I Automated My Entire Data Pipeline for $0 (Python + GitHub Actions + Free APIs)

My data pipeline used to cost $47/month: $5 DigitalOcean droplet $12 Airtable Pro $30 Zapier automation Now it costs $0. Here's how. The Architecture GitHub Actions (free cron) → Python scraper → JSON files in repo → GitHub Pages No database. No server. No paid tools. Everything runs on GitHub's free tier. What It Does Every day at 8am UTC: Fetches cryptocurrency prices (CoinGecko API — free, no key) Fetches stock market data (Alpha Vantage — free key) Checks economic indicators (FRED — free key) Saves everything to JSON files Auto-commits to the repo GitHub Pages serves the data as a static API The Scraper import requests import json import os from datetime import datetime os . makedirs ( ' data ' , exist_ok = True ) def save ( filename , data ): with open ( f ' data/ { filename } ' , ' w ' ) as f : json . dump ( data , f , indent = 2 ) print ( f ' Saved { filename } ' ) # 1. Crypto prices crypto = requests . get ( ' https://api.coingecko.com/api/v3/simple/price ' , params = { ' ids '