Web Scraping APIs for Data Science and PostgreSQL+Excel

In this course, the students will get to know how to scrape data from the API of a website (if available). We start with the fundamentals and the beginner-level project. After that, two different projects will be covered, followed by the advanced project. After scraping the data of each project, the results will be stored inside an Excel file. Within the advanced level project, we will create two different datasets with 5000 results each. The goal is to merge both data frames (total: 10000 results), save it in Excel output the data in the PostgreSQL database and run SQL commands on our own data.

The requirement for this course is basic knowledge of Python Programming. Since we will not cover very difficult Python topics you do not have to be a professional. The most important characteristic is that you are curious about Web Scraping and Data Mining. You should be ready to invest time in gaining the knowledge which is taught in this course.

After this course, you will have the knowledge and experience to scrape your own data and create your own dataset. With the help of the course resources, you will always have documents you can refer to. If you have a question or if a concept just does not make sense to you, you can ask your questions anytime inside the Q&A - Forum. Either the instructor or other students will answer your question. Thanks to the community you will never have the feeling to learn alone by yourself.

Disclaimer: I teach web scraping as a tutor for educational purposes. That's it.

The first rule of scraping the web is: to not harm a certain website. The second rule of web crawling is: do NOT harm a certain website.