一、爬取后txt文件保存

需要先pip install requests和BeautifulSoup库

python">import requests
from bs4 import BeautifulSoup# 定义要爬取的新闻网站URL
url = 'https://www.chinadaily.com.cn/'  # China Daily 网站# 发送请求获取页面内容
response = requests.get(url)# 检查请求是否成功
if response.status_code == 200:print('Successfully retrieved the website.')# 解析网页内容soup = BeautifulSoup(response.text, 'html.parser')# 打开一个文件以写入爬取的数据with open('news_data.txt', 'w', encoding='utf-8') as f:# 选择网站上合适的新闻标签for item in soup.find_all('a', href=True):  # 这里使用<a>标签，因为它包含链接title = item.get_text().strip()  # 获取标题link = item['href']  # 获取链接# 过滤掉无效的标题或链接if title and 'http' in link:# 将标题和链接写入文件f.write(f'链接标题: {title}\n链接地址: {link}\n\n')print("Data saved to 'news_data.txt'.")
else:print(f'Failed to retrieve the website. Status code: {response.status_code}')

二、 爬取后csv文件保存

python">import requests
from bs4 import BeautifulSoup
import csv# 定义要爬取的新闻网站URL
url = 'https://www.chinadaily.com.cn/'  # 示例网站# 发送请求获取页面内容
response = requests.get(url)# 手动设置编码为utf-8（如果页面是使用utf-8编码）
response.encoding = 'utf-8'  # 确保使用正确的编码格式# 检查请求是否成功
if response.status_code == 200:print('Successfully retrieved the website.')# 解析网页内容soup = BeautifulSoup(response.text, 'html.parser')# 打开一个CSV文件以写入爬取的数据with open('news_data.csv', 'w', newline='', encoding='utf-8') as f:writer = csv.writer(f)writer.writerow(['Title', 'Link'])  # 写入标题行# 查找所有包含链接的<a>标签for item in soup.find_all('a', href=True):title = item.get_text().strip()  # 获取标题link = item['href']  # 获取链接# 过滤掉无效的标题或链接if title and link:writer.writerow([title, link])print("Data saved to 'news_data.csv'.")
else:print(f'Failed to retrieve the website. Status code: {response.status_code}')