Scrape HTML Table in Python

I am trying to scrape the SEC report page to pull some basic info on a number of tickers.

Here is an example URL for Apple - https://sec.report/CIK/0000320193

Within the page is a 'Company Details' table which includes basic info. I am essentially trying to just scrape the IRS Number, State of Incorp and Address.

I am cool with just scraping this chart and saving it into a PD Df. I am very new to web scraping so looking for some tips to make this work! Below is my code, but I don't know where to go once I extract the panel body. Thanks guys!

session = requests.Session()
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.76 Safari/537.36'}
page = requests.get('https://sec.report/CIK/0000051143.html', headers = headers)
page.content

from bs4 import BeautifulSoup
soup = BeautifulSoup(page.content, 'html.parser')

soup.find_all(class_='panel-body')