Gen Z image and precision analysis of online games big data based on the web crawler technology

In this paper, big data of Gen Z new media by relevant technology is collected and analyzed, and the structure of Gen Z employee image is structured and described, making group characteristics of enterprise employees and the precision information push possible. This study efficiently collects, integrates, and analyzes data, and more accurately reflects users' preferences to meet the needs of today's growing Gen Z market with Beautiful Soup, as well as Python and other algorithms. We calculate the optimal number of clusters with the K-prototype clustering algorithm through the silhouette coefficient based on big data. The results provide a solution for tracking the user's dynamic data and accurate preferences and interests.