import requestsfrom lxml import etreeimport pandas as pdurl = httpsearchdangdangcomkey=C9F1BEADCDF8C2E7&act=inputheaders = User-AgentMozilla50 Linux; Android 60; Nexus 5 BuildMRA58N AppleWebKi

接下来可以使用循环来获取一页中的所有图书信息。首先，我们可以将获取每本图书的代码封装成一个函数，然后在循环中调用该函数来获取每本图书的信息。具体代码如下所示：

import requests
from lxml import etree
import pandas as pd

def get_book_info(book):
    name = book.xpath('.//p[@class="name"]/a/@title')[0]
    author = book.xpath('.//p[@class="search_book_author"]/span/a/@title')[0]
    publisher = book.xpath('.//p[@class="search_book_author"]/span[@class="search_book_publish"]/a/@title')[0]
    publish_date = book.xpath('.//p[@class="search_book_author"]/span[@class="search_book_publish"]/text()')[0]
    price = book.xpath('.//span[@class="search_now_price"]/text()')[0]
    rating = book.xpath('.//span[@class="search_star_black"]/span/@style')[0]
    rating = int("".join(filter(str.isdigit, rating))) * 0.05
    comment_num = book.xpath('.//a[@class="search_comment_num"]/text()')[0]
    detail = book.xpath('.//p[@class="detail"]/text()')[0]
    
    return {
        "书名": name,
        "作者": author,
        "出版社": publisher,
        "出版日期": publish_date,
        "价格": price,
        "评分": rating,
        "评论数": comment_num,
        "详情": detail
    }

url = "http://search.dangdang.com/?key=%C9%F1%BE%AD%CD%F8%C2%E7&act=input"
headers = {
    "User-Agent":'Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Mobile Safari/537.36 Edg/114.0.1823.43'
}
r = requests.get(url, headers=headers)
html = r.text

html = etree.HTML(html)
books = html.xpath('//li[@ddt-pit="1" and @class="line1"]')

book_info_list = []
for book in books:
    book_info = get_book_info(book)
    book_info_list.append(book_info)

df = pd.DataFrame(book_info_list)
print(df)

这样，我们就可以得到一页中所有图书的信息，并将其存储在一个DataFrame中。你可以根据需要对DataFrame进行进一步的处理和分析