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taobao_spider's Introduction

基于Scrapy的Python3分布式淘宝爬虫

  • Items.py : 定义爬取的数据
  • pipelines.py : 后处理(Post-process)，存储爬取的数据
  • taobao.py : 爬虫程序
  • settings.py : Srapy设定，请参考 内置设定参考手册
  • 代码的详细分析在我的个人博客 www.liangtianming.com
  • 问题和讨论可以发到我的邮箱 [email protected]
  • 不定期更新
  • 2017.7.23

实现功能：

输入关键字和搜索页数，获取在淘宝上搜索结果中所有商品的标题、链接、原价、现价、商家地址以及评论数量,并将数据存入MongoDB数据库中

使用教程：

1. 运行前你需要安装并配置好环境：

  • Python3
  • Scrapy
  • MongoDB
  • redis

2. 打开MongoDB和redis服务

3. 下载并解压，把文件夹名改为taobao_spider

4. 打开多个cmd，把路径都切换到taobao_spider目录下，输入 scrapy crawl taobao --nolog

C:\Users>f:

F:\>cd taobao_spider

F:\taobao_spider>scrapy crawl taobao --nolog

5. 打开cmd，把路径切换到redis目录下，提交start_url

C:\Users>d:

D:\>cd redis

D:\Redis>redis-cli

127.0.0.1:6379> LPUSH TaobaoSpider:start_urls http://taobao.com/

6. 在终端中可看见爬取过程，数据存储在MangoDB的tbdb库的taobao表中（存储位置可在pipelines.py中修改）

7. 程序结束后，清除redis中的缓存

127.0.0.1:6379> flushdb

下面是一些爬取结果示例

  • 单个终端：

  • 多个终端：

  • 数据库：

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