獲取具體值 BeautifulSoup（解析）

Question

我正在嘗試從網站中提取信息。

使用 Python ( BeautifulSoup )

我想提取以下數據（只是數字）

每股收益（基本）

來自： https://www.marketwatch.com/investing/stock/aapl/financials/income/quarter

從xml ：

我構建了代碼：

import pandas as pd
from bs4 import BeautifulSoup
import urllib.request as ur
import request 

url_is = 'https://www.marketwatch.com/investing/stock/aapl/financials/income/quarter'


read_data = ur.urlopen(url_is).read()
soup_is=BeautifulSoup(read_data, 'lxml')
cells = soup_is.findAll('tr', {'class': 'mainRow'} )
for cell in cells:
  print(cell.text)

但我不會提取EPS 的數字（基本）

有沒有辦法只提取數據並按列排序？

Answer 1

嘗試按照css選擇器檢查 td 標簽是否包含EPS (Basic)文本。

import urllib.request as ur

url_is = 'https://www.marketwatch.com/investing/stock/aapl/financials/income/quarter'
read_data = ur.urlopen(url_is).read()
soup_is=BeautifulSoup(read_data, 'lxml')
row = soup_is.select_one('tr.mainRow>td.rowTitle:contains("EPS (Basic)")')
print([cell.text for cell in row.parent.select('td') if cell.text!=''])

Output ：

[' EPS (Basic)', '2.47', '2.20', '3.05', '5.04', '2.58']

---

在 DF 中打印

import pandas as pd
from bs4 import BeautifulSoup
import urllib.request as ur

url_is = 'https://www.marketwatch.com/investing/stock/aapl/financials/income/quarter'
read_data = ur.urlopen(url_is).read()
soup_is=BeautifulSoup(read_data, 'lxml')
row = soup_is.select_one('tr.mainRow>td.rowTitle:contains("EPS (Basic)")')
data=[cell.text for cell in row.parent.select('td') if cell.text!='']
df=pd.DataFrame(data)
print(df.T)

Output ：

              0     1     2     3     4     5
0   EPS (Basic)  2.47  2.20  3.05  5.04  2.58