![]() ![]() With the help of regular expressions, we can specify some rules for the possible set of strings we want to match from the data. It is also called RE or regexes or regex patterns. We can use it through re module of Python. They are highly specialized programming language embedded in Python. The following methods are mostly used for extracting data from a web page − Regular Expression Different Ways to Extract Data from Web Page It will provide the information about particular area or element of that web page. You can implement this by right clicking and then selecting the Inspect or Inspect element option from menu. But the difference is that it will resolve the issue of formatting and whitespaces in the source code of web page. This is another way of analyzing web page. Inspecting Page Source by Clicking Inspect Element Option But the main concern is about whitespaces and formatting which is difficult for us to format. Then, we will get the data of our interest from that web page in the form of HTML. To implement this, we need to right click the page and then must select the View page source option. This is a way to understand how a web page is structured by examining its source code. We can do web page analysis in the following ways − Viewing Page Source ![]() Web page analysis is important because without analyzing we are not able to know in which form we are going to receive the data from (structured or unstructured) that web page after extraction. Now, the question arises why it is important for web scraping? In this chapter, let us understand this in detail. Analyzing a web page means understanding its sructure.
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