Summary
The aim of this study is to present a model for utilizing Big Data in the process of forecasting tourism demand, taking into account methods of analyzing large data sets in the context of market trends and tourist behavior. This model is based on the application of web scraping techniques to collect data from a booking platform, enabling the identification of patterns and the prediction of future demand for tourism services.