Python我如何在BeautifulSoup中提取具有相同类名的数据

Question

我正在尝试使用 python 中的 BeautifulSoup 库提取数据。 我用拉链和汤来提取。

我的 html 数据如下所示：

<li>

    <ul class="features">

        <li>Year: <strong>2016</strong></li>

        <li>Kilometers: <strong>81,000</strong></li>

    </ul>
    <ul class="features">

        <li>Doors: <strong>2 door</strong></li>

        <li>Color: <strong>White</strong></li>

    </ul>
    <ul class="features">

    </ul>

</li>

在这里，我想在单独的变量中获得年份、公里数、门数、颜色。 但是当我运行我的代码时，它会聚在一起。

我的代码：

for title, price, date, features  in zip(soup.select('.listing-item .title'),
                            soup.select('.listing-item .price'),
                            soup.select('.listing-item .date'),
                            soup.select('.listing-item .features')):


    title = title.get_text().strip()
    price = price.get_text().strip()
    date = date.get_text().strip()
    features = features.get_text().strip()

    print(features)

输出 ：

Year: 2016
Kilometers: 81,000
Doors: 2 door
Color: White

我如何将年份、公里数、门、颜色存储在单独的变量中？

Answer 1

你可以试试：

from bs4 import BeautifulSoup as bs
from io import StringIO

data = """<li>
    <ul class="features">
        <li>Year: <strong>2016</strong></li>
        <li>Kilometers: <strong>81,000</strong></li>
    </ul>
    <ul class="features">
        <li>Doors: <strong>2 door</strong></li>
        <li>Color: <strong>White</strong></li>
    </ul>
    <ul class="features">
    </ul>
</li>"""

soup = bs(StringIO(data))
Year, Km, Doors, Color = list(map(lambda x: x.text.split(':')[1].strip(), soup.select('.features > li')))
print(Year, Km, Doors, Color)

Answer 2

找到包含文本的元素li ，然后找到下一个强标签。 声明空列表并追加。

代码。

from bs4 import BeautifulSoup

html='''<li>

    <ul class="features">

        <li>Year: <strong>2016</strong></li>

        <li>Kilometers: <strong>81,000</strong></li>

    </ul>
    <ul class="features">

        <li>Doors: <strong>2 door</strong></li>

        <li>Color: <strong>White</strong></li>

    </ul>
    <ul class="features">

    </ul>

</li>
'''
soup=BeautifulSoup(html,'html.parser')
Year=[]
KiloMeter=[]
Doors=[]
Color=[]
for year,km,dor,colr in zip(soup.select('ul.features li:contains("Year:")'),soup.select('ul.features li:contains("Kilometers:")'),soup.select('ul.features li:contains("Doors:")'),soup.select('ul.features li:contains("Color:")')):
    Year.append(year.find_next('strong').text)
    KiloMeter.append(km.find_next('strong').text)
    Doors.append(dor.find_next('strong').text)
    Color.append(colr.find_next('strong').text)

print(Year,KiloMeter,Doors,Color)

输出：列表

['2016'] ['81,000'] ['2 door'] ['White']