Websites are constantly adapting the methods used, and intensity with which\nthey track online visitors. However, the wide-range enforcement of GDPR since\none year ago (May 2018) forced websites serving EU-based online visitors to\neliminate or at least reduce such tracking activity, given they receive proper\nuser consent. Therefore, it is important to record and analyze the evolution of\nthis tracking activity and assess the overall "privacy health" of the Web\necosystem and if it is better after GDPR enforcement. This work makes a\nsignificant step towards this direction. In this paper, we analyze the online\necosystem of 3rd-parties embedded in top websites which amass the majority of\nonline tracking through 6 time snapshots taken every few months apart, in the\nduration of the last 2 years. We perform this analysis in three ways: 1) by\nlooking into the network activity that 3rd-parties impose on each publisher\nhosting them, 2) by constructing a bipartite graph of "publisher-to-tracker",\nconnecting 3rd parties with their publishers, 3) by constructing a\n"tracker-to-tracker" graph connecting 3rd-parties who are commonly found in\npublishers. We record significant changes through time in number of trackers,\ntraffic induced in publishers (incoming vs. outgoing), embeddedness of trackers\nin publishers, popularity and mixture of trackers across publishers. We also\nreport how such measures compare with the ranking of publishers based on Alexa.\nOn the last level of our analysis, we dig deeper and look into the connectivity\nof trackers with each other and how this relates to potential cookie\nsynchronization activity.\n