Use Beautiful Soup recruitment website crawling data

import requests
from bs4 import BeautifulSoup
import pandas as pd
from pandas import DataFrame

url='https://search.51job.com/list/120300,000000,0000,32,9,99,%25E5%2589%258D%25E7%25AB%25AF%25E5%25BC%2580%25E5%258F%2591,2,1.html='
res=requests.get(url)
res.encoding='gbk'
soup=BeautifulSoup(res.text)
position_tag=soup.find_all('p',class_='t1')
# print(position_tag[2])
#获取职位
position=[]
for i in range(len(position_tag)):
position.append(position_tag[i].a['title'])
#获取公司
company_tag=soup.find_all('span',class_='t2')
company=[]
for i in range(len(company_tag)-1):
company.append(company_tag[1:][i].a['title'])
#获取地区
place_tag=soup.find_all('span',class_='t3')
place=[]
for i in range(len(place_tag)-1):
place.append(place_tag[1:][i].get_text())
#获取薪酬
salary_tag=soup.find_all('span',class_='t4')
salary=[]
for i in range(len(salary_tag)-1):
salary.append(salary_tag[1:][i].get_text())

= DataFrame JobInfo ([position, Company, Place, salary]). T
jobinfo.colums = [ 'job name', 'Company', 'region', 'pay']
Print (JobInfo)
jobinfo.describe ()