<p>您看到的是<code>None</code>,因为页面使用了大量Javascript,并且动态地更改了标记的类—您在浏览器中看到的类与从<code>requests</code>获得的类不同。因此,字符串<code>'table tableFlex table-striped footable footable-1 breakpoint breakpoint-xs'</code>没有捕获任何内容。您可以尝试此脚本来捕获一些数据(数据表中只有<code><tr></code>标记,因此只选择它们是可以的):</p>
<pre><code>import requests
from bs4 import BeautifulSoup
url = 'https://www.eleconomista.es/indices-mundiales/'
r = requests.get(url)
data = r.text
soup = BeautifulSoup(data, "html5lib")
rows = []
for tr in soup.select('tr'):
row = [td.get_text(strip=True) for td in tr.select('td')]
if row:
rows.append(row)
for row in rows:
print(''.join('{: <20}'.format(d) for d in row))
</code></pre>
<p>印刷品:</p>
<pre><code>IBEX 35 9.170,50 -0,60% -55,20 9.225,70 19/07
BEL 20 3.652,42 +0,88% +31,71 3.620,71 19/07
DAX 12.260,07 +0,26% +32,22 12.227,85 19/07
CAC 40 5.552,34 +0,03% +1,79 5.550,55 19/07
FTSE 100 7.508,70 +0,21% +15,61 7.493,09 19/07
PSI 20 5.202,23 -0,35% -18,36 5.220,59 19/07
EURO STOXX 50® 3.480,18 -0,08% -2,65 3.482,83 19/07
ECO10 125,89 +0,03% +0,04 125,85 19/07
FTSE MIB INDEX 22.209,75 +0,90% +197,99 22.011,76 27/03
DOW JONES 27.154,20 -0,25% -68,77 27.222,97 19/07
NASDAQ 100 7.834,90 -0,88% -69,24 7.904,13 19/07
S P 500 2.976,61 -0,62% -18,50 2.995,11 19/07
NASDAQ COMPOSITE 8.146,49 -0,74% -60,75 8.207,24 19/07
NIKKEI 225 21.456,10 +1,95% +410,38 21.045,72 19/07
IPC MEXICO 41.606,54 -0,03% -11,57 42.551,54 19/07
Merval 40.161,60 -1,45% -591,15 41.451,31 19/07
IPSA 3.625,61 +0,23% +8,35 3.624,20 19/07
LIMA INDICE GENERAL 20.845,29 -0,36% -74,36 20.839,30 19/07
IGBC 13.762,88 -0,21% -29,61 13.792,49 4/06
</code></pre>