Looking for someone who can code a clever extractor/parser that will scrape data from stats.ncaa.com. Given the top link, it will go through each team page, and for each already played matche that has not yet been extracted before it will retrieve information from boxscore, play-by-play and sets summary. A (large) file repository is assumed to be created with this.
Sample links that need to be handled:
top link - [login to view URL]
team link - [login to view URL]
match link
- [login to view URL]
- [login to view URL]
- [login to view URL]
The data from match related pages will be parsed into multiple csv files and stored in dedicated folder. Detailed structure of csv files to be provided later, I know what I am looking for so I will be able to answer/navigate during the extraction process.
Technology wise - Windows 10 and Python is assumed, cygwin is an ok option if preferred for any reason. Thanks a lot.
Hi there. I'd be more than happy to work on this with you -- I work in AI/Machine Learning, so these kinds of data processing tools are something I work with day-to-day, so I can build on that for you. If there's any additional processing or model building you might want to do with the scraped data, I'd be happy to help with that too.
Please get in touch if you'd like to talk about any specifics or particular features you might want :)
Thanks!
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Hi, I can make this program for Windows using the python3 together with the module pyQT for the development of the GUI, as in programs from my portfolio. Thanks
Hi
I write you a scraper for the mentioned website and will also integrate a database for storing, retrieving and running reports on the data.
Please discuss.
Thanks