image.png
年前写过一篇爬网易云音乐评论的文章，爬不了多久又回被封，所以爬下来那么点根本做不了什么分析，后面就再改了下，加入了多线程，一次性爬一个歌手最热门50首歌曲的评论，算是进阶版了～
思路梳理进入歌手页可以看到展示了该歌手的「热门50单曲」，通过BeautifulSoup获取到song_id和song_name；
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Notes：
不过这里有一点需要注意，一般像平常我都会选择request或者urllib获取到页面代码，然后通过BeautifulSoup提取我们需要的数据，但去尝试了之后发现歌曲id等都是动态加载的，而像request请求操作都是瞬间完成，并不会等待页面完成加载了再获取页面代码，所以后面便使用了最安全的selenium+BeautifulSoup来获取song_id和song_name。def get_song_id(url):
driver=webdriver.PhantomJS()
driver.get(url)
time.sleep(2)
driver.switch_to_frame('g_iframe')
time.sleep(5)
web_data = driver.page_source
soup=BeautifulSoup(web_data,'lxml')
top_50_song=soup.find_all('tr', class_='even ')
driver.quit()
return top_50_song有了song_id之后就好做了，之前的文章中已经说过了，每个歌曲的评论是通过一个包含song_id的地址传递的，然后加入多线程分别保存50首歌曲，然后等着被封或者完成就好了def save_comment(song_id,song_name):
url_comment = '/weapi/v1/resource/comments/R_SO_4_'+str(song_id)+'?csrf_token='
page = get_page(url_comment,song_name)
if page == 0:
print 'IP地址被封，请稍后再试！！！'
else:
for i in range(page):
try:
params = get_params(i);
encSecKey = get_encSecKey();
json_text = get_json(url_comment, 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>>%s<<第%d页***'%(song_name.encode('utf-8'),i+1)
time.sleep(random.uniform(0.2,0.5))
path = song_name.encode('utf-8')+'.xlsx'
except Exception, e:
print 'IP地址被封，%s未保存完全！！！'%song_name.encode('utf-8')
commentdata.to_excel(path)
其他部分在上篇文章已经说过了，包括加密部分，可移步
Python爬虫爬取网易云音乐全部评论查看。
完整代码：# -*- coding: utf-8 -*-
#date : -02-28
#author : Awesome_Tang
#version : Python 2.7.9
'''
网易云音乐评论爬虫
'''
from Crypto.Cipher import AES
import base64
import requests
import json
import time
import pandas as pd
import random
from threading import Thread
from bs4 import BeautifulSoup
from selenium import webdriver
import threading
headers = {
'Referer': '/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 = { "https": "218.94.255.11:8118",
"http": "110.73.43.110:8123",}
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 ,timeout =5)
return response.content
def get_page(url,song_name):
params = get_params(0);
encSecKey = get_encSecKey();
json_text = get_json(url, params, encSecKey)
json_dict = json.loads(json_text)
try:
total_comment = json_dict['total']
page=(total_comment/20)+1
print '***查询到歌曲>>>%s<<<评论共计%d条,%d页***'%(song_name.encode('utf-8'),total_comment,page)
return page
except Exception, e:
return 0
def save_comment(song_id,song_name):
url_comment = '/weapi/v1/resource/comments/R_SO_4_'+str(song_id)+'?csrf_token='
page = get_page(url_comment,song_name)
if page == 0:
print 'IP地址被封，请稍后再试！！！'
else:
for i in range(page):
try:
params = get_params(i);
encSecKey = get_encSecKey();
json_text = get_json(url_comment, 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>>%s<<第%d页***'%(song_name.encode('utf-8'),i+1)
time.sleep(random.uniform(0.2,0.5))
path = song_name.encode('utf-8')+'.xlsx'
except Exception, e:
print 'IP地址被封，%s未保存完全！！！'%song_name.encode('utf-8')
commentdata.to_excel(path)
def get_song_id(url):
driver=webdriver.PhantomJS(executable_path='/Users/XXXXX/phantomjs-2.1.1-macosx/bin/phantomjs')
driver.get(url)
time.sleep(2)
driver.switch_to_frame('g_iframe')
time.sleep(5)
web_data = driver.page_source
soup=BeautifulSoup(web_data,'lxml')
top_50_song=soup.find_all('tr', class_='even ')
driver.quit()
return top_50_song
if __name__ == "__main__":
start_time = time.time()
url_artist = '/#/artist?id=46376'
top_50_song = get_song_id(url_artist)
thread_list = []
for song in top_50_song:
song_id = song.select('td.w1 div span.ply ')[0].get('data-res-id')
song_name = song.select('span.txt b')[0].get('title').replace(u'\xa0',u' ')
my_thread = threading.Thread(target=save_comment, args=(str(song_id),song_name))
my_thread.setDaemon(True)
thread_list.append(my_thread)
for my_thread in thread_list:
my_thread.start()
for my_thread in thread_list:
my_thread.join()
end_time = time.time()
print "程序耗时%f秒." % (end_time - start_time)
print '***NetEase_Music_Spider@Awesome_Tang***'
Peace～
