Building an Automatic Article Summarization Tool (RSS → Python → OpenAI → Notion) Step by Step | GateOfAI

📘 Building an Automatic Article Summarization Tool (RSS → Python → OpenAI → Notion) Category: AI Lessons — Level: Beginner/Intermediate — Duration: 45–60 minutes 💡 Idea We will create a tool that monitors any RSS, collects new links, extracts the article text, summarizes it using the OpenAI API, and then automatically saves the summary in a Notion database. You can run it manually or schedule it via Zap. 🧰 Requirements An active OpenAI account with a API key. A Notion workspace and a database to save the summaries. Python 3.10+ installed on your machine. An RSS link from a news source/blog. (Optional) A Zapier account to trigger the code when a new RSS item arrives. 🔧 Step 1: Understanding RSS and Choosing a Source RSS is a standard format for syndicating updated content (titles/summary/link). You will find the RSS link on many websites or through the orange RSS icon. We will use this link as an input for the tool. 🗂️ Step 2: Setting Up a Database in Notion Create a Database in Notion titled something like: AI Summaries. Add the following properties: Title (Page Title) — Type: Title. URL — Type: URL. Source — Short text. Summary — Long text. Published — Date/Time (optional). Create an Integration from Notion Developers, grant it access to the database, and keep your NOTION_TOKEN and DATABASE_ID. Refer to the API creation documentation for more precise adjustments if needed. 🔐 Step 3: Saving Keys as Environment Variables # macOS/Linux export OPENAI_API_KEY="insert_key_here" export NOTION_TOKEN="insert_notion_token" export NOTION_DATABASE_ID="insert_database_id" 📦 Step 4: Installing Packages pip install feedparser trafilatura requests python-dotenv feedparser for reading RSS, trafilatura for extracting article text from HTML, and requests for sending requests to Notion. 🤖 Step 5: Complete Python Code This code executes: Read RSS → Download Article Text → Summarize via OpenAI → Create Page in Notion. import os, time, feedparser, requests from datetime import datetime import trafilatura OPENAI_API_KEY = os.environ["OPENAI_API_KEY"] NOTION_T...