Python scripting is becoming increasingly popular for automating everyday tasks, thanks to its simplicity and versatility ...

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 ...

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 ...

Abstract: We live in the age of online shopping - proliferation of Ecommerce platforms such as Amazon has become critical sources of feedback for consumers, through product reviews. With tons of data, ...

Reports reveal that OpenAI uses Google Search data to answer some of users' questions. The topics that use Google Search data mostly surround news, sports, and financial markets. OpenAI retrieves the ...

Written in Rust, the PyApp utility wraps up Python programs into self-contained click-to-run executables. It might be the easiest Python packager yet. Every developer knows how hard it is to ...

As the race for real-time data access intensifies, organizations are confronting a growing legal and operational challenge: web scraping. What began as a fringe tactic by hobbyists has evolved into a ...

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 ...

Reddit has reportedly claimed AI model builders hungry for training data have been scraping its platform using the Internet Archive’s Wayback Machine. The Verge reports that Reddit has blocked the ...

Oxylabs reveals the speakers joining OxyCon 2025, the go-to web scraping event that brings together data professionals worldwide. Experts from Turing, NielsenIQ and TEGOS Legal will come together with ...