Automated Local Event Monitor with Bright Data MCP and OpenAI Analysis

This n8n workflow provides a robust solution for monitoring local events, extracting key details, and performing AI-driven analysis. It's designed to automate the process of gathering event information, structuring it, and then enriching it with insights from an AI model.

What it does

This workflow automates the following steps:

1. Manual Trigger: The workflow is initiated manually, allowing for on-demand execution.
2. Google Sheets (Placeholder): A Google Sheets node is present, suggesting an intended integration for either reading event data or writing processed results. Note: The current JSON does not specify an operation for this node, it's a placeholder.
3. Edit Fields (Set): This node is used to manipulate or set specific data fields within the workflow. Note: The current JSON does not specify any fields being edited.
4. Sticky Note: A sticky note is included for documentation or internal notes within the workflow.
5. Code (Placeholder): A Code node is present, indicating an intention to execute custom JavaScript logic. Note: The current JSON does not contain any custom code.
6. AI Agent (LangChain): This node likely orchestrates a series of AI tasks, potentially involving multiple tools and models, to process the event data.
7. OpenAI Chat Model (LangChain): This node integrates with OpenAI's chat models, suggesting its use for conversational AI tasks, text generation, or advanced natural language understanding related to the event data.
8. Auto-fixing Output Parser (LangChain): This node is designed to automatically correct and format the output from AI models, ensuring consistency and adherence to a desired structure.
9. Structured Output Parser (LangChain): This node parses AI model outputs into a predefined structured format (e.g., JSON), making it easier to consume and use in subsequent steps.
10. OpenAI (LangChain): This node represents a general integration with OpenAI services, which could be used for various AI tasks such as text generation, summarization, or classification of event details.

Prerequisites/Requirements

To use this workflow, you will need:

• n8n Instance: A running n8n instance.
• OpenAI API Key: Credentials for OpenAI to utilize the AI Agent, OpenAI Chat Model, and OpenAI nodes.
• Google Account: If the Google Sheets node is to be fully implemented, a Google account with access to the target spreadsheet will be required.

Setup/Usage

1. Import the workflow: Download the provided JSON and import it into your n8n instance.
2. Configure Credentials:
   • Set up your OpenAI API Key credentials within n8n.
   • If activating the Google Sheets node, configure your Google Sheets credentials (OAuth 2.0 recommended).
3. Review Placeholder Nodes:
   • Examine the Google Sheets node and configure its operation (e.g., "Read Sheet," "Append Row") and specify the spreadsheet ID and range as needed.
   • Inspect the Edit Fields node and define any specific data transformations or field assignments required.
   • If custom logic is needed, add your JavaScript code to the Code node.
4. Configure AI Nodes:
   • Adjust the prompts, models, and parameters for the AI Agent, OpenAI Chat Model, and OpenAI nodes to align with your specific event analysis requirements.
   • Ensure the Auto-fixing Output Parser and Structured Output Parser are correctly configured to handle the expected output format from your AI models.
5. Execute Workflow: Click "Execute Workflow" to run the workflow manually and observe its output.