Using Python to crawl Billboard data and follow-up analysis

# #之前已经有很多人写过相关内容, but I have not read before, this crawler is also in accordance with their own ideas written, may be more ugly, please forgive me!

I as a novice Python crawler and stock market leek, because of time every night no way to turn billboard data, so I hope to use the Crawler to filter out useful information for my analysis (in fact, I want to lazy ...) ）。

The daily billboard data is in: http://data.eastmoney.com/stock/lhb.html

Crawl process is actually very simple, do not need to login, and do not need to impersonate the browser login, data volume is small, so there is no more process, do not have to replace the IP and other anti-crawler means. Subsequent analysis may be more critical.

The main idea is to track well-known sales department, such as my idol: Citic Huaihai Road and Citic Gubei Road, feel how they operate, take a look at how to interpret the market atmosphere.

Leave a hole first ....

Using Python to crawl Billboard data and follow-up analysis