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Create LinkedIn contributions with AI and notify users on Slack

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Create LinkedIn contributions with AI and notify users on Slack 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 automates the process of gathering LinkedIn advice articles, extracting their content, and generating unique contributions for each article using an AI model. The contributions are th...

Best for

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

Tools used

n8n-nodes-base.httprequest, n8n-nodes-base.stickynote, n8n-nodes-base.manualtrigger, n8n-nodes-base.merge, n8n-nodes-base.code, n8n-nodes-base.splitout, n8n-nodes-base.scheduletrigger, @n8n/n8n-nodes-langchain.openai

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Create LinkedIn contributions with AI and notify users on Slack
Workflow name
Create LinkedIn contributions with AI and notify users on Slack

This workflow automates the process of gathering LinkedIn advice articles, extracting their content, and generating unique contributions for each article using an AI model. The contributions are then posted to a Slack channel and a NocoDB database for record-keeping. The workflow is triggered weekly to ensure new articles are continuously collected and responded to.

Who is this for?

This workflow is designed for professionals, marketers, and content creators looking to boost their LinkedIn presence by regularly engaging with LinkedIn advice articles. It’s especially useful for those who want to be seen as a "thought leader" or "top voice" in their niche by contributing relevant and unique advice to trending topics.

What problem is this workflow solving?

Manually searching for relevant LinkedIn articles, reading through them, and crafting thoughtful contributions can be time-consuming. This workflow solves that by automating the process of finding new articles, extracting key content, and generating AI-powered contributions. It helps users stay consistently active on LinkedIn, contributing value to trending discussions.

What this workflow does

  1. Triggers Weekly: The workflow is set to run every Monday at 8:00 AM.
  2. Search Google for LinkedIn Advice Articles: Uses a predefined Google search URL to find the latest LinkedIn advice articles based on the user's area of expertise.
  3. Extract LinkedIn Article Links: A code node extracts all LinkedIn advice article links from the search results.
  4. Retrieve Article Content: For each article link, the workflow retrieves the HTML content and extracts the article title, topics, and existing contributions.
  5. Generate AI-Powered Contributions: The workflow sends the extracted article content to an AI model, which generates unique, helpful advice for each topic within the article.
  6. Post to Slack & NocoDB: The AI-generated contributions, along with the article links, are posted to a designated Slack channel and stored in a NocoDB database for future reference.

Setup

  1. Google Search URL: Update the Google search URL with the relevant LinkedIn advice query for your field (e.g., "site:linkedin.com/advice 'marketing automation'").
  2. Slack Integration: Connect your Slack account and specify the Slack channel where you want the contributions to be posted.
  3. NocoDB Integration: Set up your NocoDB project to store the generated contributions along with the article titles and links.

How to customize this workflow

  • Change Search Terms: Modify the Google search URL to focus on a different LinkedIn topic or expertise area.
  • Adjust Trigger Frequency: The workflow is set to run weekly, but you can adjust the frequency by changing the schedule trigger.
  • Enhance Contribution Quality: Customize the AI model's prompt to generate contributions that align with your brand voice or content strategy.

Workflow Summary

This workflow helps users maintain a consistent presence on LinkedIn by automating the discovery of new advice articles and generating unique contributions using AI. It is ideal for professionals who want to engage with LinkedIn content regularly without spending too much time manually searching and drafting responses.

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 - Get advice articles from a Google search

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

Block 2 - Sticky Note2

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

Block 3 - When clicking ‘Test workflow’

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

Block 4 - Merge data and keep unique google search results

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

Block 5 - Extract Article links for LinkedIn advice articles

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

Block 6 - Split Out all links for LinkedIn advice articles

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

Block 7 - Schedule Trigger Every Monday, @ 08:00am

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

Block 8 - LinkedIn Contribution Writer

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.4

Block 9 - Post new LinkedIn contributions to NocoDB (CreateRows)

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

Block 10 - Post new LinkedIn contributions to Slack channel

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

Block 11 - Get all LinkedIn contributions from database NocoDB (GetRows)

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

Block 12 - HTML extract LinkedIn article & other users contributions

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

Block 13 - HTTP Request to get LinkedIn advice articles

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

Block 14 - Sticky Note1

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

Block 15 - Sticky Note11

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

Block 16 - Sticky Note14

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

Block 17 - Sticky Note9

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

Block 18 - Sticky Note15

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

Block 19 - Sticky Note

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

Block 23 - Sticky Note6

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

Block 24 - Sticky Note7

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

Showing the first 24 of 33 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Create LinkedIn contributions with AI and notify users on Slack
Complexity advanced
Nodes 33
Categories Content Creation, Multimodal AI
Author Darryn Balanco
Published 23 Oct 2024

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/2491/2491.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 LinkedIn contributions with AI and notify users on Slack do?

This workflow automates the process of gathering LinkedIn advice articles, extracting their content, and generating unique contributions for each article using an AI model. The contributions are th...

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, Multimodal AI use case.