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我有以下来自此 website 的单选按钮列表：
@H_874_4@<div class="map-filters">
<div class="map-filter-radio radio">
<label>
<input type="radio" name="adoptionStatus" alt="IFRS Standards are required for use by all or most domestic publicly accountable entitIEs." title="IFRS Standards are required for use by all or most domestic publicly accountable entitIEs." value="97f9b22998d546f7856bb1b4f0586521">
IFRS Standards are required for domestic public companIEs
</label>
</div>
<div class="map-filter-radio radio">
<label>
<input type="radio" name="adoptionStatus" alt="IFRS Standards are permitted,but not required,for use by at least some domestic publicly accountable entitIEs,including Listed companIEs and financial institutions." title="IFRS Standards are permitted,including Listed companIEs and financial institutions." value="cae64c6b731d47cca7565b2a74d11d53">
IFRS Standards are permitted but not required for domestic public companIEs
</label>
</div>
</div>
我想获取标签标签中的文本和输入类型单选的值，如下所示：
@H_874_4@Key Value
97f9b22998d546f7856bb1b4f0586521 IFRS Standards are required for domestic public companIEs
cae64c6b731d47cca7565b2a74d11d53 IFRS Standards are permitted but not required for domestic public companIEs
这是我的工作：
@H_874_4@session = HTMLSession()
resp = session.get("https://www.ifrs.org/use-around-the-world/use-of-ifrs-standards-by-jurisDiction/")
resp.HTMl.render()
soup = BeautifulSoup(resp.HTMl.HTML,"lxml")
option_Tags = soup.find("input",{"name":"adoptionStatus"})
filters = [tag.text for tag in option_Tags]
print(filters)
试试这个：
@H_874_4@import requests
from bs4 import BeautifulSoup
url = "https://www.ifrs.org/use-around-the-world/use-of-ifrs-standards-by-jurisDiction/"
page_html = requests.get(url).text
soup = BeautifulSoup(page_html,"lxml").find_all("input",{"type": "radio"})
buttons = [[button["alt"],button["value"]] for button in soup]
for button in buttons:
text,value = button
print(f"Text: {text}\nValue: {value}")
输出：
@H_874_4@Text: IFRS Standards are required for use by all or most domestic publicly accountable entities.
Value: 97f9b22998d546f7856bb1b4f0586521
Text: IFRS Standards are permitted,but not required,for use by at least some domestic publicly accountable entities,including listed companies and financial institutions.
Value: cae64c6b731d47cca7565b2a74d11d53
Text: IFRS Standards are required or permitted for use by foreign securities issuers.
Value: 3adc18f07ff64c908a6d835e08344531
Text: In most cases an SME may also choose full IFRS Standards. In some cases,an SME may also choose local standards for SMEs.
Value: 665a976cd22f4b2db99c57e2ab98e633
Text: The body with authority to adopt financial reporTing standards is actively studying whether to adopt the <em>IFRS for SMEs</em> Standard.
Value: ff784361818644798ea899f81b8b6d61
,
您可以通过访问 key HTML 属性来获取 value。并使用 next_sibling 方法访问 value。
from bs4 import BeautifulSoup
from requests_html import HTMLSession
session = HTMLSession()
resp = session.get(
"https://www.ifrs.org/use-around-the-world/use-of-ifrs-standards-by-jurisDiction/"
)
resp.html.render()
soup = BeautifulSoup(resp.html.html,"lxml")
fmt_String = "{:<40} {:<20}"
print(fmt_String.format("Key","Value"))
for tag in soup.find_all("input",{"name": "adoptionStatus"}):
print(fmt_String.format(tag["value"],tag.next_sibling.Strip()))
输出：
@H_874_4@Key Value
97f9b22998d546f7856bb1b4f0586521 IFRS Standards are required for domestic public companies
cae64c6b731d47cca7565b2a74d11d53 IFRS Standards are permitted but not required for domestic public companies
3adc18f07ff64c908a6d835e08344531 IFRS Standards are required or permitted for lisTings by foreign companies
665a976cd22f4b2db99c57e2ab98e633 The IFRS for SMEs Standard is required or permitted
ff784361818644798ea899f81b8b6d61 The IFRS for SMEs Standard is under consideration
,
@H_874_4@value_tags = soup.find("div",class_="map-filter-radio radio").text.Strip()
key_tag = option_tags.attrs["value"]
这是第一个元素
,如果没有全文版本，而不是更短的版本，您可以使用css和类选择器进行更快的匹配
@H_874_4@import requests
from bs4 import BeautifulSoup as bs
soup = bs(requests.get('https://www.ifrs.org/use-around-the-world/use-of-ifrs-standards-by-jurisDiction/').text,'lxml')
items = {I['id']:i.text for i in soup.SELEct('.status-text')}
print(items)
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