python爬取京东小爱音响评论

import requests
from bs4 import BeautifulSoup as bs
import re
import pandas as pd
from sqlalchemy import create_engine
from pandas.io.sql import to_sql as pd_sql
import pymysql
import random
import time


# 定义pandas存入mysql函数
def pandas_to_mysql(df_data, table_name, **kwargs):
    engine = create_engine(\'mysql+pymysql://{}:{}@{}:{}/{}?charset={}\'.format(kwargs[\'user\'],kwargs[\'password\'],kwargs[\'host\'],kwargs[\'port\'],kwargs[\'db\'],kwargs[\'charset\']))
    pd_sql(df_data, table_name, engine, index=False, if_exists=\'append\', chunksize=10000)  # if_exists: \'replace\', \'append\'
    engine.dispose()


db_local_hwdata = {\'user\':\'root\',
                    \'password\':\'8888\',
                    \'port\': 3306, 
                    \'host\':\'localhost\', 
                    \'db\': \'hwdata\', 
                    \'charset\': \'utf8mb4\'}

# 设置代理池
proxies = {
            \'http\':\'http://120.83.110.65:9999\', 
           \'http\':\'http://183.146.156.209:9999\', 
           \'http\':\'http://123.169.34.94:9999\',
           \'http\':\'http://117.57.90.141:9999\',
           \'http\':\'http://117.69.201.19:9999\',
           \'http\':\'http://117.95.192.240:9999\',
           \'http\':\'http://117.95.192.240:9999\',
           \'http\':\'http://163.204.244.161:9999\',
           \'http\':\'http://163.204.246.168:9999\',
           \'http\':\'http://171.35.160.62:9999\',
           \'http\':\'http://36.22.77.186:9999\',
           \'http\':\'http://120.83.107.184:9999\',
          }

url = \'https://sclub.jd.com/comment/productPageComments.action?callback=fetchJSON_comment98vv33766&productId=5239477&score=0&sortType=5&page=0&pageSize=10&isShadowSku=0&fold=1\'  # 商品链接
headers = {
    \'Referer\': \'https://item.jd.com/5239477.html\',
    \'User-Agent\': \'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36\'}
result = requests.get(url, headers=headers, proxies=proxies)
result_text = result.text
result_text = result_text.replace(\'\\n\', \'\')
comment_number = re.search(\'"commentCount":([\d]+),\', result_text, re.S).group(1)  # 所有评论的数量，用于分页，每页评论数量为10

# 遍历，10个评论一页
for page_i in range(0, int(int(comment_number)/10)):
    time.sleep(random.uniform(0.6, 4))
    url = f\'https://sclub.jd.com/comment/productPageComments.action?callback=fetchJSON_comment98vv33766&productId=5239477&score=0&sortType=5&page={page_i}&pageSize=10&isShadowSku=0&fold=1\'
    result = requests.get(url, headers=headers, proxies=proxies)
    result_text = result.text
    result_text = result_text.replace(\'\\n\', \'\')

    analyse_result = re.findall(\'"guid":"(.*?)",.*?"content":"(.*?)",.*?"creationTime":"(.*?)".*?"isDelete":(.*?),.*?"isTop":(.*?),.*?"replyCount":(.*?),.*?"score":(.*?),.*?"imageStatus":(.*?),.*?"usefulVoteCount":(.*?),.*?"userClient":(.*?),.*?"imageCount":(.*?),.*?"anonymousFlag":(.*?),.*?"plusAvailable":(.*?),.*?"productColor":"(.*?)".*?"imageIntegral".*?,(.*?)"status".*?,"referenceTime":"(.*?)".*?nickname":"(.*?)".*?"days":(.*?),.*?"afterDays":(.*?)}\', result_text, re.S)
    final_data = []
    
    for rt in analyse_result:
        person_data = []
        for ch_i, character in enumerate(rt):
            if ch_i == 14 and (character != \'\'):
                try:
                    character = re.search(\'"content":"(.*?)",\', character, re.S).group(1)
                except:
                    character = \'\'
            if ch_i == 18 and (int(character)< int(rt[-2])):
                character = \'\'
            person_data.append(character)
        final_data.append(person_data)
    dfanalyse_result = pd.DataFrame(final_data, columns=[\'commentUrl\', \'comment\', \'commentTime\', \'isDelete\', \'isTop\', \'replyCount\', \'stars\', \'imageFlag\', \'voteCount\', \'userClient\', \'imageCount\', \'anonymousFlag\', \'plusFlag\', \'productCatergory\', \'afterComment\', \'purchaseTime\', \'userName\', \'commentAfterBuyingTime\', \'afterCommentAfterBuyingTime\'])  # 将数据转换为DataFrame格式
    pandas_to_mysql(dfanalyse_result, \'w20191212jingdong_comments\', **db_local_hwdata)  # 存入mysql
    print(f\'page_i{page_i} finished!\')