content: import pandas as pd
  import os
  import time
  from datetime import datetime
  
  # path = "X:/Backups/intraQuarter" # for Windows with X files :)
  # if git clone'ed then use relative path,
  # assuming you extracted the downloaded zip into this project's folder:
  path = "intraQuarter"
  
  def Key_Stats(gather="Total Debt/Equity (mrq)"):
    statspath = path+'/_KeyStats'
    stock_list = [x[0] for x in os.walk(statspath)]
    df = pd.DataFrame(columns = ['Date','Unix','Ticker','DE Ratio'])
    for each_dir in stock_list[1:]:
      each_file = os.listdir(each_dir)
      # ticker = each_dir.split("\\")[1] # Windows only
      # ticker = each_dir.split("/")[1] # this didn't work so do this:
      ticker = os.path.basename(os.path.normpath(each_dir))
      # print(ticker) # uncomment to verify
      if len(each_file) > 0:
        for file in each_file:
          date_stamp = datetime.strptime(file, '%Y%m%d%H%M%S.html')
          unix_time = time.mktime(date_stamp.timetuple())
          full_file_path = each_dir+'/'+file
          source = open(full_file_path,'r').read()
          try:
            value = float(source.split(gather+':</td><td class="yfnc_tabledata1">')[1].split('</td>')[0])
            # print("value=%s"%value) # uncomment to see what's up
            df = df.append({'Date':date_stamp,'Unix':unix_time,'Ticker':ticker,'DE Ratio':value,}, ignore_index = True)
          except Exception as e:
            pass
    save = gather.replace(' ','').replace(')','').replace('(','').replace('/','')+('.csv')
    print(save)
    df.to_csv(save)
  
  Key_Stats()