爬取网易云评论并制作词云，无需抓包

来一起看看《明天你好》的评论词云吧，利用Python爬取网易云音乐中相应歌曲的所有评论，并利用这些评论制作歌曲的专属词云。

《明天你好》评论词云

先来了解一下wordcloud个参数的意思

background_color='white', # 背景颜色
max_words=1000, # 最大词数
width=800, # 词云图片的宽度，默认400像素
height=600, # 词云图片的高度，默认200像素
font_path='.\simhei.TTF', # 词云指定字体文件的完整路径
mask=back_color, # 以该参数值作图绘制词云，这个参数不为空时，width和height会被忽略
max_font_size=80, # 词云图中最大的字体字号
min_font_size=20, # 词云图中最小的字体字号
mask=mask, # 词云形状，默认None，即方形图

http://music.163.com/api/v1/resource/comments/R_SO_4_33756016?limit=20&offset=0

相关模块：

requests模块、jieba模块、wordcloud模块、以及一些Python自带的模块。

import requests
import wordcloud
import json
import jieba
import numpy as np
from PIL import Image


headers = {
        'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.79 Safari/537.36'
         ,
         'Referer':'https://music.163.com/'
        }


def get_one_com(a):
    res = requests.get('http://music.163.com/api/v1/resource/comments/R_SO_4_33756016?limit=20&offset=%d'%a,headers=headers)
    data = res.json()
    comments = []
    for i in range(1,20):
        comment = data['comments'][i]['content']
#        print(comment)
        comments.append(comment)
    all_comments(comments,a)


def next_():
    for a in range(0,420,20):
#        print(a)
        get_one_com(a)


def all_comments(comments,a):    
    content = ''.join('%s' % i for i in comments)   
    com_list.append(content)   
#    print(com_list)
    if a == 400 :   
        wordcloud_comments(com_list)
        
    
def wordcloud_comments(comments):
    content = ''.join('%s' % i for i in comments)
#    print(content)
    con_cut = jieba.lcut(content)
    con_str = ' '.join(con_cut)
    
    mask = np.array(Image.open('pix.png'))
    
    w = wordcloud.WordCloud(background_color='white',font_path='msyhbd.ttc',mask=mask,max_words=300)
    w.generate(con_str)
    w.to_file("pywordcloud.png")
       
if __name__ == '__main__':
    com_list = []
    next_()

$\color{red}{欢迎大家评论和关注}$