豆瓣电影信息获取问题,

Question

AttributeError: 'NoneType' object has no attribute 'text'

这个结构对的啊

import re
import requests
import pandas as pd
from bs4 import BeautifulSoup

headers = {
    'Connection': 'keep-alive',
    'Pragma': 'no-cache',
    'Cache-Control': 'no-cache',
    'Upgrade-Insecure-Requests': '1',
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36',
    'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
    'Sec-Fetch-Site': 'none',
    'Sec-Fetch-Mode': 'navigate',
    'Sec-Fetch-User': '?1',
    'Sec-Fetch-Dest': 'document',
    'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',
    'Cookie': 'bid=oHaXaKMVDtY; _pk_id.100001.4cf6=7fcf7b749a8a2302.1687010568.; __utmz=30149280.1687010568.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); __utmz=223695111.1687010568.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); _pk_ses.100001.4cf6=1; ap_v=0,6.0; __utma=30149280.46899879.1687010568.1687010568.1689418642.2; __utmb=30149280.0.10.1689418642; __utmc=30149280; __utma=223695111.1949229722.1687010568.1687010568.1689418642.2; __utmb=223695111.0.10.1689418642; __utmc=223695111; __yadk_uid=J6ZZOHkGKtng89taYk0m1tllt1OLZNM3; ll="108297"; __gads=ID=1934c56911590f64-220796395ee200a7:T=1689418831:RT=1689418831:S=ALNI_MaVHNkw8Vb74xHmHrw8BKbgu3-48w; __gpi=UID=00000cc28acfb4a6:T=1689418831:RT=1689418831:S=ALNI_MYHRm276jV9_rmxvktjHduLrJdtXA; _vwo_uuid_v2=DD0788C8CBD23E7E324C11971A5ECF412|4057c38db34d5f2733c8ee4dfcd6e8d0',
}

df = pd.DataFrame(columns=['片名',
                           '上映年份',
                           '评分',
                           '评价人数',
                           '导演',
                           '编剧',
                           '主演',
                           '类型',
                           '国家 / 地区',
                           '语言',
                           '时长'])

for i in range(0, 2):
    print(f"正在爬取第{i}页")
    url = 'https://movie.douban.com/top250?start={}&filter='.format(i * 25)
    print(f"第{i}页爬取完成")
    response = requests.get(url=url, headers=headers)
    soup = BeautifulSoup(response.text, "html.parser")
    lists = soup.find_all(attrs={'class': "hd"})
    for list in lists:

        href = list.a['href']
        print(href)
        soup = BeautifulSoup(response.text, "html.parser")
        # 片名
        name = soup.find(attrs={'property': "v:itemreviewed"}).text.split(' ')[0]

        # 上映年份
        year = soup.find(attrs={'class': "year"}).text.replace('() ')
        # 评分
        score = soup.find(attrs={'property': "v:average"}).text
        # 评价人数
        votes = soup.find(attrs={'property': "v:votes"}).text

        infos = soup.find(attrs={'id': "info"}).text.split('n')[1:11]
        # 导演
        director = infos[0].split(': ')[1]
        # 编剧
        screenwriter = infos[1].split(': ')[1]
        # 主演
        actor = infos[2].split(': ')[1]
        # 类型
        filmtype = infos[3].split(': ')[1]
        # 国家/地区
        area = infos[4].split(': ')[1]
        if '.' in area:
            area = infos[5].split(': ')[1].split('/')[0]
            # 语言
            language = infos[6].split(': ')[1].split('/')[0]
        else:
            area = infos[4].split(': ')[1].split('/')[0]
            language = infos[5].split(': ')[1].split('/')[0]
        if '大陆' in area or '香港' in area or '台湾' in area:
            area = '中国'
        if '戛纳' in area:
            area = '法国'
        # 时长
        timeS0 = soup.find(attrs={'property': "v:runtime"}).text
        times = re.findall('\d+', timeS0)[0]
        data = {
            '片名': name,
            '上映年份': year,
            '评分': score,
            '评价人数': votes,
            '导演': director,
            '编剧': screenwriter,
            '主演': actor,
            '类型': filmtype,
            '国家 / 地区': area,
            '语言': language,
            '时长': times
        }
        print(f'{data["片名"]}采集成功')
        df = df.append([data])

Answer 1

直接找标签，别找属性，这样精准一些