title: How to convert the printed results below to dataframe using beautifulsoup on Yahoo Screener?
body: <p>The below code will provide me a range of Price intraday for most active stock on Yahoo Screener</p>
  <p>How do I convert them create into a data frame ?</p>
  <p>Thanks!</p>
  <pre class="lang-py prettyprint-override"><code>from bs4 import BeautifulSoup
  import requests
  url='https://in.finance.yahoo.com/most-active'
  header = {'User-Agent': 's'}
  response=requests.get(url,headers=header)
  soup=BeautifulSoup(response.content, 'lxml')
  
  for item in soup.select('.simpTblRow'):
      print(item.select('[aria-label=Symbol]')[0].get_text())
  
  for item in soup.select('.simpTblRow'):
      print(item.select('[aria-label=&quot;Name&quot;]')[0].get_text())
  
  for item in soup.select('.simpTblRow'):
        print(item.select('[aria-label=&quot;Change&quot;]')[0].get_text())
     
  for item in soup.select('.simpTblRow'):
        print(item.select('[aria-label=&quot;% change&quot;]')[0].get_text())
  
  for item in soup.select('.simpTblRow'):
        print(item.select('[aria-label=&quot;Market cap&quot;]')[0].get_text())
     
  for item in soup.select('.simpTblRow'):
        print(item.select('[aria-label=&quot;Avg vol (3-month)&quot;]')[0].get_text())
  
  for item in soup.select('.simpTblRow'):
        print(item.select('[aria-label=&quot;Volume&quot;]')[0].get_text())
  </code></pre>