AI-powered web scraping is transforming data collection by making it faster, smarter, and highly scalable. Learn how it overcomes traditional scraping challenges and unlocks new opportunities for businesses across industries.

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.

The practice of data quality (DQ) is emerging as a key discipline businesses can use to understand and improve the provenance of the content they collect.

Despite their benefits, web scraping APIs are sometimes misunderstood. So, let’s debunk some of the most common myths.

The emergence of hybrid DaaS/SaaS models is a logical response to the complex realities of modern data needs.

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

Discover how AI and LLMs are enhancing web scraping with smarter crawling, fuzzy data extraction, automated spider generation, and intelligent QA.

Scaling your business’ web data gathering – acquiring, monitoring and storing a growing amount of data from a growing number of sources over time – requires holistic planning.

As the web continues to evolve, Zyte API is evolving right alongside it—adding powerful new features and refinements designed to make data extraction smarter, faster, and more adaptable than ever.

What does the future hold for the tool some describe as “the gift that revolutionised web scraping”?

With the emergence of managed data extraction vendors, businesses no longer need to gather web data themselves.