Articles, interviews and analysis on how data is gathered, used and fought over — written by the people closest to it.

Web scraping is more than a technical act, it’s a social practice. Explore ethical scraping principles, responsible data collection, and how to balance efficiency with respect for data and people.

Discover how Zyte API’s new PageContent data type makes content extraction effortless — delivering clean, structured data from any web page automatically.

Weighing your options from full control to full service.

Discover how AI and new scraping tech are lowering costs, removing the “scale tax,” and making web data access affordable for smaller teams.

Acting autonomously on tasks like data gathering, financially-empowered agents could change the economics of the web.

Zyte’s CTO says great tech leaders don’t work on software, they work systems that make software.

Most web scraping projects that collapse don't fail because of technical incompetence. They fail because teams treat data extraction like a coding sprint rather than a product launch.

From broken parsers to context limits, today’s AI agents have real challenges—but with the right tools and orchestration, they could reshape how we extract web data.

AI-powered web scraping is transforming data collection by making it faster, smarter, and highly scalable.

Ensuring web data quality at scale means moving beyond fragile scripts and spot checks to robust validation that keeps business decisions accurate and reliable.

The proxy era is ending as web scraping shifts from managing IP pools to smarter, API-driven solutions.

There’s a popular archetype in web scraping circles: the heroic engineer who fights CAPTCHAs at 3 a.m., hand-tunes a proxy farm before breakfast, then rewrites four spiders after lunch because the target sites pushed new JavaScript.
No matter what data type you're looking for, we've got you
G2.com