# Frank-qlu/recruit

<https://repo.masters-masters.com/en/repos/Frank-qlu/recruit>

[Home](https://repo.masters-masters.com/en) › [Frank-qlu](https://repo.masters-masters.com/en/owners/Frank-qlu) › [recruit](https://repo.masters-masters.com/en/repos/Frank-qlu/recruit)

Frank-qlu/recruit has 144 stars on GitHub. Its RepoMasters card: Prototype tier. recruit 招聘爬虫+数据分析 1.爬虫： 采用Scrapy 分布式爬虫技术，使用mongodb作为数据存储，爬取的网站Demo为51job，数据我目前…

| Field | Value |
| --- | --- |
| Owner | [Frank-qlu](https://repo.masters-masters.com/en/owners/Frank-qlu) |
| Stars | 144 |
| Forks | 38 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Frank-qlu/recruit](https://github.com/Frank-qlu/recruit) |

## Repository

recruit 招聘爬虫+数据分析 1.爬虫： 采用Scrapy 分布式爬虫技术，使用mongodb作为数据存储，爬取的网站Demo为51job，数据我目前爬了有几千条 2.数据处理： 采用pandas对爬取的数据进行清洗和处理 2.数据分析： 采用flask后端获取mongodb数据，前端使用bootstrap3.echarts以及D3的词云图，如果喜欢请star or Fork,预览详见

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
