python分析BOSS直聘的某个招聘岗位数据

房东的猫 提交于 2020-07-29 03:24:59

前言

毕业找工作,在职人员换工作,离职人员找工作……不管什么人群,应聘求职,都需要先分析对应的招聘岗位,岗位需求是否和自己匹配,常见的招聘平台有:BOSS直聘、拉钩招聘、智联招聘等,我们通常的方法都是,打开招聘网站,搜索职位关键字,然后一页一页的逐个查看,觉得还不错的岗位就投递一下简历,或者和招聘负责人聊一下,那么有没有办法,能一次性把相关的招聘岗位列出来,方便快速的分析,答案当然有的……

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我想做什么

最近我也在考虑新的工作机会,所以,为了方便才这么做的;下面给大家看个东西,打开后面的链接 BOSS直聘的100个PHP招聘岗位

可以看到,这是表格的形式展示了100个PHP的招聘岗位,没错,这就是我爬取的BOSS直聘网的PHP招聘岗位,为啥是100个呢,我也不敢问啊,毕竟BOSS直聘官网限制了10页,通过爬取数据,然后生成 markdown 表格文件,最后展示在有道分享中,就是上面大家看到的那个了,话不多说,开搞。

运行环境

Python运行环境:Windows + python3.6

用到的模块:  requests、bs4 

如未安装的模块,请使用 pip instatll xxxxxx 进行安装,例如: pip install requests


爬取Boss直聘数据

在这里,非常不建议大家使用自己的IP去爬取BOSS直聘的数据,因为分分钟就会进小黑屋了,所以,这里,我们走的代理IP,关于代理IP的,我在上篇文章,已经有说到过,大家不明白的可以回头看看;还有在 header 头传的 cookie 值是必传的,大家可以在浏览器中刷新BOSS直聘网站,然后打开 F12 的 Network 中找到,复制过来就能用,而且需要更换,不要一直用同个 cookie 去爬取全部数据,多尝试都懂的……

def get_url_html(self, url, cookie):
    """请求页面html""" ip_url = self.proxies_ip + ':' + str(self.proxies_port) proxies = {'http': 'http://' + ip_url, 'https': 'https://' + ip_url} header = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36', 'cookie': cookie } request = requests.get(url=url, headers=header, proxies=proxies, timeout=3) html = False if request.status_code == 200: html = request.content return html 复制代码

完整源码

老规矩,代码我已经上传了GitHub( GitHub源码地址 ),但是呢,作为一个热心的,为了方便部分人想偷懒,不直接去交友网站查看,我在这里也贴一下源码出来吧,如果有啥问题,最好还是去交友网站找我,请接码……

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""
利用requests+bs4爬取Boss直聘数据
author: gxcuizy
date: 2020-06-18
"""

import requests
from bs4 import BeautifulSoup class GetBossData(object): """爬取10页的Boss直聘职位数据""" domain = 'https://www.zhipin.com' base_url = 'https://www.zhipin.com/c101280600/?query=' position = '' # 代理IP地址 proxies_ip = '58.220.95.30' proxies_port = '10174' def __init__(self, position): self.position = position def get_url_html(self, url, cookie): """请求页面html""" ip_url = self.proxies_ip + ':' + str(self.proxies_port) proxies = {'http': 'http://' + ip_url, 'https': 'https://' + ip_url} header = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36', 'cookie': cookie } request = requests.get(url=url, headers=header, proxies=proxies, timeout=3) html = False if request.status_code == 200: html = request.content return html def run(self): """执行入口""" page_list = range(1, 11) # 打开文件,准备写入 dict_file = open('job.md', 'a', encoding='UTF-8') # 清空文件内容 dict_file.seek(0) dict_file.truncate() dict_file.write('| 岗位 | 区域 | 薪资 | 年限信息 | 公司名称 | 公司信息 | 链接 |') dict_file.write('\n| --- | --- | --- | --- | --- | --- | --- |') # 分页爬取数据 for page in page_list: print('开始爬取第' + str(page) + '页数据') boss_url = self.base_url + str(self.position) + '&page=' + str(page) + '&ka=page-' + str(page) # F12打开调试模式,手动刷新网页获取cookie,然后替换 if page < 4: cookie_val = 'lastCity=101280600; __zp_seo_uuid__=d59649f5-bc8a-4263-b4e1-d5fb1526ebbe; __c=1592469667; __g=-; Hm_lvt_194df3105ad7148dcf2b98a91b5e727a=1592469673; __l=l=%2Fwww.zhipin.com%2Fshenzhen%2F&r=https%3A%2F%2Fwww.google.com%2F&friend_source=0&friend_source=0; toUrl=https%3A%2F%2Fwww.zhipin.com%2F%2Fjob_detail%2F3f35305467e161991nJ429i4GA%7E%7E.html; __a=43955211.1592469667..1592469667.39.1.39.39; Hm_lpvt_194df3105ad7148dcf2b98a91b5e727a=1592530438; __zp_stoken__=7f3aaPCVBFktLe0xkP21%2BJSFCLWILSwx7NEw4bVJkRx8pdBE3JGNmWjVwdx5PXC8rHmN%2BJB0hX1UvTz5VPyMmOhIVHBglVzoxJQIdLQtKR3ZFBFIeazwOByVndHwXBAN%2FXFo7W2BffFxtXSU%3D; __zp_sseed__=Ykg0aQ3ow1dZqyi9KmeVnWrqZXcZ32a4psiagwqme3M=; __zp_sname__=93bf4835; __zp_sts__=1592530479301' elif page < 7: cookie_val = 'lastCity=101280600; __zp_seo_uuid__=d59649f5-bc8a-4263-b4e1-d5fb1526ebbe; __c=1592469667; __g=-; Hm_lvt_194df3105ad7148dcf2b98a91b5e727a=1592469673; __l=l=%2Fwww.zhipin.com%2Fshenzhen%2F&r=https%3A%2F%2Fwww.google.com%2F&friend_source=0&friend_source=0; toUrl=https%3A%2F%2Fwww.zhipin.com%2F%2Fjob_detail%2F3f35305467e161991nJ429i4GA%7E%7E.html; __a=43955211.1592469667..1592469667.39.1.39.39; Hm_lpvt_194df3105ad7148dcf2b98a91b5e727a=1592530438; __zp_stoken__=7f3aaPCVBFktLe0xkP21%2BJSFCLWILSwx7NEw4bVJkRx8pdBE3JGNmWjVwdx5PXC8rHmN%2BJB0hX1UvTz5VPyMmOhIVHBglVzoxJQIdLQtKR3ZFBFIeazwOByVndHwXBAN%2FXFo7W2BffFxtXSU%3D; __zp_sseed__=Ykg0aQ3ow1dZqyi9KmeVnWrqZXcZ32a4psiagwqme3M=; __zp_sname__=93bf4835; __zp_sts__=1592530514188' elif page < 10: cookie_val = 'lastCity=101280600; __zp_seo_uuid__=d59649f5-bc8a-4263-b4e1-d5fb1526ebbe; __c=1592469667; __g=-; Hm_lvt_194df3105ad7148dcf2b98a91b5e727a=1592469673; __l=l=%2Fwww.zhipin.com%2Fshenzhen%2F&r=https%3A%2F%2Fwww.google.com%2F&friend_source=0&friend_source=0; toUrl=https%3A%2F%2Fwww.zhipin.com%2F%2Fjob_detail%2F3f35305467e161991nJ429i4GA%7E%7E.html; __a=43955211.1592469667..1592469667.40.1.40.40; Hm_lpvt_194df3105ad7148dcf2b98a91b5e727a=1592530479; __zp_stoken__=7f3aaPCVBFktLCT4uVVV%2BJSFCLWIVPWZyNUk4bVJkR25XXHVeZWNmWjVwd286Sm83HmN%2BJB0hX1UvBiBVRyt9IWQOcRtWSk83fAsfJAtKR3ZFBE5efUl%2FByVndHwXRQN%2FXFo7W2BffFxtXSU%3D; __zp_sseed__=Ykg0aQ3ow1dZqyi9KmeVnd/9vyiSRHrJFoMai+azsb8=; __zp_sname__=93bf4835; __zp_sts__=1592530496863' else: cookie_val = 'lastCity=101280600; __zp_seo_uuid__=d59649f5-bc8a-4263-b4e1-d5fb1526ebbe; __c=1592469667; __g=-; Hm_lvt_194df3105ad7148dcf2b98a91b5e727a=1592469673; __l=l=%2Fwww.zhipin.com%2Fshenzhen%2F&r=https%3A%2F%2Fwww.google.com%2F&friend_source=0&friend_source=0; toUrl=https%3A%2F%2Fwww.zhipin.com%2F%2Fjob_detail%2F3f35305467e161991nJ429i4GA%7E%7E.html; __a=43955211.1592469667..1592469667.41.1.41.41; __zp_stoken__=7f3aaPCVBFktLc1t4VTp%2BJSFCLWJscnlxSgw4bVJkRw9tLB4pb2NmWjVwdwwgc2l7HmN%2BJB0hX1UvGFZVTH0OdhQQfwxfOyoieW8cOgtKR3ZFBAJYRFMcByVndHwXTwN%2FXFo7W2BffFxtXSU%3D; Hm_lpvt_194df3105ad7148dcf2b98a91b5e727a=1592530497; __zp_sseed__=Ykg0aQ3ow1dZqyi9KmeVnSZKsrhFUU/CYntJcRoFki4=; __zp_sname__=93bf4835; __zp_sts__=1592530514188' html = self.get_url_html(boss_url, cookie_val) soup = BeautifulSoup(html, 'html.parser') # 招聘职位列表 job_list = soup.select('.job-list ul li') for job_li in job_list: # 单条职位信息 url = self.domain + job_li.select('.job-title a')[0].attrs['href'] title = job_li.select('.job-title a')[0].get_text() area = job_li.select('.job-title .job-area')[0].get_text() salary = job_li.select('.job-limit .red')[0].get_text() year = job_li.select('.job-limit p')[0].get_text() company = job_li.select('.info-company h3')[0].get_text() industry = job_li.select('.info-company p')[0].get_text() info = { 'title': title, 'area': area, 'salary': salary, 'year': year, 'company': company, 'industry': industry, 'url': url } print(info) # 写入职位信息 info_demo = '\n| %s | %s | %s | %s | %s | %s | %s |' dict_file.write(info_demo % (title, area, salary, year, company, industry, url)) dict_file.close() # 程序主入口 if __name__ == '__main__': # 实例化 job_name = input('请输入职位关键字:').strip() if job_name == '': print('关键字为空,请重新尝试') exit(0) gl = GetBossData(job_name) # 执行脚本 gl.run() 复制代码
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