Data Project with Beautiful Soup - Web Scraping E-Commerce

In this short course we will scrape data from an E-Commerce website, using Beautiful Soup.

Especially for people who work with data it is important to be able to create own datasets. Often we rely on datasets from someone else. This course should show all data enthusiasts how to scrape and store data in Excel Files.

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 the 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.

What you’ll learn

• Web Scraping

• Beautiful Soup

• Data Extraction

• Web Scraping for Data Science

• Data Mining

• Data Scraping & Data Cleaning

Are there any course requirements or prerequisites?

• Basic understanding of Python Programming

Who this course is for:

• Everybody who is interested in Web Scraping, for example Data Scientists

• Professionals who want to create their own dataset without being dependent on some else

What you’ll learn

• web scraping

• data extraction

• beautiful soup

• requests library

Are there any course requirements or prerequisites?

• basic understanding of Python programming

Who this course is for:

• Data Enthusiasts who want to create their own datasets

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

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