一、获取网易云歌曲的url

1、进入网页版网易云音乐，选择一首歌曲，进去评论区

2、接着F12进入开发者控制台（审查元素），我们在搜索框里输入comments即可找到对应的获取评论的api的url，点击它在右边选择Response就可以看到返回的json了。
（右边进入Network->输入comments->左边选中评论->右边选择Response就可以看到返回数据了）

3、我们只需要分析这个api并模拟发送请求，获取json进行解析就好了。右键复制这个url下来：

https://music.163.com/weapi/v1/resource/comments/R_AL_3_36957040?csrf_token=2197fea5ca02ab0af26a1bbf2f79831a

4、从浏览器的上的地址可以发现以上url里R_SO_4_后的数字就是歌曲的id，如下图：

5、在开发者控制台里，点击Headers就可以看到请求方式为post，请求头里的表单数据有两个加过密的参数（params和encSecKey）。经测试，每一页面的加密参数都不同，这里会影响我们爬取；不过对于我们爬取热门评论，第一页就够了。

二、发送请求获取json

0 总项目目录及需要的库：

1 解析url内容：
def parse_comments_json(comments_list, path):

2 获取热评：
def get_wangyiyun_hotcomments(url, path):

存入txt：

3 获取更多评论：

具体不知道有多少评论（我任意在1024条记录中取1024/20）

def draw_wordcloud(path):

三、生成词云

4def draw_wordcloud(path):

左：热评、右：全部评论：（有点伤感了~）

全部源码：

# -*- coding:utf-8 -*-

import requests
import json
import time
from wordcloud import WordCloud, ImageColorGenerator
from PIL import Image
import matplotlib.pyplot as plt
import numpy as np

headers = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.84 Safari/537.36",
}  # 模拟访问网页


def parse_comments_json(comments_list, path):  # 获得接口，解析评论接口

    for hotComments in comments_list:
        print("==============================================")
        user_icon = hotComments.get('user').get('avatarUrl')
        print("user_icon: ", user_icon)

        userId = hotComments.get('user').get('userId')
        print("userId: ", userId)

        user_nickname = hotComments.get('user').get('nickname')
        print("user_nickname: ", user_nickname)

        comment_time = hotComments.get('time')
        print("comment_time: ", comment_time)
        comment_time = time.strftime(
            "%Y-%m-%d %H:%M:%S", time.gmtime(float(comment_time) / 1000))
        print(comment_time)

        comment_content = hotComments.get('content')
        print("comment_content: ", comment_content)

        zan_count = hotComments.get('likedCount')
        print("zan_count: ", zan_count)

        try:
            # 读写文件
            with open(path, 'a+', encoding='utf-8') as f:
                f.write(comment_content + "\n")  # 记录全部评论
                # f.write("\n user_icon: " + user_icon + "\n userId: " + str(userId) + "\n user_nickname: " + user_nickname + "\n comment_time: " +
                # comment_time + "\n comment_content: " + comment_content + "\n
                # zan_count: " + str(zan_count) + "\n")
        except Exception as e:
            pass


def get_wangyiyun_hotcomments(url, path):  # 获取热评
    data = {'params': 'D33zyir4L/58v1qGPcIPjSee79KCzxBIBy507IYDB8EL7jEnp41aDIqpHBhowfQ6iT1Xoka8jD+0p44nRKNKUA0dv+n5RWPOO57dZLVrd+T1J/sNrTdzUhdHhoKRIgegVcXYjYu+CshdtCBe6WEJozBRlaHyLeJtGrABfMOEb4PqgI3h/uELC82S05NtewlbLZ3TOR/TIIhNV6hVTtqHDVHjkekrvEmJzT5pk1UY6r0=',
            'encSecKey': '45c8bcb07e69c6b545d3045559bd300db897509b8720ee2b45a72bf2d3b216ddc77fb10daec4ca54b466f2da1ffac1e67e245fea9d842589dc402b92b262d3495b12165a721aed880bf09a0a99ff94c959d04e49085dc21c78bbbe8e3331827c0ef0035519e89f097511065643120cbc478f9c0af96400ba4649265781fc9079'}
    resp = requests.post(url, data=data, headers=headers)
    comments_dict = json.loads(resp.text)
    hotComments_list = comments_dict.get('hotComments')
    print(hotComments_list)
    parse_comments_json(hotComments_list, path)


def get_wangyiyu_comments(url, path):  # 获取全部评论
    header = {
        'Accept': "*/*",
        'Accept-Language': "zh-CN,zh;q=0.9",
        'Connection': "keep-alive",
        'Host': "music.163.com",
        'User-Agent': "Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.79 Safari/537.36"
    }

    n = 1
    for i in range(0, 1024, 20):  # 只打印0到1024中能被20整除的数(不一定有这么多)
        param = {
            'limit': str(i),
            'offset': str(n * 20 - 1)
        }
        n += 1
        response = requests.post(url, headers=header, params=param)
        comments_dict = json.loads(response.text)
        comments_list = comments_dict.get('comments')
        print(comments_list)
        parse_comments_json(comments_list, path=path)


def draw_wordcloud(path):  # 制作评论词云
    bg_mask = np.array(Image.open('back.jpg'))
    text = open(path, encoding='utf-8').read()
    my_wordcloud = WordCloud(background_color='white',  # 设置背景颜色
                             mask=bg_mask,     # 设置背景图片
                             max_words=2000,    # 设置最大显示的字数
                             font_path='C:\\Windows\\Fonts\\simsun.ttc',      # 设置中文字体，使的词云可以显示
                             max_font_size=250,  # 设置最大字体大小
                             random_state=30,   # 设置有多少种随机生成状态， 即有多少种配色方案
                             )
    myword = my_wordcloud.generate(text)
    myword.to_file('cloud.jpg')
    plt.imshow(myword)
    plt.axis('off')
    plt.show()


if __name__ == '__main__':
    url = "https://music.163.com/weapi/v1/resource/comments/R_AL_3_36957040?csrf_token="
    comments_url = "http://music.163.com/api/v1/resource/comments/R_AL_3_36957040"
    path = 'comment.txt'
    get_wangyiyun_hotcomments(comments_url, path)  # 热评
    start_time = time.time()
    # get_wangyiyu_comments(comments_url, path)  # 全部评论
    end_time = time.time()
    print("程序耗时%f秒." % (end_time - start_time))
    draw_wordcloud(path)