Harvard Art Museums Data Pipeline

This walks you through building a complete data pipeline from API to dashboard using the Harvard Art Museums collection as your dataset. You'll hit their API with pagination and rate limiting, normalize the JSON into MySQL tables (metadata, media, colors), and build a Streamlit dashboard with Plotly visualizations. It's a solid reference implementation if you're learning data engineering patterns or need to spin up something similar for a different API. The code is straightforward Python with pandas, mysql-connector, and requests. Worth noting it uses TiDB Cloud compatible schemas, so you can run it on their free tier without setting up local MySQL.

Install to Claude Code

npx -y skills add aradotso/data-skills --skill harvard-art-museums-data-pipeline --agent claude-code