Instead of Python 3, you use the Python 2 methodology.
Edit:
outfile=open('./immates.csv','wb')
To:
outfile=open('./immates.csv','w')
and you will get a file with the following output:
SNo,States,Dist,Population 1,Andhra Pradesh,13,49378776 2,Arunachal Pradesh,16,1382611 3,Assam,27,31169272 4,Bihar,38,103804637 5,Chhattisgarh,19,25540196 6,Goa,2,1457723 7,Gujarat,26,60383628 .....
In Python 3, csv takes input in text mode, while in Python 2 it takes it in binary mode.
Edited to add
Here is the code I ran:
url='http://www.mapsofindia.com/districts-india/' html = urllib.request.urlopen(url).read() soup = BeautifulSoup(html) table=soup.find('table', attrs={'class':'tableizer-table'}) list_of_rows=[] for row in table.findAll('tr')[1:]: list_of_cells=[] for cell in row.findAll('td'): list_of_cells.append(cell.text) list_of_rows.append(list_of_cells) outfile = open('./immates.csv','w') writer=csv.writer(outfile) writer.writerow(['SNo', 'States', 'Dist', 'Population']) writer.writerows(list_of_rows)