爬取前程无忧网站上python的招聘信息。

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

import scrapy


class qianchengwuyouitem(scrapy.item):
    # define the fields for your item here like:
    job_title = scrapy.field()
    company_name = scrapy.field()
    company_address = scrapy.field()
    salary = scrapy.field()
    release_time = scrapy.field()

qcwy.py文件内写主程序

import scrapy
from scrapy.linkextractors import linkextractor
from scrapy.spiders import crawlspider, rule
from qianchengwuyou.items import qianchengwuyouitem

class qcwyspider(crawlspider):
    name = 'qcwy'
    # allowed_domains = ['www.xxx.com']
    start_urls = ['https://search.51job.com/list/000000,000000,0000,00,9,99,python,2,1.html?']
    # 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=
    rules = (
        rule(linkextractor(allow=r'https://search.51job.com/list/000000,000000,0000,00,9,99,python,2,(\d+).html?'), callback='parse_item', follow=true),
    )

    def parse_item(self, response):

        list_job = response.xpath('//div[@id="resultlist"]/div[@class="el"][position()>1]')
        for job in list_job:
            item = qianchengwuyouitem()
            item['job_title'] = job.xpath('./p/span/a/@title').extract_first()
            item['company_name'] = job.xpath('./span[1]/a/@title').extract_first()
            item['company_address'] = job.xpath('./span[2]/text()').extract_first()
            item['salary'] = job.xpath('./span[3]/text()').extract_first()
            item['release_time'] = job.xpath('./span[4]/text()').extract_first()
            yield item

pipelines.py文件中写下载规则

import pymysql

class qianchengwuyoupipeline(object):
    conn = none
    mycursor = none

    def open_spider(self, spider):
        print('链接数据库...')
        self.conn = pymysql.connect(host='172.16.25.4', user='root', password='root', db='scrapy')
        self.mycursor = self.conn.cursor()

    def process_item(self, item, spider):
        print('正在写数据库...')
        job_title = item['job_title']
        company_name = item['company_name']
        company_address = item['company_address']
        salary = item['salary']
        release_time = item['release_time']
        sql = 'insert into qcwy values (null,"%s","%s","%s","%s","%s")' % (
            job_title, company_name, company_address, salary, release_time)
        bool = self.mycursor.execute(sql)
        self.conn.commit()
        return item

    def close_spider(self, spider):
        print('写入数据库完成...')
        self.mycursor.close()
        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，

done.