diff --git a/music.py b/music.py
new file mode 100644
index 0000000..04df920
--- /dev/null
+++ b/music.py
@@ -0,0 +1,50 @@
+import re
+import csv
+import requests
+from lxml import etree
+from bs4 import BeautifulSoup
+
+url = 'https://music.163.com/discover/toplist?id=3778678'
+headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 "
+                         "(KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36 Edg/125.0.0.0"}
+down_url = 'https://music.163.com/song/media/outer/url?id='
+
+# 发送请求
+response = requests.get(url, headers=headers)
+
+# 获取数据
+html_data = response.text
+
+# 解析数据
+soup = BeautifulSoup(html_data, 'lxml')
+
+# 创建一个空的列表来存储爬取的数据
+song_data = []
+
+# 爬取歌名、ID和url
+song_list = re.findall('<li><a href="/song\?id=(.*?)">(.*?)</a></li>', html_data)
+for song in song_list:
+    song_id = song[0]
+    song_name = song[1]
+    song_url = f'https://music.163.com/song?id={song_id}'
+
+    # 爬取歌词信息
+    lyrics_url = f'https://music.163.com/api/song/lyric?id={song_id}&lv=-1&kv=-1&tv=-1'
+    lyrics_response = requests.get(lyrics_url, headers=headers)
+    lyrics_data = lyrics_response.json()
+    if 'lrc' in lyrics_data and 'lyric' in lyrics_data['lrc']:
+        # 提取歌词的文本部分，忽略时间戳
+        lyrics = re.sub(r'\[\d+:\d+\.\d+\]', '', lyrics_data['lrc']['lyric'])
+    else:
+        lyrics = '暂无歌词'
+
+    print(f'歌名：{song_name}\nID：{song_id}\nURL：{song_url}\n歌词：{lyrics}')
+
+    # 将爬取的数据添加到列表中
+    song_data.append([song_name, song_id, song_url, lyrics])
+
+# 将数据保存到CSV文件中
+with open('网易云音乐热歌榜.csv', 'w', newline='', encoding='utf-8') as csvfile:
+    writer = csv.writer(csvfile)
+    writer.writerow(['歌名', 'ID', 'URL', '歌词'])
+    writer.writerows(song_data)