Scrapy框架爬取智联招聘网站上海地区python工作第一页(90条)

1. 创建项目：

　　CMD下　　

　　    scrapy startproject zhilianJob

　　　然后 cd zhilianJob ,  创建爬虫文件 job.py: scrapy genspider job xxx.com

2. settings.py 中：

USER_AGENT = 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.181 Safari/537.36'
ROBOTSTXT_OBEY = False
ITEM_PIPELINES = {
   'zhilianJob.pipelines.ZhilianjobPipeline': 300,
}

 

3. 爬虫文件job.py中：

# -*- coding: utf-8 -*-
import scrapy
import json
from zhilianJob.items import ZhilianjobItem
 
 
class JobSpider(scrapy.Spider):
    name = 'job'
    # allowed_domains = ['www.sou.zhaopin.com']
    # start_urls可以简写成：https://fe-api.zhaopin.com/c/i/sou?pageSize=90&cityId=538&kw=python&kt=3
    start_urls = [
        'https://fe-api.zhaopin.com/c/i/sou?pageSize=90&cityId=538&salary=0,0&workExperience=-1&education=-1&companyType=-1&employmentType=-1&jobWelfareTag=-1&kw=python&kt=3&=0&_v=0.02964699&x-zp-page-request-id=3e524df5d2b541dcb5ddb82028a5c1b6-1565749700925-710042&x-zp-client-id=2724abb6-fb33-43a0-af2e-f177d8a3e169']
 
    def parse(self, response):
        # print(response.text)
 
        data = json.loads(response.text)
        job = data['data']['results']
        # print(job)
        try:
            for j in job:
                item = ZhilianjobItem()
                item['job_name'] = j['jobName']
                item['job_firm'] = j['company']['name']
                item['job_firmPeople'] = j['company']['size']['name']
                item['job_salary'] = j['salary']
                item['job_type'] = j['jobType']['items'][0]['name']
                item['job_yaoqiu'] = j['eduLevel']['name'] + ',' + j['workingExp']['name']
                item['job_welfare'] = ','.join(j['welfare'])
                yield item
        except Exception as e:
            print(e)

 

4. items.py中:

　　

# -*- coding: utf-8 -*-
 
# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html
 
import scrapy
 
 
class ZhilianjobItem(scrapy.Item):
    # define the fields for your item here like:
    job_name = scrapy.Field()       #工作名称
    job_firm = scrapy.Field()       #公司名称
    job_firmPeople = scrapy.Field()       #公司人数
    job_type = scrapy.Field()       #工作类型
    job_salary = scrapy.Field()     #薪水
    job_yaoqiu = scrapy.Field()     #工作要求
    job_welfare = scrapy.Field()    #福利
    pass

5. 创建数据库，根据items中字段对应即可

6 . 管道文件pipelines.py:

import pymysql
class ZhilianjobPipeline(object):
    conn = None
    mycursor = None
 
    def open_spider(self,spider):
        self.conn = pymysql.connect(host='172.16.25.37',port=3306,user='root',password='root',db='scrapy')
        # 获取游标
        self.mycursor = self.conn.cursor()
 
        print('正在清空之前的数据...')
        # 我只打算要第一页的数据，所以每次爬取都是最新的，要把数据库里的之前的数据要清空
        sql1 = "truncate table sh_python"
        self.mycursor.execute(sql1)
        print('已清空之前的数据，上海--python--第一页(90)...开始下载...')
    def process_item(self, item, spider):
 
        job_name = item['job_name']
        job_firm = item['job_firm']
        job_firmPeople = item['job_firmPeople']
        job_salary = item['job_salary']
        job_type = item['job_type']
        job_yaoqiu = item['job_yaoqiu']
        job_welfare = item['job_welfare']
 
        try:
            sql2 = "insert into sh_python VALUES (NULL ,'%s','%s','%s','%s','%s','%s','%s')"%(job_name,job_firm,job_firmPeople,job_salary,job_type,job_yaoqiu,job_welfare)
            #执行sql
            self.mycursor.execute(sql2)
            #提交
            self.conn.commit()
        except Exception as e:
            print(e)
            self.conn.rollback()
 
        return item
 
    def close_spider(self,spider):
        self.mycursor.close()
        self.conn.close()
        print('上海--python--第一页(90)...下载完毕...')

 

7. 看数据库是否有数据

成功。