LinkedIn Multilingual Comment, Mention, and Reaction Generator
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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 TriggerandApprove oder Disapprovenodes with yourYOUR TELEGRAM ACCOUNTcredentials. - User Filtering: Use the
Check Telegram User idnode to filter messages from authorized users. - Guardrails & API Keys: In the
Defining guardrailsnode, provide yourunipile_account_id,unipile_X-API-KEY, andunipile_DSN. Replace placeholder values. - Post ID Extraction: The
Extract the ID of the LinkedIn postnode (using OpenAI) will extract the post ID from the provided URL. - Post Content Fetching: The
Extract the content of the LinkedIn postnode fetches the post details using the Unipile API. - Language and Mood Detection: The
Determine language and moodnode (using OpenAI) analyzes the post content to identify the language and sentiment. - Reaction Setting: The
Set reactionnode (using OpenAI) determines an appropriate LinkedIn reaction. - Comment Property Setting: The
Set comment and prompt propertiesnode prepares variables for comment generation, including author details, content, and AI prompt parameters. - Comment Creation: The
Create commentnode (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 contentnode formats the generated comment for posting. - Approval Flow: The
Approve oder Disapprovenode (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 commentandSend reactionnodes 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
systemMessagein 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
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.
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