Python BeautifulSoup scrape tables

Question

I am trying to create a table scrape with BeautifulSoup. I wrote this Python code:

import urllib2
from bs4 import BeautifulSoup

url = "http://dofollow.netsons.org/table1.htm"  # change to whatever your url is

page = urllib2.urlopen(url).read()
soup = BeautifulSoup(page)

for i in soup.find_all('form'):
    print i.attrs['class']

I need to scrape Nome, Cognome, Email.

Answer 1

Loop over table rows (tr tag) and get the text of cells (td tag) inside:

for tr in soup.find_all('tr')[2:]:
    tds = tr.find_all('td')
    print "Nome: %s, Cognome: %s, Email: %s" % \
          (tds[0].text, tds[1].text, tds[2].text)

prints:

Nome:  Massimo, Cognome:  Allegri, Email:  [email protected]
Nome:  Alessandra, Cognome:  Anastasia, Email:  [email protected]
...

FYI, [2:] slice here is to skip two header rows.

UPD, here's how you can save results into txt file:

with open('output.txt', 'w') as f:
    for tr in soup.find_all('tr')[2:]:
        tds = tr.find_all('td')
        f.write("Nome: %s, Cognome: %s, Email: %s\n" % \
              (tds[0].text, tds[1].text, tds[2].text))