来自网站的 Python 抓取表？

Question

我想抓取 treasury.gov 网站上提供的所有国债 yield 。

https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yieldAll

我将如何获取这些信息？我假设我必须使用 BeautifulSoup 或 Selenium 或类似的东西(最好是 BS4)。我最终想将这些数据放入 Pandas DataFrame 中。

Answer 1

这是一种使用 requests 和 beautifulsoup 获取表中数据的方法

import pandas as pd
import requests
from bs4 import BeautifulSoup

url = 'https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yieldAll'

r = requests.get(url)
html = r.text

soup = BeautifulSoup(html)
table = soup.find('table', {"class": "t-chart"})
rows = table.find_all('tr')
data = []
for row in rows[1:]:
    cols = row.find_all('td')
    cols = [ele.text.strip() for ele in cols]
    data.append([ele for ele in cols if ele])

result = pd.DataFrame(data, columns=['Date', '1 Mo', '2 Mo', '3 Mo', '6 Mo', '1 Yr', '2 Yr', '3 Yr', '5 Yr', '7 Yr', '10 Yr', '20 Yr', '30 Yr'])

print(result)