This final thesis deals with the systematized extraction of content from web pages, methods and tools that enable automated data collection from the Internet. The introduction provides an overview of the problem and how these problems are solved. Various types of extraction are explained in detail, including static and dynamic extraction, DOM parsing, API extraction, Headless Browser Scraping, RSS feeds, OCR technology, and the use of proxy servers and IP address rotation. In addition to different types of extraction, the most popular extraction tools such as BeautifulSoup, Scrapy, Selenium, Tesseract and others are briefly described, along with their characteristics and applications. The problems to be solved are described and the goals that the project will achieve are set. The bulk of the paper will detail the development of a systematized extraction application, from setting up the work environment and database design, to implementing the code and running the scripts at runtime on different operating systems. The paper ends with a conclusion that summarizes the most important points. The paper provides a comprehensive overview of the techniques and tools required for efficient automation of data collection and offers a practical solution through the development of a customized application.