text: # Import libraries
  from bs4 import BeautifulSoup, SoupStrainer
  import requests
  import csv
  import pandas as pd
  
  data = [
  "https://www.linkedin.com/learning/strategic-planning-foundations",
  "https://www.linkedin.com/learning/managerial-economics",
  "https://www.linkedin.com/learning/project-management-foundations-4",
  "https://www.linkedin.com/learning/creating-and-giving-business-presentations",
  "https://www.linkedin.com/learning/excel-data-analysis-forecasting",
  "https://www.linkedin.com/learning/forecasting-using-financial-statements"
  ]
  
  for row in data:
      
      # Prompt user to enter the URL
      url = row
  
      # Make a request to get the URL
      page = requests.get(url)
  
      # Get the response code of given URL
      response_code = str(page.status_code)
  
      # Display the text of the URL in str
      # data = page.text
  
      # Use BeautifulSoup to use the built-in methods
      # soup = BeautifulSoup(data)
  
      print("Url: " + url + f" | Status Code: {response_code}")
  
  # Iterate over all links on the given URL with the response code next to it
  # for link in soup.find_all('a'):
  #    print(f"Url: {link.get('href')} " + f"| Status Code: {response_code}")
  