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Python爬取前程无忧网站上python的招聘信息

2019年11月26日  | 移动技术网IT编程  | 我要评论

反思,中央遴选公务员2014,梦灵修真

前言

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作者： 我姓刘却留不住你的心

ps：如有需要python学习资料的小伙伴可以加点击下方链接自行获取

本文获取的字段有为职位名称，公司名称，公司地点，薪资，发布时间

创建爬虫项目

scrapy startproject qianchengwuyou
​
cd qianchengwuyou
​
scrapy genspider -t crawl qcwy www.xxx.com

 

items中定义爬取的字段

1 import scrapy
2 ​
3 ​
4 class qianchengwuyouitem(scrapy.item):
5     # define the fields for your item here like:
6     job_title = scrapy.field()
7     company_name = scrapy.field()
8     company_address = scrapy.field()
9     salary = scrapy.field()

 


    release_time = scrapy.field()

qcwy.py文件内写主程序

 1 import scrapy
 2 from scrapy.linkextractors import linkextractor
 3 from scrapy.spiders import crawlspider, rule
 4 from qianchengwuyou.items import qianchengwuyouitem
 5 ​
 6 class qcwyspider(crawlspider):
 7     name = 'qcwy'
 8     # allowed_domains = ['www.xxx.com']
 9     start_urls = ['https://search.51job.com/list/000000,000000,0000,00,9,99,python,2,1.html?']
10     # https://search.51job.com/list/000000,000000,0000,00,9,99,python,2,7.html?lang=c&postchannel=0000&workyear=99&cotype=99&degreefrom=99&jobterm=99&companysize=99&ord_field=0&dibiaoid=0&line=&welfare=
11     rules = (
12         rule(linkextractor(allow=r'https://search.51job.com/list/000000,000000,0000,00,9,99,python,2,(\d+).html?'), callback='parse_item', follow=true),
13     )
14 ​
15     def parse_item(self, response):
16 ​
17         list_job = response.xpath('//div[@id="resultlist"]/div[@class="el"][position()>1]')
18         for job in list_job:
19             item = qianchengwuyouitem()
20             item['job_title'] = job.xpath('./p/span/a/@title').extract_first()
21             item['company_name'] = job.xpath('./span[1]/a/@title').extract_first()
22             item['company_address'] = job.xpath('./span[2]/text()').extract_first()
23             item['salary'] = job.xpath('./span[3]/text()').extract_first()
24             item['release_time'] = job.xpath('./span[4]/text()').extract_first()
25             yield item

 

pipelines.py文件中写下载规则

 1 import pymysql
 2 ​
 3 class qianchengwuyoupipeline(object):
 4     conn = none
 5     mycursor = none
 6 ​
 7     def open_spider(self, spider):
 8         print('链接数据库...')
 9         self.conn = pymysql.connect(host='172.16.25.4', user='root', password='root', db='scrapy')
10         self.mycursor = self.conn.cursor()
11 ​
12     def process_item(self, item, spider):
13         print('正在写数据库...')
14         job_title = item['job_title']
15         company_name = item['company_name']
16         company_address = item['company_address']
17         salary = item['salary']
18         release_time = item['release_time']
19         sql = 'insert into qcwy values (null,"%s","%s","%s","%s","%s")' % (
20             job_title, company_name, company_address, salary, release_time)
21         bool = self.mycursor.execute(sql)
22         self.conn.commit()
23         return item
24 ​
25     def close_spider(self, spider):
26         print('写入数据库完成...')
27         self.mycursor.close()
28         self.conn.close()

 

settings.py文件中打开下载管道和请求头
item_pipelines = {
   'qianchengwuyou.pipelines.qianchengwuyoupipeline': 300,
}
user_agent = 'mozilla/5.0 (windows nt 6.1; wow64) applewebkit/534.57.2 (khtml, like gecko) version/5.1.7 safari/534.57.2'

 

运行爬虫，同时写入.json文件

scrapy crawl qcwy -o qcwy.json --nolog

 

查看数据库是否写入成功，

在这里插入图片描述

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