FotMob Scraper

Scrapes team data from FotMob and exports it to CSV files, with a Svelte UI to explore squad, fixtures, stats, and transfers.

Demo

What It Scrapes

• Fixtures
• Squad
• Player stats
• Team info
• League table (when available)
• Transfers

All generated CSVs are written to data/.

Project Structure

• scraper/scraper.py: main scraping/export script
• scraper/config.py: loads .env values
• scraper/supabase_sync.py: optional Supabase sync logic
• supabase/schema.sql: SQL schema for Supabase Query Editor
• data/: generated CSV output
• client/: Svelte + Vite frontend

Requirements

• Python 3.10+
• Node.js 18+

Setup

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Create .env:

cp .env.example .env

Set your team:

TEAM_ID=9773

Optional Supabase sync env vars:

SUPABASE_URL=https://your-project-ref.supabase.co
SUPABASE_SERVICE_ROLE_KEY=your_service_role_key
SUPABASE_SCHEMA=public

Run Scraper

python3 scraper/scraper.py

Optional: sync to Supabase in the same run:

python3 scraper/scraper.py --sync-supabase

Expected outputs:

• data/fixtures.csv
• data/squad.csv
• data/player_stats.csv
• data/team_info.csv
• data/league_table.csv (may be empty depending on response)
• data/transfers.csv

Run Frontend

cd client
npm install
npm run dev

Open http://localhost:5173.

Supabase Schema

Run supabase/schema.sql in Supabase Query Editor before using --sync-supabase. Default schema used by the scraper is public.

Dependencies

• mobfot
• pandas
• python-dotenv
• supabase
• Svelte + Vite