爬取猎聘python_爬取前程无忧大数据岗位相关信息--Python

好的，以下是爬取猎聘python和前程无忧大数据岗位相关信息的Python代码：

## 爬取猎聘python岗位信息

import requests
from bs4 import BeautifulSoup

url = 'https://www.liepin.com/zhaopin/?key=python'

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 Edge/16.16299'
}

response = requests.get(url, headers=headers)
soup = BeautifulSoup(response.text, 'html.parser')

job_list = soup.find_all('div', class_='job-info')

for job in job_list:
    job_name = job.find('a', class_='job-name').text.strip()
    job_salary = job.find('span', class_='text-warning').text.strip()
    job_company = job.find('a', class_='company-name').text.strip()
    job_location = job.find('span', class_='area').text.strip()
    job_time = job.find('span', class_='time-info').text.strip()

    print('职位名称：', job_name)
    print('薪资待遇：', job_salary)
    print('公司名称：', job_company)
    print('工作地点：', job_location)
    print('发布时间：', job_time)
    print('------------------------')

## 爬取前程无忧大数据岗位信息

import requests
from bs4 import BeautifulSoup

url = 'https://search.51job.com/list/000000,000000,0000,00,9,99,大数据,2,1.html'

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 Edge/16.16299'
}

response = requests.get(url, headers=headers)
soup = BeautifulSoup(response.text, 'html.parser')

job_list = soup.select('.el')

for job in job_list[1:]:
    job_name = job.select('.t1')[0].text.strip()
    job_company = job.select('.t2')[0].text.strip()
    job_location = job.select('.t3')[0].text.strip()
    job_salary = job.select('.t4')[0].text.strip()
    job_time = job.select('.t5')[0].text.strip()

    print('职位名称：', job_name)
    print('公司名称：', job_company)
    print('工作地点：', job_location)
    print('薪资待遇：', job_salary)
    print('发布时间：', job_time)
    print('------------------------')

以上代码仅供参考，具体使用时请根据自己的需求进行修改。注意爬虫的合法性，遵守相关法律法规。