statistical data from the Iracing interface via automated scrapping.
Here is the initial report, lets cut the suspense for the ones
who are reading :)
So the ones that are not familiar with Iracing license model it can
be explained as simple as:
When you join Iracing, you start with a rookie license, you can
get promoted to the next level license only if you complete
certain # of races, and meet a safety rating 3/4 or more.
As of right now, nobody had gathered and shared this statistic
of what % of users are in which license level as far as I know
and thats why i wanted to take on the challenge just to keep my coding/scrapping skills fresh as a small weekend hackathon :)
So How did I do it?
Well, when I started on the idea Friday night, i was quick enough
to find out, that you cant scrape using conventional scripting methods with python (mechanize and beautifullSoup). And yes I do enjoy scripting these types of things in Python :)
This is because mechanize does not support javascript, and without javascript support I can't even login. After a couple hours of researching it turned out the best way is to use a package called "Selenium RC" and invoke it via its python API.Selenium RC is just a simple remote control interface for firefox(it also supports other browsers for runtime but not debugging)... I can say ,after my short experience, Selenium is really good for these types of web UI automation&testing tasks.
I used to use a similar tool back in the day called OpenKapow. But it had a
very extensive ETL like browser IDE.I personally feel I have more control over with Python compared to using a bulky IDE...exception handling is also easier this way.
+1 for Selenium folks! :)
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