LinkedIn Multilingual Comment, Mention, and Reaction Generator

Name: LinkedIn Multilingual Comment, Mention, and Reaction Generator
Rating: 5 (5 reviews)
Author: Free N8N

Intermediate

16 nodes connected

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Free N8N Temples

443 views

12 downloads

Social Mediaaiautomationcommentlinkedinllmmultilingualreactionsocial-media

Automates LinkedIn engagement by generating multilingual comments and reactions based on post content and user-defined guardrails.

About This Workflow

This workflow automates LinkedIn engagement by creating and posting comments and reactions to LinkedIn posts. It leverages AI models (OpenAI and Anthropic) to understand post content, determine appropriate reactions and comment sentiment, and generate responses in specified languages. The workflow begins with a Telegram trigger, filters users, extracts post IDs, fetches post content, determines language and mood, sets reactions and comment properties, and finally sends the comment and reaction to LinkedIn via the Unipile API. User input is required for Unipile API credentials and personalized prompt settings.

Key Features

Multilingual Support: Generates comments and extracts information in multiple languages (currently focused on English and Chinese through AI model capabilities).
AI-Powered Content Analysis: Uses LLMs to understand post content, sentiment, and extract key information.
Automated Reactions: Suggests and applies appropriate LinkedIn reactions (like, celebrate, support, etc.).
Smart Comment Generation: Creates contextually relevant and personalized comments, including mentions.
User Approval Flow: Implements a Telegram-based approval mechanism before posting.
API Integration: Connects to the Unipile API for posting comments and reactions.
Customizable Prompts: Allows for detailed configuration of AI prompts, including role, tone, and comment length.

How To Use

Telegram Trigger Setup: Configure a Telegram bot and use the URL Trigger and Approve oder Disapprove nodes with your YOUR TELEGRAM ACCOUNT credentials.
User Filtering: Use the Check Telegram User id node to filter messages from authorized users.
Guardrails & API Keys: In the Defining guardrails node, provide your unipile_account_id, unipile_X-API-KEY, and unipile_DSN. Replace placeholder values.
Post ID Extraction: The Extract the ID of the LinkedIn post node (using OpenAI) will extract the post ID from the provided URL.
Post Content Fetching: The Extract the content of the LinkedIn post node fetches the post details using the Unipile API.
Language and Mood Detection: The Determine language and mood node (using OpenAI) analyzes the post content to identify the language and sentiment.
Reaction Setting: The Set reaction node (using OpenAI) determines an appropriate LinkedIn reaction.
Comment Property Setting: The Set comment and prompt properties node prepares variables for comment generation, including author details, content, and AI prompt parameters.
Comment Creation: The Create comment node (using OpenAI and potentially Anthropic) generates the comment text based on the post content, determined language, mood, and custom prompt settings.
Comment Content Formatting: The Set comment content node formats the generated comment for posting.
Approval Flow: The Approve oder Disapprove node (Telegram) waits for user approval (or disapproval) for the generated comment and reaction. Based on approval, the workflow proceeds to either send the comment/reaction or stop.
Sending Actions: If approved, the Send comment and Send reaction nodes post the generated content to LinkedIn via the Unipile API.

Important Configuration Notes:

Replace all placeholder values like YOUR UNIPILE ACCOUNT ID, YOUR UNIPILE X-API, YOUR UNIPILE DSN, YOUR ROLE, YOUR COMMENT LENGTH, and example openers.
Ensure your OpenAI and Anthropic API keys are correctly configured in n8n.
Adjust the systemMessage in the AI nodes (Extract the ID of the LinkedIn post, Determine language and mood, Set reaction, Create comment) to fine-tune the AI's behavior and output format.

Apps Used

automation

comment

llm

multilingual

reaction

social-media

Workflow JSON

{
  "id": "9d2b8348-7a93-44b0-9468-491316642749",
  "name": "LinkedIn Multilingual Comment, Mention, and Reaction Generator",
  "nodes": 16,
  "category": "Social Media",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.

Get This Workflow

ID: 9d2b8348-7a93...

About the Author

DevOps_Master_X

Infrastructure Expert

Specializing in CI/CD pipelines, Docker, and Kubernetes automations.

Statistics

Downloads12

Rating5/5

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Telegram Trigger Setup: Configure a Telegram bot and use the URL Trigger and Approve oder Disapprove nodes with your YOUR TELEGRAM ACCOUNT credentials.
User Filtering: Use the Check Telegram User id node to filter messages from authorized users.
Guardrails & API Keys: In the Defining guardrails node, provide your unipile_account_id, unipile_X-API-KEY, and unipile_DSN. Replace placeholder values.
Post ID Extraction: The Extract the ID of the LinkedIn post node (using OpenAI) will extract the post ID from the provided URL.
Post Content Fetching: The Extract the content of the LinkedIn post node fetches the post details using the Unipile API.
Language and Mood Detection: The Determine language and mood node (using OpenAI) analyzes the post content to identify the language and sentiment.
Reaction Setting: The Set reaction node (using OpenAI) determines an appropriate LinkedIn reaction.
Comment Property Setting: The Set comment and prompt properties node prepares variables for comment generation, including author details, content, and AI prompt parameters.
Comment Creation: The Create comment node (using OpenAI and potentially Anthropic) generates the comment text based on the post content, determined language, mood, and custom prompt settings.
Comment Content Formatting: The Set comment content node formats the generated comment for posting.
Approval Flow: The Approve oder Disapprove node (Telegram) waits for user approval (or disapproval) for the generated comment and reaction. Based on approval, the workflow proceeds to either send the comment/reaction or stop.
Sending Actions: If approved, the Send comment and Send reaction nodes post the generated content to LinkedIn via the Unipile API.

Important Configuration Notes:

Replace all placeholder values like YOUR UNIPILE ACCOUNT ID, YOUR UNIPILE X-API, YOUR UNIPILE DSN, YOUR ROLE, YOUR COMMENT LENGTH, and example openers.
Ensure your OpenAI and Anthropic API keys are correctly configured in n8n.
Adjust the systemMessage in the AI nodes (Extract the ID of the LinkedIn post, Determine language and mood, Set reaction, Create comment) to fine-tune the AI's behavior and output format.

{ "id": "9d2b8348-7a93-44b0-9468-491316642749", "name": "LinkedIn Multilingual Comment, Mention, and Reaction Generator", "nodes": 16, "category": "Social Media", "status": "active", "version": "1.0.0" }