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。