Save & Summarize Articles from Telegram to Notion using GPT-4o

Created by

Yosua Surojo

Last update

Last update 12 hours 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

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.

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