**Abstract**

Today, there are several well-known global ranking lists for ranking universities in the world. While some of them ranked only a few hundreds of best and most influential universities, there are those that include a much larger number of ranking scientific institutions. One such global list which ranks the largest number of scientific institutions and scientists in the world is called Webometrics list. This list is very important for less developed economies and developing countries which have not established a sufficient quality control system of higher education quality, so this list serves as a corrective to the international evaluation of a wide range of universities in the world. In such a complex IT system of ranking an extremely large number of institutions and scientists, this system shows some disadvantages when ranking, which of course can be overcome by introducing certain improvements within the system of ranking. Systems that perform the collection, analysis, and indexing data have their advantages and disadvantages, which can sometimes lead to a misinterpretation of the data collected. Among other things, we will consider the possible solutions which would improve the rating system and prevent possible manipulation and uncertainty in the presentation of current and final results ranking.

**Keywords:** webometrics, university ranking systems, ranking scientists, university science transparency, web crawler, web scraping, Internet bot
