AI-Powered Facebook Comment Management: Auto-Reply, Delete, Ban & Notify

This n8n workflow automates the management of Facebook comments, leveraging AI to analyze sentiment and content, then taking appropriate actions like auto-replying, deleting, banning users, or notifying a team. It helps maintain a positive and controlled environment on your Facebook pages by efficiently handling comments based on predefined rules and AI insights.

What it does

This workflow is designed to streamline Facebook comment moderation through a series of automated steps:

1. Manual Trigger: The workflow is initiated manually, likely for testing or on-demand processing of comments.
2. Google Sheets (Placeholder): A Google Sheets node is present, but without connections, it currently serves as a placeholder. It could be used to read a list of comments, keywords, or moderation rules, or to log moderation actions.
3. HTTP Request (Placeholder): An HTTP Request node is present without connections, serving as a placeholder. It could be used to fetch comments from a custom API, interact with other services, or send notifications.
4. Facebook Graph API (Placeholder): A Facebook Graph API node is included, but without configured operations or connections, it's a placeholder. Its intended use would be to interact with Facebook, such as fetching comments, posting replies, deleting comments, or banning users.
5. Edit Fields (Set): This node is a placeholder for data transformation, where you might prepare comment data for AI analysis or format responses.
6. Loop Over Items (Split in Batches): This node is a placeholder for processing multiple comments in batches, ensuring efficient handling of a large volume of data.
7. Split Out: This node is a placeholder for further data manipulation, potentially to extract specific fields from each comment for individual processing.
8. AI Agent: This is a core component, likely intended to analyze the content of Facebook comments. It's configured with:
   • OpenAI Chat Model: To provide the language model capabilities for the AI Agent.
   • Simple Memory: To give the AI agent a short-term memory for conversational context.
   • Think Tool: A tool for the AI agent to process and reason about the input.
9. Switch: A conditional logic node that would typically route the workflow based on the output of the AI Agent (e.g., sentiment, detected keywords, classification of the comment).
10. If: Another conditional logic node, which would further refine the routing based on specific criteria, such as whether a comment is negative, spam, or requires a specific response.
11. No Operation, do nothing: This node acts as a terminal point for certain branches of the If node, indicating that no further action is required for those specific conditions.
12. Wait: A delay node, potentially used to space out API calls or to allow time for external processes before continuing.
13. Sticky Note: A note within the workflow for documentation or explanation.

Note: Many nodes in this workflow are present as placeholders without active connections or specific configurations in the provided JSON. Their intended functionality is inferred from their type and the overall workflow title. To make this workflow fully functional, these placeholders would need to be configured and connected.

Prerequisites/Requirements

To fully utilize this workflow, you will need:

• n8n Instance: A running instance of n8n.
• Facebook Graph API Credentials: Access to the Facebook Graph API with appropriate permissions to read comments, post replies, delete comments, and manage user bans on your Facebook pages.
• OpenAI API Key: An API key for OpenAI to power the AI Agent and Chat Model for sentiment analysis and content generation.
• Google Sheets (Optional): If you plan to use Google Sheets for input, output, or logging, you will need a Google account and appropriate credentials.
• Other Services (Optional): Depending on how you configure the HTTP Request node, you might need credentials for other APIs or services for notifications (e.g., Slack, email) or custom data sources.

Setup/Usage

1. Import the Workflow: Import the provided JSON into your n8n instance.
2. Configure Credentials:
   • Set up your Facebook Graph API credentials.
   • Set up your OpenAI API credentials.
   • (Optional) Configure Google Sheets credentials if you intend to use it.
3. Configure Placeholder Nodes:
   • Google Sheets: If you want to use Google Sheets, configure it to read or write data as needed (e.g., a list of keywords, auto-replies, or a log of moderated comments).
   • HTTP Request: If you need to interact with other APIs, configure the URL, method, headers, and body.
   • Facebook Graph API: Configure this node with the specific operations you want to perform (e.g., "Get All Comments on a Post", "Create Comment", "Delete Comment", "Ban User").
   • Edit Fields (Set): Define the fields you want to add, remove, or modify.
   • Loop Over Items (Split in Batches): Configure batch size if needed.
   • Split Out: Specify the field containing the array of items to split.
4. Configure AI Agent:
   • OpenAI Chat Model: Select your OpenAI credential and choose the desired model (e.g., gpt-3.5-turbo, gpt-4).
   • Simple Memory: Adjust memory settings if necessary.
   • Think Tool: No specific configuration needed beyond its presence for the agent's reasoning.
5. Define Logic in Switch and If Nodes:
   • Switch: Configure the conditions based on the output of the AI Agent (e.g., {{ $json.sentiment === 'negative' }} or {{ $json.category === 'spam' }}).
   • If: Further refine conditions for specific actions.
6. Connect Nodes: Link the placeholder nodes to the AI Agent and the conditional logic nodes (Switch, If) to create the desired flow for comment processing and action. For example, connect the Facebook Graph API (to get comments) to the AI Agent, then the AI Agent's output to the Switch node.
7. Activate the Workflow: Once configured, activate the workflow. You can test it by manually executing the "When clicking 'Execute workflow'" trigger.