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Scraping Website: How to Write a Script in Python

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

Retail Analytics Solution from Leader in Data Science SAS

Retail market is changed now. So many companies now open shops across the world. Every business owner tries to increase sales. This is possible with analytics.
retail analytics

Retail Analytics

The study also includes an in-depth look at how best-in-class retailers use analytics, as well as the business analytics software vendor landscape.

Walmart started retail business in India. So the real use of data analytics started now.



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