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2023-12-01

如果仅仅因为想要查找文档中的<a>标签而将整片文档进行解析,实在是浪费内存和时间.最快的方法是从一开始就把<a>标签以外的东西都忽略掉. SoupStrainer 类可以定义文档的某段内容,这样搜索文档时就不必先解析整篇文档,只会解析在 SoupStrainer 中定义过的文档. 创建一个 SoupStrainer 对象并作为 parse_only 参数给 BeautifulSoup 的构造方法即可.

SoupStrainer

SoupStrainer 类接受与典型搜索方法相同的参数：name , attrs , recursive , string , **kwargs 。下面举例说明三种 SoupStrainer 对象：

from bs4 import SoupStrainer

only_a_tags = SoupStrainer("a")

only_tags_with_id_link2 = SoupStrainer(id="link2")

def is_short_string(string):
    return len(string) < 10

only_short_strings = SoupStrainer(string=is_short_string)

再拿“爱丽丝”文档来举例，来看看使用三种 SoupStrainer 对象做参数会有什么不同:

html_doc = """
<html><head><title>The Dormouse's story</title></head>
    <body>
<p><b>The Dormouse's story</b></p>

<p>Once upon a time there were three little sisters; and their names were
<a href="http://example.com/elsie">Elsie</a>,
<a href="http://example.com/lacie">Lacie</a> and
<a href="http://example.com/tillie">Tillie</a>;
and they lived at the bottom of a well.</p>

<p>...</p>
"""

print(BeautifulSoup(html_doc, "html.parser", parse_only=only_a_tags).prettify())
# <a href="http://example.com/elsie">
#  Elsie
# </a>
# <a href="http://example.com/lacie">
#  Lacie
# </a>
# <a href="http://example.com/tillie">
#  Tillie
# </a>

print(BeautifulSoup(html_doc, "html.parser", parse_only=only_tags_with_id_link2).prettify())
# <a href="http://example.com/lacie">
#  Lacie
# </a>

print(BeautifulSoup(html_doc, "html.parser", parse_only=only_short_strings).prettify())
# Elsie
# ,
# Lacie
# and
# Tillie
# ...
#

还可以将 SoupStrainer 作为参数传入搜索文档树中提到的方法.这可能不是个常用用法,所以还是提一下:

soup = BeautifulSoup(html_doc)
soup.find_all(only_short_strings)
# [u'\n\n', u'\n\n', u'Elsie', u',\n', u'Lacie', u' and\n', u'Tillie',
#  u'\n\n', u'...', u'\n']