Save & Summarize Articles from Telegram to Notion using GPT-4o
Last edited 58 days ago
Who it's for
This workflow is for anyone who wants to build an automated, AI-enhanced reading list. Ideal for:
- Knowledge workers and researchers who collect and organize articles
- Students managing study materials
- Productivity hackers who use Telegram and Notion for personal knowledge management
- Anyone using the AI-Enhanced Knowledge Base Tracker Notion Template
How it works
This workflow takes any article link sent to your Telegram bot and automatically:
- Parses the article into a clean title and body
- Uses OpenAI to generate a 1–2 sentence highlight and topic tag
- Saves it into your Notion database
- Sends a confirmation message with the highlight and Notion link back to Telegram
Main steps:
- Telegram Trigger - Listens for incoming message containing an article link.
- Fetch Article Title & Content - Calls the article-parser-api deployed on Vercel to fetch and parse the article content into structured JSON (title and content).
- Generate Highlight + Tag (AI Agent) - Processes the parsed content to generate Highlight and Type tag values.
- Structured Metadata for Notion - Adjusts the extracted data before saving it to Notion.
- Save Article to Notion Database - Inserts the article and generated metadata into your Notion knowledge base.
- Confirm Save via Telegram - Sends a confirmation message and the Notion page link back to the Telegram bot chat after the entry is created.
Setup
- Create and connect your API credentials:
- Deploy the article parser:
- Use this repo: article-parser-api
- Deploy it to Vercel or any serverless environment
- Link your Notion database:
- Duplicate the AI‑Enhanced Knowledge Base Tracker
- Copy the database URL and connect it in the Notion node
- Test your workflow:
- Click Execute workflow
- Send an article link to your Telegram bot
- Once verified, activate the workflow so it runs automatically
Requirements
- Telegram bot token
- OpenAI API key
- Notion integration and shared database
- A deployed article parser (e.g., article-parser-api)
Optional customization
- Edit the AI Agent prompt to change tone or tagging style
- Add filtering or additional fields in the Edit Fields node
- Trigger from other sources (e.g., Slack or Email)
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