如何使用 python 的 beautiful soup 获取标签之间的内容及其以 HTML 结尾的内容？

我有一个 HTML 行，如下所示：

<span class="cd__headline-text">Is this model too thin for Yves Saint Laurent? </span>

我想提取标题，即“这个模型对于 Yves Saint Laurent 来说太薄了吗？”从这个 HTML 行。我怎样才能获得之间的任何内容

<tag> and </tag>.

我对正则表达式不太熟悉。

如果你的元素包含only文本，使用.string属性 http://www.crummy.com/software/BeautifulSoup/bs4/doc/#string:

headline = soup.find(class_='cd__headline-text')
print(headline.string)

如果包含其他标签，您可以获取当前元素中包含的所有文本以及进一步的文本，也可以仅获取当前元素中的特定文本。

The element.get_text()功能 http://www.crummy.com/software/BeautifulSoup/bs4/doc/#get-text将递归并收集元素和子元素中的所有字符串，将它们与您选择的字符串（默认为空字符串）连接起来，并删除或不删除空格。

要仅获取特定字符串，您可以迭代.strings or .stripped_strings发电机 http://www.crummy.com/software/BeautifulSoup/bs4/doc/#strings-and-stripped-strings，或使用元素内容 http://www.crummy.com/software/BeautifulSoup/bs4/doc/#contents-and-children访问所有包含的元素，然后挑选出NavigableString type.

使用您的示例进行演示：

>>> from bs4 import BeautifulSoup
>>> markup = '<span class="cd__headline-text">Is this model too thin for Yves Saint Laurent? </span>'
>>> soup = BeautifulSoup(markup)
>>> headline = soup.find(class_='cd__headline-text')
>>> print headline.string
Is this model too thin for Yves Saint Laurent? 
>>> print list(headline.strings)
[u'Is this model too thin for Yves Saint Laurent? ']
>>> print list(headline.stripped_strings)
[u'Is this model too thin for Yves Saint Laurent?']
>>> print headline.get_text()
Is this model too thin for Yves Saint Laurent? 
>>> print headline.get_text(strip=True)
Is this model too thin for Yves Saint Laurent?

并添加了一个附加元素：

>>> markup = '<span class="cd__headline-text">Is this model <em>too thin</em> for Yves Saint Laurent? </span>'
>>> soup = BeautifulSoup(markup)
>>> headline = soup.find(class_='cd__headline-text')
>>> headline.string is None
True
>>> print list(headline.strings)
[u'Is this model ', u'too thin', u' for Yves Saint Laurent? ']
>>> print list(headline.stripped_strings)
[u'Is this model', u'too thin', u'for Yves Saint Laurent?']
>>> print headline.get_text()
Is this model too thin for Yves Saint Laurent? 
>>> print headline.get_text(' - ', strip=True)
Is this model - too thin - for Yves Saint Laurent?
>>> headline.contents
[u'Is this model ', <em>too thin</em>, u' for Yves Saint Laurent? ']
>>> from bs4 import NavigableString
>>> [el for el in headline.children if isinstance(el, NavigableString)]
[u'Is this model ', u' for Yves Saint Laurent? ']