Python Web Scrapping cannot extract table data I wanted

Here is what I am trying to accomplish from the page https://stellar.expert/explorer/public/asset/native?cursor=15297&filter=asset-holders

1. extract the data in the table columns (Account and Account balance)
2. write the extracted data fields into a text file.
3. I am trying to extract multiple pages like from 15297 to 15500.

I am still very new to python and web scrapping and I had been struggling to get the desired output. Help will be very appreciated. Thank you.

from bs4 import BeautifulSoup
try:
    import urllib.request as urllib2
except ImportError:
    import urllib2
from time import sleep

url = 'https://stellar.expert/explorer/public/asset/native?cursor=15297&filter=asset-holders'
page = urllib2.urlopen((url))
soup = BeautifulSoup(page, 'html.parser')

for div in soup.find_all('div', attrs={'class': 'table exportable space'}):
    address = div.find('tbody', attrs={'class': "account-address"})
    address = address.text.strip() 
    print (address)

    bal = div.find('tbody', attrs={'class': "text-right nowrap"})
    bal = bal.text.strip() 
    print (balance)
print ("%s%s\n" % ("page=", str(URL)))

Output I wanted to get written to (result.txt):

 GBMN2KIUQS66JMJHVOCA7N3S35F4F5PTY63XG3BJKKDMLPI4HPHA7QNU: 27,005 XLM
 GBWVMIVJQNILFPHACV4Q7QM7VBOOQ35IQXEOOXO7WBXA4KX7OEADOU65: 27,004 XLM
 GD3UXDHKS5EIKSL3PIG3NTVCCK5EQX73JMFJBFBROX3BAZ4K6437TZAC: 27,003 XLM
 GBYUHMDQYNNDMJWOVODTZUKWOTVJXA2PCTDOF6J5NQS5DGMMJAL6B66L: 27,002 XLM
 GDD3AQFXWWHWEFAOU4AWPZCT3Q6EVK4WYHWSG2EBQB3Z43KZSXJEK6WB: 27,001 XLM