利用requests、re爬取这个网站https://yuedu.163.com/book/rank/sell/week/p/s20所有数据的代码

以下是利用requests和re爬取这个网站https://yuedu.163.com/book/rank/sell/week/p/s20所有数据的代码：

import requests
import re

url = 'https://yuedu.163.com/book/rank/sell/week/p/s20'
response = requests.get(url).text

pattern = re.compile('<tr>.*?<td class="ranknum">(.*?)</td>.*?<td class="title"><a href="(.*?)".*?>(.*?)</a></td>.*?<td class="author">(.*?)</td>.*?</tr>', re.S)
results = re.findall(pattern, response)

for result in results:
    rank_num = result[0]
    book_url = result[1]
    book_name = result[2]
    author = result[3]
    print(rank_num, book_url, book_name, author)

运行代码后，即可输出该网站所有图书的排名、链接、书名和作者。

相关问题

爬取这个网站https://yuedu.163.com/book/rank/sell/week/p1/s20所有数据的代码

以下是使用 Python 3 爬取 https://yuedu.163.com/book/rank/sell/week/p1/s20 所有数据的代码：

import requests
from bs4 import BeautifulSoup

url = 'https://yuedu.163.com/book/rank/sell/week/p1/s20'
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
books = soup.find_all('div', {'class': 'book-info'})

for book in books:
    title = book.find('h3').text.strip()
    author = book.find('p', {'class': 'author'}).text.strip()
    category = book.find('p', {'class': 'category'}).text.strip()
    description = book.find('p', {'class': 'desc'}).text.strip()
    print(title)
    print(author)
    print(category)
    print(description)
    print('-' * 50)

该代码通过 requests 库向网站发送 GET 请求，获取网站内容。然后使用 BeautifulSoup 库解析网站内容，获取所有书籍的信息。最后，将每本书籍的标题、作者、分类和描述打印出来。

注意，该代码只能爬取第一页的数据。如果需要爬取更多页面的数据，可以修改 URL 中的页码参数。