Py之Crawler：基于requests库+json库实现爬取刘若英2018导演电影《后来的我们》的插曲《再见》张震岳的几十万热评+词云：发现“再见”亦是再也不见

Py之Crawler：基于requests库+json库实现爬取刘若英2018导演电影《后来的我们》的插曲《再见》张震岳的几十万热评+词云：发现“再见”亦是再也不见

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输出结果

背景图片

实现代码

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

#Py之Crawler：爬取刘若英2018导演电影《后来的我们》的插曲《再见》张震岳的几十万热评，发现

import requests
import json

url = 'http://music.163.com/weapi/v1/resource/comments/R_SO_4_185726?csrf_token='

headers = {
    'User-Agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Safari/537.36',
    'Referer':'http://music.163.com/song?id=185726',
    'Origin':'http://music.163.com',
    'Host':'music.163.com'
}

response = requests.post(url,headers=headers,data=user_data)

data = json.loads(response.text)
hotcomments = []
for hotcommment in data['hotComments']:
    item = {
        'nickname':hotcommment['user']['nickname'],
        'content':hotcommment['content'],
        'likedCount':hotcommment['likedCount']
    }
    hotcomments.append(item)

#获取评论用户名，内容，以及对应的获赞数
content_list = [content['content'] for content in hotcomments]
nickname = [content['nickname'] for content in hotcomments]
liked_count = [content['likedCount'] for content in hotcomments]

#生成图表与词云图
from pyecharts import Bar

bar = Bar("刘若英2018导演电影《后来的我们》的插曲《再见》最新热评——点赞数示例图")
bar.add( "",nickname, liked_count, is_stack=True,mark_line=["min", "max"],mark_point=["average"])
bar.render()

from wordcloud import WordCloud
import matplotlib.pyplot as plt
from scipy.misc import imread

content_text = " ".join(content_list)

bg_pic = imread('F:/File_Python/Resources/heibai04.jpg')
wordcloud = WordCloud(font_path=r"C:\Windows\Fonts\STXINGKA.TTF",max_words=2500,background_color="white",mask=bg_pic,scale=5).generate(content_text)  #,max_words=1200,width=1800, height=1200

wordcloud.to_file('zaijian.jpg')  #保存词云图

plt.figure()
plt.imshow(wordcloud,interpolation='bilinear')
plt.axis('off')
plt.show()

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Py之Crawler：爬取刘若英2018导演电影《后来的我们》的插曲《再见》张震岳的几十万热评，发现“再见”亦然是再也不见