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Generate podcast topic ideas from RSS feeds with Gemini, SerpAPI and Notion

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1. Workflow Overview

Automated AI content researcher: YouTube & RSS to Notion via Gemini This workflow is basically my shortcut for researching popular topics to create p...

Best for

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

Tools used

@n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.notion, n8n-nodes-base.splitout, @n8n/n8n-nodes-langchain.toolserpapi, n8n-nodes-base.stickynote, n8n-nodes-base.telegram, n8n-nodes-base.scheduletrigger, n8n-nodes-base.googlesheets

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Generate podcast topic ideas from RSS feeds with Gemini, SerpAPI and Notion
Workflow name
Generate podcast topic ideas from RSS feeds with Gemini, SerpAPI and Notion

🤖 Automated AI content researcher: YouTube & RSS to Notion via Gemini

This workflow is basically my shortcut for researching popular topics to create podcast content on without spending all day on YouTube, scrolling X and reading websites.

It grabs the latest videos and articles from the last 24 hours, runs them through Gemini Pro (with SerpAPI to double-check inputs), and then spits out actual content hooks and thumbnail ideas.

Everything gets cleaned up into a neat Notion database so I can just log in, see what's hot, and start working on the podcast.

What you need To use this workflow, you need credentials for the following services:

Google Gemini API: (Free tier available via Google AI Studio) for the LLM.

SerpAPI: To allow the AI Agent to browse live Google search results.

Google Sheets: To maintain your list of target RSS feeds.

Notion: For storing the researched content.

Telegram: For mobile notifications.

Resources Video Tutorial: https://youtu.be/IoHayi68Ckk

Created by: Scalo Labs

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 - Google Gemini Chat Model

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

Block 2 - Create a database page

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

Block 3 - Split Out

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

Block 4 - SerpAPI

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

Block 5 - Sticky Note

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

Block 6 - Send a text message

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

Block 7 - Execute every 24H

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.3

Block 8 - Get list of RSS channels/sites

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

Block 9 - Loop Over Rows In Sheet

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

Block 10 - Scrape RSS for each link

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

Block 11 - Filter for latest content (Last 24H)

Type / Role
n8n-nodes-base.filter - filter
Config choices
Version 2.3

Block 12 - Aggregate Results

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

Block 13 - AI Agent Prompt For Content Research

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 14 - Structured Output Parser - fixed JSON format

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

Block 15 - Sticky Note2

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

Block 16 - Sticky Note3

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

Block 17 - Sticky Note4

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

3. Summary Table

Workflow Generate podcast topic ideas from RSS feeds with Gemini, SerpAPI and Notion
Complexity advanced
Nodes 17
Categories Content Creation, AI Summarization
Author Adil Khan
Published 17 Jan 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/12780/12780.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 Generate podcast topic ideas from RSS feeds with Gemini, SerpAPI and Notion do?

Automated AI content researcher: YouTube & RSS to Notion via Gemini This workflow is basically my shortcut for researching popular topics to create p...

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 Content Creation, AI Summarization use case.