Notion Study Reminder
A small automation that reads study tasks and deadlines from Notion, then sends useful email digests without requiring another dashboard.
- Timeline
- April 2026
Technologies used
- Node.js
- Notion API
- Gmail API
- GitHub Actions
A schedule that reaches me
I already kept my study schedule in Notion, but it only helped when I remembered to open it. Notion Study Reminder turns that passive page into a small, predictable email routine.
The service reads unchecked to-do blocks recursively and also supports database-style tasks. It combines today's checklist with nearby deadlines, then sends the result through Gmail.
Three runs, two useful shapes
Morning and evening messages contain today's checklist plus non-overdue deadlines inside a configurable seven-day window. The midday message is deliberately quieter: it contains only work due today and sends nothing when that list is empty.
Beirut time without a brittle cron table
GitHub Actions wakes the script hourly. The Node process decides whether a reminder is due by comparing the current time in Asia/Beirut, so daylight-saving changes do not require editing the workflow schedule. A small send marker prevents the same scheduled window from producing duplicate mail.
A dependency-free implementation
The project uses the Node 18 standard library for HTTP requests, date handling, environment configuration, and MIME message construction. It can send through Gmail SMTP or the Gmail API with OAuth, and it handles paginated Notion responses plus the transition between older database endpoints and newer data-source endpoints.
Edges I would tighten
The current parser expects specific Notion property names, so a mapping layer would make it friendlier to other workspaces. Dynamic text should also be escaped before entering the HTML email, and the scheduler could compare exact minutes rather than relying on hourly workflow timing. The current test suite covers the parsing and scheduling behavior with 18 passing tests.
Tags
More Web projects
Web
Dros
A local-first React study app that turns AI-generated and imported MCQs into repeatable practice with immediate feedback.
Explore other projects
Mobile
Audiobooks for Android
A native Android audiobook library with offline downloads, persistent listening progress, and background playback.
University
AI Workflow DSL
A Python DSL and table-driven LL(1) parser for multi-agent workflows, with generated grammar docs and source-aware syntax errors.
Hackathon
Tanbih
A crisis intelligence prototype that combines multi-source detection, explainable verification, geographic targeting, and human-reviewed multilingual alerts.