我正在嘗試使用 Python 中的 BeautifulSoup 庫(kù)提取數(shù)據(jù)。我用拉鏈和湯來(lái)提取。我的 html 數(shù)據(jù)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>在這里，我想在單獨(dú)的變量中獲得年份、公里、門(mén)、顏色。但是當(dāng)我運(yùn)行我的代碼時(shí)，它會(huì)聚在一起。我的代碼：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)輸出 ：Year: 2016Kilometers: 81,000Doors: 2 doorColor: White我如何將年份、公里、門(mén)、顏色存儲(chǔ)在單獨(dú)的變量中？
2 回答
翻過(guò)高山走不出你
TA貢獻(xiàn)1875條經(jīng)驗(yàn) 獲得超3個(gè)贊
你可以試試：
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)
心有法竹
TA貢獻(xiàn)1866條經(jīng)驗(yàn) 獲得超5個(gè)贊
找到包含文本的元素li，然后找到下一個(gè)強(qiáng)標(biāo)簽。聲明空列表并追加。
代碼。
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)
輸出：列表
['2016'] ['81,000'] ['2 door'] ['White']
添加回答
舉報(bào)
0/150
提交
取消