🎯 Create personalized news digests from RSS feeds with GPT & Gemini via email/Telegram

⚡ 733 views · 🎯 AI Summarization & Classification

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Description

This workflow provides an intelligent automation solution for processing RSS feeds using ScrapeGraph API and delivering personalized news summaries via email and Telegram.

Key Benefits

Time-Saving Automation

• ✅ Eliminates manual news monitoring by automatically processing RSS feeds
• ✅ Filters content to show only articles from the last 24 hours
• ✅ Reduces information overload by limiting to the 3 most recent relevant articles

Multi-Channel Distribution

• ✅ Delivers summaries simultaneously via email and Telegram
• ✅ Ensures you stay informed across your preferred communication platforms
• ✅ Provides flexibility in how you consume your daily news digest

AI-Powered Content Processing

• ✅ Uses ScrapeGraphAI to convert web articles into clean, readable markdown
• ✅ Employs multiple AI models (OpenAI GPT and Google Gemini) for robust content extraction
• ✅ Generates structured, coherent summaries that highlight key concepts and main ideas

Quality Content Filtering

• ✅ Automatically filters out outdated content (older than 24 hours)
• ✅ Focuses on the most recent and relevant articles
• ✅ Processes only high-quality content through intelligent extraction algorithms

How it Works

1. Trigger & Data Fetching: The workflow starts manually. It reads a specified RSS feed and immediately filters the items to keep only those published within the last 24 hours, ensuring the digest is current.

2. Content Processing: For each recent article (up to a limit of 3), the workflow performs a two-step process:

   • Scraping: It visits the article’s URL using ScrapeGraphAI to extract the main content and convert it into clean text.
   • Information Extraction: A Language Model (Google Gemini) analyzes the scraped text to identify and extract the most relevant information, discarding superfluous content like ads or navigation menus.

3. Digest Generation & Delivery: The extracted content from all articles is aggregated. A powerful Language Model (OpenAI) is then instructed to synthesize this information into a well-structured summary with a clear subject and body, formatted as an email. Finally, this generated digest is sent simultaneously to a specified email address via Gmail and to a Telegram channel or chat.

Set up Steps

Before executing the workflow, you need to configure the following steps:

1. Install the Community Node: Install the ScrapeGraphAI node from the n8n community nodes list. This node is essential for scraping article content and is not part of the core n8n installation.

2. Configure Credentials: Ensure the following credentials are correctly set up in your n8n instance:

   • ScrapegraphAI account: For the web scraping functionality.
   • OpenAi account: For the summary generation.
   • Gmail account: To send the email.
   • Telegram account: To send the Telegram message.

3. Set Key Parameters: Update the workflow with your specific details:

   • In the “RSS Read” node: Replace URL_FEED with the actual URL of the RSS feed you want to monitor.
   • In the “Send to Telegram” node: Replace YOUR_CHAT_ID with the unique identifier of your Telegram channel or chat.

Need help customizing?

Contact me for consulting and support or add me on Linkedin.

🔗 Nodes Used

RSS Read, Telegram, Gmail, Filter, Basic LLM Chain, OpenAI Chat Model

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup