Python爬取前程无忧网站上python的招聘信息

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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

http://note.youdao.com/noteshare?id=3054cce4add8a909e784ad934f956cef

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

.

https://www.cnblogs.com/Qqun821460695/p/11930323.html

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