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

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Create personalized news digests from RSS feeds with GPT & Gemini via email/Telegram preview
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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 ...

Best for

  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.rssfeedread, n8n-nodes-base.limit, n8n-nodes-base.splitinbatches, n8n-nodes-scrapegraphai.scrapegraphai, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.filter, n8n-nodes-base.gmail

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Davide.

Original n8n.io source

1.1 Workflow description

Title
Create personalized news digests from RSS feeds with GPT & Gemini via email/Telegram
Workflow name
Create personalized news digests from RSS feeds with GPT & Gemini via email/Telegram

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  • ✅ Automatically filters out outdated content (older than 24 hours)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.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When clicking ‘Execute workflow’

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 2 - RSS Read

Type / Role
n8n-nodes-base.rssFeedRead - rssFeedRead
Config choices
Version 1.2

Block 3 - Limit

Type / Role
n8n-nodes-base.limit - limit
Config choices
Version 1

Block 4 - Loop Over Items1

Type / Role
n8n-nodes-base.splitInBatches - splitInBatches
Config choices
Version 3

Block 5 - Convert a webpage or article to clean markdown useful for blogs dev docs and more

Type / Role
n8n-nodes-scrapegraphai.scrapegraphAi - scrapegraphAi
Config choices
Version 1

Block 6 - OpenAI Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 7 - Filter

Type / Role
n8n-nodes-base.filter - filter
Config choices
Version 2.2

Block 8 - Send a message

Type / Role
n8n-nodes-base.gmail - gmail
Config choices
Version 2.1

Block 9 - OpenAI Chat Model1

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 10 - Set link

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 11 - Information Extractor

Type / Role
@n8n/n8n-nodes-langchain.informationExtractor - informationExtractor
Config choices
Version 1.2

Block 12 - Google Gemini Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 13 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Send to Telegram

Type / Role
n8n-nodes-base.telegram - telegram
Config choices
Version 1.2

Block 15 - Structured Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 16 - Generate content

Type / Role
@n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices
Version 1.7

Block 17 - Aggregate

Type / Role
n8n-nodes-base.aggregate - aggregate
Config choices
Version 1

Block 18 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 19 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 20 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 21 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 22 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Create personalized news digests from RSS feeds with GPT & Gemini via email/Telegram
Complexity advanced
Nodes 22
Categories AI Summarization
Author Davide
Published 23 Sept 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/8863/8863.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Create personalized news digests from RSS feeds with GPT & Gemini via email/Telegram do?

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 ...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your AI Summarization use case.