How to extract tabular data from html?

Question

Python

I am learning to write parsers. Now my task is to parse tabular data from the site https://coinmarketcap.com/ , where I directly need data from the table of cryptocurrencies, their cost, etc., which are in the tbody block.
But when using Beautiful Soup I try to get into the table, into the tbody object, it gives out "AttributeError: 'NoneType' object has no attribute 'find_all'". At the same time, he sees the thead object perfectly and there are no errors. How can I still ensure that the program sees this block of the site?
I have already tried all possible permutations of the code, some replacements in the elements, but nothing helps, and the program still does not see the body of the table.

import requests
from bs4 import BeautifulSoup
import csv

def get_html(url):
    r = requests.get(url)
    return r.text

def write_csv(data):
    with open('cmc.csv', 'a') as f:
        writer = csv.writer(f)
        pass

def get_page_data(html): 
    soup = BeautifulSoup(html, 'lxml')
    trs = soup.find('table').find('tbody').find_all('tr')
    print(len(trs))


def main():
    url = 'https://coinmarketcap.com/'
    get_page_data(get_html(url))

if __name__ == '__main__':
    main()

Answer 1

I riveted on a quick hand. Not the fact that the code is correct, but working:

Old code:

import requests
from bs4 import BeautifulSoup

url = 'https://coinmarketcap.com/'
r = requests.get(url)

soup = BeautifulSoup(r.text, 'lxml')
all = soup.find_all('',class_='cmc-table-row')

for x in all:
  rank = x.find('td',class_='cmc-table__cell--sort-by__rank').text
  name = x.find('td',class_='cmc-table__cell--sort-by__name').text
  market_cap = x.find('td',class_='cmc-table__cell--sort-by__market-cap').text
  price = x.find('td',class_='cmc-table__cell--sort-by__price').text
  volume = x.find('td',class_='cmc-table__cell--sort-by__volume-24-h').text
  circulating_supply = x.find('td',class_='cmc-table__cell--sort-by__circulating-supply').text
  change = x.find('td',class_='cmc-table__cell--sort-by__percent-change-24-h').text
  print(f'{rank} {name} {market_cap} {price} {volume} {circulating_supply} {change}')

UPDATE 10/22/20:

import requests
from bs4 import BeautifulSoup

url = 'https://coinmarketcap.com/'
r = requests.get(url)

soup = BeautifulSoup(r.text, 'lxml')
all = soup.find_all('',class_='cmc-table-row')

for x in all:
  rank = x.find('td',class_='rc-table-cell table-col-rank rc-table-cell-fix-left').text
  name = x.find('a',class_='cmc-link').find('p').text
  market_cap = x.find('td',class_='rc-table-cell font_weight_500___2Lmmi').text
  price = x.find('td',class_='rc-table-cell font_weight_500___2Lmmi').text
  volume = x.find('div',class_='Box-sc-16r8icm-0 sc-1anvaoh-0 gxonsA').a.p.text
  circulating_supply = x.find('p',class_='Text-sc-1eb5slv-0 kqPMfR').text
  # change = x.find('td',class_='cmc-table__cell--sort-by__percent-change-24-h').text
  print(f'{rank} {name} {market_cap} {price} {volume} {circulating_supply}')

Answer 2

pytablereader didn't help?