Transparency is at the heart of Ghostery experience. This is why Ghostery not only blocks ads, trackers, and other annoyances, but also shows how online tracking works by naming all the organizations that participate in data exchange over internet.
Data exchange can easily uncover personal details by private identifiers, often referred to as tracking. However, not every request from an organization involves data collection (i.e., not every request an organization makes is inherently invasive). Organizations often display a range of behavioral patterns, some of which can be intrusive to user privacy, while others are benign.
At Ghostery, we're committed to describing things exactly as they are.
The structure of Ghostery Tracker Database is simple and consists of three main elements:
- categories - advertising, site analytics, consent management, etc.
- organizations - companies like Google or Facebook, but also open source software like Matomo
- patterns - that express various behaviors performed by organizations. For example, a pattern for Google Analytics is categorized as site analytics, but a pattern for Google Tag Manager is categorized as essential.
The Tracker Database is used in Ghostery Browser Extension to categorize all requests we see while browsing the web. It is also used to publish WhoTracks.me, the world's largest statistical report on the tracking online.
It is also used by universities, journalists, and companies that want to understand the nature of the web data exchange.
Ghostery Tracker Database can also be used in a commnad line, for example with:
npx @ghostery/trackerdb "https://analytics.tiktok.com"Ghostery Tracker Database is published under CC-BY-NC-SA-4.0 license which means it is free to use for non-commercial purposes. If you want to use it in your business, please contact [email protected].