful about the pandemic and its impact.
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