Python 3.x 如何在html表中进行刮取？

我想从雅虎财经获取文本数据。对于任何一台股票，我都希望能够勉强获得总收入：

soup.find('span', string='Total Revenue').find_next().text

关于上一个示例，请参见欧莱雅页面。关联的目标代码是：

                         <div class="rw-expnded" data-reactid="44" data-test="fin-row">
                            <div class="D(tbr) fi-row Bgc($hoverBgColor):h" data-reactid="45">
                               <div class="D(tbc) Ta(start) Pend(15px)--mv2 Pend(10px) Bxz(bb) Py(8px) Bdends(s) Bdbs(s) Bdstarts(s) Bdstartw(1px) Bdbw(1px) Bdendw(1px) Bdc($seperatorColor) Pos(st) Start(0) Bgc($lv2BgColor) fi-row:h_Bgc($hoverBgColor) Pstart(15px)--mv2 Pstart(10px)" data-reactid="46">
                                  <div class="D(ib) Va(m) Ell Mt(-3px) W(215px)--mv2 W(200px)" data-reactid="47" title="Total Revenue"><span class="Va(m)" data-reactid="48">Total Revenue</span></div>
                                  <div class="W(3px) Pos(a) Start(100%) T(0) H(100%) Bg($pfColumnFakeShadowGradient) Pe(n) Pend(5px)" data-reactid="49"></div>
                               </div>
                               <div class="D(tbc) Ta(c) Pstart(6px) Pend(4px) Bxz(bb) Py(8px) BdB Bdc($seperatorColor) Miw(100px) Miw(156px)--pnclg Bgc($lv1BgColor) fi-row:h_Bgc($hoverBgColor)" data-reactid="50" data-test="fin-col"><span data-reactid="51">29,873,600</span></div>
                               <div class="D(tbc) Ta(c) Pstart(6px) Pend(4px) Bxz(bb) Py(8px) BdB Bdc($seperatorColor) Miw(100px) Miw(156px)--pnclg" data-reactid="52" data-test="fin-col"><span data-reactid="53">29,873,600</span></div>
                               <div class="D(tbc) Ta(c) Pstart(6px) Pend(4px) Bxz(bb) Py(8px) BdB Bdc($seperatorColor) Miw(100px) Miw(156px)--pnclg Bgc($lv1BgColor) fi-row:h_Bgc($hoverBgColor)" data-reactid="54" data-test="fin-col"><span data-reactid="55">26,937,400</span></div>
                               <div class="D(tbc) Ta(c) Pstart(6px) Pend(4px) Bxz(bb) Py(8px) BdB Bdc($seperatorColor) Miw(100px) Miw(156px)--pnclg" data-reactid="56" data-test="fin-col"><span data-reactid="57">26,023,700</span></div>
                               <div class="D(tbc) Ta(c) Pstart(6px) Pend(4px) Bxz(bb) Py(8px) BdB Bdc($seperatorColor) Miw(100px) Miw(156px)--pnclg Pend(10px) Bgc($lv1BgColor) fi-row:h_Bgc($hoverBgColor)" data-reactid="58" data-test="fin-col"><span data-reactid="59">25,837,100</span></div>
                            </div>
                            <div class="D(b)" data-reactid="60"></div>
                         </div>

然后我尝试在总收入之后获取项目：

soup.find('span', string='Total Revenue').find_next().text

但它返回

'

---

如果有一个更简单的方法，比如说如果有一个API，请毫不犹豫地告诉我。我尝试了yfinance，但它对非美国股票的财务报表不起作用。

你只是得到了下一个

div

。您必须获得下一个

span

。将标记的名称作为参数

使用以下命令：

soup.find('span', string='Total Revenue').find_next('span').text

代码

---

您没有指定要查找下一个的正确标记

#This will not run on online IDE 
import requests 
from bs4 import BeautifulSoup 

ticker = 'OR.SA'
URL = "https://finance.yahoo.com/quote/OR.PA/financials?p={ticker}"
r = requests.get(URL) 

soup = BeautifulSoup(r.content, 'lxml')

total_rev_tag = soup.find('div', {'title':"Total Revenue"}).parent.next_sibling
total_rev_txt_1 = total_rev_tag.find('span').text
total_rev_txt_2 = total_rev_tag.find_next().text
print('total_rev_txt_1',total_rev_txt_1)
print('total_rev_txt_2',total_rev_txt_2)

total_rev_txt_3 = soup.find('span', string='Total Revenue').find_next('span').text
print('total_rev_txt_3',total_rev_txt_3)

输出：

total_rev_txt_1 29,873,600
total_rev_txt_2 29,873,600
total_rev_txt_3 29,873,600

你试过了吗？安装后，使用以下内容获取总收入（以及所有损益表项目）：Ticker（'OR.PA'）。损益表（）

#This will not run on online IDE 
import requests 
from bs4 import BeautifulSoup 

ticker = 'OR.SA'
URL = "https://finance.yahoo.com/quote/OR.PA/financials?p={ticker}"
r = requests.get(URL) 

soup = BeautifulSoup(r.content, 'lxml')

total_rev_tag = soup.find('div', {'title':"Total Revenue"}).parent.next_sibling
total_rev_txt_1 = total_rev_tag.find('span').text
total_rev_txt_2 = total_rev_tag.find_next().text
print('total_rev_txt_1',total_rev_txt_1)
print('total_rev_txt_2',total_rev_txt_2)

total_rev_txt_3 = soup.find('span', string='Total Revenue').find_next('span').text
print('total_rev_txt_3',total_rev_txt_3)

total_rev_txt_1 29,873,600
total_rev_txt_2 29,873,600
total_rev_txt_3 29,873,600