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 ...

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 ...

Web scraping powers pricing, SEO, security, AI, and research industries. AI scraping threatens site survival by bypassing traffic return. Companies fight back with licensing, paywalls, and crawler ...

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, ...

You can divide the recent history of LLM data scraping into a few phases. There was for years an experimental period, when ethical and legal considerations about where and how to acquire training data ...

Zydrunas has spent over 20 years in the IT industry, working in various fields of software development. As the Chief Technology Officer at Oxylabs, a leading web intelligence acquisition platform, ...

BrowserAct, a global automation company, has launched a major update to its intelligent web scraping and data-agent platform -- introducing a Precision Automation Framework designed to minimize AI ...

A strategic approach is needed to address scraping risks and safeguard intellectual capital from automated data harvesting.