Criminal Activity Identification Using E-Mail ID

This paper introduces a novel approach to criminal identification and activity tracking using Python and APIs. It outlines a method for extracting email addresses and phone numbers associated with individuals, followed by the tracking of their recent online activities. Leveraging data mining, web scraping, and API integration, this system ensures adherence to legal and ethical standards while respecting privacy and consent. It offers a comprehensive framework for monitoring an individual's digital presence, benefiting law enforcement, private investigators, and researchers. This study sheds light on the potential advantages and challenges of employing Python and APIs for this purpose, contributing to the evolving landscape of criminal identification.