Tracking Leaked Location Data from Mobile Apps: A Python-Powered Citizen Science Project

Following up on a previous post exposing how mobile apps share location data through ads, the author shares a faster, more scalable method using mitmproxy and Python. This allows users to record app traffic and filter for requests containing sensitive data like location information using custom keywords. A GitHub repo with a detailed guide and Python notebook is provided for participation. A crowdsourced spreadsheet collects observations on data sharing behaviors of various apps, encouraging a citizen science effort to uncover app data privacy issues.