Learn Web Scraping in Python with BeautifulSoup Library

When the webpage structure is so complicated, making it difficult to extract specific pieces of data, or when you need to open so many pages to extract data from each of them, the manual process can become boring and time-wasting, and that is when automated Web Scraping can make the process more efficient and effective.

Web scrapingis the practice of gathering data from internet automatically by computer programwithout using API and web browser.

Instead of copy pasting important data by a human from a web browser visiting a website, web scraping can automate the process. Web scraping is now very important for a data scientist. A data scientist analysis data collected from various media. Now most of the data comes from different websites. As Python programming is very popular for harvesting data, many data scientist use Python programming to solve that.

I created this course as short and useful as possible. Within short period of time, you can learn all the important topics and techniques about web scraping using Python. So using the same technique you can apply to scrap other similar webpage as well using Python.

This Web Scraping course covers the following topics:

• Learn Python Web Scraping fundamentals.

• Use BeautifulSoup & Requests to scrape websites with Python

• Learn how to save your scraped output into dataframe

So let’s start your Web Scraping real-life project.

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!