The lack of availability of information on academic papers is a problem, especially if they are to be used for analysis and data overview. Services that provide such information usually do not have all the information required, do not follow a particular data structure, or have other limitations such as the amount of data that can be downloaded, time frames within which data can be retrieved, data access requirements, disallowing data analysis on downloaded data, and the like. The aim of this paper was to provide a simpler and more accessible solution for using academic data for analysis and data overview. Data collection, processing and storage methods are suggested. Scripting languages were used to collect data. They accelerate the development of temporary systems with their accessibility and high level of abstraction. Collected data was processed in several steps. After analyzing the data collected, all the data that was available from the data source was converted into the proposed format. Some methods for accelerating data processing are also described. The system was proposed to be opened for use to encourage collaboration and further development. System setup for production environment was described as well as data transfer security and various ways of serving data.