Web browsers are widely used computer applications that assist user in engaging in various activities, such as browsing the internet, downloading files, interacting with social medial networks, and managing email. As web browsers store critical user data, they become essential for investigating online malicious activities. This study explores various method used to analyze web browser data in the field of digital forensics, focusing on different types of data, including url’s, timestamp, browser versions, download files and search queries. The organization of this data depends on the operating system, which requires specific methods tailored to each situation. Digital forensics, a crucial branch of forensic science, focuses on extracting and examining digital information from devices to detect criminal activities or verify device breaches. Web browser analysis plays a significant role in digital forensics, contributing to both criminal and civil cases due to the vast amount of evidence generated by online activities. This study reviews the primary techniques and methods used for web browser analysis, assessing their advantages and disadvantages. Additionally, it presents an innovative approach to evidence collection and analysis to advance forensic science. As web browsers enable tasks like internet browsing, file downloading, email access, and social media interaction, they are vital sources of evidence in digital forensic investigations, especially in cases involving cybercrime or malicious activities. This research focuses on the methods used to analyze key types of web browser data, such as URLs, timestamps, browser versions, downloaded files, access times, and search queries. Given the variation in data storage methods across different browsers and operating systems, forensic techniques must be customized for each scenario. By reviewing the current web browser analysis tools and techniques, this study highlights their advantages and limitations while introducing a novel framework for evidence collection and analysis. This framework aims to improve the accuracy and effectiveness of forensic investigations, addressing the complexities of browser data across platforms and advancing the field of forensics science in the investigation of digital crimes.