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

Pavlo Zinkovskyi is the co-founder and CTO of Infatica.io, which offers a wide range of proxy support for residential and mobile needs. Research is a cornerstone of human progress, which holds ...

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Data scraping does not quite look like a data breach. But in cases of "mass web scraping," the amount of users' data leaked may trigger breach reporting notification obligations in some jurisdictions.

Organizations using scraped data for AI training should prepare for heightened expectations around data minimization, ...

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 ...

Cloudflare announced new tools Monday that it claims will help end the era of endless AI scraping by giving all sites on its network the power to block bots in one click. That will help stop the ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

AI is not magic. The tools that generate essays or hyper-realistic videos from simple user prompts can only do so because they have been trained on massive data sets. That data, of course, needs to ...