-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy path爬取网易云音乐给定歌单或用户的评论(歌曲多线程).py
254 lines (215 loc) · 12.9 KB
/
爬取网易云音乐给定歌单或用户的评论(歌曲多线程).py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
# -*- coding: UTF-8 -*-
# 新手上路，不足之处还有很多，还望指教！
# 这是一个简陋地获取网易云音乐某歌单或者某专辑下的所有评论，并找出某个用户(user_id)在此歌单中的
# 所有评论然后保存在数据库中的程序。
# 编写环境:Ubuntu16.04、python3.5
# 歌单id(params)、目标用户user_id，以及数据库的写入可根据自己需求更改或注释掉。
import base64
import requests
import json
import time
import random
import threading
import pymysql.cursors
from bs4 import BeautifulSoup
from Crypto.Cipher import AES
#在mysql中创建数据库：create database netnease
#创建表'comments'：create table comments(id int unsigned not null auto_increment primary key, music_name varchar(64), music_id int unsigned, user_name varchar(32), user_id int unsigned, comments varchar(282),page int);
# 为了解决因emoji而出现string error时：ALTER TABLE comments CONVERT TO CHARACTER SET utf8mb4;
# 连接mysql
connection = pymysql.connect(host='localhost',
user='root',
password='123321',#你的数据库密码
db='netease', #连接的数据库名称
charset='utf8mb4',
port=3306,
cursorclass=pymysql.cursors.DictCursor)
s = requests.session()
# 关闭默认的http connection的keep-alive
s.keep_alive = False
# 为了解决错误max retries exceeded whith url
requests.adapters.DEFAULT_RETRIES = 3
# 经我摸索，每次爬取时从proxies池中使用proxies不能解决出现的403错误、nginx等问题，
# 而使用User-Agent后则不会出现错误。
user_agent_list = [
"Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_8; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50",
"Mozilla/5.0 (Windows; U; Windows NT 6.1; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0;",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10.6; rv:2.0.1) Gecko/20100101 Firefox/4.0.1",
"Mozilla/5.0 (Windows NT 6.1; rv:2.0.1) Gecko/20100101 Firefox/4.0.1",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_0) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.56 Safari/535.11",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1",
"Mozilla/5.0 (X11; CrOS i686 2268.111.0) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.57 Safari/536.11",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1092.0 Safari/536.6",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1090.0 Safari/536.6",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/19.77.34.5 Safari/537.1",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.9 Safari/536.5",
"Mozilla/5.0 (Windows NT 6.0) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.36 Safari/536.5",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_0) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24"
]
user_agent = random.choice(user_agent_list) # 随机获取代理ip
raw_headers = {
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
'Accept-Encoding': 'gzip, deflate, sdch',
'Accept-Language': 'zh-CN,zh;q=0.8,en;q=0.6',
'Cache-Control': 'no-cache',
'Cookie':'_ntes_nnid=73794490c88b2790756a23cb36d25ec1,1507099821594; _ntes_nuid=73794490c88b2790756a23cb36d25ec1; _ngd_tid=LtmNY2JGJkw6wR3HF%2FpG2bY%2BtHhQDmOj; usertrack=c+xxC1nazueHBQJiCi7XAg==; JSESSIONID-WYYY=sJg6dw45PFKjn0VD2OuD0mzqC03xb3CnU3h4ac43kp7r9q9GJos%2BFDVyZmeGtz%5CHciN66cY5KAEW6jlHT%5COv0qzP8T3O3R5cq28%2BXJ3rc%2BkqsI4Y%2BrJIwZczDZGlvq225U%5CNWBP0iEjTnfdUG21swAhZA%5CfX29F4s9M6tz2EK7%2FESIpW%3A1507612773856; _iuqxldmzr_=32; MUSIC_U=e58d5af1daeedff199dcb9d14e06692f2db7395809fd3b393c0d6d53e13de2f484b4ab9877ef4e4ca1595168b12a45da86e425b9057634fc; __remember_me=true; __csrf=63e549f853ed105c4590d6fe622fb4f6',
'Host': 'music.163.com',
'Referer': 'http://music.163.com/',
'User-Agent': user_agent
}
# 以下encSecKey、AES_encrypt等有关解密的函数非原创，来源于知乎，
# 参考：https://www.zhihu.com/question/36081767
# 其中get_json有改动
# 获取params 注意：评论每一次翻页后的的params都不一样
def get_params(first_param, forth_param):
iv = "0102030405060708"
first_key = forth_param
second_key = 16 * 'F'
h_encText = AES_encrypt(first_param, first_key.encode(), iv.encode())
h_encText = AES_encrypt(
h_encText.decode(), second_key.encode(), iv.encode())
return h_encText.decode()
# 获取encSecKey
def get_encSecKey():
encSecKey = "257348aecb5e556c066de214e531faadd1c55d814f9be95fd06d6bff9f4c7a41f831f6394d5a3fd2e3881736d94a02ca919d952872e7d0a50ebfa1769a7a62d512f5f1ca21aec60bc3819a9c3ffca5eca9a0dba6d6f7249b06f5965ecfff3695b54e1c28f3f624750ed39e7de08fc8493242e26dbc4484a01c76f739e135637c"
return encSecKey
# AES解密
def AES_encrypt(text, key, iv):
pad = 16 - len(text) % 16
text = text + pad * chr(pad)
encryptor = AES.new(key, AES.MODE_CBC, iv)
encrypt_text = encryptor.encrypt(text.encode())
encrypt_text = base64.b64encode(encrypt_text)
return encrypt_text
# 获取json数据
def get_json(url, data):
headers=raw_headers
response = requests.post(url=url, headers=headers,data=data)
# proxies=proxies
global index
index += 1
if index > 1500:
index -= 1500 # 每爬取约30000条评论sleep一下
print('每爬30000条评论,sleep几秒....ZZzzzzz......Go on')
time.sleep(random.randint(1, 3))
return response.content
# 传入post数据
def crypt_api(music_id, offset):
url = "http://music.163.com/weapi/v1/resource/comments/R_SO_4_%s/?csrf_token=" % music_id
first_param = "{rid:\"\", offset:\"%s\", total:\"true\", limit:\"20\", csrf_token:\"\"}" % offset
forth_param = "0CoJUm6Qyw8W8jud"
params = get_params(first_param, forth_param)
encSecKey = get_encSecKey()
data = {
"params": params,
"encSecKey": encSecKey
}
return url, data
###################################################################################################################
# 获取评论
def get_comment(music_id,song_name):
global num # 计量爬行总评论数
#proxy_pool = raw_proxy_pool
try:
offset = 0
url, data = crypt_api(music_id, offset) # return url, data
json_text = get_json(url, data)
# json_dict为得到包含所有评论的dict
json_dict = json.loads(json_text.decode("utf-8"))
comments_sum = json_dict['total'] # 评论总数
print('《'+str(song_name)+'》'+'共有:{}条评论,正在爬取........'.format(comments_sum))
num += comments_sum # 将所有的comments_sum累加便是爬取总评论数
raw_page = 0 #用于获得目标用户评论所在的页数
for i in range(0, comments_sum, 20): # 每一页有20条评论
#proxies = random.choice(proxy_pool) # 随机获取代理ip
# 对于每一页需请求一次，使用一次代理
offset = i
url, data = crypt_api(music_id, offset)
json_text = get_json(url, data)
json_dict = json.loads(json_text.decode("utf-8"))
json_comment = json_dict['comments']
for comment in json_comment:
# 每一个comment均为包含一个user的所有评论信息
# 找了只有一条评论的歌曲信息，comment格式如下：
# music_id:5283862 music_name:忘了我吧!我的最爱
#{"isMusician":false,"userId":-1,"topComments":[],"moreHot":false,"hotComments":[],"code":200,
#"comments":[{"user":{"locationInfo":null,"experts":null,"authStatus":0,"remarkName":null,"avatarUrl":"http://p1.music.126.net/8N882UcPox32hcrYCpfOxw==/19083123811686650.jpg","userId":429847262,"expertTags":null,"vipType":0,"nickname":"故事偷盗者","userType":0},
#"beReplied":[],"likedCount":0,"liked":false,"commentId":321330017,"time":1488441683356,"content":"为了遮羞才把书包挡住屁股给你学牛看，从此每天乐此不疲逗你开心。你初一的时候开始不好好学习，谈了男朋友，最后跟他私奔，现在都还杳无音讯！但不管怎样，我都希望你现在能像以前一样，找到那头可以逗你哈哈大笑的牛，幸福下去。晚安[牵手]",
#"isRemoveHotComment":false}],"total":1,"more":false}
user_id = comment['user']['userId']
# 如果该歌曲中的评论有目标用户(user_id)则把目标用户的评论信息保存到数据库
if user_id == 48353:#网易UFO丁磊
user_name = comment['user']['nickname']
comments = comment['content']
print(song_name, '——', ':', comments)
# page 是目标评论所在位置：因评论可能增长过快，若希望以前爬取到的评论页数长久仍
# 有效，page以倒数页计：最后一页为-1,倒数第二页为-2....
page=-(comments_sum // 20 + 1 - raw_page)
print(page)
# 添加目标用户评论的相关信息到到数据库中
with connection.cursor() as cursor:
sql = "INSERT INTO `whjbmk` (`music_name`, `music_id`,`user_name`,`comments`,`page`) VALUES (%s,%s,%s,%s,%s)"
cursor.execute(sql, (song_name,music_id,user_name,comments,page))
connection.commit() #提交数据库的更改
raw_page += 1
time.sleep(random.randint(1, 3))
except Exception as e:
print('出现错误:', e)
# 用本地文档生成随机proxies
#raw_proxy_pool = []
#with open("/home/hardly/文档/proxy.txt")as fin:
#for line in fin.readlines():
#line = line.strip("\n")
#pro = {'https': 'https:' + line}
# print(proxies)
#raw_proxy_pool.append(pro)
# 获取专辑或者歌单对应的页面 (url相应改为album 或 playlist)
index = 0 # 用于每爬取1500页(30000条评论)sleep一下
num = 0 # 计量爬行总评论数
def get_music_info():
music_id=[] # music_id的列表集
music_name=[] ## music_name的列表集
playlist_id = {'id': 907742221}
r = requests.get('http://music.163.com/playlist',params=playlist_id,headers=raw_headers)
#proxies=random.choice(raw_proxy_pool)
soup = BeautifulSoup(r.content.decode(), 'html.parser')
body = soup.body
#获取playlist中的所有音乐的music_name,music_id
musics = body.find('ul', attrs={'class': 'f-hide'}).find_all('li')
for id_and_name in musics: # 对于包含歌曲的musics，解析获得其相应的music_id和music_name
music = id_and_name.find('a')
mus_id = music['href'].replace('/song?id=', '')
music_id.append(mus_id) #将music_id添加到[]中
mus_name = music.getText()
music_name.append(mus_name)
#print(mus_id, ':', mus_name)
for i in range(0, len(music_id), 3):
threads = []
t1= threading.Thread(target=get_comment, args=(music_id[i],music_name[i]))
threads.append(t1)
ii=i+1
if ii< len(music_id):
t2= threading.Thread(target=get_comment, args=(music_id[(ii)],music_name[ii]))
threads.append(t2)
iii=i+2
if iii< len(music_id):
t3= threading.Thread(target=get_comment, args=(music_id[(iii)],music_name[iii]))
threads.append(t3)
for t in threads:
t.start()
for t in threads:
t.join()
print('目前共成功爬取:'+str(num)+'条评论')
if __name__ == '__main__':
get_music_info()