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如何利用Python爬取网易云音乐热门评论

本篇文章给大家分享的内容是如何利用Python爬取网易云音乐热门评论,有着一定的参考价值,有需要的朋友可以参考一下

以为没有搞明白,昨天晚上我带着这个问题去知乎搜索了一下,居然真的被我找到了答案。@平胸小仙女 这位知友详细说明了如何破解这两个参数的加密过程,我研究了一下,发现还是有点小复杂的,按照 知友 写的方法,我改动了一下,就成功得到了全部的评论。这里要对知乎@平胸小仙女 表示感谢。

到此为止,如何抓取网易云音乐的评论全部数据就全部讲完了。按照惯例,最后上代码,亲测有效:

#!/usr/bin/env python2.7   
# -*- coding: utf-8 -*-   
# @Time   : 2017/3/28 8:46   
# @Author : Lyrichu   
# @Email  : 919987476@qq测试数据   
# @File   : NetCloud_spider3.py   '''   
@Description:   
网易云音乐评论爬虫,可以完整爬取整个评论   
部分参考了@平胸小仙女的文章
来源:知乎
'''   from Crypto.Cipher import AES   
import base64   
import requests   
import json   
import codecs   
import time   
# 头部信息   
headers = {   
    'Host':"music.163测试数据",   
    'Accept-Language':"zh-CN,zh;q=0.8,en-US;q=0.5,en;q=0.3",   
    'Accept-Encoding':"gzip, deflate",   
    'Content-Type':"application/x-www-form-urlencoded",   
    'Cookie':"_ntes_nnid=754361b04b121e078dee797cdb30e0fd,1486026808627; _ntes_nuid=754361b04b121e078dee797cdb30e0fd; JSESSIONID-WYYY=yfqt9ofhY%5CIYNkXW71TqY5OtSZyjE%2FoswGgtl4dMv3Oa7%5CQ50T%2FVaee%2FMSsCifHE0TGtRMYhSPpr20i%5CRO%2BO%2B9pbbJnrUvGzkibhNqw3Tlgn%5Coil%2FrW7zFZZWSA3K9gD77MPSVH6fnv5hIT8ms70MNB3CxK5r3ecj3tFMlWFbFOZmGw%5C%3A1490677541180; _iuqxldmzr_=32; vjuids=c8ca7976.15a029d006a.0.51373751e63af8; vjlast=1486102528.1490172479.21; __gads=ID=a9eed5e3cae4d252:T=1486102537:S=ALNI_Mb5XX2vlkjsiU5cIy91-ToUDoFxIw; vinfo_n_f_l_n3=411a2def7f75a62e.1.1.1486349441669.1486349607905.1490173828142; P_INFO=m15527594439@163测试数据|1489375076|1|study|00&99|null&null&null#hub&420100#10#0#0|155439&1|study_client|15527594439@163测试数据; NTES_CMT_USER_INFO=84794134%7Cm155****4439%7Chttps%3A%2F%2Fsimg.ws.126.net%2Fe%2Fimg5.cache.netease测试数据%2Ftie%2Fimages%2Fyun%2Fphoto_default_62.png.39x39.100.jpg%7Cfalse%7CbTE1NTI3NTk0NDM5QDE2My5jb20%3D; usertrack=c+5+hljHgU0T1FDmA66MAg==; Province=027; City=027; _ga=GA1.2.1549851014.1489469781; __utma=94650624.1549851014.1489469781.1490664577.1490672820.8; __utmc=94650624; __utmz=94650624.1490661822.6.2.utmcsr=baidu|utmccn=(organic)|utmcmd=organic; playerid=81568911; __utmb=94650624.23.10.1490672820",   
    'Connection':"keep-alive",   
    'Referer':'http://music.163测试数据/'   }
# 设置代理服务器
  proxies= {   
            'http:':'http://121.232.146.184',   
            'https:':'https://144.255.48.197'   
        }
# offset的取值为:
(评论页数-1)*20,total第一页为true,其余页为false   # first_param = '{rid:"", offset:"0", total:"true", limit:"20", csrf_token:""}' 
# 第一个参数   second_param = "010001" 
# 第二个参数   
# 第三个参数   third_param = "00e0b509f6259df8642dbc35662901477df22677ec152b5ff68ace615bb7b725152b3ab17a876aea8a5aa76d2e417629ec4ee341f56135fccf695280104e0312ecbda92557c93870114af6c9d05c4f7f0c3685b7a46bee255932575cce10b424d813cfe4875d3e82047b97ddef52741d546b8e289dc6935b3ece0462db0a22b8e7"   
# 第四个参数   forth_param = "0CoJUm6Qyw8W8jud"   
# 获取参数   def get_params(page): 
# page为传入页数   
    iv = "0102030405060708"   
    first_key = forth_param   
    second_key = 16 * 'F'   
    if(page == 1): # 如果为第一页   
        first_param = '{rid:"", offset:"0", total:"true", limit:"20", csrf_token:""}'   
        h_encText = AES_encrypt(first_param, first_key, iv)   
    else:   
        offset = str((page-1)*20)   
        first_param = '{rid:"", offset:"%s", total:"%s", limit:"20", csrf_token:""}' %(offset,'false')   
        h_encText = AES_encrypt(first_param, first_key, iv)   
    h_encText = AES_encrypt(h_encText, second_key, iv)   
    return h_encText  
# 获取 encSecKey   
def get_encSecKey():   
    encSecKey = "257348aecb5e556c066de214e531faadd1c55d814f9be95fd06d6bff9f4c7a41f831f6394d5a3fd2e3881736d94a02ca919d952872e7d0a50ebfa1769a7a62d512f5f1ca21aec60bc3819a9c3ffca5eca9a0dba6d6f7249b06f5965ecfff3695b54e1c28f3f624750ed39e7de08fc8493242e26dbc4484a01c76f739e135637c"   
    return encSecKey   
# 解密过程  
 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  
# 获得评论json数据  
def get_json(url, params, encSecKey):   
    data = {   
         "params": params,   
         "encSecKey": encSecKey   
    }   
    response = requests.post(url, headers=headers, data=data,proxies = proxies)   
    return response.content
# 抓取热门评论,返回热评列表   
def get_hot_comments(url):   
    hot_comments_list = []   
    hot_comments_list.append(u"用户ID 用户昵称 用户头像地址 评论时间 点赞总数 评论内容")   
    params = get_params(1) # 第一页   
    encSecKey = get_encSecKey()   
    json_text = get_json(url,params,encSecKey)   
    json_dict = json.loads(json_text)   
    hot_comments = json_dict['hotComments'] # 热门评论   
    print("共有%d条热门评论!" % len(hot_comments))   
    for item in hot_comments:   
            comment = item['content'] # 评论内容   
            likedCount = item['likedCount'] # 点赞总数   
            comment_time = item['time'] # 评论时间(时间戳)   
            userID = item['user']['userID'] # 评论者id   
            nickname = item['user']['nickname'] # 昵称   
            avatarUrl = item['user']['avatarUrl'] # 头像地址   
            comment_info = userID + " " + nickname + " " + avatarUrl + " " + comment_time + " " + likedCount + " " + comment + u""   
            hot_comments_list.append(comment_info)   
    return hot_comments_list     
 # 抓取某一首歌的全部评论   
def get_all_comments(url):   
    all_comments_list = [] # 存放所有评论   
    all_comments_list.append(u"用户ID 用户昵称 用户头像地址 评论时间 点赞总数 评论内容") # 头部信息   
    params = get_params(1)   
    encSecKey = get_encSecKey()   
    json_text = get_json(url,params,encSecKey)   
    json_dict = json.loads(json_text)   
    comments_num = int(json_dict['total'])   
    if(comments_num % 20 == 0):   
        page = comments_num / 20   
    else:   
        page = int(comments_num / 20) + 1   
    print("共有%d页评论!" % page)   
    for i in range(page):  # 逐页抓取   
        params = get_params(i+1)   
        encSecKey = get_encSecKey()   
        json_text = get_json(url,params,encSecKey)   
        json_dict = json.loads(json_text)   
        if i == 0:   
            print("共有%d条评论!" % comments_num) # 全部评论总数   
        for item in json_dict['comments']:   
            comment = item['content'] # 评论内容   
            likedCount = item['likedCount'] # 点赞总数   
            comment_time = item['time'] # 评论时间(时间戳)   
            userID = item['user']['userId'] # 评论者id   
            nickname = item['user']['nickname'] # 昵称   
            avatarUrl = item['user']['avatarUrl'] # 头像地址   
            comment_info = unicode(userID) + u" " + nickname + u" " + avatarUrl + u" " + unicode(comment_time) + u" " + unicode(likedCount) + u" " + comment + u""   
            all_comments_list.append(comment_info)   
        print("第%d页抓取完毕!" % (i+1))   
    return all_comments_list
# 将评论写入文本文件
def save_to_file(list,filename):   
        with codecs.open(filename,'a',encoding='utf-8') as f:   
            f.writelines(list)   
        print("写入文件成功!")   
if __name__ == "__main__":   
    start_time = time.time() # 开始时间   
    url = "http://music.163测试数据/weapi/v1/resource/comments/R_SO_4_186016/?csrf_token="   
    filename = u"晴天.txt"   
    all_comments_list = get_all_comments(url)   
    save_to_file(all_comments_list,filename)   
    end_time = time.time() #结束时间   
    print("程序耗时%f秒." % (end_time - start_time)) 

注意我是按照空格来分隔的,每一行分别有 用户ID 用户昵称 用户头像地址 评论时间 点赞总数 评论内容 这些内容。同学们 自己跑代码抓取的时候,注意不要开太多线程给网易云的服务器太大压力哦 (中间有一段时间服务器返回数据特别慢,不知道是不是限制访问了,后来又好了) 。我后面也许会自己去对评论数据进行可视化分析,敬请期待!

附录: 那些让人心动的评论

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