text: # If we want to parse the html on a website so we can organize information 
  # more effectively, Anaconda includes the Beautiful Soup library
  from bs4 import BeautifulSoup
  
  # You load in a page from a urllib call, but I prefer to save html and then
  # parse it from my files. Here you can see the file we downloaded earlier:
  
  soup = ""
  
  with open("wikiAttorneys.html","r",encoding="utf8") as rf:
      # lxml just specifies the parser to use. You can leave this off, but I 
      # include it here to supress a warning
      soup = BeautifulSoup(rf.read(),"lxml")
  
  # You can pretty print the file with soup.prettify()
  
  # Let's get all the links:
  links = soup.find_all("a")
  
  # Print the text and url for the first link:
  linktext = links[2].string
  url = links[2].get("href")
  print(f"{linktext}: {url}")
  
  # Lets ge some information off of this page. I'll use my knowledge of html to 
  # extract the necessary information.
  # Find all of the lists on the page:
  lists = soup.find_all('ul')
  
  # The third list on the page contains information on all the attorneys general
  # get each item from the list
  attsgen = lists[2].find_all('li')
  
  # Print out the most recent one (the list item in this list):
  print(f"Current Attorney General: {attsgen[-1].text}")