无法从某些元素中正确解析名称

Question

我在 python 中编写了一个脚本来从某些元素中解析出一些名称。当我执行我的脚本时，它会解析名称，但输出看起来很奇怪。名称的解析方式使其看起来像两个大牌。名称由 br 标签分隔。如何单独获取每个名称？

名称所在的元素：

html_content='''
<div class="second-child"><div class="richText"> <p></p>
<p><strong>D<br></strong>Daiwa House Industry<br>Danske Bank<br>DaVita HealthCare Partners<br>Delphi Automotive<br>Denso<br>Dentsply International<br>Deutsche Boerse<br>Deutsche Post<br>Deutsche Telekom<br>Diageo<br>Dialight<br>Digital Realty Trust<br>Donaldson Company<br>DSM<br>DS Smith </p>
<p><strong>E<br></strong>East Japan Railway Company<br>eBay<br>EDP Renováveis<br>Edwards Lifesciences<br>Elekta<br>EnerNOC<br>Enphase Energy<br>Essilor<br>Etsy<br>Eurazeo<br>European Investment Bank (EIB)<br>Evonik Industries<br>Express Scripts&nbsp;<br><br><strong>F<br></strong>Fielmann<br>First Solar<br>FMO<br>Ford Motor<br>Fresenius Medical Care<br><br></p></div></div>
'''

我为解析名称而编写的脚本：

from bs4 import BeautifulSoup

soup = BeautifulSoup(html_content,"lxml")
for items in soup.select(".second-child"):
    name = ' '.join([item.text for item in items.select("p")])
    print(name)

我得到的输出（部分结果）：

DDaiwa House IndustryDanske BankDaVita HealthCare PartnersDelphi AutomotiveDensoDentsply InternationalDeutsche

我想得到的输出：

DDaiwa House Industry
Danske Bank
DaVita HealthCare Partners
Delphi Automotive
Denso
Dentsply International

仅供参考，当我仔细查看结果时，我会发现每个单独的名称都相互关联，中间没有间隔。

Answer 1

使用item.text 会删除所有标签，您需要将<br> 标签替换为'\n'。使用Ian Mackinnon 提供的问题的答案：Convert </br> to end line

你的脚本应该是：

from bs4 import BeautifulSoup

soup = BeautifulSoup(html_content,"lxml")

for br in soup.find_all("br"):
    br.replace_with("\n")

for items in soup.select(".second-child"):
    name = ' '.join([item.text for item in items.select("p")])
    print(name)

和输出：

 D
Daiwa House Industry
Danske Bank
DaVita HealthCare Partners
Delphi Automotive
Denso
Dentsply International
Deutsche Boerse
Deutsche Post
Deutsche Telekom
Diageo
Dialight
Digital Realty Trust
Donaldson Company
DSM
DS Smith  E
East Japan Railway Company
eBay
EDP Renováveis
Edwards Lifesciences
Elekta
EnerNOC
Enphase Energy
Essilor
Etsy
Eurazeo
European Investment Bank (EIB)
Evonik Industries
Express Scripts 

F
Fielmann
First Solar
FMO
Ford Motor
Fresenius Medical Care

Answer 2

查看以下解决方案，如果需要改进，请告诉我：

for items in soup.select(".second-child"):
    for text_nodes in items.select("p"):
        name = " \n".join([item for item in text_nodes.strings if item])
        print(name)

输出

D 
Daiwa House Industry 
Danske Bank 
DaVita HealthCare Partners 
Delphi Automotive 
Denso 
Dentsply International 
Deutsche Boerse 
Deutsche Post 
Deutsche Telekom 
Diageo 
Dialight 
Digital Realty Trust 
Donaldson Company 
DSM 
DS Smith 
E 
East Japan Railway Company 
eBay 
EDP Renováveis 
Edwards Lifesciences 
Elekta 
EnerNOC 
Enphase Energy 
Essilor 
Etsy 
Eurazeo 
European Investment Bank (EIB) 
Evonik Industries 
Express Scripts  
F 
Fielmann 
First Solar 
FMO 
Ford Motor 
Fresenius Medical Care