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Post daily Verge tech updates to LinkedIn with Gemini and Airtable

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Post daily Verge tech updates to LinkedIn with Gemini and Airtable preview
Open on n8n.io

1. Workflow Overview

Quick overview This workflow runs daily, reads the latest articles from The Verge RSS feed, uses Google Gemini to select and rewrite one story into an Airtable ready record plus a formatted LinkedI...

Best for

  • Social Media automation workflows
  • Multimodal AI automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.aggregate, n8n-nodes-base.scheduletrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.toolthink, @n8n/n8n-nodes-langchain.toolcalculator, @n8n/n8n-nodes-langchain.toolwikipedia, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.lmchatgooglegemini

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Post daily Verge tech updates to LinkedIn with Gemini and Airtable
Workflow name
Post daily Verge tech updates to LinkedIn with Gemini and Airtable

Quick overview

This workflow runs daily, reads the latest articles from The Verge RSS feed, uses Google Gemini to select and rewrite one story into an Airtable-ready record plus a formatted LinkedIn post, generates an image with Gemini, then publishes the post to LinkedIn and logs the result in Airtable.

How it works

  1. Runs every day at 6:35 PM on a schedule.
  2. Fetches the latest items from The Verge RSS feed and keeps only the 10 most recent entries.
  3. Aggregates titles, links, publish dates, authors, and content into index-aligned arrays for batch processing.
  4. Uses a Google Gemini-powered agent (with optional Wikipedia and calculator tools) to pick the best article, clean the text, categorize it, generate an image prompt, and produce structured output for Airtable plus a formatted LinkedIn post.
  5. Generates a LinkedIn-ready image using Gemini based on the agent’s image prompt.
  6. Publishes the LinkedIn post with the generated image and then creates a new Airtable record that stores the post text, article URL, timestamp, and the returned LinkedIn post URL.

Setup

  1. Add Google Gemini (PaLM) API credentials for both the Gemini chat model (text generation) and the Gemini image generation step.
  2. Add a LinkedIn OAuth2 connection, set the target LinkedIn person/account, and ensure your LinkedIn app has permissions to post with images.
  3. Add an Airtable Personal Access Token, then select or update the Base and Table (and ensure the table has fields like Post Body, Article URL, Date & Time, Status, and LinkedIn Post URL).
  4. Update the RSS feed URL if you want a different source and adjust the schedule time to match your timezone and posting cadence.

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 - Aggregate Fields

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

Block 2 - Daily @ 6:35PM

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

Block 3 - AI Agent

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

Block 4 - Think

Type / Role
@n8n/n8n-nodes-langchain.toolThink - toolThink
Config choices
Version 1.1

Block 5 - Calculator

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

Block 6 - Wikipedia

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

Block 7 - Structured Output Parser

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

Block 8 - Google Gemini Chat Model

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

Block 9 - RSS

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

Block 10 - Limit

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

Block 11 - Image

Type / Role
@n8n/n8n-nodes-langchain.googleGemini - googleGemini
Config choices
Version 1.1

Block 12 - Post

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

Block 13 - Record

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

Block 14 - Sticky Note

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

Block 15 - Sticky Note1

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

Block 16 - Sticky Note2

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

Block 17 - Sticky Note3

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

Block 18 - Sticky Note4

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

3. Summary Table

Workflow Post daily Verge tech updates to LinkedIn with Gemini and Airtable
Complexity advanced
Nodes 18
Categories Social Media, Multimodal AI
Author Abdullah Al Shishani
Published 26 May 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/15964/15964.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 Post daily Verge tech updates to LinkedIn with Gemini and Airtable do?

Quick overview This workflow runs daily, reads the latest articles from The Verge RSS feed, uses Google Gemini to select and rewrite one story into an Airtable ready record plus a formatted LinkedI...

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 Social Media, Multimodal AI use case.