Web Scraping is the process of extracting data from a website and this extracted data can be stored in various formats like SQL, Excel, and HTML. Although there are various tools available to perform web scraping - Python is considered as one of the best for Web Scraping especially due to Beautiful Soup, Scrapy, and other libraries that support web scraping.
Here, in this video, we’re going to discuss all the steps from scratch required to do Web Scraping using Python such as what dependencies you need to install, what code you need to write along with its explanation, etc. with a live implementation example.
Check Out the Related Articles:
What is Web Scraping and How to Use It?[https://www.geeksforgeeks.org/what-is-web-scraping-and-how-to-use-it/]
Implementing Web Scraping in Python with BeautifulSoup [https://www.geeksforgeeks.org/implementing-web-scraping-python-beautiful-soup/]
- 00:00 Introduction
- 00:30 Primary Requirement - Install Python
- 01:14 How to Install Beautiful Soup?
- 02:18 How to Install Requests Module?
- 02:42 What is Web Scraping in actual?
- 03:28 Web Scraping using Python - Live Implementation
- 06:10 How to Get Specific Data from Web Scraping
- 07:45 Closing Notes!
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