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We will be scraping data from Flipkart website and then will use the data to create a DataFrame, which used for data analysis.
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## Web-Scraping
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Web scraping is an automatic method to obtain large amounts of data from websites.
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Most of this data is unstructured data in an HTML format which is then converted into structured data in a spreadsheet or a
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database so that it can be used in various applications.
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## Data Frame
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A data frame is a table or a two-dimensional array-like structure in which each column contains values of one variable
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and each row contains one set of values from each column.
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## Python Libraries Required
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- BeautifulSoup - It has been used to extract the HTML elements from website.
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- Urllib - It has been to send and recieve the request in order to fetch the data from FlipKart.
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- Pandas - It is used to create and store dataframes into .csv format.
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## Setup Packages
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- pip install requests
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- pip install pandas
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- pip install bs4
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## Workflow
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1. Go to the url : <ahref = 'https://www.flipkart.com/search?p%5B%5D=facets.brand%255B%255D%3DSamsung&sid=tyy%2F4io&sort=recency_desc&wid=1.productCard.PMU_V2_1'> FlipKart Samsung Mobiles </a>
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