wshr210

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。

 

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