我正在使用 BeautifulSoup 4 和 Python 2.7 。我想从网站中提取某些元素(数量,请参见下面的示例)。出于某种原因, lxml 解析器不允许我从页面中提取所有所需的元素。它只打印前三个元素。我正在尝试使用 html5lib 解析器来查看是否可以提取所有这些解析器。
该页面包含多个商品及其价格和数量。包含每个项目所需信息的代码的一部分如下所示:
<td class="size-price last first" colspan="4">
<span>453 grams </span>
<span> <span class="strike">$619.06</span> <span class="price">$523.91</span>
</span>
</td>
让我们考虑以下三种情况:
案例1 - 数据:
#! /usr/bin/python
from bs4 import BeautifulSoup
data = """
<td class="size-price last first" colspan="4">
<span>453 grams </span>
<span> <span class="strike">$619.06</span> <span class="price">$523.91</span>
</span>
</td>"""
soup = BeautifulSoup(data)
print soup.td.span.text
打印:
453 grams
案例2 - LXML:
#! /usr/bin/python
from bs4 import BeautifulSoup
from urllib import urlopen
webpage = urlopen('The URL goes here')
soup=BeautifulSoup(webpage, "lxml")
print soup.find('td', {'class': 'size-price'}).span.text
打印:
453 grams
案例3 - HTML5LIB:
#! /usr/bin/python
from bs4 import BeautifulSoup
from urllib import urlopen
webpage = urlopen('The URL goes here')
soup=BeautifulSoup(webpage, "html5lib")
print soup.find('td', {'class': 'size-price'}).span.text
我收到以下错误:
Traceback (most recent call last):
File "C:\Users\Dom\Python-Code\src\Testing-Code.py", line 6, in <module>
print soup.find('td', {'class': 'size-price'}).span.text
AttributeError: 'NoneType' object has no attribute 'span'
为了使用html5lib解析器提取我想要的信息,我如何调整代码?如果我只是在使用html5lib后在控制台中打印汤,我可以看到所有想要的信息,所以我想它可以让我得到我想要的东西。对于lxml解析器不是这样的,所以我也很好奇lxml解析器似乎使用lxml解析器提取所有数量的事实,如果我使用:
print [td.span.text for td in soup.find_all('td', {'class': 'size-price'})]
答案 0 :(得分:1)
from lxml import etree
html = 'your html'
tree = etree.HTML(html)
tds = tree.xpath('.//td[@class="size-price last first"]')
for td in tds:
price = td.xpath('.//span[@class="price"]')[0].text
strike = td.xpath('.//span[@class="strike"]')[0].text
spans = td.xpath('.//span')
quantity = [i.text for i in spans if 'grams' in i.text][0].strip(' ')
答案 1 :(得分:0)
尝试以下方法:
from bs4 import BeautifulSoup
data = """
<td class="size-price last first" colspan="4">
<span>453 grams </span>
<span> <span class="strike">$619.06</span> <span
class="price">$523.91</span>
</span>
</td>"""
soup = BeautifulSoup(data)
text = soup.get_text(strip=True)
print text