Placing BeautifulSoup data into a Pandas dataframe - coming up blank - python-3.x

Question

Goal: I'd like to create a data frame after scraping data from a website and narrowing it down to the table of interest (I am looking to get average meat consumption per capita for all countries in the world)
Problem: I have the table of interest but I am having trouble placing it into a data frame. However, everything I try ends up with a blank data frame.
Output:
<table class="wikitable sortable">
<caption>Countries by meat consumption per capita
</caption>
<tbody><tr>
<th>Country</th>
<th>kg/person (2002)<sup class="reference" id="cite_ref-9">[9]</sup><sup class="reference" id="cite_ref-11">[note 1]</sup></th>
<th>kg/person (2009)<sup class="reference" id="cite_ref-FAO2013_10-1">[10]</sup></th>
<th>kg/person (2017)<sup class="reference" id="cite_ref-12">[11]</sup>
</th></tr>
<tr>
<td><span class="flagicon"><img alt="" class="thumbborder" data-file-height="700" data-file-width="980" decoding="async" height="15" src="//upload.wikimedia.org/wikipedia/commons/thumb/3/36/Flag_of_Albania.svg/21px-Flag_of_Albania.svg.png" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/3/36/Flag_of_Albania.svg/32px-Flag_of_Albania.svg.png 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/3/36/Flag_of_Albania.svg/42px-Flag_of_Albania.svg.png 2x" width="21"/> </span>Albania</td>
<td>38.2</td>
<td></td>
<td>
</td></tr>
<tr>
<td><span class="flagicon"><img alt="" class="thumbborder" data-file-height="600" data-file-width="900" decoding="async" height="15" src="//upload.wikimedia.org/wikipedia/commons/thumb/7/77/Flag_of_Algeria.svg/23px-Flag_of_Algeria.svg.png" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/7/77/Flag_of_Algeria.svg/35px-Flag_of_Algeria.svg.png 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/7/77/Flag_of_Algeria.svg/45px-Flag_of_Algeria.svg.png 2x" width="23"/> </span>Algeria</td>
<td>18.3</td>
<td>19.5</td>
<td>17.33
</td></tr>
<tr>
<td><span class="flagicon"><img alt="" class="thumbborder" data-file-height="500" data-file-width="1000" decoding="async" height="12" src="//upload.wikimedia.org/wikipedia/commons/thumb/8/87/Flag_of_American_Samoa.svg/23px-Flag_of_American_Samoa.svg.png" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/8/87/Flag_of_American_Samoa.svg/35px-Flag_of_American_Samoa.svg.png 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/8/87/Flag_of_American_Samoa.svg/46px-Flag_of_American_Samoa.svg.png 2x" width="23"/> </span>American Samoa</td>
<td>24.9</td>
<td>26.8</td>
<td>
</td></tr>
<tr>
I am looking to pull the following column titles for a chart on meat consumption per capita for all of the countries in the world: Country, kg/person (2002), kg/person (2009), kg/person (2017)
My Code:
A=[]
B=[]
C=[]
for row in table_meat1.findAll('tr'):
cells=row.findAll('td')
if len(cells)==3:
A.append(cells[0].find(text=True))
B.append(cells[1].find(text=True))
C.append(cells[2].find(text=True))
Need help placing the data into a data frame!

Answer 1

The answer to this question would be:
Use Selenium with chrome driver, to do so you can use :
pip install selenium
Then download the appropriate chrome driver from here considering the os I checked version 86.0.4240.22 it worked fine.
unzip and put it somewhere like: /Users/admin/software/chromedriver
Then run this code.
from selenium import webdriver
URL = 'https://www.amazon.com/Metagenics-Ultra-Potent-C-1000-Count/dp/B004GLEUHI/ref=sr_1_2_sspa?crid=11YWA9XFVALBP&dchild=1&keywords=metagenics&qid=1603050330&sprefix=metageni%2Caps%2C224&sr=8-2-spons&psc=1&spLa=ZW5jcnlwdGVkUXVhbGlmaWVyPUFRRDdMVU5GNDFKQ1QmZW5jcnlwdGVkSWQ9QTA1NTc3NzAxSFYxV0k5MlFGUUZTJmVuY3J5cHRlZEFkSWQ9QTA2MzM0MzAyWDBDSjNCNlFGRVJNJndpZGdldE5hbWU9c3BfYXRmJmFjdGlvbj1jbGlja1JlZGlyZWN0JmRvTm90TG9nQ2xpY2s9dHJ1ZQ=='
options = webdriver.ChromeOptions()
options.add_argument('headless')
driver = webdriver.Chrome("/Users/admin/software/chromedriver",chrome_options=options)
driver.implicitly_wait(5)
driver.get(URL)
content = driver.page_source;
soup = BeautifulSoup(content)
price=soup.find('table', class_='wikitable sortable')
print(price)
But be aware that web scraping is forbidden on some websites and you have to use their provided web API.