Automated web scraping can efficiently process large amounts of data with limited human effort. The goal of this thesis is to develop a tool enabling web scraping of a specific product in e-shops. The author will provide an introduction to the legal aspects of web scraping and summarizes important findings from this area. An analysis of existing solutions will be carried out, which will summarize the features and shortcomings of tools available in this area. The practical outcome of the work will be a program designed to automate the online purchasing of discounted or limited products at selected e-shops. For better efficiency, it will allow running in multiple threads to solve the possible limitation of outgoing requests. It will provide various pre-created profiles on selected e-shops and proxies in case of limiting requests per user or IP address. The tool will also be ready to work with e-shops that contain protection against bots. It will have a simple graphical user interface in the form of a desktop application. The resulting tool will be tested and provided with documentation.