In times of global competitive pressures, tourism businesses and destinations are confronted with competition. These pressures create the need to gain knowledge about customer preferences and wishes. The necessary communication with customers and the obtaining of their feedback has become a necessary, but not sufficient, condition. With the development of the Internet, there is a mass shift of communication to web portals and social networks. Businesses are thus forced to extract this information from the Internet. Classic manual data mining with the advent of AI has received new stimuli in the form of scraping, which allows extracting large volumes of structured and unstructured data.. The aim of this study was to analyse four free AI-based scraping tools in the tourism industry. The tools are chosen so that they can be used by researchers or marketers without knowledge of programming language and installation of complex software. The size of the extracted data and storage formats were chosen as authoritative criteria, the priority criterion was the orientation of the user environment in the field of tourism. Although the free versions of the tools were evaluated, the price offer of the individual packages was also chosen as one of the evaluation criteria. Based on the evaluation, Apify and then Browse.AI seem suitable for the needs of tourism.