GolfGenius Player Analysis

A web app that displays player money statistics scraped from a GolfGenius league. Data is collected using R with chromote (headless Chrome) and displayed in a sortable, searchable table you can open directly from your file system.

Quick Start

1. Open docs/index.html in your browser (just double-click it)
2. To update data: double-click update_data.bat then refresh the page

Setup

Prerequisites

• R 4.0+ with packages: chromote, jsonlite
• Google Chrome (used by chromote for headless scraping)

Install R Packages (if needed)

install.packages(c("chromote", "jsonlite"))

Usage

Update Standings

Double-click update_data.bat — it runs the R scraper and updates the data file. Then refresh the browser page.

Or run manually:

Rscript scraper/scrape_players.R
Rscript scraper/scrape_players.R --headed   # debug mode (visible browser)
Rscript scraper/scrape_players.R --ggid RUMBLERS

View Standings

Open docs/index.html directly in your browser. No server needed.

Project Structure

GolfGeniusPlayerAnalysis/
├── scraper/
│   └── scrape_players.R       # chromote-based R scraper
├── docs/
│   ├── index.html             # Main web app (open directly)
│   ├── css/styles.css         # Golf-themed styling
│   ├── js/app.js              # Sorting, search, rendering
│   └── data/data.js           # Scraped data (output of scraper)
├── update_data.bat            # One-click update (Windows)
├── .gitignore
└── README.md

Columns

Column	Description
Player	Player name
Money Won	Total money won from GolfGenius
Rounds	Number of rounds played
Purse Entered	$15 x rounds played
Net	Money Won - Purse Entered

Notes

• First scraper run should use --headed to verify DOM selectors work with the live GolfGenius page
• If the scraper finds 0 players, run --headed to inspect and check debug files in scraper/
• The "Update Standings" button on the web page shows instructions for running the scraper