content: 
  # coding: utf-8
  
  from bs4 import BeautifulSoup
  import pandas as pd
  import requests
  import time
  import progressbar
  
  bar = progressbar.ProgressBar()
  lst = []
  lst_pass = []
  
  for elem,i in zip(range(1697,13000), bar((range(1697,13000)))):
  
      url = "https://www.zueriwieneu.ch/report/" + str(elem)
      response = requests.get(url)
      züri_soup = BeautifulSoup(response.text, 'html.parser')
  
      if züri_soup.find('h1').text != 'Melden Sie Schäden an der Infrastruktur von Zürich':
          Mini_dict = {
              'Kategorie' : züri_soup.find('h1').text,
              'Meldedatum' : züri_soup.find('div', {'class':'problem-header clearfix'}).find('p').text.strip(),
              'Meldung' : züri_soup.find('div', {'class':'problem-header clearfix'}).find_all('p')[1],
              'Antwortdatum' : züri_soup.find('ul', {'class':'item-list item-list--updates'}).find_all('p')[0].text,
              'Antwort' : züri_soup.find('ul', {'class':'item-list item-list--updates'}).find_all('p')[1].text,
              'URL' : url,
              'Lat' : float(züri_soup.find('div', {'id':'js-map-data'}).get('data-latitude')),
              'Long': float(züri_soup.find('div', {'id':'js-map-data'}).get('data-longitude'))
              }
          lst.append(Mini_dict)
      else:
          lst_pass.append(url)
  
  date = time.strftime("%Y-%m-%d%H:%M:%S")
  pd.DataFrame(lst).to_csv(date+'züriwieneu.csv')
  