Crawler：基于urllib+requests库+伪装浏览器实现爬取国内知名招聘网站，上海地区与机器学习有关的招聘信息(2018.4.30之前)并保存在csv文件内

目录

输出结果

设计思路

核心代码

输出结果

4月有31天？what？本人编程出错，感谢纠正！

设计思路

核心代码

 -*- coding: utf-8 -*-
 
Py之Crawler：爬虫实现爬取国内知名招聘网站，上海地区与机器学习有关的招聘信息并保存在csv文件内
 
import re
import csv
import requests
from tqdm import tqdm
from urllib.parse import urlencode
from requests.exceptions import RequestException
 
def get_one_page(city, keyword, page):  
   paras = {  
       'jl': city,         
       'kw': keyword,     
       'isadv': 0,         
       'isfilter': 1,     
       'p': page        
   }
   headers = { 
       'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36',
       'Host': 'sou.zhaopin.com',
       'Referer': 'https://www.zhaopin.com/',
       'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8',
       'Accept-Encoding': 'gzip, deflate, br',
       'Accept-Language': 'zh-CN,zh;q=0.9'
   }
 
   url = 'https://sou.zhaopin.com/jobs/searchresult.ashx?' + urlencode(paras)
   try:
       response = requests.get(url, headers=headers)
       if response.status_code == 200:
           return response.text
       return None
   except RequestException as e:
       return None
 
def parse_one_page(html): 
   pattern = re.compile('<a style=.*? >(.*?)</a>.*?'      
       '<td class="gsmc"><a href="(.*?)" >(.*?)</a>.*?'    
       '<td class="zwyx">(.*?)</td>', re.S)                                 
   items = re.findall(pattern, html)   
   print(items) 
   
   for item in items:  for循环的返回一个生成器
       job_name = item[0]
       job_name = job_name.replace('<b>', '')
       job_name = job_name.replace('</b>', '')
       yield {   yield是一个关键词，类似return, 不同之处在于，yield返回的是一个生成器
           'job': job_name,
           'website': item[1],
           'company': item[2],
           'salary': item[3]
       }
       print(item)
 
def write_csv_file(path, headers, rows):  
   with open(path, 'a', encoding='gb18030', newline='') as f:
       f_csv = csv.DictWriter(f, headers)
       f_csv.writeheader()
       f_csv.writerows(rows)
 
if __name__ == '__main__':
   main('上海', '机器学习', 10)