Summary
You're looking at a complete ETL pipeline tutorial that pulls artifact data from Harvard Art Museums' public API into a MySQL database, then visualizes it with Streamlit and Plotly. It handles pagination and rate limiting on the API side, structures data across three normalized tables (metadata, media URLs, and color analysis), and includes pre-built analytical queries for culture distributions and color patterns. The repo comes with schema definitions and batch insert logic. Honestly, this is more of a learning project than production infrastructure, but it's a solid reference if you need to wire up any museum API to a dashboard and want working code for the whole stack.
Install to Claude Code
npx -y skills add aradotso/data-skills --skill harvard-artifacts-etl-streamlit-analytics --agent claude-codeInstalls into .claude/skills of the current project.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
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