group_id: xxx
medicore_id: xxxxxxx
date_of_visit_sample_drawn_date: xxxxxxx
rin: xxxxxx
donor_id: xxxxx
sle_visit_designation: xxxxxxx
bold_shipment_batch: xxxxxx
rna_concentrated: xxxxxx
subject_type: xxxxxxx

from bs4 import BeautifulSoup
import requests

source= requests.get("https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?
acc=GSM2437275").text


soup = BeautifulSoup(source, 'lxml')
table = soup.find_all('table')
for i in table:
  print i.prettify()
print (len(table)) #22 tables

print (table[6].prettify()) #narrow down on relevant table
table = table[6]

table_subtables = table.find_all('table')
for i in table_subtables:
   print (i.prettify())

print len(table_subtables) #14 tables

tbb = table_subtables[1]

tbb_subtable = tbb.find_all('table')
for i in tbb_subtable:
  print (i.prettify())
print len(tbb_subtable) #12 tables

tbbb = tbb_subtable[5]

    tbbb_subtable = tbbb.find_all('table')
for i in tbbb_subtable:
  print (i.prettify())
print len(tbbb_subtable) # 6 tables