├── .gitignore
├── LICENSE
├── README.md
├── api.md
├── main.py
└── src
├── __init__.py
├── album_by_artist.py
├── analyse
├── __init__.py
├── commentCloud.png
├── msyh.ttc
├── music.jpg
└── word_cloud_by_comment.py
├── artists.py
├── comments_by_music.py
├── db.sql
├── lyric_by_music.py
├── music_by_album.py
├── redis_util.py
├── sql.py
└── util
├── __init__.py
├── json_util.py
└── user_agents.py
/.gitignore:
--------------------------------------------------------------------------------
1 | # Byte-compiled / optimized / DLL files
2 | __pycache__/
3 | *.py[cod]
4 | *$py.class
5 |
6 | # C extensions
7 | *.so
8 |
9 | # Distribution / packaging
10 | .Python
11 | build/
12 | develop-eggs/
13 | dist/
14 | downloads/
15 | eggs/
16 | .eggs/
17 | lib/
18 | lib64/
19 | parts/
20 | sdist/
21 | var/
22 | wheels/
23 | *.egg-info/
24 | .installed.cfg
25 | *.egg
26 | MANIFEST
27 |
28 | # PyInstaller
29 | # Usually these files are written by a python script from a template
30 | # before PyInstaller builds the exe, so as to inject date/other infos into it.
31 | *.manifest
32 | *.spec
33 |
34 | # Installer logs
35 | pip-log.txt
36 | pip-delete-this-directory.txt
37 |
38 | # Unit test / coverage reports
39 | htmlcov/
40 | .tox/
41 | .coverage
42 | .coverage.*
43 | .cache
44 | nosetests.xml
45 | coverage.xml
46 | *.cover
47 | .hypothesis/
48 | .pytest_cache/
49 |
50 | # Translations
51 | *.mo
52 | *.pot
53 |
54 | # Django stuff:
55 | *.log
56 | local_settings.py
57 | db.sqlite3
58 |
59 | # Flask stuff:
60 | instance/
61 | .webassets-cache
62 |
63 | # Scrapy stuff:
64 | .scrapy
65 |
66 | # Sphinx documentation
67 | docs/_build/
68 |
69 | # PyBuilder
70 | target/
71 |
72 | # Jupyter Notebook
73 | .ipynb_checkpoints
74 |
75 | # pyenv
76 | .python-version
77 |
78 | # celery beat schedule file
79 | celerybeat-schedule
80 |
81 | # SageMath parsed files
82 | *.sage.py
83 |
84 | # Environments
85 | .env
86 | .venv
87 | env/
88 | venv/
89 | ENV/
90 | env.bak/
91 | venv.bak/
92 |
93 | # Spyder project settings
94 | .spyderproject
95 | .spyproject
96 |
97 | # Rope project settings
98 | .ropeproject
99 |
100 | # mkdocs documentation
101 | /site
102 |
103 | # mypy
104 | .mypy_cache/
105 | /.idea/
106 |
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--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | 
2 |
3 | # 163MusicSpider
4 | 一个获取网易云音乐歌手、专辑、歌曲、评论、歌词等数据的Python爬虫
5 |
6 | 会将获取的数据存储至`mysql`,并通过将url保存至 `redis` 做防重复爬取处理(网易云OS:你不要过来啊.jpg)
7 |
8 | ---
9 | 本爬虫未使用Scrapy框架,适合初学者查看使用
10 |
11 | > 作者也是一名python初学者
12 |
13 |
14 |
15 | 文件信息
16 |
17 | 1. 爬取所有的歌手信息 [artists.py](src/artists.py)
18 | 2. 爬取专辑信息 [album_by_artist.py](src/album_by_artist.py)
19 | 3. 爬取歌曲信息 [music_by_album.py](src/music_by_album.py)
20 |
21 | > 爬的多了可能被禁
22 |
23 | 4. 爬取歌词信息 [lyric_by_music.py](src/lyric_by_music.py)
24 | 5. 爬取评论信息(热评+前1000条) [comments_by_music.py](src/comments_by_music.py)
25 | 6. 建表sql [db.sql](src/db.sql)
26 |
27 | 7. 评论词云分析 [word_cloud_by_comment.py](src/analyse/word_cloud_by_comment.py)
28 |
29 | 8. 评论词云分析结果 [commentCloud.png](src/analyse/commentCloud.png)
30 |
31 | ### 使用方法
32 | * 爬取所有数据
33 | ###### 运行main.py
34 |
35 | * 爬取单独数据
36 | ###### 到src目录下 找到 【[文件信息](#file)】 里的相应文件,解开最后两行的注释,运行
37 |
38 | * 线程数设置
39 | ###### 每个文件都有一个 `pool = ProcessPoolExecutor(5)` 这个数字就是并发线程数,如果设置的过大会引起网易云的发爬虫机制,导致爬取失败
40 |
41 | > *****爬取的时候注意下并发数,给网易云减少些服务器压力*****
42 |
43 | ### 更新计划
44 | 1. 爬取评论信息里的关联评论,能够使评论形成关联的故事
45 | 2. 爬取歌单信息,及歌单里包含的音乐
46 | 3. 形成数据分析报表,如:歌手歌曲排行、热门评论排行、用户评论排行、热门词汇、歌曲/歌手评论排行榜
47 |
48 | ---
49 | ### 参考
50 | [RitterHou/music-163](https://github.com/RitterHou/music-163)
51 |
52 | [python教程](https://www.liaoxuefeng.com/wiki/1016959663602400)
53 |
54 | [Archiewyq/music_163](https://github.com/Archiewyq/music_163)
55 |
56 | #### 感谢以上对本工程的帮助和支持
57 |
58 |
59 | ### 统计信息
60 | > 截止2019-09-11
61 | >> 已爬取33439歌手信息 ,290772专辑信息 , 1802483歌曲信息 ,622398评论信息 ,2W+歌词信息
62 |
63 | #### 更新记录
64 |
65 | | 时间 | 内容 | 备注 |
66 | | ----- | ---- | ---- |
67 | | 2019-08-28 | 增加redis,防重复爬取,增加网易云api文档 | |
68 | | 2019-09-11 | 增加评论词云分析,及60W+评论分析结果 ||
69 | | | | |
--------------------------------------------------------------------------------
/api.md:
--------------------------------------------------------------------------------
1 | ### 内容转自 [Archiewyq/music_163](https://github.com/Archiewyq/music_163)
2 |
3 | > 作者不保证可行性
4 |
5 | 用户信息:
6 | http://music.163.com/api/v1/user/detail/373540275
7 | 373540275为用户id
8 |
9 | 用户歌单列表
10 | http://music.163.com/api/user/playlist/?offset=1&limit=10&uid=373540275
11 | offset为偏移量,limit为每页返回条数,uid为用户id
12 |
13 | 用户关注者列表
14 | http://music.163.com/api/user/getfolloweds/373540275
15 | 373540275为用户id
16 |
17 | 用户动态
18 | http://music.163.com/api/event/get/373540275
19 | 373540275为用户id
20 |
21 | 电台列表
22 | http://music.163.com/api/dj/program/373540275
23 | 373540275为电台主播id
24 |
25 | 歌单详情
26 | http://music.163.com/api/playlist/detail?id=2765813847
27 | 2765813847为歌单id
28 |
29 | 歌词获取
30 | http://music.163.com/api/song/lyric?id=1363686359&lv=1&kv=1&tv=-1
31 | id为歌曲id,tv=-1(不翻译) tv=1(翻译)
32 |
33 | 歌曲评论:
34 | http://music.163.com/api/v1/resource/comments/R_SO_4_26075485?limit=10&offset=100
35 | 26075485为歌曲id,limit为每页评论数,offset为评论数偏移量
36 |
37 | 专辑详情
38 | https://music.163.com/api/album/18903
39 | 18903为专辑id
40 |
41 | 专辑评论:
42 | http://music.163.com/api/v1/resource/comments/R_AL_3_18903
43 | 18903为专辑id
44 |
45 | 搜索
46 | http://music.163.com/api/search/suggest?s=%E7%8E%8B%E8%8F%B2&type=2
47 | s为搜索关键字,type为搜索类型:1(默认,单曲搜索) 10(专辑搜索) 100(歌手搜索) 1000(歌单搜索) 1002(用户搜索) 1004(mv搜索)
48 |
49 | 歌词搜索
50 | http://music.163.com/api/song/media?id=34367845
51 | 34367845为歌曲id
52 |
53 | 歌手mv
54 | https://music.163.com/api/artist/mvs?artistId=6460
55 | artistId为歌手id
56 |
57 | 歌手专辑
58 | https://music.163.com/api/artist/albums/6460
59 | 6460为歌手id
--------------------------------------------------------------------------------
/main.py:
--------------------------------------------------------------------------------
1 | import datetime
2 | import sys
3 | import os
4 |
5 | from src import sql
6 | from src.album_by_artist import albumSpider
7 | from src.artists import artistSpider
8 | from src.comments_by_music import commentSpider
9 | from src.lyric_by_music import lyricSpider
10 | from src.music_by_album import musicSpider
11 |
12 | # 保存日志
13 | class Logger(object):
14 | def __init__(self, filename="Default.log"):
15 | self.terminal = sys.stdout
16 | self.log = open(filename, "a")
17 |
18 | def write(self, message):
19 | self.terminal.write(message)
20 | self.log.write(message)
21 |
22 | def flush(self):
23 | pass
24 |
25 |
26 | if __name__ == '__main__':
27 | path = os.path.abspath(os.path.dirname(__file__))
28 | type = sys.getfilesystemencoding()
29 | sys.stdout = Logger('log.txt')
30 | print("开始爬干净网易云音乐")
31 | startTime = datetime.datetime.now()
32 | print(startTime.strftime('%Y-%m-%d %H:%M:%S'))
33 | # 清空数据库
34 | sql.truncate_all()
35 | print("清空数据库完成")
36 | # 开始执行
37 | artistSpider()
38 | albumSpider()
39 | musicSpider()
40 | lyricSpider()
41 | commentSpider()
42 | endTime = datetime.datetime.now()
43 | print(endTime.strftime('%Y-%m-%d %H:%M:%S'))
44 | print("耗时:", (endTime - startTime).seconds, "秒")
45 |
--------------------------------------------------------------------------------
/src/__init__.py:
--------------------------------------------------------------------------------
1 | """
2 | __init__.py 用于告诉 Python 这个文件夹是一个 Python 的包
3 | """
4 |
--------------------------------------------------------------------------------
/src/album_by_artist.py:
--------------------------------------------------------------------------------
1 | """
2 | 根据上一步获取的歌手的 ID 来用于获取所有的专辑 ID
3 | """
4 | import datetime
5 | import math
6 | import random
7 | import time
8 | from concurrent.futures import ProcessPoolExecutor
9 |
10 | import requests
11 | from bs4 import BeautifulSoup
12 |
13 | from src import sql, redis_util
14 | from src.util.user_agents import agents
15 |
16 |
17 | class Album(object):
18 | headers = {
19 | 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
20 | 'Accept-Encoding': 'gzip, deflate, sdch',
21 | 'Accept-Language': 'zh-CN,zh;q=0.8,en;q=0.6',
22 | 'Cache-Control': 'no-cache',
23 | 'Connection': 'keep-alive',
24 | 'Cookie': '_ntes_nnid=7eced19b27ffae35dad3f8f2bf5885cd,1476521011210; _ntes_nuid=7eced19b27ffae35dad3f8f2bf5885cd; usertrack=c+5+hlgB7TgnsAmACnXtAg==; Province=025; City=025; _ga=GA1.2.1405085820.1476521280; NTES_PASSPORT=6n9ihXhbWKPi8yAqG.i2kETSCRa.ug06Txh8EMrrRsliVQXFV_orx5HffqhQjuGHkNQrLOIRLLotGohL9s10wcYSPiQfI2wiPacKlJ3nYAXgM; P_INFO=hourui93@163.com|1476523293|1|study|11&12|jis&1476511733&mail163#jis&320100#10#0#0|151889&0|g37_client_check&mailsettings&mail163&study&blog|hourui93@163.com; JSESSIONID-WYYY=189f31767098c3bd9d03d9b968c065daf43cbd4c1596732e4dcb471beafe2bf0605b85e969f92600064a977e0b64a24f0af7894ca898b696bd58ad5f39c8fce821ec2f81f826ea967215de4d10469e9bd672e75d25f116a9d309d360582a79620b250625859bc039161c78ab125a1e9bf5d291f6d4e4da30574ccd6bbab70b710e3f358f%3A1476594130342; _iuqxldmzr_=25; __utma=94650624.1038096298.1476521011.1476588849.1476592408.6; __utmb=94650624.11.10.1476592408; __utmc=94650624; __utmz=94650624.1476521011.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none)',
25 | 'DNT': '1',
26 | 'Host': 'music.163.com',
27 | 'Pragma': 'no-cache',
28 | 'Referer': 'http://music.163.com/',
29 | 'Upgrade-Insecure-Requests': '1',
30 | 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.143 Safari/537.36'
31 | }
32 |
33 | def saveAlbums(self, artist_id):
34 | # limit 分页,截止2019-08-26,发现专辑数大于1000的歌手
35 | params = {'id': artist_id, 'limit': '9999'}
36 | # 获取歌手个人主页
37 | agent = random.choice(agents)
38 | self.headers["User-Agent"] = agent
39 | # 去redis验证是否爬取过
40 | url = 'http://music.163.com/artist/album?id=' + str(artist_id)
41 | check = redis_util.checkIfRequest(redis_util.albumPrefix, url)
42 | if (check):
43 | print("url:", url, "has request. pass")
44 | time.sleep(2)
45 | return
46 | r = requests.get('http://music.163.com/artist/album', headers=self.headers, params=params)
47 |
48 | # 网页解析
49 | soup = BeautifulSoup(r.content.decode(), 'html.parser')
50 | # 保存redis去重缓存
51 | redis_util.saveUrl(redis_util.albumPrefix, url)
52 | # 所有图片
53 | imgs = soup.find_all('div', attrs={'class': 'u-cover u-cover-alb3'})
54 | # 专辑信息
55 | albums = soup.find_all('a', attrs={'class': 'tit s-fc0'}) # 获取所有专辑
56 | if len(albums) == 0:
57 | return
58 | for index, album in enumerate(albums):
59 | # 专辑id
60 | album_id = album['href'].replace('/album?id=', '')
61 | # 专辑图片地址
62 | img_url = imgs[index].img.get('src').replace('?param=120y120', '')
63 | try:
64 | sql.insert_album(album_id, artist_id, imgs[index].get('title'), img_url)
65 | except Exception as e:
66 | # 打印错误日志
67 | print(str(album) + ' insert error : ' + str(e))
68 | time.sleep(1)
69 |
70 |
71 | def saveAlbumBatch(index):
72 | my_album = Album()
73 | offset = 1000 * index
74 | artists = sql.get_artist_page(offset, 1000)
75 | print("index:", index, "offset:", offset, "artists :", len(artists), "start")
76 | for i in artists:
77 | try:
78 | my_album.saveAlbums(i['artist_id'])
79 | except Exception as e:
80 | # 打印错误日志
81 | print(str(i), ' internal error : ', str(e))
82 | time.sleep(2)
83 | print("index:", index, "finished")
84 |
85 |
86 | def albumSpider():
87 | print("======= 开始爬 专辑 信息 ===========")
88 | startTime = datetime.datetime.now()
89 | print(startTime.strftime('%Y-%m-%d %H:%M:%S'))
90 | # 所有歌手数量
91 | artists_num = sql.get_all_artist_num()
92 | # 批次
93 | batch = math.ceil(artists_num.get('num') / 1000.0)
94 | # 构建线程池
95 | pool = ProcessPoolExecutor(3)
96 | for index in range(0, batch):
97 | pool.submit(saveAlbumBatch, index)
98 | pool.shutdown(wait=True)
99 | print("======= 结束爬 专辑 信息 ===========")
100 | endTime = datetime.datetime.now()
101 | print(endTime.strftime('%Y-%m-%d %H:%M:%S'))
102 | print("耗时:", (endTime - startTime).seconds, "秒")
103 |
104 | # if __name__ == '__main__':
105 | # albumSpider()
106 |
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/src/analyse/__init__.py:
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https://raw.githubusercontent.com/NacedWang/163MusicSpider/cf8b2fb2d3c2948bc5cd568d2b8a7ebdc1ef715a/src/analyse/__init__.py
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/src/analyse/commentCloud.png:
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https://raw.githubusercontent.com/NacedWang/163MusicSpider/cf8b2fb2d3c2948bc5cd568d2b8a7ebdc1ef715a/src/analyse/commentCloud.png
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/src/analyse/msyh.ttc:
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https://raw.githubusercontent.com/NacedWang/163MusicSpider/cf8b2fb2d3c2948bc5cd568d2b8a7ebdc1ef715a/src/analyse/msyh.ttc
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/src/analyse/music.jpg:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/NacedWang/163MusicSpider/cf8b2fb2d3c2948bc5cd568d2b8a7ebdc1ef715a/src/analyse/music.jpg
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/src/analyse/word_cloud_by_comment.py:
--------------------------------------------------------------------------------
1 | import datetime
2 | import math
3 |
4 | import jieba.analyse
5 | import matplotlib.pyplot as plt
6 | from matplotlib.image import imread
7 | from wordcloud import WordCloud, STOPWORDS
8 |
9 | from src import sql
10 |
11 | if __name__ == '__main__':
12 | print("start analyse comment")
13 | startTime = datetime.datetime.now()
14 | print(startTime.strftime('%Y-%m-%d %H:%M:%S'))
15 | texts = []
16 | # 所有歌手数量
17 | comment_num = sql.get_all_comment_num()
18 | # 批次
19 | batch = math.ceil(comment_num.get('num') / 1000.0)
20 | print("batch:", batch)
21 |
22 | for index in range(0, batch):
23 | offset = 1000 * index
24 | comments = sql.get_comment_page(offset, 1000)
25 | print("index:", index, "offset:", offset, "artists :", len(comments), "start :", comments[0]['comment_id'])
26 | for item in comments:
27 | texts.append(item['content'])
28 | color_mask = imread("music.jpg")
29 | midTime = datetime.datetime.now()
30 | print("获取评论信息完毕,分析start:", midTime.strftime('%Y-%m-%d %H:%M:%S'))
31 | tags = jieba.analyse.extract_tags(str(texts), 1000, withWeight=True)
32 | data = {item[0]: item[1] for item in tags}
33 |
34 | word_cloud = WordCloud(scale=16,
35 | font_path="msyh.ttc",
36 | background_color="white",
37 | max_words=400,
38 | max_font_size=100,
39 | width=1920,
40 | mask=color_mask,
41 | height=1080,
42 | random_state=42).generate_from_frequencies(data)
43 | plt.figure() # 创建一个图形实例
44 | plt.imshow(word_cloud)
45 | plt.axis("off") # 不显示坐标尺寸
46 | plt.savefig('commentCloud.png', dpi=400) # 指定分辨率
47 | # plt.show()
48 |
49 | print("finish analyse comment")
50 | endTime = datetime.datetime.now()
51 | print(endTime.strftime('%Y-%m-%d %H:%M:%S'))
52 | print("耗时:", (endTime - startTime).seconds, "秒")
53 |
--------------------------------------------------------------------------------
/src/artists.py:
--------------------------------------------------------------------------------
1 | """
2 | 获取所有的歌手信息
3 | """
4 | import datetime
5 |
6 | import requests
7 | from bs4 import BeautifulSoup
8 |
9 | from src import sql
10 |
11 | headers = {
12 | 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
13 | 'Accept-Encoding': 'gzip, deflate, br',
14 | 'Accept-Language': 'zh-CN,zh;q=0.8,en;q=0.6',
15 | 'Cache-Control': 'no-cache',
16 | 'Connection': 'keep-alive',
17 | 'Cookie': '_ntes_nnid=8400bf2c060bc31cf9594e45f27a3fec,1563176153301; _ntes_nuid=8400bf2c060bc31cf9594e45f27a3fec; mail_psc_fingerprint=3bb841d2e82c66a598e20c722a2bc7e6; _ga=GA1.2.1695844012.1563176156; hb_MA-BFF5-63705950A31C_source=www.baidu.com; vinfo_n_f_l_n3=83751e6d9da80baf.1.0.1565690525602.0.1565937929199; JSESSIONID-WYYY=G9GF8EdTBb4vKhW07sJl%2FzJ1SngYTglBRTjO7pWuQZWjmsrUoRtEe2oeB7UtNmUsBb%2FeQI3TUZOi9nMwMrvCRkuvXnto7BSelMqYKpBkcb8o2XwvYtH0WfechA2y6lehTIxYrSDXu6mY%5CRxDbsqTXGaKCPDzQsyo2l%2B26c4w3MB0WwJ7%3A1566543736167; _iuqxldmzr_=32; WM_NI=OoTiNDHx4qjSbYmG1PqXdQwej8FpE8h7U6NpcM3jHZDCQ6aI8rzlAViZue3Y9BfwmA7KveDdl0cNeAVoAYihzax6fSnCEvmHwaSDyUKE5YEOpbfQFz4guPGT%2F7J8cWqCR1o%3D; WM_NIKE=9ca17ae2e6ffcda170e2e6eeb6b843b7b5bc8bb663a2928ea2d54e929b9aaab7339af5a6a4e55db6f0a399ec2af0fea7c3b92a8db19c8acd508ca8fc92e959a287a3a8b45cb388acb2f66faae88a91c834ace99bd7cd7ca193fd8bcb52889d9fd7e443fcaeb68dc45eab86bb86b253fb9eaa98f04bf595ba86c770b0f0adafe84b96b18fbaec64babfb8d7e559ae9d8b97f044b5bf9da5fc5f899bfbbac845b4beaab2c572f8b9bbb1c660ede986d9e25db39d9ed2ee37e2a3; WM_TID=lKkihvPjbwBAUFVEBQZ45Y%2FzXbD7xygm',
18 | 'DNT': '1',
19 | 'Host': 'music.163.com',
20 | 'Pragma': 'no-cache',
21 | 'Referer': 'https://music.163.com/',
22 | 'Upgrade-Insecure-Requests': '1',
23 | 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.143 Safari/537.36'
24 | }
25 |
26 |
27 | def save_artist(group_id, initial):
28 | params = {'id': group_id, 'initial': initial}
29 | print("== 爬取数据参数 ==", params)
30 | r = requests.get('https://music.163.com/discover/artist/cat', headers=headers, params=params)
31 | # 网页解析
32 | soup = BeautifulSoup(r.content.decode(), 'html.parser')
33 | # print(soup)
34 | labels = soup.find_all('a', attrs={'class': 'cat-flag'})
35 | hot_artists = soup.find_all('a', attrs={'class': 'msk'})
36 | artists = soup.find_all('a', attrs={'class': 'nm nm-icn f-thide s-fc0'})
37 |
38 | if not group_id:
39 | for label in labels:
40 | try:
41 | group_id = label['data-cat']
42 | if group_id:
43 | labelList.add(group_id)
44 | except KeyError as e:
45 | # error: has not attribute
46 | print(e)
47 | print(labelList)
48 |
49 | for artist in hot_artists:
50 | artist_id = artist['href'].replace('/artist?id=', '').strip()
51 | artist_name = artist['title'].replace('的音乐', '')
52 | try:
53 | sql.insert_artist(artist_id, artist_name)
54 | except Exception as e:
55 | # 打印错误日志
56 | print(e)
57 |
58 | for artist in artists:
59 | artist_id = artist['href'].replace('/artist?id=', '').strip()
60 | artist_name = artist['title'].replace('的音乐', '')
61 | try:
62 | sql.insert_artist(artist_id, artist_name)
63 | except Exception as e:
64 | # 打印错误日志
65 | print(e)
66 |
67 |
68 | labelList = set([])
69 |
70 |
71 | def artistSpider():
72 | print("======= 开始爬 歌手 信息 =======")
73 | startTime = datetime.datetime.now()
74 | print(startTime.strftime('%Y-%m-%d %H:%M:%S'))
75 | save_artist(None, None)
76 | for i in labelList:
77 | for j in range(65, 91):
78 | save_artist(i, j)
79 | print("======= 结束爬 歌手 信息 =======")
80 | endTime = datetime.datetime.now()
81 | print(endTime.strftime('%Y-%m-%d %H:%M:%S'))
82 | print("耗时:", (endTime - startTime).seconds, "秒")
83 |
84 | # if __name__ == '__main__':
85 | # artistSpider()
86 |
--------------------------------------------------------------------------------
/src/comments_by_music.py:
--------------------------------------------------------------------------------
1 | """
2 | 根据歌曲 ID 获得所有的歌曲所对应的热门评论和歌词
3 | """
4 | import datetime
5 | import json
6 | import math
7 | import random
8 | import time
9 | from concurrent.futures.process import ProcessPoolExecutor
10 |
11 | import requests
12 |
13 | from src import sql, redis_util
14 | from src.util.user_agents import agents
15 |
16 |
17 | class Comment(object):
18 | headers = {
19 | 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
20 | 'Accept-Encoding': 'gzip, deflate, sdch',
21 | 'Accept-Language': 'zh-CN,zh;q=0.8,en;q=0.6',
22 | 'Cache-Control': 'no-cache',
23 | 'Connection': 'keep-alive',
24 | 'Cookie': '_ntes_nnid=7eced19b27ffae35dad3f8f2bf5885cd,1476521011210; _ntes_nuid=7eced19b27ffae35dad3f8f2bf5885cd; usertrack=c+5+hlgB7TgnsAmACnXtAg==; Province=025; City=025; _ga=GA1.2.1405085820.1476521280; NTES_PASSPORT=6n9ihXhbWKPi8yAqG.i2kETSCRa.ug06Txh8EMrrRsliVQXFV_orx5HffqhQjuGHkNQrLOIRLLotGohL9s10wcYSPiQfI2wiPacKlJ3nYAXgM; P_INFO=hourui93@163.com|1476523293|1|study|11&12|jis&1476511733&mail163#jis&320100#10#0#0|151889&0|g37_client_check&mailsettings&mail163&study&blog|hourui93@163.com; JSESSIONID-WYYY=189f31767098c3bd9d03d9b968c065daf43cbd4c1596732e4dcb471beafe2bf0605b85e969f92600064a977e0b64a24f0af7894ca898b696bd58ad5f39c8fce821ec2f81f826ea967215de4d10469e9bd672e75d25f116a9d309d360582a79620b250625859bc039161c78ab125a1e9bf5d291f6d4e4da30574ccd6bbab70b710e3f358f%3A1476594130342; _iuqxldmzr_=25; __utma=94650624.1038096298.1476521011.1476588849.1476592408.6; __utmb=94650624.11.10.1476592408; __utmc=94650624; __utmz=94650624.1476521011.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none)',
25 | 'DNT': '1',
26 | 'Host': 'music.163.com',
27 | 'Pragma': 'no-cache',
28 | 'Referer': 'http://music.163.com/',
29 | 'Upgrade-Insecure-Requests': '1',
30 | 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.143 Safari/537.36'
31 | }
32 |
33 | def saveComment(self, music_id):
34 | params = {'limit': 1000, 'offset': 0}
35 | # 获取歌手个人主页
36 | agent = random.choice(agents)
37 | self.headers["User-Agent"] = agent
38 | url = 'http://music.163.com/api/v1/resource/comments/R_SO_4_' + str(music_id)
39 | # 去redis验证是否爬取过
40 | check = redis_util.checkIfRequest(redis_util.commentPrefix, str(music_id))
41 | if (check):
42 | print("url:", url, "has request. pass")
43 | return
44 | r = requests.get(url, headers=self.headers, params=params)
45 | # 结果解析
46 | commentsJson = json.loads(r.text)
47 | # 保存redis去重缓存
48 | if (commentsJson['code'] == 200):
49 | redis_util.saveUrl(redis_util.commentPrefix, str(music_id))
50 | else:
51 | print(url, " request error :", commentsJson)
52 | return
53 | # 热评
54 | for item in commentsJson['hotComments']:
55 | self.dbsave(item, music_id)
56 |
57 | # 普通评论
58 | for item in commentsJson['comments']:
59 | self.dbsave(item, music_id)
60 | # 请求完成后睡一秒 防作弊
61 | time.sleep(1)
62 |
63 | # 保存数据库
64 | def dbsave(self, item, music_id):
65 | user = item['user']
66 | # 用户id
67 | userId = user['userId']
68 | nickname = user['nickname']
69 | # 用户头像
70 | userImg = user['avatarUrl']
71 | # 评论内容
72 | content = item['content']
73 | # 点赞数
74 | likedCount = item['likedCount']
75 | # 时间
76 | remarkTime = item['time']
77 | # 评论id
78 | commentId = item['commentId']
79 | try:
80 | # 持久化
81 | sql.insert_comment(commentId, music_id, content, likedCount, remarkTime, userId, nickname, userImg)
82 | except Exception as e:
83 | # 打印错误日志
84 | print(str(item), ' insert error : ', str(e))
85 | time.sleep(1)
86 |
87 |
88 | def saveCommentBatch(index):
89 | my_comment = Comment()
90 | offset = 1000 * index
91 | musics = sql.get_music_page(offset, 1000)
92 | print("index:", index, "offset:", offset, "artists :", len(musics), "start :", musics[0]['music_id'])
93 | for item in musics:
94 | try:
95 | my_comment.saveComment(item['music_id'])
96 | except Exception as e:
97 | # 打印错误日志
98 | print(' internal error : ' + str(e))
99 | # traceback.print_exc()
100 | time.sleep(2)
101 | print("index:", index, "finished")
102 |
103 |
104 | def commentSpider():
105 | print("======= 开始爬 评论 信息 ===========")
106 | startTime = datetime.datetime.now()
107 | print(startTime.strftime('%Y-%m-%d %H:%M:%S'))
108 | # 所有歌手数量
109 | musics_num = sql.get_all_music_num()
110 | # 批次
111 | batch = math.ceil(musics_num.get('num') / 1000.0)
112 | # 构建线程池
113 | # pool = ProcessPoolExecutor(1)
114 | for index in range(0, batch):
115 | saveCommentBatch(index)
116 | # pool.submit(saveCommentBatch, index)
117 | # pool.shutdown(wait=True)
118 | print("======= 结束爬 评论 信息 ===========")
119 | endTime = datetime.datetime.now()
120 | print(endTime.strftime('%Y-%m-%d %H:%M:%S'))
121 | print("耗时:", (endTime - startTime).seconds, "秒")
122 |
123 | # if __name__ == '__main__':
124 | # commentSpider()
125 |
--------------------------------------------------------------------------------
/src/db.sql:
--------------------------------------------------------------------------------
1 |
2 | -- 歌手表
3 | CREATE TABLE `artists` (
4 | `artist_id` bigint(20) NOT NULL,
5 | `artist_name` varchar(255) DEFAULT NULL,
6 | PRIMARY KEY (`artist_id`),
7 | KEY `unique_id` (`artist_id`)
8 | ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
9 |
10 | -- 专辑表
11 | CREATE TABLE `albums` (
12 | `album_id` bigint(20) NOT NULL,
13 | `artist_id` bigint(20) NOT NULL,
14 | `title` varchar(255) DEFAULT NULL,
15 | `img` varchar(255) DEFAULT NULL,
16 | PRIMARY KEY (`album_id`)
17 | ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
18 |
19 | -- 音乐表
20 | CREATE TABLE `musics` (
21 | `music_id` int(20) NOT NULL,
22 | `music_name` varchar(255) DEFAULT NULL,
23 | `album_id` int(20) NOT NULL,
24 | PRIMARY KEY (`music_id`)
25 | ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
26 |
27 | -- 评论表
28 | CREATE TABLE `comments` (
29 | `comment_id` bigint(20) NOT NULL,
30 | `music_id` bigint(20) DEFAULT NULL,
31 | `content` varchar(255) DEFAULT NULL,
32 | `liked_count` int(10) DEFAULT NULL,
33 | `time` bigint(20) DEFAULT NULL,
34 | `user_id` bigint(20) DEFAULT NULL,
35 | `nickname` varchar(255) DEFAULT NULL,
36 | `user_img` varchar(255) DEFAULT NULL,
37 | PRIMARY KEY (`comment_id`)
38 | ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
39 |
40 | -- 歌词表
41 | CREATE TABLE `lyrics` (
42 | `music_id` bigint(20) NOT NULL,
43 | `lyric` text DEFAULT NULL,
44 | PRIMARY KEY (`music_id`)
45 | ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
46 |
47 |
--------------------------------------------------------------------------------
/src/lyric_by_music.py:
--------------------------------------------------------------------------------
1 | """
2 | 根据歌曲 ID 获得所有的歌曲所对应的热门评论和歌词
3 | """
4 | import datetime
5 | import json
6 | import math
7 | import random
8 | import re
9 | import time
10 | from concurrent.futures.process import ProcessPoolExecutor
11 |
12 | import requests
13 |
14 | from src import sql, redis_util
15 | from src.util.user_agents import agents
16 |
17 |
18 | class LyricComment(object):
19 | headers = {
20 | 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
21 | 'Accept-Encoding': 'gzip, deflate, sdch',
22 | 'Accept-Language': 'zh-CN,zh;q=0.8,en;q=0.6',
23 | 'Cache-Control': 'no-cache',
24 | 'Connection': 'keep-alive',
25 | # 'Cookie': '_ntes_nnid=7eced19b27ffae35dad3f8f2bf5885cd,1476521011210; _ntes_nuid=7eced19b27ffae35dad3f8f2bf5885cd; usertrack=c+5+hlgB7TgnsAmACnXtAg==; Province=025; City=025; _ga=GA1.2.1405085820.1476521280; NTES_PASSPORT=6n9ihXhbWKPi8yAqG.i2kETSCRa.ug06Txh8EMrrRsliVQXFV_orx5HffqhQjuGHkNQrLOIRLLotGohL9s10wcYSPiQfI2wiPacKlJ3nYAXgM; P_INFO=hourui93@163.com|1476523293|1|study|11&12|jis&1476511733&mail163#jis&320100#10#0#0|151889&0|g37_client_check&mailsettings&mail163&study&blog|hourui93@163.com; JSESSIONID-WYYY=189f31767098c3bd9d03d9b968c065daf43cbd4c1596732e4dcb471beafe2bf0605b85e969f92600064a977e0b64a24f0af7894ca898b696bd58ad5f39c8fce821ec2f81f826ea967215de4d10469e9bd672e75d25f116a9d309d360582a79620b250625859bc039161c78ab125a1e9bf5d291f6d4e4da30574ccd6bbab70b710e3f358f%3A1476594130342; _iuqxldmzr_=25; __utma=94650624.1038096298.1476521011.1476588849.1476592408.6; __utmb=94650624.11.10.1476592408; __utmc=94650624; __utmz=94650624.1476521011.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none)',
26 | 'DNT': '1',
27 | 'Host': 'music.163.com',
28 | 'Pragma': 'no-cache',
29 | 'Referer': 'http://music.163.com/',
30 | 'Upgrade-Insecure-Requests': '1',
31 | 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.143 Safari/537.36'
32 | }
33 |
34 | def saveLyric(self, music_id):
35 | # 获取歌手个人主页
36 | agent = random.choice(agents)
37 | self.headers["User-Agent"] = agent
38 | url = 'http://music.163.com/api/song/lyric?id=' + str(music_id) + '&lv=1&kv=1&tv=1'
39 | # 去redis验证是否爬取过
40 | check = redis_util.checkIfRequest(redis_util.lyricPrefix, str(music_id))
41 | if (check):
42 | print("url:", url, "has request. pass")
43 | return
44 | r = requests.get(url, headers=self.headers)
45 | # 解析
46 | lyricJson = json.loads(r.text)
47 | # 保存redis去重缓存
48 | if (lyricJson['code'] == 200):
49 | redis_util.saveUrl(redis_util.lyricPrefix, str(music_id))
50 | else:
51 | print(url, " request error :", lyricJson)
52 | return
53 | if ('lrc' in lyricJson):
54 | # 把歌词里的时间干掉
55 | regex = re.compile(r'\[.*\]')
56 | finalLyric = re.sub(regex, '', lyricJson['lrc']['lyric']).strip()
57 | # 持久化数据库
58 | try:
59 | sql.insert_lyric(music_id, finalLyric)
60 | except Exception as e:
61 | print(music_id, "insert error", str(e))
62 | else:
63 | print(str(music_id), "has no lyric", lyricJson)
64 | # 请求完成后睡一秒 防作弊
65 | time.sleep(1)
66 |
67 |
68 | def saveLyricBatch(index):
69 | my_lyric_comment = LyricComment()
70 | offset = 1000 * index
71 | musics = sql.get_music_page(offset, 1000)
72 | print("index:", index, "offset:", offset, "artists :", len(musics), "start")
73 | for item in musics:
74 | try:
75 | my_lyric_comment.saveLyric(item['music_id'])
76 | except Exception as e:
77 | # 打印错误日志
78 | print(item['music_id'], ' internal error : ' + str(e))
79 | # traceback.print_exc()
80 | time.sleep(1)
81 | print("index:", index, "finished")
82 |
83 |
84 | def lyricSpider():
85 | print("======= 开始爬 歌词 信息 ===========")
86 | startTime = datetime.datetime.now()
87 | print(startTime.strftime('%Y-%m-%d %H:%M:%S'))
88 | # 所有歌手数量
89 | musics_num = sql.get_all_music_num()
90 | # 批次
91 | batch = math.ceil(musics_num.get('num') / 1000.0)
92 | # 构建线程池
93 | # pool = ProcessPoolExecutor(1)
94 | for index in range(0, batch):
95 | saveLyricBatch(index)
96 | # pool.submit(saveLyricBatch, index)
97 | # pool.shutdown(wait=True)
98 | print("======= 结束爬 歌词 信息 ===========")
99 | endTime = datetime.datetime.now()
100 | print(endTime.strftime('%Y-%m-%d %H:%M:%S'))
101 | print("耗时:", (endTime - startTime).seconds, "秒")
102 |
103 | # if __name__ == '__main__':
104 | # lyricSpider()
105 |
--------------------------------------------------------------------------------
/src/music_by_album.py:
--------------------------------------------------------------------------------
1 | """
2 | 根据专辑 ID 获取到所有的音乐 ID
3 | """
4 | import datetime
5 | import json
6 | import math
7 | import random
8 | import time
9 | import traceback
10 | from concurrent.futures.process import ProcessPoolExecutor
11 |
12 | import requests
13 | from bs4 import BeautifulSoup
14 |
15 | from src import sql, redis_util
16 | from src.util.user_agents import agents
17 |
18 |
19 | class Music(object):
20 | headers = {
21 | 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
22 | 'Accept-Encoding': 'gzip, deflate, sdch',
23 | 'Accept-Language': 'zh-CN,zh;q=0.8,en;q=0.6',
24 | 'Cache-Control': 'no-cache',
25 | 'Connection': 'keep-alive',
26 | # 获取数据多了之后,就会被禁用访问,可以使用代理
27 | 'Cookie': 'MUSIC_U=f8b73ab123ddad32d44c37546522e06bb123363f4b813922a1902f2ds2ceb750c52sd32ccbb1ab2b9c23asd3a31522c7067cce3c7469;',
28 | 'DNT': '1',
29 | 'Host': 'music.163.com',
30 | 'Pragma': 'no-cache',
31 | 'Referer': 'http://music.163.com/album?id=71537',
32 | 'Upgrade-Insecure-Requests': '1',
33 | 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.143 Safari/537.36'
34 | }
35 |
36 | # 采用模仿网易云页面请求的方式爬取
37 | def save_music(self, album_id):
38 | params = {'id': album_id}
39 | # 获取专辑对应的页面
40 | agent = random.choice(agents)
41 | self.headers["User-Agent"] = agent
42 | url = 'https://music.163.com/album?id=' + str(album_id)
43 | # 去redis验证是否爬取过
44 | check = redis_util.checkIfRequest(redis_util.musicPrefix, url)
45 | if (check):
46 | print("url:", url, "has request. pass")
47 | time.sleep(1)
48 | return
49 | r = requests.get('https://music.163.com/album', headers=self.headers, params=params)
50 |
51 | # 网页解析
52 | soup = BeautifulSoup(r.content.decode(), 'html.parser')
53 | body = soup.body
54 | # 保存redis去重缓存
55 | redis_util.saveUrl(redis_util.musicPrefix, url)
56 | musics = body.find('ul', attrs={'class': 'f-hide'}).find_all('li') # 获取专辑的所有音乐
57 | if len(musics) == 0:
58 | return
59 | for music in musics:
60 | music = music.find('a')
61 | music_id = music['href'].replace('/song?id=', '')
62 | music_name = music.getText()
63 | try:
64 | sql.insert_music(music_id, music_name, album_id)
65 | except Exception as e:
66 | # 打印错误日志
67 | print(music, ' inset db error: ', str(e))
68 | # traceback.print_exc()
69 | time.sleep(1)
70 |
71 | # 调用网易云api爬取
72 | def save_music_by_api(self, album_id):
73 | url = "http://music.163.com/api/album/" + str(album_id)
74 | # 去redis验证是否爬取过
75 | check = redis_util.checkIfRequest(redis_util.musicPrefix, str(album_id))
76 | if (check):
77 | print("url:", url, "has request. pass")
78 | time.sleep(1)
79 | return
80 | agent = random.choice(agents)
81 | self.headers["User-Agent"] = agent
82 | r = requests.get(url, headers=self.headers)
83 | # 解析
84 | ablum_json = json.loads(r.text)
85 | # 保存redis去重缓存
86 | if (ablum_json['code'] == 200):
87 | redis_util.saveUrl(redis_util.musicPrefix, str(album_id))
88 | else:
89 | print(url, " request error :", ablum_json)
90 | return
91 | for item in ablum_json.get('album').get('songs'):
92 | music_id = item['id']
93 | music_name = item['name']
94 | try:
95 | sql.insert_music(music_id, music_name, album_id)
96 | except Exception as e:
97 | # 打印错误日志
98 | print(music_id, music_name, album_id, ' inset db error: ', str(e))
99 | # traceback.print_exc()
100 | time.sleep(1)
101 |
102 |
103 | def saveMusicBatch(index):
104 | my_music = Music()
105 | offset = 1000 * index
106 | albums = sql.get_album_page(offset, 1000)
107 | print("index:", index, "offset:", offset, " albums :", len(albums), "start")
108 | for i in albums:
109 | try:
110 | # 调用网易云api爬取
111 | my_music.save_music_by_api(i['album_id'])
112 | # 采用模仿网易云页面请求的方式爬取
113 | # my_music.save_music(i['album_id'])
114 | time.sleep(1)
115 | except Exception as e:
116 | # 打印错误日志
117 | print(str(i) + ' interval error: ' + str(e))
118 | time.sleep(2)
119 | print("index:", index, "finished")
120 |
121 |
122 | def musicSpider():
123 | print("======= 开始爬 音乐 信息 ===========")
124 | startTime = datetime.datetime.now()
125 | print(startTime.strftime('%Y-%m-%d %H:%M:%S'))
126 | # 所有专辑数量
127 | albums_num = sql.get_all_album_num()
128 | print("所有专辑数量:", albums_num)
129 | # 批次
130 | batch = math.ceil(albums_num.get('num') / 1000.0)
131 | # 构建线程池
132 | # pool = ProcessPoolExecutor(1)
133 | for index in range(0, batch):
134 | saveMusicBatch(index)
135 | # pool.submit(saveMusicBatch, index)
136 | # pool.shutdown(wait=True)
137 | print("======= 结束爬 音乐 信息 ===========")
138 | endTime = datetime.datetime.now()
139 | print(endTime.strftime('%Y-%m-%d %H:%M:%S'))
140 | print("耗时:", (endTime - startTime).seconds, "秒")
141 |
142 | # if __name__ == '__main__':
143 | # musicSpider()
144 |
--------------------------------------------------------------------------------
/src/redis_util.py:
--------------------------------------------------------------------------------
1 | import redis
2 |
3 | # redis 连接
4 | connection = redis.Redis(host='127.0.0.1', port=6379)
5 |
6 | # redis工程前缀
7 | projectPrefix = '163music:'
8 | # 歌词前缀
9 | lyricPrefix = projectPrefix + 'lyric:'
10 | # 评论前缀
11 | commentPrefix = projectPrefix + 'comment:'
12 | # 歌曲前缀
13 | musicPrefix = projectPrefix + 'music:'
14 | # 专辑前缀
15 | albumPrefix = projectPrefix + 'album:'
16 |
17 |
18 | # 查看key是否存在
19 | def checkIfRequest(prefix, key):
20 | if key is None:
21 | raise Exception("redis checkIfRequest get no url")
22 | res = connection.exists(prefix + key)
23 | if res > 0:
24 | return True
25 | else:
26 | return False
27 |
28 |
29 | # 保存key
30 | def saveUrl(prefix, key):
31 | if key is None:
32 | raise Exception("redis saveUrl get no url")
33 | res = connection.set(prefix + key, key)
34 | if not res:
35 | raise Exception("redis saveUrl fail")
36 | return res
37 |
--------------------------------------------------------------------------------
/src/sql.py:
--------------------------------------------------------------------------------
1 | """
2 | 一般 Python 用于连接 MySQL 的工具:pymysql
3 | """
4 | import pymysql.cursors
5 |
6 | connection = pymysql.connect(host='localhost',
7 | user='root',
8 | password='123',
9 | db='test',
10 | charset='utf8mb4',
11 | cursorclass=pymysql.cursors.DictCursor)
12 |
13 |
14 | # 保存评论
15 | def insert_comment(commentId, music_id, content, likedCount, time, userId, nickname, userImg):
16 | with connection.cursor() as cursor:
17 | sql = "INSERT INTO `comments` (`comment_id`, `music_id`, `content`, `liked_count`, `time`, `user_id`, `nickname`, `user_img`) VALUES (%s, %s, %s, %s, %s, %s, %s, %s)"
18 | cursor.execute(sql, (commentId, music_id, content, likedCount, time, userId, nickname, userImg))
19 | connection.commit()
20 |
21 |
22 | # 获取所有歌词 数量
23 | def get_all_comment_num():
24 | with connection.cursor() as cursor:
25 | sql = "SELECT count(1) as num FROM `comments` where comment_id >= 0"
26 | cursor.execute(sql, ())
27 | return cursor.fetchone()
28 |
29 | # 分页获取歌词信息
30 | def get_comment_page(offset, size):
31 | with connection.cursor() as cursor:
32 | sql = "SELECT comment_id,`content` FROM `comments` where comment_id >= 0 order by comment_id limit %s ,%s"
33 | cursor.execute(sql, (offset, size))
34 | return cursor.fetchall()
35 |
36 |
37 | # 保存歌词
38 | def insert_lyric(music_id, lyric):
39 | with connection.cursor() as cursor:
40 | sql = "INSERT INTO `lyrics` (`music_id`, `lyric`) VALUES (%s, %s)"
41 | cursor.execute(sql, (music_id, lyric))
42 | connection.commit()
43 |
44 |
45 | # 获取所有歌手的 数量 评论到 192913 歌词 64551
46 | def get_all_music_num():
47 | with connection.cursor() as cursor:
48 | sql = "SELECT count(1) as num FROM `musics` where music_id >= 192913"
49 | cursor.execute(sql, ())
50 | return cursor.fetchone()
51 |
52 |
53 | # 分页获取歌手的 ID
54 | def get_music_page(offset, size):
55 | with connection.cursor() as cursor:
56 | sql = "SELECT `music_id` FROM `musics` where music_id >= 192913 order by music_id limit %s ,%s"
57 | cursor.execute(sql, (offset, size))
58 | return cursor.fetchall()
59 |
60 |
61 | # 保存音乐
62 | def insert_music(music_id, music_name, album_id):
63 | with connection.cursor() as cursor:
64 | sql = "INSERT INTO `musics` (`music_id`, `music_name`, `album_id`) VALUES (%s, %s, %s)"
65 | cursor.execute(sql, (music_id, music_name, album_id))
66 | connection.commit()
67 |
68 |
69 | # 保存专辑
70 | def insert_album(album_id, artist_id, title, img):
71 | with connection.cursor() as cursor:
72 | sql = "INSERT INTO `albums` (album_id, artist_id, title, img ) VALUES (%s, %s,%s,%s)"
73 | cursor.execute(sql, (album_id, artist_id, title, img))
74 | connection.commit()
75 |
76 |
77 | # 保存歌手
78 | def insert_artist(artist_id, artist_name):
79 | with connection.cursor() as cursor:
80 | sql = "INSERT INTO `artists` (`artist_id`, `artist_name`) VALUES (%s, %s)"
81 | cursor.execute(sql, (artist_id, artist_name))
82 | connection.commit()
83 |
84 |
85 | # 获取所有歌手的 数量
86 | def get_all_artist_num():
87 | with connection.cursor() as cursor:
88 | sql = "SELECT count(1) as num FROM `artists` "
89 | cursor.execute(sql, ())
90 | return cursor.fetchone()
91 |
92 |
93 | # 分页获取歌手的 ID
94 | def get_artist_page(offset, size):
95 | with connection.cursor() as cursor:
96 | sql = "SELECT `artist_id` FROM `artists` limit %s ,%s"
97 | cursor.execute(sql, (offset, size))
98 | return cursor.fetchall()
99 |
100 |
101 | # 获取所有专辑的 数量 歌曲到 36504028
102 | def get_all_album_num():
103 | with connection.cursor() as cursor:
104 | sql = "SELECT count(1) as num FROM `albums` where album_id > 36503960 "
105 | cursor.execute(sql, ())
106 | return cursor.fetchone()
107 |
108 |
109 | # 分页获取专辑的 ID
110 | def get_album_page(offset, size):
111 | with connection.cursor() as cursor:
112 | sql = "SELECT `album_id` FROM `albums` where album_id > 36503960 limit %s ,%s"
113 | cursor.execute(sql, (offset, size))
114 | return cursor.fetchall()
115 |
116 |
117 | # 获取所有音乐的 ID
118 | def get_all_music():
119 | with connection.cursor() as cursor:
120 | sql = "SELECT `music_id` FROM `musics` ORDER BY music_id"
121 | cursor.execute(sql, ())
122 | return cursor.fetchall()
123 |
124 |
125 | def dis_connect():
126 | connection.close()
127 |
128 |
129 | # 清库
130 | def truncate_all():
131 | with connection.cursor() as cursor:
132 | sql = "truncate table artists"
133 | cursor.execute(sql, ())
134 | sql = "truncate table albums"
135 | cursor.execute(sql, ())
136 | sql = "truncate table musics"
137 | cursor.execute(sql, ())
138 | sql = "truncate table comments"
139 | cursor.execute(sql, ())
140 | sql = "truncate table lyrics"
141 | cursor.execute(sql, ())
142 | connection.commit()
143 |
--------------------------------------------------------------------------------
/src/util/__init__.py:
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https://raw.githubusercontent.com/NacedWang/163MusicSpider/cf8b2fb2d3c2948bc5cd568d2b8a7ebdc1ef715a/src/util/__init__.py
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/src/util/json_util.py:
--------------------------------------------------------------------------------
1 |
2 | class JsonUtil(object) :
3 | keysAll_list = []
4 |
5 | def getKeys(self, data={}): # 遍历json所有key
6 | if (type(data) == type({})):
7 | keys = data.keys()
8 | for key in keys:
9 | value = data.get(key)
10 | if (type(value) != type({}) and type(value) != type([])):
11 | self.keysAll_list.append(key)
12 | elif (type(value) == type({})):
13 | self.keysAll_list.append(key)
14 | self.getKeys(value)
15 | elif (type(value) == type([])):
16 | self.keysAll_list.append(key)
17 | for para in value:
18 | if (type(para) == type({}) or type(para) == type([])):
19 | self.getKeys(para)
20 | else:
21 | self.keysAll_list.append(para)
22 | return self.keysAll_list
23 |
24 |
25 | def isExtend(self, data, tagkey): # 检测目标字段tagkey是否在data(json数据)中
26 | if (type(data) != type({})):
27 | print('please input a json!')
28 | else:
29 | key_list = self.getKeys(data)
30 | for key in key_list:
31 | if (key == tagkey):
32 | return True
33 | return False
34 |
--------------------------------------------------------------------------------
/src/util/user_agents.py:
--------------------------------------------------------------------------------
1 | # encoding=utf-8
2 |
3 | agents = [
4 | "Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/532.5 (KHTML, like Gecko) Chrome/4.0.249.0 Safari/532.5",
5 | "Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US) AppleWebKit/532.9 (KHTML, like Gecko) Chrome/5.0.310.0 Safari/532.9",
6 | "Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/534.7 (KHTML, like Gecko) Chrome/7.0.514.0 Safari/534.7",
7 | "Mozilla/5.0 (Windows; U; Windows NT 6.0; en-US) AppleWebKit/534.14 (KHTML, like Gecko) Chrome/9.0.601.0 Safari/534.14",
8 | "Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.14 (KHTML, like Gecko) Chrome/10.0.601.0 Safari/534.14",
9 | "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/534.27 (KHTML, like Gecko) Chrome/12.0.712.0 Safari/534.27",
10 | "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.1 (KHTML, like Gecko) Chrome/13.0.782.24 Safari/535.1",
11 | "Mozilla/5.0 (Windows NT 6.0) AppleWebKit/535.2 (KHTML, like Gecko) Chrome/15.0.874.120 Safari/535.2",
12 | "Mozilla/5.0 (Windows; U; Windows NT 6.0 x64; en-US; rv:1.9pre) Gecko/2008072421 Minefield/3.0.2pre",
13 | "Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.9.0.10) Gecko/2009042316 Firefox/3.0.10",
14 | "Mozilla/5.0 (Windows; U; Windows NT 6.0; en-GB; rv:1.9.0.11) Gecko/2009060215 Firefox/3.0.11 (.NET CLR 3.5.30729)",
15 | "Mozilla/5.0 (Windows; U; Windows NT 6.0; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6 GTB5",
16 | "Mozilla/5.0 (Windows; U; Windows NT 5.1; tr; rv:1.9.2.8) Gecko/20100722 Firefox/3.6.8 ( .NET CLR 3.5.30729; .NET4.0E)",
17 | "Mozilla/5.0 (Windows NT 6.1; rv:2.0.1) Gecko/20100101 Firefox/4.0.1",
18 | "Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:2.0.1) Gecko/20100101 Firefox/4.0.1",
19 | "Mozilla/5.0 (Windows NT 5.1; rv:5.0) Gecko/20100101 Firefox/5.0",
20 | "Mozilla/5.0 (Windows NT 6.1; WOW64; rv:6.0a2) Gecko/20110622 Firefox/6.0a2",
21 | "Mozilla/5.0 (Windows NT 6.1; WOW64; rv:7.0.1) Gecko/20100101 Firefox/7.0.1",
22 | "Mozilla/5.0 (Windows NT 6.1; WOW64; rv:2.0b4pre) Gecko/20100815 Minefield/4.0b4pre",
23 | "Mozilla/4.0 (compatible; MSIE 5.5; Windows NT 5.0 )",
24 | "Mozilla/4.0 (compatible; MSIE 5.5; Windows 98; Win 9x 4.90)",
25 | "Mozilla/5.0 (Windows; U; Windows XP) Gecko MultiZilla/1.6.1.0a",
26 | "Mozilla/3.01Gold (Win95; I)",
27 | "Mozilla/4.8 [en] (Windows NT 5.1; U)",
28 | "Mozilla/5.0 (Windows; U; Win98; en-US; rv:1.4) Gecko Netscape/7.1 (ax)",
29 | "Mozilla/5.0 (hp-tablet; Linux; hpwOS/3.0.2; U; de-DE) AppleWebKit/534.6 (KHTML, like Gecko) wOSBrowser/234.40.1 Safari/534.6 TouchPad/1.0",
30 | ]
31 |
--------------------------------------------------------------------------------