Empirical estimate of demand for labour tasks based on data from online vacancies in Slovakia

The paper empirically estimates labour demand in Slovakia based on data from the online labor market platform Profesia.sk. It focuses on identifying the main trends in the number of job postings, their regional distribution, and occupational breakdown according to the ISCO classification. Data were collected using web scraping and subsequently processed through regression analysis and text analysis using Word Cloud visualization. The paper also analyzes factors influencing labour demand, such as technological innovations, automation, and employers' work preferences. Special attention is given to the differences between office-based work and remote work, as well as the development of offered wages across different regions. The results show that the Bratislava region dominates in the number of job postings, while eastern Slovakia has a higher unemployment rate. Remote work is associated with higher demand for specific skills. Keywords: labour demand, online job postings, IS