Research-to-social post generator with Perplexity AI and Facebook Graph API
Who’s it for
Teams that want to turn a chat prompt into a researched, ready-to-post social update—optionally published to Facebook.
What it does / How it works
- Chat Trigger receives the user prompt
- Topic Agent optionally calls a research sub-workflow for fresh sources
- Outputs are validated into a structured JSON
- Post Writing Agent crafts a concise Vietnamese post
- (Optional) Facebook Graph API publishes to your Page
How to set up
- Connect OpenAI & Facebook in Credentials (no API key inside nodes).
- In Tool: Call Perplexity Researcher, set your research
workflowId. - In Publish: Facebook Graph API, set your Page ID and edge.
- Adjust prompts/tone and the
LANGUAGEin CONFIG. - Test the flow with sample prompts in the chat.
Requirements
- n8n (Cloud or self-hosted)
- OpenAI API key (stored in Credentials)
- Facebook Page publish permissions
- (Optional) a research workflow for Perplexity
How to customize the workflow
- Add moderation/review gates before publishing.
- Duplicate the publish path for other platforms.
- Store outputs in Sheets/Notion/DB for auditing.
- Tune model choice & temperature for your brand voice.
Security
- Avoid hardcoding secrets in HTTP or Code nodes.
- Keep identifiers (Page IDs, workflowIds) configurable in CONFIG.
n8n Research to Social Post Generator with Perplexity AI and Facebook Graph API
This n8n workflow automates the process of generating social media posts from research topics using AI and then publishing them to a Facebook page. It leverages LangChain AI agents for intelligent content creation and the Facebook Graph API for publishing.
What it does
This workflow streamlines the content creation and publishing process by:
- Triggering on a Chat Message: Initiates when a chat message is received, likely containing a research topic or prompt.
- Setting Initial Fields: Prepares the input data for the AI agent.
- Generating Social Post Content with AI: Uses a LangChain AI Agent, powered by an OpenAI Chat Model, to generate a social media post based on the input research topic. It utilizes a "Call n8n Workflow Tool" which suggests the AI agent might be interacting with other n8n workflows or functionalities to gather information or perform specific tasks (e.g., searching for research data).
- Parsing AI Output: Employs a Structured Output Parser to extract the generated social media post content in a structured format.
- Publishing to Facebook: Posts the generated content to a specified Facebook page using the Facebook Graph API.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- OpenAI API Key: For the OpenAI Chat Model to generate content.
- Facebook Graph API Credentials: A Facebook App and an access token with appropriate permissions to post to a Facebook page.
- LangChain Nodes: Ensure the
@n8n/n8n-nodes-langchainpackage is installed in your n8n instance.
Setup/Usage
- Import the Workflow: Import the provided JSON into your n8n instance.
- Configure Credentials:
- OpenAI Chat Model: Set up your OpenAI API credentials.
- Facebook Graph API: Configure your Facebook Graph API credentials, including your Access Token and Page ID.
- Configure the Chat Trigger: Set up the "When chat message received" trigger according to your preferred chat platform (e.g., Slack, Telegram, Discord, etc.) or webhook. This will be the input for your research topic.
- Review AI Agent Configuration: Examine the "AI Agent" node and its associated tools ("OpenAI Chat Model", "Call n8n Workflow Tool", "Structured Output Parser") to understand how the content generation is configured. You might need to adjust the prompts or the "Call n8n Workflow Tool" to point to an existing workflow that fetches research data if that's its intended purpose.
- Activate the Workflow: Once configured, activate the workflow. It will then listen for chat messages, generate social posts, and publish them to Facebook.
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