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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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Top Companies Who Need Data Analysts

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The following list of companies hiring analytics candidates.
companies using analytics

Companies Recruting Analytics Firms

  1. Amazon.com
  2. Bill and Melinda Gates Foundation
  3. INVISTA
  4. Nordstrom
  5. PopCap Games
  6. Salesforce.com
  7. Starbucks
  8. T-Mobile
  9. Tacoma Housing Authority
  10. Target

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