爬取58同城二手房数据存储到redis数据库和mysql数据库

主程序代码：

 1 import scrapy
 2 from  scrapyDemo.items  import  ScrapydemoItem
 3 
 4 class PostSpider(scrapy.Spider):
 5     name = 'home'
 6     # allowed_domains = ['www.baidu.com']
 7     start_urls = ['https://bj.58.com/shahe/ershoufang/e4/?PGTID=0d30000c-0142-1050-f5c4-dad0a3db3138&ClickID=1']
 8 
 9     def parse(self, response):
10         li_list=response.xpath('//ul[@class="house-list-wrap"]/li')
11         for li in li_list:
12             title=li.xpath('./div[2]/h2/a/text()').extract_first()
13             price=li.xpath('./div[3]/p/b/text()').extract_first()
14 
15             item=ScrapydemoItem()
16             item["title"]=title
17             item["price"]=price
18 
19             yield item
爬虫代码

管道代码：

 1 import  pymysql
 2 from redis import  Redis
 3 
 4 #存储到mysql数据库
 5 class Scrapydemotomysql(object):
 6     #连接
 7     conn=None
 8     #游标
 9     cursor=None
10 
11     def open_spider(self,spider):
12         self.conn = pymysql.Connect(host="127.0.0.1", port=3306, user="root", password="root", db="spider")
13 
14     def process_item(self, item, spider):
15         title=item["title"]
16         price=item["price"]
17         sql='insert into house values ("%s","%s")'%(title,price)
18         self.cursor=self.conn.cursor()
19         try:
20             self.cursor.execute(sql)
21             self.conn.commit()
22         except Exception as e:
23             print(str(e))
24             self.conn.rollback()
25         return  item
26     def close_spider(self,spider):
27         self.cursor.close()
28         self.conn.close()
29 
30 #存储到redis数据库
31 class Scrapydemotoredis(object):
32     #连接
33     conn=None
34     def open_spider(self,spider):
35         self.conn = Redis(host='127.0.0.1',port=6379)
36 
37     def process_item(self, item, spider):
38         title=item["title"]
39         price=item["price"]
40         dict={
41             'title':title,
42             'price':price
43         }
44         dict=str(dict)
45         self.conn.lpush('home',dict)
46         return  item
pipelines

 

posted @ 2018-12-18 18:13  北伽  阅读(652)  评论(0)  编辑  收藏  举报