old_contents: import requests
  from bs4 import BeautifulSoup
  
  FITNESS_URL = "https://connect2concepts.com/connect2/?type=bar&key=650471C6-D72E-4A16-B664-5B9C3F62EEAC"
  
  
  class Fitness(object):
      """Used to interact with the Penn Recreation usage pages.
  
      Usage::
  
          >>> from penn import Fitness
          >>> fit = Fitness()
          >>> fit.get_usage()
      """
  
      def get_usage(self):
          """Get fitness locations and their current usage."""
  
          resp = requests.get(FITNESS_URL, timeout=30)
          resp.raise_for_status()
  
          soup = BeautifulSoup(resp.text, "html5lib")
          output = []
          for item in soup.findAll("div", {"class": "barChart"}):
              data = [x.strip() for x in item.get_text("\n").strip().split("\n")]
              data = [x for x in data if x]
              output.append({
                  "name": data[0],
                  "open": "Open" in data[1],
                  "count": int(data[2].rsplit(" ", 1)[-1]),
                  "updated": data[3][8:].strip(),
                  "percent": int(data[4][:-1])
              })
          return output
  
new_contents: import requests
  import datetime
  from bs4 import BeautifulSoup
  
  FITNESS_URL = "https://connect2concepts.com/connect2/?type=bar&key=650471C6-D72E-4A16-B664-5B9C3F62EEAC"
  
  
  class Fitness(object):
      """Used to interact with the Penn Recreation usage pages.
  
      Usage::
  
          >>> from penn import Fitness
          >>> fit = Fitness()
          >>> fit.get_usage()
      """
  
      def get_usage(self):
          """Get fitness locations and their current usage."""
  
          resp = requests.get(FITNESS_URL, timeout=30)
          resp.raise_for_status()
  
          soup = BeautifulSoup(resp.text, "html5lib")
          output = []
          for item in soup.findAll("div", {"class": "barChart"}):
              data = [x.strip() for x in item.get_text("\n").strip().split("\n")]
              data = [x for x in data if x]
              output.append({
                  "name": data[0],
                  "open": "Open" in data[1],
                  "count": int(data[2].rsplit(" ", 1)[-1]),
                  "updated": datetime.datetime.strptime(data[3][8:].strip(), '%m/%d/%Y %I:%M %p').isoformat(),
                  "percent": int(data[4][:-1])
              })
          return output
  
subject: use iso format