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Daily RSS feed summarizer with Gemini AI to Slack with X sharing option

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Daily RSS feed summarizer with Gemini AI to Slack with X sharing option preview
Open on n8n.io

Important notice

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

1. Workflow Overview

How it works This workflow fetches RSS feeds daily and sends a notification to Slack if new topics are found. Since standard RSS snippets are often insufficient, the AI visits the source links to s...

Best for

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

Tools used

n8n-nodes-base.slack, n8n-nodes-base.stickynote, n8n-nodes-base.scheduletrigger, n8n-nodes-base.rssfeedread, n8n-nodes-base.splitinbatches, n8n-nodes-base.set, n8n-nodes-base.code, n8n-nodes-base.executeworkflowtrigger

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Daily RSS feed summarizer with Gemini AI to Slack with X sharing option
Workflow name
Daily RSS feed summarizer with Gemini AI to Slack with X sharing option

How it works

This workflow fetches RSS feeds daily and sends a notification to Slack if new topics are found.

Since standard RSS snippets are often insufficient, the AI visits the source links to summarize the full articles and sends the summaries to Slack. You can then share interesting topics directly to X from Slack using the button.

How to use

  • Open the Gemini Chat Model node (attached to the AI Agent) and set up the Credential.
  • Open the Slack node and set up the Credential to allow sending messages.
    • You can create a new Slack App here.
  • Finally, open the Config node and update the rssUrls parameter with the RSS feed URLs you want to follow.

Customizing this workflow

  • You can adjust the number of topics fetched per RSS feed by modifying the takeCount parameter in the Config node.

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 - Send a message

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

Block 2 - Sticky Note

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

Block 3 - Schedule Trigger

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

Block 4 - RSS Read

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

Block 5 - Loop Over Items

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

Block 6 - Config

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

Block 7 - Convert to loop items

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 8 - When Executed by Another Workflow

Type / Role
n8n-nodes-base.executeWorkflowTrigger - executeWorkflowTrigger
Config choices
Version 1.1

Block 9 - Filter Rss Feeds

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 10 - HttpRequestTool

Type / Role
n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices
Version 4.2

Block 11 - AI Agent (Access URL)

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 12 - Google Gemini Chat Model

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

Block 13 - Format Request

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 14 - Format Response

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 15 - Call Sub-workflow

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

Block 16 - Sticky Note1

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

Block 17 - Sticky Note2

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

Block 18 - Is not empty

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

3. Summary Table

Workflow Daily RSS feed summarizer with Gemini AI to Slack with X sharing option
Complexity advanced
Nodes 18
Categories Content Creation, AI Summarization
Author Hirokazu Kawamoto
Published 15 Dec 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/11813/11813.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 Daily RSS feed summarizer with Gemini AI to Slack with X sharing option do?

How it works This workflow fetches RSS feeds daily and sends a notification to Slack if new topics are found. Since standard RSS snippets are often insufficient, the AI visits the source links to s...

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.