Abstract
The preparation stage of data is the most fundamental block to dive into the world of artificial intelligence. The magic lies in the efficient usage of clean data from a heap of raw information. In this section the author will walk through a concealed layer of data preprocessing. Data collection makes the initial contribution in the life cycle of data. There are various effective ways to collect data from worldwide. This section represents a familiar technique to obtain data from heap which is often known as Web Scraping. It is an automated system that extricates data from the internet. The benefit added to this system is it involves open-source tools in its functionality. The author will discuss how Python language with its vast library support implements web scraping to collect data from internet.
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