如何为python更改此公式？编码新手，不胜感激

Question

您好，我目前已从网上获得此代码。当前，它获取以下代码的网址和公司信息。有什么方法可以更新此代码，以代替网址和公司信息来显示行业和行业信息？新手编码，所以将不胜感激：）

下面的代码：

import bs4 as BeautifulSoup 
from bs4 import SoupStrainer
import re
import urllib.request 
import pandas as pd
import requests

symbols = ['SBUX', 'MET', 'CAT', 'JNJ', 'ORCL']


headers = {'User-agent': 'Mozilla/5.0'}

mySymbols = {}

for s in symbols:
    vals = {}
    url = ("https://finance.yahoo.com/quote/{}/profile?p={}".format(s,s))
    webpage = requests.get(url, headers=headers)
    soup = BeautifulSoup.BeautifulSoup(webpage.content) 

    title = soup.find("title")
    tmp = title.get_text()
    rxTitle = re.compile(r'\(.*$')
    coName = rxTitle.sub("", tmp)


for link in soup.find_all('a', href=True):
        try:
            if link['target'] and "" == link['title']:
                m = re.search('yahoo', link['href'], flags=re.IGNORECASE)
                if None == m:

                    url = link['href']
                    webpage = requests.get(url, headers=headers)
                    soup = BeautifulSoup.BeautifulSoup(webpage.content) 

                    vals = {"company":coName, "url":link['href']} 
                    print (s, vals)
                    mySymbols[s] = vals
        except:
            pass

Answer 1

[查看这些页面之一，我看到该部门处于'class'='Fw（600）'和'data-reactid'= 21的行业，而data-reactid = 25的行业，所以您可以使用] >

sector = soup.find('span', {'class':'Fw(600)','data-reactid': '21'})
print(sector.next)
industry = soup.find('span', {'class':'Fw(600)','data-reactid': '25'})
print(industry.next)
sector.next在范围内获取内容，而不是返回整个内容。

寻找“部门”和“行业”跨度并返回后续跨度的更好方法在下面进行了完整编码：

import bs4 as BeautifulSoup
import requests

def get_tags(url):
    webpage = requests.get(url, headers=headers)
    soup = BeautifulSoup.BeautifulSoup(webpage.content)
    title = soup.find("title")
    results = {}
    tmp = title.get_text()
    results['title'] = tmp
    spans = soup.findAll('span')
    for i in range(len(spans)):
        if spans[i] and spans[i].text == 'Sector':
            sector = spans[i+1].text
            results['Sector'] = sector
        if spans[i] and spans[i].text == 'Industry':
            industry = spans[i+1].text
            results['Industry'] = industry
    return results

headers = {'User-agent': 'Mozilla/5.0'}
symbols = ['SBUX', 'MET', 'CAT', 'JNJ', 'ORCL']
for s in symbols:
    url = ("https://finance.yahoo.com/quote/{}/profile?p={}".format(s,s))
    results = get_tags(url)
    print(results)