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 ...

In the age of online information and the rise of artificial intelligence, web scraping has become a widespread method for feeding and training AI systems. However, this proliferation presents major ...

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 ...

Data is the cornerstone of enterprise AI success, yet enterprise AI initiatives often hit an unexpected infrastructure wall: getting clean, reliable data from the web. For the last two decades, web ...

Cloudflare, one of the world’s largest internet infrastructure providers, has begun blocking AI web crawlers by default unless they receive direct permission from site owners. This new policy changes ...

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, ...

In an attempt to address ongoing regulatory uncertainty about how the UK General Data Protection Regulation (UK GDPR) and UK Data Protection Act 2018 apply to the development and use of generative ...

Octopus Data Inc., the company behind the web data extraction platform Octoparse, today announced full support for Model Context Protocol (MCP). Serving over 6 million users globally, Octoparse is ...

Rather than block web scrapers, Cloudflare invites them to trawl a web of useless ‘AI-generated nonsense.’ Rather than block web scrapers, Cloudflare invites them to trawl a web of useless ...

An increasing number of agencies are waking up to a growing threat: AI companies are quietly scraping creative work on the web without permission. What started as a concern for authors and artists is ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...