title: Scraping historic data with Python from a specific website - table created out of a form with many rows with isolated header. Automation needed
body: <p>I am trying to do some data scraping from this website: <a href="http://www.meteoprog.sk/sk/fwarchive/Bratislava/" rel="nofollow">http://www.meteoprog.sk/sk/fwarchive/Bratislava/</a></p>
  
  <p>I am essentially looking for monthly weather data (30 dni a noci) from Jan 2012 till Dec 2013. I would like to automate the scraping and save the data in a txt or cvs file. </p>
  
  <p>However, it looks like there is something wrong with the way the table is compiled - my Google Chrome scraper won't pick it up.</p>
  
  <p>I wrote my code to see what data I can get from the table:</p>
  
  <pre><code>import requests
  from bs4 import BeautifulSoup
  
  
  url = 'http://www.meteoprog.sk/sk/fwarchive/Bratislava/'
  response = requests.get(url)
  html = response.content
  
  soup=BeautifulSoup(html)
  table = soup.find("table",attrs={"class":"fwtab"})
  
  for row in table.findAll("tr"):
      print table
  </code></pre>
  
  <p>The numeric values are not showing and this seems to be only picking up the values in the header. 
  Is there any easy way to automate the scraping from this web or any form queried web for that matter?</p>
  
  <p>Any help is very much appreciated.</p>
  
  <p>Thank you!</p>