Block 1 - Structured Output Parser
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.2
LinkedIn engagement automator with GPT-4o/Claude, human review & multilingual comments
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Important notice
This workflow is provided as-is. Please review and test before using in production.
1. Workflow Overview
Automate LinkedIn engagement without sounding like a bot. This workflow: Detects language & tone (German / English) Chooses the right reaction (like / celebrate / support …) Generates a pe...
Best for
- Social Media automation workflows
- Multimodal AI automation workflows
- advanced n8n builders looking for reusable templates
Tools used
@n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.toolthink, @n8n/n8n-nodes-langchain.lmchatanthropic, n8n-nodes-base.if, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.httprequest
Source and attribution
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Stefan.
Original n8n.io source1.1 Workflow description
- Title
- LinkedIn engagement automator with GPT-4o/Claude, human review & multilingual comments
- Workflow name
- LinkedIn engagement automator with GPT-4o/Claude, human review & multilingual comments
Automate LinkedIn engagement without sounding like a bot. This workflow: 🌍 Detects language & tone (German / English) 👍 Chooses the right reaction (like / celebrate / support …) 🗣 Generates a personalised comment in your voice and mentions the author 📲 Optional Telegram review – approve ✅ or regenerate ❌ before posting 💸 Runs on cost-efficient GPT-4o mini or Claude 3.5 Haiku ☁️ Publishes comment + reaction via the Unipile API Setup (≈ 15-30 min) Unipile – connect LinkedIn → copy account_id, dsn, then create an Access-Token (X-API-KEY). Telegram (optional) – create a bot, add a credential named YOUR TELEGRAM ACCOUNT. OpenAI / Anthropic – add your API key and keep one LLM node (delete the other). Open the “Defining guardrails” node and replace the credential placeholders. (Optional) Tweak role, comment_length and openers_example_1-3 for your brand voice. Security: no live keys included – all secrets are placeholders. Best for: solopreneurs, marketing teams, personal-branding consultants.
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 2 - OpenAI Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1.2
Block 3 - Think
- Type / Role
- @n8n/n8n-nodes-langchain.toolThink - toolThink
- Config choices
- Version 1
Block 4 - Anthropic Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatAnthropic - lmChatAnthropic
- Config choices
- Version 1.3
Block 5 - OpenAI Chat Model1
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1.2
Block 6 - Structured Output Parser1
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.2
Block 7 - Structured Output Parser2
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.2
Block 8 - If
- Type / Role
- n8n-nodes-base.if - if
- Config choices
- Version 2.2
Block 9 - OpenAI Chat Model2
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1.2
Block 10 - Defining guardrails
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 11 - Extract the ID of the LinkedIn post
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 2
Block 12 - Extract the content of the LinkedIn post
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.2
Block 13 - Set reaction
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 2
Block 14 - Set comment content
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 15 - Send comment
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.2
Block 16 - Send reaction
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.2
Block 17 - Set comment and prompt properties
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 18 - Create comment
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 2
Block 19 - Determine language and mood
- Type / Role
- @n8n/n8n-nodes-langchain.informationExtractor - informationExtractor
- Config choices
- Version 1.1
Block 20 - Check Telegram User id
- Type / Role
- n8n-nodes-base.filter - filter
- Config choices
- Version 2.2
Block 21 - Approve oder Disapprove
- Type / Role
- n8n-nodes-base.telegram - telegram
- Config choices
- Version 1.2
Block 22 - URL Trigger
- Type / Role
- n8n-nodes-base.telegramTrigger - telegramTrigger
- Config choices
- Version 1.2
3. Summary Table
| Workflow | LinkedIn engagement automator with GPT-4o/Claude, human review & multilingual comments |
|---|---|
| Complexity | advanced |
| Nodes | 22 |
| Categories | Social Media, Multimodal AI |
| Author | Stefan |
| Published | 23 Jun 2025 |
4. Reproducing the Workflow from Scratch
-
1. Download the workflow JSON
Use the JSON export at /data/workflows/5164/5164.json as the source template for this automation.
-
2. Import the template into n8n
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
-
3. Configure credentials and variables
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
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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.
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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 LinkedIn engagement automator with GPT-4o/Claude, human review & multilingual comments do?
Automate LinkedIn engagement without sounding like a bot. This workflow: Detects language & tone (German / English) Chooses the right reaction (like / celebrate / support …) Generates a pe...
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.