新发地市场价格爬取

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import requests
from lxml import etree
from time import sleep
from fake_useragent import UserAgent
import pandas as pd

name_all = []
min_price_all = []
mean_price_all = []
max_price_all = []
guige_all = []
unit_all = []
data_all = []


for i in range(13902):
    print(i)
    UA = UserAgent().edge
    url_base='http://www.xinfadi.com.cn/marketanalysis/0/list/{}.shtml'
    url = 'http://www.xinfadi.com.cn/marketanalysis/0/list/{}.shtml'.format(i+1)
    headers={
    
    
        'User-Agent':UA
    }
    response=requests.get(url,headers=headers)
    sleep(3)
 #   print(response.text)
 #   print(response.encoding)
    e = etree.HTML(response.text)
    name = e.xpath('''//table[@class='hq_table']/tr[position()>1]/td[1]/text()''')
    min_price = e.xpath('''//table[@class='hq_table']/tr[position()>1]/td[2]/text()''')
    mean_price = e.xpath('''//table[@class='hq_table']/tr[position()>1]/td[3]/text()''')
    max_price = e.xpath('''//table[@class='hq_table']/tr[position()>1]/td[4]/text()''')
    guige = e.xpath('''//table[@class='hq_table']/tr[position()>1]/td[5]/text()''')
    unit = e.xpath('''//table[@class='hq_table']/tr[position()>1]/td[6]/text()''')
    data = e.xpath('''//table[@class='hq_table']/tr[position()>1]/td[7]/text()''')

    name_all = name_all+name
    min_price_all = min_price_all+min_price
    mean_price_all = mean_price_all+mean_price
    max_price_all=max_price_all+max_price
    guige_all = guige_all+guige
    unit_all = unit_all+unit
    data_all=data_all+data
    if i % 300 == 0:
        all_info = {
    
    
                    '名称': name_all,
                    '最低价格': min_price_all,
                    '平均价格': mean_price_all,
                    '最高价格': max_price_all,
                    '规格': guige_all,
                    '单位':unit_all,
                    '日期':data_all
                }
        outdata = pd.DataFrame(all_info)
        outdata.to_csv('C:\\Users\\Admin\\PycharmProjects\\untitled\\新发地市场价格.csv', encoding='GBK')