每日爬取武汉链家二手房的数据，可视化分析
后端：Golang 1.14
存储：ElasticSearch 7.6.1
可视化：Kibana+Vue
- 用go协程实现并发爬取
- 用elastic储存数据
- 将es的数据用kibana可视化
- 按照构想的数据维度，用gin将数据封装成api
- 用vue搭建一个spa图看板页面
- 编写docker-compose，自动化部署
- 结合docker搭建分布式并发架构
ps: 效果图见ex_imgs目录里
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golang爬虫项目（数据源：链家）
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