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Scraping Website: How to Write a Script in Python

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Here's a python script that you can use as a model to scrape a website. Python script The below logic uses BeautifulSoup Package for web scraping. import requests from bs4 import BeautifulSoup url = 'https://www.example.com' response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') # Print the title of the webpage print(soup.title.text) # Print all the links in the webpage for link in soup.find_all('a'):     print(link.get('href')) In this script, we first import the Requests and Beautiful Soup libraries. We then define the URL we want to scrape and use the Requests library to send a GET request to that URL. We then pass the response text to Beautiful Soup to parse the HTML contents of the webpage. We then use Beautiful Soup to extract the title of the webpage and print it to the console. We also use a for loop to find all the links in the webpage and print their href attributes to the console. This is just a basic example, but
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Data Science in Retail Marketing and Opportunities

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Data Science and Analytics started by all big companies including Shoppers top and Wal-mart.

retail analytics

Data Science in Retail

Shoppers Stop started big data analytics to study customers behavior. Started with one of the easiest programs. Where they studied customer loyalty program.

Some Insights

  • Studied patterns
  • Studied customer buying styles
  • Some people buy shirt-only and some people buy both Shirt and Trouser
  • Studied buying patterns of Women buyers
Read more at Live Mint

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