代码很简单，一看就懂。
（没有模拟点击，所以都是未展开的）
地址：
/subject/26266893/reviews?rating=&start=0这里start就是后面参数变化的地方。一页20条，所以循环的话 每次start加20就好。代码：
import requests
from bs4 import BeautifulSoup
page=0
# url = '/subject/26266893/reviews?rating=&start='+str(page)
# s = requests.session()
# res = s.get(url).text
# soup = BeautifulSoup(res,'html.parser')
# comments = soup.find_all("div",class_="short-content")
# print (comments[2].get_text().replace("(展开)"," ").strip())
while 1:
url = '/subject/26266893/reviews?rating=&start=' + str(page)
s = requests.session()
res = s.get(url).text
soup = BeautifulSoup(res, 'html.parser')
comments = soup.find_all("div", class_="short-content")
with open('流浪地球.txt', 'a', encoding='gb18030', errors='ignore') as f:
for comment in comments:
str_comment = comment.get_text().replace("(展开)"," ").strip()
text = str_comment.replace("这篇影评可能有剧透"," ").strip()
f.write(text+"\n")
page+=20
生成词云代码：
# -*- coding: utf-8 -*-
from wordcloud import WordCloud
import matplotlib.pyplot as plt
import jieba
# 生成词云
def create_word_cloud(filename):
text = open("流浪地球.txt".format(filename), encoding='gb18030', errors='ignore').read()
# 结巴分词
wordlist = jieba.cut(text, cut_all=True)
wl = " ".join(wordlist)
# 设置词云
wc = WordCloud(
# 设置背景颜色
background_color="white",
# 设置最大显示的词云数
max_words=2000,
# 这种字体都在电脑字体中，一般路径
font_path='C:\Windows\Fonts\simfang.ttf',
height=1200,
width=1600,
# 设置字体最大值
max_font_size=100,
# 设置有多少种随机生成状态，即有多少种配色方案
random_state=30,
)
myword = wc.generate(wl) # 生成词云
# 展示词云图
plt.imshow(myword)
plt.axis("off")
plt.show()
wc.to_file('py_book_流浪地球.png') # 把词云保存下
if __name__ == '__main__':
create_word_cloud('word_py')
结果：
撸码千万条，简洁第一条。代码不规范，编译两行泪。
