This article explores the synergy between web scraping techniques and artificial intelligence in extracting, processing, and analyzing large-scale online data. By combining traditional scraping tools with machine learning models, such as transformers and named entity recognition systems, the study demonstrates how raw web data can be transformed into actionable insights. The proposed pipeline was tested on real-world datasets, including news sites and product reviews. Results show significant improvements in data quality, classification accuracy, and analysis speed. This research offers a scalable framework for AI-powered online data mining.