Log Daily Mood & Weather to Notion via Telegram & OpenWeatherMap
Automates daily mood logging from Telegram messages and local weather data to a Notion database using Cron triggers and API integrations. Educational workflow teaching n8n core concepts like triggers, APIs, Code node, and Notion integration.
This n8n workflow automates the process of capturing your daily mood via Telegram messages and fetching corresponding local weather data from OpenWeatherMap, then seamlessly logging both into a Notion database. It uses a Cron node for scheduled daily runs and a Telegram Trigger for on-demand mood entries, demonstrating dual-trigger setups. An HTTP Request node pulls real-time weather, while a Code node merges Telegram input with weather data for structured output.
Key benefits include effortless personal tracking without manual entry, combining qualitative mood logs with quantitative weather insights for better self-reflection or habit analysis. It's highly customizable via environment variables for API keys and locations, ensuring security and flexibility. The workflow saves time on journaling and provides a foundation for expanding to analytics or multi-user setups.
Ideal use cases: Personal wellness tracking, research on mood-weather correlations, or team mood boards in remote work. As an educational template, it teaches essential n8n skills—triggers, API calls, data transformation, and database writes—making it perfect for beginners building automation expertise. Setup requires Notion database ID, Telegram bot, and OpenWeatherMap key.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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