text: from bs4 import BeautifulSoup
  from park_api.util import convert_date
  from park_api.geodata import GeoData
  
  # This loads the geodata for this city if <city>.geojson exists in the same directory as this file.
  # No need to remove this if there's no geodata (yet), everything will still work.
  geodata = GeoData(__file__)
  
  # This function is called by the scraper and given the data of the page specified as source in geojson above.
  # It's supposed to return a dictionary containing everything the current spec expects. Tests will fail if it doesn't ;)
  def parse_html(html):
  
      # BeautifulSoup is a great and easy way to parse the html and find the bits and pieces we're looking for.
      soup = BeautifulSoup(html, "html.parser")
  
      data = {
          "last_updated": '',     # will fill this later
          # URL for the page where the scraper can gather the data
          "lots": []
      }
  
      # suche: <div id="parkhausliste-ct">
      div_level1 = soup.find_all('div', id='parkhausliste-ct')[-1]
      # <p style="color: #7a7a7b; padding: 18px 0 8px 0">zuletzt aktualisiert am 19.06.2019, 15:27 Uhr</p>
      date_time = div_level1.find('p')
      data['last_updated'] = convert_date(date_time.text, 'zuletzt aktualisiert am %d.%m.%Y, %H:%M Uhr')
  
      # find all entries:
      div_level2 = div_level1.find('div')
      div_level3 = div_level2.find_all('div')
      count = 0
      while (count < len(div_level3)-2) : 
          parking_name = div_level3[count+1].text.strip()
          lot = geodata.lot(parking_name)
          parking_free = 0
          parking_state = 'open'
          try :
              parking_free = int(div_level3[count+2].text)
          except :
              parking_state = 'nodata'
          count += 3
  
          data["lots"].append({
                      "name":     parking_name,
                      "free":     parking_free,
                      "total":    lot.total,
                      "address":  lot.address,
                      "coords":   lot.coords,
                      "state":    parking_state,
                      "lot_type": lot.type,
                      "id":       lot.id,
                      "forecast": False
                  })
  
      return data
  
  