[已解决]简单的登录界

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

def get_data_of_music_list_detail_page():
    df = pd.read_csv('music_data/new/music_list.csv', header=None, names=["music_list_url"])

    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (HTML, like Gecko) '
                      'Chrome/63.0.3239.132 Safari/537.36 '
    }

    print("正在获取歌单详情页的信息...")

    for i in range(len(df)):
        time.sleep(2)
        url = 'https://music.163.com' + df["music_list_url"][i]
        response = requests.get(url=url, headers=headers)
        html = response.text
        soup = BeautifulSoup(html, 'html.parser')

        # 解析数据并执行相关操作

        # 输出歌单详情页信息

    print("已获取歌单详情页的信息，保存至 music_data/music_detail.csv")

get_data_of_music_list_detail_page()

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


def get_data_of_music_list_detail_page():
    df = pd.read_csv('music_data/new/music_list.csv', header=None, names=['url'], sep=',')
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (HTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36'
    }

    print("正在获取歌单详情页的信息...")
    for i, row in df.iterrows():
        url = 'https://music.163.com' + row['url']
        response = requests.get(url=url, headers=headers)
        html = response.text
        soup = BeautifulSoup(html, 'html.parser')

        # 获取歌单标题
        title = soup.select('h2')[0].get_text().replace(',', '，')

        # 获取标签
        tags = []
        tags_message = soup.select('.u-tag i')
        for p in tags_message:
            tags.append(p.get_text())

        # 对标签进行格式化
        if len(tags) > 1:
            tag = '-'.join(tags)
        else:
            tag = tags[0] if tags else ''

        # 获取歌单介绍
        desc_element = soup.select('#album-desc-more')
        text = desc_element[0].get_text().replace('\n', '').replace(',', '，') if desc_element else '无'

        # 获取歌单收藏量
        collection = soup.select('#content-operation i')[0].get_text().replace('(', '').replace(')', '')

        # 歌单播放量
        play = soup.select('.s-fc6')[0].get_text()

        # 歌单内歌曲数
        songs = soup.select('#playlist-track-count')[0].get_text()

        # 歌单评论数
        comments = soup.select('#cnt_comment_count')[0].get_text()

        # 输出歌单详情页信息
        print(title, tag, text, collection, play, songs, comments)

        # 将详情页信息写入CSV文件中
        with open('music_data/new/music_detail.csv', 'a+', encoding='utf-8-sig') as f:
            f.write(f"{title},{tag},{text},{collection},{play},{songs},{comments}\n")

        # 获取歌单内歌曲名称
        li = soup.select('.f-hide li a')
        with open('music_data/new/music_name.csv', 'a+', encoding='utf-8-sig') as f:
            for j in li:
                f.write(j.get_text() + '\n')

    print("已获取歌单详情页的信息，保存至 music_data/music_name.csv")

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

def get_data_of_music_list_detail_page():
    df = pd.read_csv('music_data/new/music_list.csv', header=None, names=['url'], encoding='utf-8')
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) '
                      'Chrome/63.0.3239.132 Safari/537.36'
    }
    
    print("正在获取歌单详情页的信息...")
    
    for url in df['url']:
        time.sleep(2)
        url = 'https://music.163.com' + url
        response = requests.get(url=url, headers=headers)
        html = response.text
        soup = BeautifulSoup(html, 'html.parser')
        
        # 获取歌单标题
        title = soup.select_one('h2.f-ff2').get_text().replace(',', '，')

        # 获取标签
        tags = []
        tags_message = soup.select('.u-tag i')

        for tag in tags_message:
            tags.append(tag.get_text())

        # 对标签进行格式化
        tag_str = '-'.join(tags)

        # 获取歌单介绍
        desc_elem = soup.select_one('#album-desc-more')
        text = desc_elem.get_text().strip().replace('\n', '').replace(',', '，') if desc_elem else '无'

        # 获取歌单收藏量
        collection = soup.select_one('.u-btni.u-btni-fav i').next_sibling.strip().replace('(', '').replace(')', '')

        # 歌单播放量
        play = soup.select_one('.u-btni.u-btni-play i').next_sibling.strip()

        # 歌单内歌曲数
        songs = soup.select_one('.sub.s-fc3').get_text().split('：')[1].strip()

        # 歌单评论数
        comments = soup.select_one('.sub.s-fc3.j-cmt').get_text().split('：')[1].strip()
        
        # 输出歌单详情页信息
        print(title, tag_str, text, collection, play, songs, comments)
        
        # 将详情页信息写入CSV文件中
        with open('music_data/new/music_detail.csv', 'a+', encoding='utf-8-sig') as f:
            f.write(f"{title},{tag_str},{text},{collection},{play},{songs},{comments}\n")

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

def get_data_of_music_list_detail_page():
    df = pd.read_csv('music_data/music_list.csv', header=None, names=['url'], encoding='utf-8')
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) '
                      'Chrome/63.0.3239.132 Safari/537.36'
    }

    print("正在获取歌单详情页的信息...")

    for _, row in df.iterrows():
        url = 'https://y.qq.com/n/ryqq/index.html' + row['url']
        response = requests.get(url=url, headers=headers)
        html = response.text
        soup = BeautifulSoup(html, 'html.parser')

        # 获取歌单标题
        title_elem = soup.select_one('h2.f-ff2')
        title = title_elem.get_text().replace(',', '，') if title_elem else ''

        # 获取标签
        tags_elem = soup.select('.u-tag i')
        tags = [tag.get_text() for tag in tags_elem]

        # 对标签进行格式化
        tag_str = '-'.join(tags)

        # 获取歌单介绍
        desc_elem = soup.select_one('#album-desc-more')
        text = desc_elem.get_text().strip().replace('\n', '').replace(',', '，') if desc_elem else '无'

        # 获取歌单收藏量
        collection_elem = soup.select_one('.u-btni.u-btni-fav i')
        collection = collection_elem.next_sibling.strip().replace('(', '').replace(')', '') if collection_elem else '0'

        # 歌单播放量
        play_elem = soup.select_one('.u-btni.u-btni-play i')
        play = play_elem.next_sibling.strip() if play_elem else '0'

        # 歌单内歌曲数
        songs_elem = soup.select_one('.sub.s-fc3')
        songs = songs_elem.get_text().split('：')[1].strip() if songs_elem else '0'

        # 歌单评论数
        comments_elem = soup.select_one('.sub.s-fc3.j-cmt')
        comments = comments_elem.get_text().split('：')[1].strip() if comments_elem else '0'

        # 输出歌单详情页信息
        print(title, tag_str, text, collection, play, songs, comments)

        # 将详情页信息写入CSV文件中
        with open('music_data/music_detail.csv', 'a+', encoding='utf-8-sig') as f:
            f.write(f"{title},{tag_str},{text},{collection},{play},{songs},{comments}\n")