Python BeautifulSoup scrape tables

问题:

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.

回答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:

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)) 

文章来源: Python BeautifulSoup scrape tables