A typical task in bioinformatics analysis is the usage of online tools. Regardless of the task to be done, there is a general approach to display results in tables so that the user can sort the results or filter them or just view them and try to understan

parsehtmltable.py

from BeautifulSoup import BeautifulSoup
import urllib
import xlwt
wb = xlwt.Workbook()
ws = wb.add_sheet('a test sheet')
f = urllib.urlopen("http://www.ebi.ac.uk/Tools/services/web/blastresult.ebi?tool=ncbiblast&jobId=ncbiblast-I20120714-161017-0108-80986175-pg&context=nucleotide")
html = f.read()
soup = BeautifulSoup(html)
#print soup.prettify()
#print soup
 
table = soup.find("table",id="alignmentTable")
  
rows = table.findAll("tr")
x = 0
for tr in rows:
    cols = tr.findAll("td")
    if not cols: 
        # when we hit an empty row, we should not print anything to the workbook
        continue
    y = 0
    for td in cols:
        texte_bu = td.text
        texte_bu = texte_bu.encode('utf-8')
        texte_bu = texte_bu.strip()
        ws.write(x, y, td.text)
        print(x, y, td.text)
        y = y + 1
    # update the row pointer AFTER a row has been printed
    # this avoids the blank row at the top of your table
    x = x + 1
 
wb.save('BlastResults.xls')