您可以使用extract() 在获取文本之前删除不需要的标签。
但它会保留所有 '\n' 和 spaces,因此您需要进行一些工作才能删除它们。
data = '''<span>
I Like
<span class='unwanted'> to punch </span>
your face
<span>'''
from bs4 import BeautifulSoup as BS
soup = BS(data, 'html.parser')
external_span = soup.find('span')
print("1 HTML:", external_span)
print("1 TEXT:", external_span.text.strip())
unwanted = external_span.find('span')
unwanted.extract()
print("2 HTML:", external_span)
print("2 TEXT:", external_span.text.strip())
结果
1 HTML: <span>
I Like
<span class="unwanted"> to punch </span>
your face
<span></span></span>
1 TEXT: I Like
to punch
your face
2 HTML: <span>
I Like
your face
<span></span></span>
2 TEXT: I Like
your face
您可以跳过外部跨度内的每个 Tag 对象并仅保留 NavigableString 对象(它是 HTML 中的纯文本)。
data = '''<span>
I Like
<span class='unwanted'> to punch </span>
your face
<span>'''
from bs4 import BeautifulSoup as BS
import bs4
soup = BS(data, 'html.parser')
external_span = soup.find('span')
text = []
for x in external_span:
if isinstance(x, bs4.element.NavigableString):
text.append(x.strip())
print(" ".join(text))
结果
I Like your face