AI-assisted web scraping is the use of traditional scraping methods alongside machine learning models to detect patterns, extract data and handle dynamic pages with less manual rule-writing. According ...

Information is the new oil, and fast data extraction sets leaders apart. As web data grows rapidly, practical tools are needed to extract this information. Traditional web scraping methods often ...

Scraping affects mobile apps differently than web applications. Mobile apps were designed for usability and performance, not hostile environments. For scrapers and AI agents, mobile APIs are a ...

Web scraping is undergoing a significant transformation, driven by the advent of large language models (LLMs) and agentic systems. These technological advancements are reshaping data extraction, ...

Scrapers that cannot prove their reliability end up costing teams more than they save. The web is not a friendly place for automated traffic, and the burden of proof sits with the data engineer. You ...

What if you could extract the essence of a website—the tone, style, and even its emotional resonance—just as easily as copying text? With the advent of Cursor AI’s new Model Control Plugins (MCPs), ...