Web scraping is the process of using bots to extract content and data from a website. Unlike screen scraping, which only copies pixels displayed on screen, web scraping extracts underlying HTML code and, with it, data stored in a database. The scraper can then replicate entire website content elsewhere.

in this repository one python file is Flipkart.py

• In this file i have used python beautifulsoup to extract data.
• here i have extracted category wise data from the Flipkart website.
• basically in this Flipkart.py file i have scraped mobile category data.
• if you want to scrap another category data then you need to change in my_url variable and drop your link there.  

• there is no need to data-base for Web-Scraping.
• but if you want to perform analysis operations on the abstracted data then you need to store abstracted data in Database.
• in this Repository we have added flipkart.sqlite database file for store data.
• if you want to change the Database file then you need to make some changes in Flipkart.py file.
• you Don't need to create a table in the database, once Flipkart.py file is executed it creates a required table.