Python BeautifulSoup Getting a column from table -

2020-04-20 03:29发布

Python newbie here. Python 2.7 with beautifulsoup 4.

I am trying to get parse a webpage to get columns using BeautifulSoup. The webpage has tables inside tables; but table 4 is the one that I want, it does not have any headers or th tag. I want to get the data into column.

from bs4 import BeautifulSoup
import urllib2

url = 'http://finance.yahoo.com/q/op?s=aapl+Options'
htmltext = urllib2.urlopen(url).read()
soup = BeautifulSoup(htmltext)

#Table 8 has the data needed; it is nested under other tables though
# specific reference works as below:
print soup.findAll('table')[8].findAll('tr')[2].findAll('td')[2].contents

# Below loop erros out:
for row in soup.findAll('table')[8].findAll('tr'):
    column2 = row.findAll('td')[2].contents
    print column2

# "Index error: list index out of range" is what I get on second line of for loop.

I saw this as a working solution in another example but didnt work for me. Also tried iterating around tr:

mytr = soup.findAll('table')[8].findAll('tr')

for row in mytr:
    print row.find('td') #works but gives only first td as expected
    print row.findAll('td')[2]

which gives an error that row is a list which is out of index.

So:

  1. First findAll('table') - works
  2. second findAll('tr') - works
  3. third findAll('td') - works only if ALL [ ] are numbers and not variables.

e.g.

print soup.findAll('table')[8].findAll('tr')[2].findAll('td')[2].contents

Above works as it is specific reference but not through variables. But I need it inside a loop to get full column.

1条回答
Evening l夕情丶
2楼-- · 2020-04-20 03:46

I took a look, first row in the table is actually a header so under the first tr there are some th, this should work:

>>> mytr = soup.findAll('table')[9].findAll('tr')
>>> for i,row in enumerate(mytr):
...     if i:
...         print i,row.findAll('td')[2]

as in most cases of html parsing, consider a more elegant solution like xml and xpath, like:

>>> from lxml import html
>>> print html.parse(url).xpath('//table[@class="yfnc_datamodoutline1"]//td[2]')
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