帮我改个代码

from bs4 import BeautifulSoup#网页解析获取数据
import re#正则表达式，进行文字匹配
import urllib.request,urllib.error#指定url,获取数据
from urllib import parse
import xlwt#进行excel的操作
import requests
def main():
    baseurl = "https://search.51job.com/list/000000,000000,0000,00,9,99,"

    datalist = getdata(baseurl)
    savepath = "51job.xls"

    # 3.保存数据
    savedata(datalist, savepath)


def askurl(url):
    head = {  
        "User-Agent": "Mozilla / 5.0(Windows NT 10.0; Win64; x64) AppleWebKit / 537.36(KHTML, like Gecko) Chrome / 80.0.3987.122  Safari / 537.36"
    }
    # 用
    request = urllib.request.Request(url, headers=head)
    html = ""
    try:
        page_text = requests.get(url=url,headers=head).text
        # print(html)
    except urllib.error.URLError as e:
        if hasattr(e, "code"):
            print(e.code)
        if hasattr(e, "reason"):
            print(e.reason)
    return html#可以通用

jobHref = '"job_href":"(.*?)"'              #岗位链接
jobName = '"job_name":"(.*?)"'              #岗位名称
comHref = '"company_href":"(.*?)"'          #公司链接
comName = '"company_name":"(.*?)"'          #公司名称
salary = '"providesalary_text":"(.*?)"'     #薪资水平
companytype = '"companytype_text":"(.*?)"'  #公司类型
attribute = '"attribute_text":[(.*?)]'    #招聘条件
workarea = '"workarea_text":"(.*?)"'        #工作地点
companysize = '"companysize_text":"(.*?)"'  #公司规模
companyind = '"companyind_text":"(.*?)"'    #主要业务
jobwelf = '"jobwelf":"(.*?)"'               #福利待遇
def getdata(baseurl):
    kw = input("请输入你要搜索的岗位关键字：")
    keyword = parse.quote(parse.quote(kw))  # 对中文字进行转码
    pageNum = 0
    # 关键字二次转译
    for i in range(0, 10):
        datalist  = []
        pageNum += 1
        # 这个url是怎么搞的
        url = baseurl + keyword + ",2," + str(pageNum) + ".html"  # 按搜索干的规律"
        page_text = askurl(url)
        soup = BeautifulSoup(page_text, "html.parser")
        for item in soup.find_all("div", class_="e"):
            data=[]
            item =str(item)
            jobHref_list = re.findall(jobHref, page_text, re.S)
            data.append(jobHref_list)
            jobName_list = re.findall(jobName, page_text, re.S)
            data.append(jobName_list)
            comHref_list = re.findall(comHref, page_text, re.S)
            data.append(comHref_list)
            comName_list = re.findall(comName, page_text, re.S)
            data.append(comName_list)
            salary_list = re.findall(salary, page_text, re.S)
            data.append(salary_list)
            companytype_list = re.findall(companytype, page_text, re.S)
            data.append(companytype_list)
            attribute_list = re.findall(attribute, page_text, re.S)
            data.append(attribute_list)
            workarea_list = re.findall(workarea, page_text, re.S)
            data.append(workarea_list)
            companysize_list = re.findall(companysize, page_text, re.S)
            data.append(companysize_list)
            companyind_list = re.findall(companyind, page_text, re.S)
            data.append(companyind_list)
            jobwelf_list = re.findall(jobwelf, page_text, re.S)
            data.append(jobwelf_list)
        # for item in soup.find_all("div", class_="item"):
            datalist.append(data)
            if len(datalist[0]) == 0:
                print('没有搜索到职位信息')
                break
            else:
                print('正在爬取第%d页' % pageNum)


    return datalist



def savedata(datalist, savepath):
    book = xlwt.Workbook(encoding="utf-8", style_compression=0)  # 创建对象
    sheet = book.add_sheet('豆瓣电影Top250', cell_overwrite_ok=True)  # 创建工作表
    col = ("岗位链接", "岗位名称", "公司链接", "公司名称", "薪资水平", "公司类型", "招聘条件", "工作地点", '公司规模', '主要业务', '福利待遇')
    for i2 in range(0, 11):
        sheet.write(0, i2, col[i2])  # 列名

    for i in range(0,500):
        print("第%d条" % (i + 1))
        data = datalist[1]#应为datalist有250 条，且每一条，也是包含8条信息的列表
        for j in range(0,11):
            sheet.write(i+1,j,data[j])#数据
    book.save(savepath)




if __name__ == "__main__":          #当程序执行时
#调用函数
    main()