豆瓣网是一家基于用户对于图书、电影和音乐兴趣而搭建的社交网站。爬取豆瓣网上面的电影评论数据具有很重要的作用。电影评论数据是NLP（自然语言处理）的结果，通过电影评论数据集可以进一步做中文分词、命名实体识别、关键词提取、句法分析、文本向量化、情感分析、舆情分析等进一步的数据处理和应用。和天启IP一起看看怎么爬取豆瓣影评吧~

from urllib import request

import time

import re

import os

os.mkdir(r’C:\Users*\Desktop\PYhomework\c800’)

search_counts = 800

url = ‘https://movie.douban.com/subject/2353023/reviews’

headers = {***}

headers[‘Referer’] = ‘https://movie.douban.com/subject/***/’

i = 0

lists = []

for count in range(0, search_counts, 20):

url = url + "?start=" + str(count)

req = request.Request(url, headers=headers)

response = request.urlopen(req)

HTML = response.read()

HTML = HTML.decode("utf-8")

pattern = re.compile("<div data-cid=\"(.*)\">")

lists = pattern.findall(HTML) + lists

'''爬取实际评论'''

headers[

‘Cookie’] = ‘***’

headers[‘Host’] = ‘movie.douban.com’

headers[‘Sec-Fetch-Dest’] = ‘document’

headers[‘Sec-Fetch-Mode’] = ‘navigate’

headers[‘Sec-Fetch-Site’] = ‘none’

headers[‘Sec-Fetch-User’] = ‘?1’

headers[‘Upgrade-Insecure-Requests’] = ‘1’

print(‘爬取成功！’)

for id in lists:

i += 1

url = 'https://movie.douban.com/j/review/' + id + '/full'

req = request.Request(url, headers=headers)

response = request.urlopen(req)

comment = response.read()

comment = comment.decode("utf-8")

with open(r"C:\Users\*\Desktop\PYhomework\c800\comment%d.txt" % i, mode="w", encoding="utf-8") as c:

    c.write(comment)

    print("comment%d保存成功！" % i)

time.sleep(0)  # 随缘设置

print(“抓取完成！”)