In the modern era, cyber threats are escalating rapidly in complexity, frequency, and impact. Traditional reactive cyber security mechanisms are no longer sufficient to combat sophisticated attacks such as ransomware, phishing, and zero-day exploits. Addressing this urgent need, we present CyberTracker, an integrated real-time system for cyber crime data acquisition, analysis, visualization, and intelligent exploration. The system employs a multi-phase methodology, beginning with automated web scraping to collect cyber incident data from diverse sources, including cyber security intelligence websites, social media platforms, and news outlets. CyberTracker enhances real-time threat visibility, supports proactive decision-making, and contributes to strengthening cyber security posture against emerging threats. It transforms structured data into a graph-based representation for visual exploration of entity relationships and incident patterns. By automating threat intelligence collection, enabling intelligent interaction, and offering visual analytics, the platform provides a comprehensive, scalable, and robust solution for modern cyber crime monitoring.