Towards the Information Technology for Online Citizen Services Detection and Assessment on E-Government National Portals

Nowadays, the problems of retrieving, processing, and analyzing information obtained from web sources to get valuable insights, processing large data volumes, and using different data analysis techniques are extremely relevant in cross-disciplinary research, including studies on the intersection of computer science and social sciences.Various social science fields, such as political science, may benefit from the application of web data extraction techniques, when the information should be scraped from websites.Therefore, this paper proposes an approach to the use of information technology for automatic data collection from egovernment national portals, assessment of the online citizen services availability and variety, and further analysis by researchers in political science.The proposed information technology assumes detection of citizen services provided by national portals and their categorization according to the specified branches.The Python programming language is used to develop data processing components, while the Power BI analytical tool is used to visualized the obtained results on the dashboard.The performance of the proposed solution is verified, by processing national portals of several countries that have their homepages allow web scraping and offer English versions.