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import re
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import csv
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import requests
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from lxml import etree
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from bs4 import BeautifulSoup
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url = 'https://music.163.com/discover/toplist?id=3778678'
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headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 "
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"(KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36 Edg/125.0.0.0"}
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down_url = 'https://music.163.com/song/media/outer/url?id='
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# 发送请求
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response = requests.get(url, headers=headers)
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# 获取数据
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html_data = response.text
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# 解析数据
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soup = BeautifulSoup(html_data, 'lxml')
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# 创建一个空的列表来存储爬取的数据
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song_data = []
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# 爬取歌名、ID和url
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song_list = re.findall('<li><a href="/song\?id=(.*?)">(.*?)</a></li>', html_data)
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for song in song_list:
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song_id = song[0]
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song_name = song[1]
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song_url = f'https://music.163.com/song?id={song_id}'
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# 爬取歌词信息
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lyrics_url = f'https://music.163.com/api/song/lyric?id={song_id}&lv=-1&kv=-1&tv=-1'
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lyrics_response = requests.get(lyrics_url, headers=headers)
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lyrics_data = lyrics_response.json()
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if 'lrc' in lyrics_data and 'lyric' in lyrics_data['lrc']:
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# 提取歌词的文本部分，忽略时间戳
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lyrics = re.sub(r'\[\d+:\d+\.\d+\]', '', lyrics_data['lrc']['lyric'])
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else:
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lyrics = '暂无歌词'
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print(f'歌名：{song_name}\nID：{song_id}\nURL：{song_url}\n歌词：{lyrics}')
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# 将爬取的数据添加到列表中
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song_data.append([song_name, song_id, song_url, lyrics])
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# 将数据保存到CSV文件中
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with open('网易云音乐热歌榜.csv', 'w', newline='', encoding='utf-8') as csvfile:
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writer = csv.writer(csvfile)
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writer.writerow(['歌名', 'ID', 'URL', '歌词'])
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writer.writerows(song_data)
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