scraping data from a web table using python and Beautiful Soup

Cricket data.py

import urllib2
from bs4 import BeautifulSoup
# http://segfault.in/2010/07/parsing-html-table-in-python-with-beautifulsoup/

f = open('cricket-data.txt','w')
linksFile = open("linksSource.txt")
lines = list(linksFile.readlines())
for i in lines[12:108]: #12:108
	url = "http://www.gunnercricket.com/"+str(i)
	try:
		page = urllib2.urlopen(url)
	except:
		continue
	soup = BeautifulSoup(page)
	title = soup.title
	date = title.string[:4]+',' #take first 4 characters from title
	
	try:
		table = soup.find('table')
		rows = table.findAll('tr')

		for tr in rows:
			cols = tr.findAll('td')
			text_data = []
			for td in cols:
				text = ''.join(td)
				utftext = str(text.encode('utf-8'))
				text_data.append(utftext) # EDIT
			text = date+','.join(text_data)
			f.write(text + '\n') 
	except:
		pass
f.close()

import pandas as pd
from pandas import Series, DataFrame

from bs4 import BeautifulSoup
import json
import csv

import requests

import lxml

url = "http://espn.go.com/college-football/bcs/_/year/2013 "

result = requests.get(url)

c= result.content
soup = BeautifulSoup((c), "lxml")

soup.prettify()

summary = soup.find('table',attrs = {'class':'tablehead'})
tables = summary.find_all('table')

#tables = summary.fins_all('td' /'tr')

data =[]

rows = tables[0].findAll('tr')
'''
for tr in rows:
cols = tr.findAll('td')
for td in cols:
text = td.find(text = True)
print (text),
data.append(text)
'''
soup = BeautifulSoup((html), "lxml")
table = soup.find('table', attrs = {'class' : 'tablehead'})

list_of_rows=[]

for row in table.findAll('tr')[0:]:
list_of_cells=[]
for cell in findAll('td'):
text = cell.text.replace(' ','')
list_of_cells.append(text)
list_of_rows.append(list_of_cells)

outfile = open("./Rankings.csv", "wb")
writer = csv.writer(outfile)
writer.writerows(list_of_rows)

Can please you help me with this code? Am using python 3.5