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Discover the seven habits that set high-performing data teams apart—from treating data as a product to ensuring data trust, quality, and decision impact. Learn how leading teams scale reliable data systems.

Legal experts discuss how AI, web scraping, copyright law, and the EU AI Act intersect—covering fair use, data provenance, and compliance risks for businesses.

Discover how web scraping APIs are replacing proxy-based setups, just as electric vehicles are transforming the auto industry. Learn why APIs deliver lower total cost, better scalability, and long-term value for web data teams.

How 180 Zytans from 28 countries came together to plan the future, build relationships and learn from customers.

Zyte's CEO Shane Evans shares a 15-year vision for effortless, AI-driven web data extraction and introduces the 2026 Web Scraping Industry Report with 26 actionable insights.

Explore the balance between innovation and regulation in data scraping. Recent court rulings (like Meta v. Bright Data) favor scraping public data, but compliance with copyright, 'fair use,' and strict GDPR rules for personal data remains essential.

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 on 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.

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.