urllib库爬取51job

urllib库爬取51job

首先打开51job网页，分析网页结构，发现自己想要的字段全部在网页源码里，以json格式存储，且编码为‘gbk’

所以我们要通过正则表达式把它提取出来
代码如下：

url='https://search.51job.com/list/190200%252c040000,000000,0000,00,9,99,%25E5%25A4%25A7%25E6%2595%25B0%25E6%258D%25AE,2,{}.html?lang=c&postchannel=0000&workyear=99&cotype=99&degreefrom=99&jobterm=99&companysize=99&ord_field=0&dibiaoid=0&line=&welfare='
req=request.urlopen(url)
html=req.read().decode('gbk')
data=re.compile('window.__SEARCH_RESULT__ = (.*?)</script>',re.S)
newdata=re.findall(data,html)
#正则表达式会返回一个列表，所以要加索引，不然json无法解码
newhtml=json.loads(newdata[0])

拿到的json形式为字典形式，所以只要用for循环去遍历分析可以拿到我们想要的值了

 for h in range(0,len(newhtml['engine_search_result'])):
      key=newhtml['engine_search_result'][h]
      #拿到二级网址链接，并且请求
      href=key['job_href']
      rsp=request.urlopen(href)
      #爬取二级链接的时候发现decode（‘gbk’）会报错，
      #是因为二级链接下有些gbk不识别的字符，
      #所以加上errors = 'ignore'参数就好了不然会报错
      newhtml1=rsp.read().decode('gbk',errors = 'ignore')
      #使用xpth拿二级网址里的信息
      jobmessage=etree.HTML(newhtml1).xpath('/html/body/div[3]/div[2]/div[3]/div[1]/div//p/text()')
      jobmessage1=''
      for i in jobmessage:
          jobmessage1+=(i+'\n')
      jobadress=etree.HTML(newhtml1).xpath('/html/body/div[3]/div[2]/div[3]/div[2]/div/p/text()')
      print('工作名称：',key['job_name'])
      print('公司名称：',key['company_name'])
      print('工资：',key['providesalary_text'])
      print('城市：',key['workarea_text'])
      print('发布日期：',key['updatedate'])
      print('公司规模：',key['companytype_text']+'/'+key['companysize_text'])
      print('发布时间：',key['issuedate'])
      print('福利：',key['jobwelf'])
      print('工作要求',key['attribute_text'])
      print('职位信息',jobmessage1.replace(' ','').replace('\r\n',''))
      #有些信息里没有上班地址，所以我们加一个判断，不然xpath拿到为空的话会报错
      if jobadress==[]:
          print('上班地址：无')
      else:
          print('上班地址',jobadress[0])

这样使用urllib配合正则表达式和xapth爬取51job网就完成了
完整代码如下;

import re
import json
from lxml import etree
from urllib import request
def get_data(page):
    for i in range(1,page+1):
        url='https://search.51job.com/list/190200%252c040000,000000,0000,00,9,99,%25E5%25A4%25A7%25E6%2595%25B0%25E6%258D%25AE,2,{}.html?lang=c&postchannel=0000&workyear=99&cotype=99&degreefrom=99&jobterm=99&companysize=99&ord_field=0&dibiaoid=0&line=&welfare='.format(i)
        req=request.urlopen(url)
        html=req.read().decode('gbk')
        data=re.compile('window.__SEARCH_RESULT__ = (.*?)</script>',re.S)
        newdata=re.findall(data,html)
        newhtml=json.loads(newdata[0])
        print(newhtml)
        for h in range(0,len(newhtml['engine_search_result'])):
            key=newhtml['engine_search_result'][h]
            href=key['job_href']
            rsp=request.urlopen(href)
            newhtml1=rsp.read().decode('gbk',errors = 'ignore')
            # print(newhtml1)
            jobmessage=etree.HTML(newhtml1).xpath('/html/body/div[3]/div[2]/div[3]/div[1]/div//p/text()')
            jobmessage1=''
            for i in jobmessage:
                jobmessage1+=(i+'\n')
            jobadress=etree.HTML(newhtml1).xpath('/html/body/div[3]/div[2]/div[3]/div[2]/div/p/text()')
            print('工作名称：',key['job_name'])
            print('公司名称：',key['company_name'])
            print('工资：',key['providesalary_text'])
            print('城市：',key['workarea_text'])
            print('发布日期：',key['updatedate'])
            print('公司规模：',key['companytype_text']+'/'+key['companysize_text'])
            print('发布时间：',key['issuedate'])
            print('福利：',key['jobwelf'])
            print('工作要求',key['attribute_text'])
            print('职位信息',jobmessage1.replace(' ','').replace('\r\n',''))
            if jobadress==[]:
                print('上班地址：无')
            else:
                print('上班地址',jobadress[0])
        print('=='*20+'第{0}页第{1}条职位信息爬取完毕'.format(i,h)+'=='*20)
if __name__ == '__main__':
    page=int(input('请输入要爬取的页数:'))
    get_data(page)

注：本文章仅供参考学习

本文地址：https://blog.csdn.net/zp1534074749/article/details/109843836