BeautifulSoup：抓取 CSV 网址列表

Question

我一直在尝试从不同的 url 下载数据，然后将其保存到 csv 文件。

想法是从以下位置提取突出显示的数据：https://www.marketwatch.com/investing/stock/MMM/financials/cash-flow

到目前为止，我构建了以下代码：

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

url_is = 'https://www.marketwatch.com/investing/stock/MMM/financials/cash-flow'
read_data = ur.urlopen(url_is).read()
soup_is=BeautifulSoup(read_data, 'lxml')
row = soup_is.select_one('tr.mainRow>td.rowTitle:contains("Cash Dividends Paid - Total")')
data=[cell.text for cell in row.parent.select('td') if cell.text!='']
df=pd.DataFrame(data)
print(df.T)

我得到的输出是：

到目前为止一切都很好。

现在我的想法是从多个 URL 中提取特定的类，从网站中保留相同的 headers 并将其导出到 .csv.

标签和类保持不变

示例网址：

https://www.marketwatch.com/investing/stock/MMM/financials/cash-flow
https://www.marketwatch.com/investing/stock/aapl/financials/cash-flow

代码（我想尝试使用 2 列：2015 年和 2016 年 ）

作为期望的输出，我想要这样的东西：

我写了下面的代码，但给我带来了问题，欢迎任何帮助或建议：

import pandas as pd
from bs4 import BeautifulSoup
import urllib.request as ur
import numpy as np
import requests


links = ['https://www.marketwatch.com/investing/stock/aapl/financials/cash-flow', 'https://www.marketwatch.com/investing/stock/MMM/financials/cash-flow']

container = pd.DataFrame(columns=['Name', 'Name2'])
pos=0
for l in links:
    read_data = ur.urlopen(l).read()
    soup_is=BeautifulSoup(read_data, 'lxml')
    row = soup_is.select_one('tr.mainRow>td.rowTitle:contains("Cash Dividends Paid - Total")')
    results=[cell.text for cell in row.parent.select('td') if cell.text!='']
    records = []

    for result in results:
      records = []
      Name = result.find('span', attrs={'itemprop':'2015'}).text if result.find('span', attrs={'itemprop':'2015'}) is not None else ''

      Name2 = result.find('span', attrs={'itemprop':'2016'}).text if result.find('span', attrs={'itemprop':'2016'}) is not None else ''

      records.append(Name)
      records.append(Name2)

      container.loc[pos] = records
      pos+=1

Answer 1

import requests
import pandas as pd

urls = ['https://www.marketwatch.com/investing/stock/aapl/financials/cash-flow',
        'https://www.marketwatch.com/investing/stock/MMM/financials/cash-flow']


def main(urls):
    with requests.Session() as req:
        goal = []
        for url in urls:
            r = req.get(url)
            df = pd.read_html(
                r.content, match="Cash Dividends Paid - Total")[0].iloc[[0], 0:3]
            goal.append(df)
        new = pd.concat(goal)
        print(new)


main(urls)

BeautifulSoup：抓取 CSV 网址列表

BeautifulSoup: Scraping CSV list of URLs

python

beautifulsoup

web-scraping

python-3.x

export-to-csv