用美丽的汤解析。查找字符串（数字）span标签外

我已经成功与beautifulsoup来分析以下数据：用美丽的汤解析。查找字符串（数字）span标签外

<span class="price-currency">$</span>200.00</span>, <span class="j-original-price"> 
<span class="price-currency">$</span>1,000.00</span>, <span class="j-original-price"> 
<span class="price-currency">$</span>1,300.00</span>, <span class="j-original-price"> 
<span class="price-currency">$</span>550.00 <span class="price-type price-type--negotiable">Negotiable</span></span>, <span class="j-original-price"> 
<span class="price-currency">$</span>450.00 <span class="price-type price-type--negotiable">Negotiable</span></span>, <span class="j-original-price"> 
<span class="price-currency">$</span>50.00 <span class="price-type price-type--negotiable">Negotiable</span></span>, <span class="j-original-price">

现在我需要在每一行的中间来解析号码。我认为它会使用nextSibling，但是失败了。我还注意到，一些数字后面跟着近距离标签，一些数字后面跟着开阔的范围标签。

我如何用美丽的脸颊分析这些数字？这是我得到了上面的数据：

span = soup("span", { "class" : "price-currency" })

感谢

来源

2017-05-05 Frank Harb

如果数据完全如您所示，那么得到.next_sibling适用于我：

In [1]: from bs4 import BeautifulSoup 

In [2]: data = """ 
    ...: <span class="price-currency">$</span>200.00</span>, <span class="j-original-price"> 
    ...: <span class="price-currency">$</span>1,000.00</span>, <span class="j-original-price"> 
    ...: <span class="price-currency">$</span>1,300.00</span>, <span class="j-original-price"> 
    ...: <span class="price-currency">$</span>550.00 <span class="price-type price-type--negotiable">N 
    ...: egotiable</span></span>, <span class="j-original-price"> 
    ...: <span class="price-currency">$</span>450.00 <span class="price-type price-type--negotiable">N 
    ...: egotiable</span></span>, <span class="j-original-price"> 
    ...: <span class="price-currency">$</span>50.00 <span class="price-type price-type--negotiable">Ne 
    ...: gotiable</span></span>, <span class="j-original-price"> 
    ...: """ 

In [3]: soup = BeautifulSoup(data, "html.parser") 

In [4]: for item in soup("span", {"class": "price-currency"}): 
    ...:  print(item.next_sibling) 
    ...:  
200.00 
1,000.00 
1,300.00 
550.00 
450.00 
50.00

来源

2017-05-05 08:11:17 alecxe

这对我也有效，谢谢！我愚蠢地没有迭代，并且对使用next_sibling有点困惑。 –

尝试通过您的数据循环，并从soup

[s.extract() for s in soup("span", {"class":"price-currency"})]

提取.price-currency标记，然后从获取所需的货币值：

list_price = soup("span", {"class":"j-original-price"}) 
print [pr.text for pr in list_price]

来源

2017-05-05 07:25:35 JRodDynamite

用美丽的汤解析。查找字符串（数字）span标签外

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