Harvard Art Museums Data Engineering Analytics

This is a complete data engineering tutorial that walks you through building an ETL pipeline with the Harvard Art Museums API. You'll extract artifact data via paginated requests, transform nested JSON into three relational tables (metadata, media, colors), load everything into MySQL or TiDB, then build a Streamlit dashboard with Plotly visualizations. The code handles rate limiting, includes 20+ analytical queries, and covers the full workflow from API key setup to interactive dashboards. Good if you're learning data engineering fundamentals or need a museum data starter project. The repo includes actual implementation code, not just concepts, so you can run it immediately after setting up your API credentials and database connection.

Install to Claude Code

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