Web Scrape question

Hello, I just have a question.

Im using Jupyter Labs to test code to pull this information.

import bs4 as bs
import urllib.request
import pandas as pd
dfs = pd.read_html('https://www.clevelandbrowns.com/team/standings/',header=0)
for df in dfs:
    print (df)

Here’s the output

                   AFC NORTH  W  L  T  PCT   PF   PA  Net Pts       Home  \

0 Baltimore Ravens Ravens 3 2 0 0.6 161 123 38 1 - 1 - 0
1 Cleveland Browns Browns 2 2 0 0.5 89 91 -2 0 - 2 - 0
2 Pittsburgh Steelers Steelers 1 4 0 0.2 99 114 -15 1 - 2 - 0
3 Cincinnati Bengals Bengals 0 5 0 0.0 80 136 -56 0 - 2 - 0

    Road        Div  Pct       Conf  Pct.1   Non-Conf Strk     Last 5  

0 2 - 1 - 0 1 - 1 - 0 0.5 2 - 2 - 0 0.500 1 - 0 - 0 1W 3 - 2 - 0
1 2 - 0 - 0 1 - 0 - 0 1.0 2 - 1 - 0 0.667 0 - 1 - 0 1W 2 - 2 - 0
2 0 - 2 - 0 1 - 1 - 0 0.5 1 - 2 - 0 0.333 0 - 2 - 0 1L 1 - 4 - 0
3 0 - 3 - 0 0 - 1 - 0 0.0 0 - 2 - 0 0.000 0 - 3 - 0 5L 0 - 5 - 0
AFC EAST W L T PCT
0 New England Patriots Patriots 5 0 0 1.0
1 Buffalo Bills Bills 4 1 0 0.8
2 New York Jets Jets 0 4 0 0.0
3 Miami Dolphins Dolphins 0 4 0 0.0
AFC WEST W L T PCT
0 Kansas City Chiefs Chiefs 4 0 0 1.0
1 Oakland Raiders Raiders 3 2 0 0.6
2 Los Angeles Chargers Chargers 2 3 0 0.4
3 Denver Broncos Broncos 1 4 0 0.2
AFC SOUTH W L T PCT
0 Houston Texans Texans 3 2 0 0.6
1 Indianapolis Colts Colts 2 2 0 0.5
2 Jacksonville Jaguars Jaguars 2 3 0 0.4
3 Tennessee Titans Titans 2 3 0 0.4
NFC WEST W L T PCT
0 San Francisco 49ers 49ers 3 0 0 1.0
1 Seattle Seahawks Seahawks 4 1 0 0.8
2 Los Angeles Rams Rams 3 2 0 0.6
3 Arizona Cardinals Cardinals 1 3 1 0.3
NFC EAST W L T PCT
0 Philadelphia Eagles Eagles 3 2 0 0.6
1 Dallas Cowboys Cowboys 3 2 0 0.6
2 New York Giants Giants 2 3 0 0.4
3 Washington Redskins Redskins 0 5 0 0.0
NFC SOUTH W L T PCT
0 New Orleans Saints Saints 4 1 0 0.8
1 Carolina Panthers Panthers 3 2 0 0.6
2 Tampa Bay Buccaneers Buccaneers 2 3 0 0.4
3 Atlanta Falcons Falcons 1 4 0 0.2
NFC NORTH W L T PCT
0 Green Bay Packers Packers 4 1 0 0.800
1 Detroit Lions Lions 2 1 1 0.625
2 Chicago Bears Bears 3 2 0 0.600
3 Minnesota Vikings Vikings 3 2 0 0.600

I really only need the top information (Minus the leading 0,1,2,3 and maybe lined up better)
also how would I go about getting this information into a lovelace view and is it possible to get this information to update automaticaly? Please forgive me im very new to this and just to get this far I put in way too much time lol. thanks!

                   AFC NORTH  W  L  T  PCT   PF   PA  Net Pts       Home  \

0 Baltimore Ravens Ravens 3 2 0 0.6 161 123 38 1 - 1 - 0
1 Cleveland Browns Browns 2 2 0 0.5 89 91 -2 0 - 2 - 0
2 Pittsburgh Steelers Steelers 1 4 0 0.2 99 114 -15 1 - 2 - 0
3 Cincinnati Bengals Bengals 0 5 0 0.0 80 136 -56 0 - 2 - 0

    Road        Div  Pct       Conf  Pct.1   Non-Conf Strk     Last 5  

0 2 - 1 - 0 1 - 1 - 0 0.5 2 - 2 - 0 0.500 1 - 0 - 0 1W 3 - 2 - 0
1 2 - 0 - 0 1 - 0 - 0 1.0 2 - 1 - 0 0.667 0 - 1 - 0 1W 2 - 2 - 0
2 0 - 2 - 0 1 - 1 - 0 0.5 1 - 2 - 0 0.333 0 - 2 - 0 1L 1 - 4 - 0
3 0 - 3 - 0 0 - 1 - 0 0.0 0 - 2 - 0 0.000 0 - 3 - 0 5L 0 - 5 - 0

There is the scrape sensor https://www.home-assistant.io/integrations/scrape/ as well as the command line sensor if your script works out.

PS I think the actual question on how to get the data you want is a bit out of scope in this forum!

ok, ill keep hacking away. thanks for giving me direction!