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In today”s world, we have tons of unstructured data/information (mostly web data) available freely. Sometimes the freely available data is easy to read and sometimes not. No matter how your data is available, web scraping is very useful tool to transform unstructured data into structured data that is easier to read and analyze. In other words, web scraping is a way to collect, organize and analyze this enormous amount of data. So let us first understand what is web-scraping.
Introduction to Beautiful Soup
The Beautiful Soup is a python library which is named after a Lewis Carroll poem of the same name in “Alice”s Adventures in the Wonderland”. Beautiful Soup is a python package and as the name suggests, parses the unwanted data and helps to organize and format the messy web data by fixing bad HTML and present to us in an easily-traversable XML structures.
In short, Beautiful Soup is a python package which allows us to pull data out of HTML and XML documents.
HTML tree Structure
Before we look into the functionality provided by Beautiful Soup, let us first understand the HTML tree structure.
The root element in the document tree is the html, which can have parents, children and siblings and this determines by its position in the tree structure. To move among HTML elements, attributes and text, you have to move among nodes in your tree structure.
Let us suppose the webpage is as shown below −
Which translates to an html document as follows −
<html>
<head>
<title>TutorialsPoint</title>
</head>
<body>
<h1>Tutorialspoint Online Library</h1>
<p><b>It''s all Free</b></p>
</body>
</html>
Which simply means, for above html document, we have a html tree structure as follows −
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