In this era, marketing strategy, advertisements, collaboration, and publicity of brands - all depends on social media content. People look for this content and share a lot of information on social media channels. Everyone is hooked to checking one or the other webpage for content in their respective niche. The trend of consuming content on the internet is increasing day by day. There are a million articles published every day on the respective websites.
This data can be retrieved and later used to analyze in many different ways.
Well, we cannot copy and paste data from many websites, so with the help of web scraping, we can get the data and save it in formats such as CSV, or Text. Web Scraping is a process of extracting data from any website in an efficient way. It creates a parse tree for parsed pages that can be used to extract data from HTML, which is useful for web scraping.īefore we start with Python codes, let’s first understand what web scraping is all about.
We are using Beautiful Soup to scrape the text data.īeautiful Soup is a Python package for parsing HTML and XML documents. Hey guys! This blog is about a mini project of scraping the contents from the websites.