6.14python作业

import requests
import re


headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.146 Safari/537.36'
}
base_url = 'https://movie.douban.com/top250?start={}&filter='

n = 0
for line in range(10):
    url = base_url.format(n)
    print(type(n))
    n += 25
    print(url)

    # 1、往豆瓣TOP250发送请求获取响应数据
    response = requests.get(url, headers=headers)

    # print(response.text)

    # 2、通过正则解析提取数据
    # 电影详情页url、图片链接、电影名称、电影评分、评价人数
    movie_content_list = re.findall(
        # 正则规则
        # '<div class="item">.*?href="(.*?)">.*?src="(.*?)".*?<span class="title">(.*?)</span>.*?<span class="rating_num".*?>(.*?)</span>.*?<span>(.*?)人评价',
        '<div class="item">.*?href="(.*?)">.*?src="(.*?)" class="">.*?<span class="title">(.*?)</span>.*?<div class="bd">.*?导演:(.*?)<br>(.*?)</p>.*?<span class="rating_num".*?>(.*?)</span>.*?<span>(.*?)人评价.*?<span class="inq">(.*?)</span>',

        # 解析文本
        response.text,

        # 匹配模式
        re.S)

    for movie_content in movie_content_list:
        # 解压赋值每一部电影
        detail_url, movie_jpg, name, daoyan, timer,point, num,  desc= movie_content
        data = f'电影名称:{name},   详情页url:{detail_url}, 图片url:{movie_jpg}, 导演: {daoyan} 上映时间: {timer}评分: {point}, 评价人数: {num} 简介:{desc}\n'
        print(data)

        # 3、保存数据，把电影信息写入文件中
        with open('douban.txt', 'a', encoding='utf-8') as f:
            f.write(data)