You can iterate row by row inside the <table>, where all information is stored. For example:
import requests
from bs4 import BeautifulSoup
url = 'https://in.finance.yahoo.com/gainers?offset=0&count=100'
soup = BeautifulSoup(requests.get(url).content, 'html.parser')
fmt_string = '{:<15} {:<60} {:<10} {:<10} {:<10} {:<10} {:<10} {:<10} {:<10}'
print(fmt_string.format('Symbol', 'Name', 'Price(int)', 'Change', '% change', 'Volume', 'AvgVol(3M)', 'Market Cap', 'PE ratio'))
for row in soup.select('table:has(a[href*="/quote/"]) > tbody > tr'):
cells = [td.get_text(strip=True) for td in row.select('td')]
print(fmt_string.format(*cells[:-1]))
Prints:
Symbol Name Price(int) Change % change Volume AvgVol(3M) Market Cap PE ratio
CCCL.NS Consolidated Construction Consortium Limited 0.2000 +0.0500 +33.33% 57,902 290,154 159.404M N/A
KSERASERA.NS KSS Limited 0.2500 +0.0500 +25.00% 1.607M 2.601M 533.97M N/A
BONLON.BO BONLON INDUSTRIES LIMITED 21.60 +3.60 +20.00% 16,000 N/A N/A N/A
MENONBE.NS Menon Bearings Limited 52.80 +8.80 +20.00% 2.334M 65,713 2.952B 25.05
RPOWER.NS Reliance Power Limited 3.3000 +0.5500 +20.00% 127.814M 18.439M 9.223B N/A
11DPD.BO Nippon India Mutual Fund 0.0600 +0.0100 +20.00% 190 N/A N/A N/A
ABFRLPP-E1.NS Aditya Birla Rs.5 ppd up 105.65 +17.60 +19.99% 1.238M N/A N/A N/A
500110.BO Chennai Petroleum Corporation Limited 64.55 -0.15 -0.23% 42,765 61,584 9.612B N/A
ABFRLPP.BO Aditya Birla Fashion and Retai 106.05 +17.65 +19.97% 387,703 N/A N/A N/A
RADIOCITY.NS Music Broadcast Limited 21.35 +3.55 +19.94% 12.657M 1.013M 7.38B 124.13
RADIOCITY.BO Music Broadcast Limited 21.35 +3.55 +19.94% 898,070 90,236 7.38B 124.13
MENONBE.BO Menon Bearings Limited 52.65 +8.75 +19.93% 137,065 8,648 2.951B 24.98
MTNL.BO Mahanagar Telephone Nigam Limited 10.72 +1.78 +19.91% 1.142M 156,275 6.754B N/A
...and so on.
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