devtools

SportsBook: Scrape & Analyze Football Data Instantly

Name: SportsBook: Scrape & Analyze Football Data Instantly
Author: Pringleman83

Easily pull live football stats and generate JSON insights for product pivots or betting models. Ideal for founders building sports‑tech or data‑driven apps.

From the repo · “A sports data scraping and analysis tool”

101 stars+1★ this week44 forksPythonGuide quality 9/10 · reviewed Oct 18Updated 12/8/2022100% free · open source

What it does

SportsBook is a Python tool for scraping and analyzing sports data from various sources.

When to use it

•When you need to collect historical sports data for machine learning model training
•When you want to analyze real-time sports data for fantasy sports or betting
•When you need to integrate sports data into your web or mobile application

Ready-to-paste prompt

python sports_book.py --league nfl --season 2022 --output nfl_2022_data.csv

Heads up: You need to have Python 3.8 or higher installed and configured on your system to run SportsBook, as it uses libraries that are not compatible with earlier versions

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/sportsbook && curl -fsSL https://workflowstacks.com/api/skills/sportsbook/claude-skill -o ~/.claude/skills/sportsbook/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How SportsBook: Scrape & Analyze Football Data Instantly works

Codeflow

Free to inspect

SportsBook: Scrape & Analyze Football Data Instantly is a medium Python project (~4.7k lines across 8 code files, plus 1 test files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit 47 months ago, GPL-3.0 license, has a test suite.

Size

Medium codebase

~4.7k lines · 8 code files · 40 min skim

Setup

Some technical setup

Comfortable with a terminal? 20–40 min. Otherwise ask a dev.

Runs on

Python

No API keys detected

Python 100%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
src/commonFunctions.py
Inside src/ — the main logic begins here

What's in each folder

src/Core code — the actual logic10 files

test/Tests — proof it works1 files

READMEHas testsDocumentedNo CIGPL-3.0 licenseLast update 47 mo ago