请帮助我...这个数据对我的期中考试很重要

Question

我想对这个网站进行网络抓取https://www.thesoldiersproject.org/which-exo-members-are-in-the-military/以检索成员姓名、入伍日期和退役日期。但是在我编写并运行下面的代码后，它只将标题保存到 csv 文件中。

这些是我的代码

import requests
from bs4 import BeautifulSoup
import pandas as pd

# Define the URL
url = "https://www.thesoldiersproject.org/which-exo-members-are-in-the-military/"

# Send a GET request to the URL
response = requests.get(url)

# Check if the request was successful
if response.status_code == 200:
    # Parse the content with BeautifulSoup
    soup = BeautifulSoup(response.content, 'html.parser')
    
    # Find the relevant section containing the members' information
    content = soup.find('div', class_='entry-content')
    
    # Initialize a list to store the data
    data = []

    # Loop through the paragraphs and extract dates
    paragraphs = content.find_all('p')
    for paragraph in paragraphs:
        text = paragraph.get_text()
        if 'Enlistment date:' in text and 'Discharge date:' in text:
            lines = text.split('\n')
            for line in lines:
                if 'Enlistment date:' in line and 'Discharge date:' in line:
                    parts = line.split(' - ')
                    if len(parts) == 2:
                        name = parts[0].strip()
                        enlistment_date = parts[1].split('Enlistment date: ')[1].split(',')[0].strip()
                        discharge_date = parts[1].split('Discharge date: ')[1].strip()
                        data.append([name, enlistment_date, discharge_date])
    
    # Convert the data into a pandas DataFrame
    df = pd.DataFrame(data, columns=['Name', 'Enlistment Date', 'Discharge Date'])
    
    # Save the DataFrame to a CSV file
    df.to_csv('exo_military_dates.csv', index=False)

else:
    print("Failed to retrieve the webpage. Status code:", response.status_code)

预期输出：存储到csv文件中的数据应包含成员姓名，成员入伍日期和退役日期

Answer 1

我可能会使用正则表达式来解析入伍/退役日期：

import re

import requests
from bs4 import BeautifulSoup

url = "https://www.thesoldiersproject.org/which-exo-members-are-in-the-military/"
soup = BeautifulSoup(requests.get(url).content, "html.parser")


def get_text(title):
    out, p = [], title.find_next_sibling("p")
    while p:
        out.append(p.text)
        p = p.find_next_sibling()
        if not (p and p.name == "p"):
            break
    return " ".join(out)


print(f"{'NAME':<20} {'START':<20} {'END':<20}")
print("-" * 62)
for h3 in soup.find_all(name="h3", string=re.compile(r"^\d+")):
    name = h3.text.split(maxsplit=1)[-1]
    text = get_text(h3)
    m = re.search(
        r"(?:enlisted|enlistment|started|began).*?(\S+ \d+, \d{4})(?:.*(?:discharge|back|finish).*?(\S+ \d+, \d+|\S+ \d{4}))?",
        text,
    )
    start, end = m[1], ("-" if not m[2] else m[2])
    print(f"{name:<20} {start:<20} {end:<20}")

打印：

NAME                 START                END                 
--------------------------------------------------------------
Xiumin               May 7, 2019          December 6, 2020    
D.O                  July 1, 2019         January 25, 2020    
Suho                 May 14, 2020         February 14, 2022   
Chen                 October 26, 2020     April 25, 2022      
Chanyeol             March 29, 2021       September 2022      
Baekhyun             May 6, 2021          February 5, 2023    
Kai                  May 11, 2023         May 11, 2025        
Sehun                December 21, 2023    -