boss直聘python_python分析BOSS直聘的某个招聘岗位数据

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……

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

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完整源码

#!/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()