一、将代码放入pycharm
以下标红的地方可能会出现问题，那是因为你没有这个安装包
根据下面的步骤安装
代码如下：
# 程序功能：爬豆瓣电影上指定电影的短评
# 原创作者：马哥python说
import requests
from bs4 import BeautifulSoup
import pandas as pd
import os
import random
from time import sleep
import pymysql
# 请求头
h1 = {
'Cookie': 'll="108309"; bid=Me0AOgr-hLE; __utma=30149280.1794767935.1702823028.1702823028.1702823028.1; __utmc=30149280; __utmz=30149280.1702823028.1.1.utmcsr=cn.bing.com|utmccn=(referral)|utmcmd=referral|utmcct=/; __utmb=30149280.1.10.1702823028; __utma=223695111.668481595.1702823036.1702823036.1702823036.1; __utmb=223695111.0.10.1702823036; __utmc=223695111; __utmz=223695111.1702823036.1.1.utmcsr=cn.bing.com|utmccn=(referral)|utmcmd=referral|utmcct=/; _pk_ref.100001.4cf6=%5B%22%22%2C%22%22%2C1702823036%2C%22https%3A%2F%2Fcn.bing.com%2F%22%5D; _pk_id.100001.4cf6=88192bd6fadc2c98.1702823036.; _pk_ses.100001.4cf6=1; ap_v=0,6.0; _vwo_uuid_v2=D95348D3B6ABB211449A744F64EFB7A2C|8187f85b5505a6cd252bb47eecb59ad6; __yadk_uid=7vjVvsySJaC49VGXlGZ0qFGiPP7jme1g',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
'Accept-Encoding': 'gzip, deflate',
'Host': 'movie.douban.com',
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/15.4 Safari/605.1.15',
'Accept-Language': 'zh-CN,zh-Hans;q=0.9',
'Referer': 'https://movie.douban.com/subject/35267224/?from=showing',
'Connection': 'keep-alive'
}
def trans_star(v_str):
"""转换评论星级"""
v_str = v_str[0]
if v_str == 'allstar10':
return '1星'
elif v_str == 'allstar20':
return '2星'
elif v_str == 'allstar30':
return '3星'
elif v_str == 'allstar40':
return '4星'
elif v_str == 'allstar50':
return '5星'
else:
return '未知'
def get_short(v_movie_id):
"""爬取短评数据"""
for page in range(1, max_page + 1): # 爬取前n页
requests.packages.urllib3.disable_warnings()
# 请求地址
url = 'https://movie.douban.com/subject/{}/comments?start={}&limit=20&status=P&sort=new_score'.format(
v_movie_id, (page - 1) * 20)
# 发送请求
response = requests.get(url, headers=h1, verify=False)
print(response.status_code)
# 解析页面数据
soup = BeautifulSoup(response.text, 'html.parser')
# 所有评论数据
reviews = soup.find_all('div', {'class': 'comment'})
print('开始爬取第{}页，共{}条评论'.format(page, len(reviews)))
sleep(random.uniform(1, 2))
# 定义空列表用于存放数据
user_name_list = [] # 评论者昵称
star_list = [] # 评论星级
time_list = [] # 评论时间
ip_list = [] # 评论者ip属地
vote_list = [] # 有用数
content_list = [] # 评论内容
for review in reviews:
# 评论者昵称
user_name = review.find('span', {'class': 'comment-info'}).find('a').text
user_name_list.append(user_name)
# 评论星级
star = review.find('span', {'class': 'comment-info'}).find_all('span')[1].get('class')
star = trans_star(star)
star_list.append(star)
# 评论时间
time2 = review.find('span', {'class': 'comment-time'}).text.strip()
print('评论时间：', time2)
time_list.append(time2)
# 评论者IP属地
ip = review.find('span', {'class': 'comment-location'}).text
ip_list.append(ip)
# 有用数
vote = review.find('span', {'class': 'votes vote-count'}).text
vote_list.append(vote)
# 评论内容
content = review.find('span', {'class': 'short'}).text
content = content.replace(',', '，').replace(' ', '').replace('\n', '').replace('\t', '').replace('\r', '')
content_list.append(content)
df = pd.DataFrame(
{
'页码': page,
'评论者昵称': user_name_list,
'评论星级': star_list,
'评论时间': time_list,
'评论者IP属地': ip_list,
'有用数': vote_list,
'评论内容': content_list,
}
)
#orient = 'records', 表示将DateFrame的数据转换成我想要的json格式
data_json = df.to_dict(orient='records')
for dt in data_json:
print(dt)
sql = 'insert into douban_data values ("%s","%s","%s","%s","%s","%s","%s")' % (
dt['页码'], dt['评论者昵称'], dt['评论星级'], dt['评论时间'], dt['评论者IP属地'], dt['有用数'],
dt['评论内容'])
cursor.execute(sql) # 执行语句
db.commit()
# 设置csv文件表头
if os.path.exists(result_file):
header = False
else:
header = True
# 保存到csv文件
df.to_csv(result_file, mode='a+', header=header, index=False, encoding='utf_8_sig')
print('文件保存成功：', result_file)
# 定义sql语句
sql = 'insert into douban_data values ("%s","%s","%s","%s","%s","%s","%s")' % ("num", "name", "pingfen", "mingju", "mingju", "mingju", "mingju") #将后面括号里改为对应字段
cursor.execute(sql) # 执行语句
db.commit()
if __name__ == '__main__':
# 定义数据库
# host:地址 potr:端口 user:用户名 password:密码 db:数据库名 charset:编码
db = pymysql.connect(host="localhost", port=3306, user="root", password="****", db="douban", charset="utf8mb4")
cursor = db.cursor() # 创建游标
# 电影id
movie_id = '35556001'
# 最大爬取页
max_page = 1 # 最大为30页
# 保存文件名
result_file = '豆瓣短评_{}_前{}页.csv'.format(movie_id, max_page)
# 如果csv文件存在，先删除之
if os.path.exists(result_file):
os.remove(result_file)
print('结果文件存在，已删除: {}'.format(result_file))
# 循环爬取短评
get_short(movie_id)
（密码记得用自己的哦）
二、navicat新建数据库，建表的时候用"_date"结尾
三、运行代码结果如下即成功
四、navicat中结果如下
参考阅读
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