完整代码 

import pandas as pd
import requests
from fake_useragent import UserAgent
from lxml import etree

df_movies = pd.DataFrame(columns=['排名', '片名', '主演', '上映时间', '评分'])

base_url = 'https://maoyan.com/board/4?offset={}'

headers = {
    'Referer': 'https://www.maoyan.com/board/4?requestCode=ed21bcc89b9563c594bb6ac5ef545ea9unret&offset=0',
    'Cookie': '__mta=146207627.1686117814768.1686117814768.1686117893405.2; uuid_n_v=v1; '
              'uuid=08C5265004F911EEB6A41DA4355E52ADF4145C449C124065972A22585426BE66; '
              '_csrf=c148b36a5e0a6001e7ecf1be0781da0d361ad0685e85dfd07aa720ef75e793ff; '
              '_lxsdk_cuid=18894741140c8-06f50454e820c5-26031d51-144000-18894741140c8; '
              '_lxsdk=08C5265004F911EEB6A41DA4355E52ADF4145C449C124065972A22585426BE66; '
              'Hm_lvt_703e94591e87be68cc8da0da7cbd0be2=1686117815; '
              'Hm_lpvt_703e94591e87be68cc8da0da7cbd0be2=1686117893; _lxsdk_s=18894741140-900-e76-d5e%7C%7C4',
    'User-Agent': UserAgent().random
}

for page in range(10):
    url = base_url.format(str(page * 10))
    response = requests.get(url, headers=headers)
    html = response.text
    xp = etree.HTML(html)
    movies = xp.xpath('//*[@id="app"]/div/div/div[1]')

    for movie in movies:
        for num in range(10):
            ranking = movie.xpath('//*[@id="app"]/div/div/div[1]/dl/dd/i/text()')[num]
            name = movie.xpath('//*[@id="app"]/div/div/div[1]/dl/dd/div/div/div[1]/p[1]/a/text()')[num]
            actors = movie.xpath('//*[@id="app"]/div/div/div[1]/dl/dd/div/div/div[1]/p[2]/text()')[num].strip().replace(
                "主演：", "")
            release_time = movie.xpath('//*[@id="app"]/div/div/div[1]/dl/dd/div/div/div[1]/p[3]/text()')[num].replace(
                "上映时间：",
                "")
            score1 = movie.xpath('//*[@id="app"]/div/div/div[1]/dl/dd/div/div/div[2]/p/i[1]/text()')[num]
            score2 = movie.xpath('//*[@id="app"]/div/div/div[1]/dl/dd/div/div/div[2]/p/i[2]/text()')[num]
            score = score1 + score2
            df_movies = df_movies._append(
                {'排名': ranking, '片名': name, '主演': actors, '上映时间': release_time, '评分': score},
                ignore_index=True)

df_movies.to_csv("MaoYanTop100.csv", index=False)

表格化的CSV文件内容