思路整理
- 访问网易云音乐单曲播放界面，我们可以看到当我们翻页的时候网址是没有变化的，这时候我们大致可以确定评论是通过post形式加载的；
2.接下来就打开控制台找我们要的评论藏在哪里就好了。
我们在http://music.163.com/weapi/v1/resource/comments/R_SO_4_32019002?csrf_token=发现了我们要的评论，包括热门评论，我们注意看下R_SO_4_后面的数字，其实就是每首歌的id，如果我们想一次性爬取多首歌曲的评论的话，可以通过每次传入歌曲id来实现;
- 我们接下来看下需要post的数据，有两个值params和encSecKey，本以为就是页码之类的，看到这两个值我其实是懵逼的，很显然是加密过了的，不过我不知道他是怎么加密的，后面在知乎上找到了解决方法，各位可以去知乎看看，我就不赘述了，因为我也没看明白……;
代码部分
加密
前文说了，这部分参考了知乎的一位答主，各位可以去知乎看看，我这边只是稍微改了下就拿来用了，点这里跳转；
first_param = '{rid:"", offset:"0", total:"true", limit:"20", csrf_token:""}'
second_param = "010001"
third_param = "00e0b509f6259df8642dbc35662901477df22677ec152b5ff68ace615bb7b725152b3ab17a876aea8a5aa76d2e417629ec4ee341f56135fccf695280104e0312ecbda92557c93870114af6c9d05c4f7f0c3685b7a46bee255932575cce10b424d813cfe4875d3e82047b97ddef52741d546b8e289dc6935b3ece0462db0a22b8e7"
forth_param = "0CoJUm6Qyw8W8jud"
def get_params(i):
if i == 0:
first_param = '{rid:"", offset:"0", total:"true", limit:"20", csrf_token:""}'
else:
offset =str(i*20)
first_param = '{rid:"", offset:"%s", total:"%s", limit:"20", csrf_token:""}'%(offset,'flase')
iv = "0102030405060708"
first_key = forth_param
second_key = 16 * 'F'
h_encText = AES_encrypt(first_param, first_key, iv)
h_encText = AES_encrypt(h_encText, second_key, iv)
return h_encText
def get_encSecKey():
encSecKey = "257348aecb5e556c066de214e531faadd1c55d814f9be95fd06d6bff9f4c7a41f831f6394d5a3fd2e3881736d94a02ca919d952872e7d0a50ebfa1769a7a62d512f5f1ca21aec60bc3819a9c3ffca5eca9a0dba6d6f7249b06f5965ecfff3695b54e1c28f3f624750ed39e7de08fc8493242e26dbc4484a01c76f739e135637c"
return encSecKey
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)
encrypt_text = base64.b64encode(encrypt_text)
return encrypt_text
获取页码以及评论
获取页码数是为了加入循环获取每页的评论，代码如下；
def get_json(url, params, encSecKey):
data = {
"params": params,
"encSecKey": encSecKey
}
response = requests.post(url, headers=headers, data=data,proxies = proxies)
return response.content
def get_page(url):
params = get_params(0);
encSecKey = get_encSecKey();
json_text = get_json(url, params, encSecKey)
json_dict = json.loads(json_text)
total_comment = json_dict['total']
page=(total_comment/20)+1
print '***查询到评论共计%d条,%d页***'%(total_comment,page)
return page
最后就是把json数据按照你想要的保存下来就好了，如果只想要热门评论的话，把comments改成hotcomments就好了。
完整代码如下：
#coding = utf-8
from Crypto.Cipher import AES
import base64
import requests
import json
import time
import pandas as pd
import random
headers = {
'Referer': 'http://music.163.com/song?id=531051217',
'User-Agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36',
'Cookie': 'JSESSIONID-WYYY=%5CuiUi%5C%2FYs%2FcJcoQ5xd3cBhaHw0rEfHkss1s%2FCfr92IKyg2hJOrJquv3fiG2%2Fn9GZS%2FuDH8PY81zGquF4GIAVB9eYSdKJM1W6E2i1KFg9%5CuZ4xU6VdPCGwp4KOUZQQiWSlRT%2F1r07OmIBn7yYVYN%2BM2MAalUQnoYcyskaXN%5CPo1AOyVVV%3A1516866368046; _iuqxldmzr_=32; _ntes_nnid=7e2e27f69781e78f2c610fa92434946b,1516864568068; _ntes_nuid=7e2e27f69781e78f2c610fa92434946b; __utma=94650624.470888446.1516864569.1516864569.1516864569.1; __utmc=94650624; __utmz=94650624.1516864569.1.1.utmcsr=baidu|utmccn=(organic)|utmcmd=organic; __utmb=94650624.8.10.1516864569'
}
proxies = {'http':'http://221.200.107.118','https':'http://116.2.25.251'}
first_param = '{rid:"", offset:"0", total:"true", limit:"20", csrf_token:""}'
second_param = "010001"
third_param = "00e0b509f6259df8642dbc35662901477df22677ec152b5ff68ace615bb7b725152b3ab17a876aea8a5aa76d2e417629ec4ee341f56135fccf695280104e0312ecbda92557c93870114af6c9d05c4f7f0c3685b7a46bee255932575cce10b424d813cfe4875d3e82047b97ddef52741d546b8e289dc6935b3ece0462db0a22b8e7"
forth_param = "0CoJUm6Qyw8W8jud"
def get_params(i):
if i == 0:
first_param = '{rid:"", offset:"0", total:"true", limit:"20", csrf_token:""}'
else:
offset =str(i*20)
first_param = '{rid:"", offset:"%s", total:"%s", limit:"20", csrf_token:""}'%(offset,'flase')
iv = "0102030405060708"
first_key = forth_param
second_key = 16 * 'F'
h_encText = AES_encrypt(first_param, first_key, iv)
h_encText = AES_encrypt(h_encText, second_key, iv)
return h_encText
def get_encSecKey():
encSecKey = "257348aecb5e556c066de214e531faadd1c55d814f9be95fd06d6bff9f4c7a41f831f6394d5a3fd2e3881736d94a02ca919d952872e7d0a50ebfa1769a7a62d512f5f1ca21aec60bc3819a9c3ffca5eca9a0dba6d6f7249b06f5965ecfff3695b54e1c28f3f624750ed39e7de08fc8493242e26dbc4484a01c76f739e135637c"
return encSecKey
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)
encrypt_text = base64.b64encode(encrypt_text)
return encrypt_text
def get_json(url, params, encSecKey):
data = {
"params": params,
"encSecKey": encSecKey
}
response = requests.post(url, headers=headers, data=data,proxies = proxies)
return response.content
def get_page(url):
params = get_params(0);
encSecKey = get_encSecKey();
json_text = get_json(url, params, encSecKey)
json_dict = json.loads(json_text)
total_comment = json_dict['total']
page=(total_comment/20)+1
print '***查询到评论共计%d条,%d页***'%(total_comment,page)
return page
if __name__ == "__main__":
start_time = time.time()
url = "http://music.163.com/weapi/v1/resource/comments/R_SO_4_32019002?csrf_token="
page = get_page(url)
for i in range(page):
params = get_params(i);
encSecKey = get_encSecKey();
json_text = get_json(url, params, encSecKey)
json_dict = json.loads(str(json_text))['comments']
for t in list(range(len(json_dict))):
if t == 0:
rdata=pd.DataFrame(pd.Series(data=json_dict[t])).T
else:
rdata=pd.concat([rdata,pd.DataFrame(pd.Series(data=json_dict[t])).T])
if i == 0:
commentdata=rdata
else:
commentdata=pd.concat([commentdata,rdata])
print('***正在保存第%d页***'%(i+1))
time.sleep(random.uniform(0.2,0.5))
commentdata.to_excel('NetEase_Music_Spider.xls',sheet_name='sheet1')
end_time = time.time()
print "程序耗时%f秒." % (end_time - start_time)
print '***NetEase_Music_Spider@Awesome_Tang***'
本次爬的是最近一直循环的<beautiful now--Zedd/Jon Bellion>，评论共计37429条,1872页，程序耗时1036.046966秒，接近20分钟。
Notes
各位爬的时候一定要使用代理IP，我后面准备爬周董最近的新歌<等你下课>的评论的，爬到5000多页也就是差不多10W条的时候，被封IP了，导致我们整个公司的网络都一段时间内不能访问网易云音乐的评论，包括手机连Wi-Fi...
Peace~
