Web Scraping mit Beautiful Soup auf Deutsch

In this course, you'll learn how to extract data from websites. The main tool will be the Beautiful Soup (BS 4) library. It's essential for people who work with data to be able to create their datasets. We often rely on datasets from others. This course is intended to show all "data enthusiasts" how to scrape and save data in Excel files.

After covering the basics, this course will focus on three different projects. We'll start with a beginner's project. Then we'll move on to a project for advanced users, and finally, we'll cover a topic for "professionals." The prerequisite for this course is basic knowledge of Python programming. Since we won't be covering complicated Python topics, you don't need to be a professional. The most important quality is that you're curious about learning web scraping and data mining. You should be willing to invest time to learn the concepts taught in this course.

After this course, you will have the knowledge and experience to scrape your data and create your datasets. Using the resources provided in the course, you will have documents that can be used in your projects. If you have a question or a concept that doesn't make sense to you, you can always ask in the Q&A forum. Either the instructor or other participants will answer your question. Thanks to the community, you'll never feel like you're learning alone.

Disclaimer: I teach web scraping as a tutor for educational purposes and to teach enrolled participants programming. The first rule of web scraping is: do not harm a specific website. The second rule of web crawling is: DO NOT harm a specific website. I ask each participant of this course not to use the acquired knowledge (web scraping) illegally. Furthermore, I expressly distance myself from any intention that could cause harm to a specific website.