目录
一、获取网易云歌曲的url二、发送请求获取json三、生成词云一、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：
/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_AL_3_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 requestsimport jsonimport timefrom wordcloud import WordCloud, ImageColorGeneratorfrom PIL import Imageimport matplotlib.pyplot as pltimport numpy as npheaders = {"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:passdef 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': "",'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 = 1for 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 += 1response = 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 = "/weapi/v1/resource/comments/R_AL_3_36957040?csrf_token="comments_url = "/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)
