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Scraping data to gain performance-insights for Handball Teams. Data is scraped automatically from handball.ch, then visualized interactively with d3.js. Data is updated on Wednesdays, Saturdays and Sundays between 10:00 and 23:00 at 45 minute intervals.

Home Page: https://taetscher.github.io/HBS/

License: GNU General Public License v3.0

CSS 5.51% Python 42.48% HTML 17.17% JavaScript 34.84%
scraper plots crawling selenium-webdriver d3js scraping-websites d3-visualization statistics handball scraping-python

hbs's Introduction

handballStats

Have a look at this repo's gh-pages page!

This repository was created for me to learn about web scraping and git/github flow. If you have any comments, ideas for improvement, let me know!

These scripts allow you to scrape data from handball.ch. Please be aware the scraper built in this repository is made to scrape data from games which were recorded using the liveticker feature. Other games cannot be analyzed with it currently. At this point, only the performance-oriented teams of Wacker Thun are analyzed, however through adjustment of options.py, any team playing under the Swiss Handball Federation may be analyzed.

Using the github pages page, data gained this way can be visualized for better understanding and analysis. Here's an example: Example of Visualized Game Progression

Currently I have a Raspberry Pi set up which updates the data in the following intervals:

Update Day Update Hours
Wednesday 10:00am - 24:00pm
Saturday 10:00am - 24:00pm
Sunday 10:00am - 24:00pm

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