Web Scraping Table with class from CoinMarketCap w - beautifulsoup

Question

I'm trying to scrape an entire table of data from:
https://coinmarketcap.com/currencies/ethereum/historical-data/
I'm trying to extract the table:
<table class="h7vnx2-2 jNaLNi cmc-table ">
with
table = soup.find('table', {"class":"h7nvx2-2 jNaLNi cmc-table"})
and it returns: None
here's the full code:
import requests
from bs4 import BeautifulSoup
def main():
URL = "https://coinmarketcap.com/currencies/ethereum/historical-data/"
page = requests.get(URL)
soup = BeautifulSoup(page.content, "html.parser")
table = soup.find('table', {"class":"h7nvx2-2 jNaLNi cmc-table"})
print(table)
if __name__ == "__main__":
main()

Answer 1

import pandas as pd
from urllib.parse import urlencode
def main(url):
params = {
'id': '1027',
'convertId': '2781',
'timeStart': '1623283200',
'timeEnd': '1628553600'
}
df = pd.DataFrame(pd.read_json(
url + urlencode(params))['data']['quotes'])
df = pd.DataFrame.from_records(df['quote'])
print(df)
main('https://api.coinmarketcap.com/data-api/v3/cryptocurrency/historical?')

Answer 2

As stated, the data is dynamically rendered. Go to the api to get the data directly:
import requests
import pandas as pd
url ='https://api.coinmarketcap.com/data-api/v3/cryptocurrency/historical'
payload = {
'id':'1027',
'convertId':'2781',
'timeStart':'1623283200',
'timeEnd':'1628553600' }
jsonData = requests.get(url, params=payload).json()
df = pd.json_normalize(jsonData, record_path=['data','quotes'])
#rows = [i['quote'] for i in jsonData['data']['quotes']]
#df = pd.DataFrame(rows)
Output:
print(df)
Output from spyder call 'get_namespace_view':
open high ... marketCap timestamp
0 2611.142652 2619.957793 ... 2.872870e+11 2021-06-10T23:59:59.999Z
1 2472.858836 2495.414705 ... 2.736314e+11 2021-06-11T23:59:59.999Z
2 2354.752218 2447.227868 ... 2.758389e+11 2021-06-12T23:59:59.999Z
3 2372.690096 2547.367910 ... 2.916739e+11 2021-06-13T23:59:59.999Z
4 2508.770462 2606.432929 ... 2.951126e+11 2021-06-14T23:59:59.999Z
.. ... ... ... ... ...
56 2725.669632 2840.430748 ... 3.307572e+11 2021-08-05T23:59:59.999Z
57 2827.503486 2944.903352 ... 3.382378e+11 2021-08-06T23:59:59.999Z
58 2891.707469 3170.229727 ... 3.694372e+11 2021-08-07T23:59:59.999Z
59 3161.232779 3184.603971 ... 3.526859e+11 2021-08-08T23:59:59.999Z
60 3012.885711 3185.701187 ... 3.707654e+11 2021-08-09T23:59:59.999Z
[61 rows x 7 columns]