Web Scraping in Python with BeautifulSoup

In this tutorial, you will learn web scraping and collect data automatically from web pages using Python, BeautifulSoup and Requests Libraries
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 scraping is the practice of gathering data from internet automatically by computer program without 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.
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.
What you’ll learn
Understand the fundamentals of Web Scraping
Web Scraping with Python Beautiful Soup and Requests
Exporting data extracted by Beautifulsoup into CSV, Excel files
Are there any course requirements or prerequisites?
Fundamental knowledge of Python 3
Basics of HTML and Javascript
Internet access
Who this course is for:
Curious in Web Scraping
Curious in Python BeautifulSoup Library
Anyone who wants to automate the task of copying contents from websites
Want to be a Data Scientist or Data Analyst
#Python #WebScraping #Morioh
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