As a result of the analysis, it was revealed that social networks (Vkontakte,Facebook), thematic communities in microblogging networks (Twitter), resources for travelers (TripAdvisor), transport portals (Autostrada) are a source of up-to-date and operational information about the traffic situation, the quality of transport services and passenger satisfaction with the quality of levels of transport services. However, the existing transport monitoring systems do not contain software tools capable of collecting and analyzing traffic information located in the Internet environment. This paper discusses the task of building a system for automatically retrieving and classifying road traffic information from transport Internet portals and testing the developed system for analyzing the transport networks of Crimea and the city of Sevastopol. To solve this problem, an analysis of open source libraries for thematic data collection and analysis was carried out. An algorithm for extracting and analyzing texts has been de