基于Python爬取51CTO博客页面信息过程解析

本攻略将教你如何使用Python爬取51CTO博客页面信息，并提供2个示例。

1. 爬取页面

使用Python的requests库发送GET请求以获取51CTO博客页面信息。

import requests

url = 'https://blog.51cto.com/'
response = requests.get(url)

print(response.text)

2. 解析HTML

使用Python的BeautifulSoup库解析HTML页面，获取想要的信息。

import requests
from bs4 import BeautifulSoup

url = 'https://blog.51cto.com/'
response = requests.get(url)

soup = BeautifulSoup(response.text, 'html.parser')
articles = soup.find_all('div', class_='art_item')

for article in articles:
    title = article.find('h3').text
    author = article.find('span', class_='gj').text
    date = article.find('span', class_='time').text
    print('Title:', title)
    print('Author:', author)
    print('Date:', date)

示例1：爬取51CTO博客首页文章信息

import requests
from bs4 import BeautifulSoup

url = 'https://blog.51cto.com/'
response = requests.get(url)

soup = BeautifulSoup(response.text, 'html.parser')
articles = soup.find_all('div', class_='art_item')

for article in articles:
    title = article.find('h3').text
    author = article.find('span', class_='gj').text
    date = article.find('span', class_='time').text
    link = article.find('a')['href']
    print('Title:', title)
    print('Author:', author)
    print('Date:', date)
    print('Link:', link)
    print('-' * 50)

该示例将输出51CTO博客首页文章的标题、作者、日期和链接。

示例2：爬取51CTO博客搜索结果页面信息

import requests
from bs4 import BeautifulSoup

search_term = 'Python'
url = 'https://blog.51cto.com/search?q=' + search_term
response = requests.get(url)

soup = BeautifulSoup(response.text, 'html.parser')
articles = soup.find_all('div', class_='art_item')

for article in articles:
    title = article.find('h3').text
    author = article.find('span', class_='gj').text
    date = article.find('span', class_='time').text
    link = article.find('a')['href']
    print('Title:', title)
    print('Author:', author)
    print('Date:', date)
    print('Link:', link)
    print('-' * 50)

该示例将输出以关键字Python为搜索条件的文章的标题、作者、日期和链接。

注：在爬取51CTO博客页面信息时，请遵守网站的爬虫规范，不对个人非法使用产生的问题负责。