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Product review analysis with BrowserAct & Gemini-powered recommendations

Madame AI Team | KaiMadame AI Team | Kai
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2/3/2026
Lead GenerationFormstackAutomationSalesforceCRM
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Product Review Analysis with BrowserAct & Gemini-Powered Recommendations.

This n8n template demonstrates how to perform product review sentiment analysis and generate improvement recommendations using an AI Agent.

This workflow is perfect for e-commerce store owners, product managers, or marketing teams who want to automate the process of collecting feedback and turning it into actionable insights.

How it works

  • The workflow is triggered manually.
  • An HTTP Request node initiates a web scraping task with the BrowserAct API to collect product reviews.
  • A series of If and Wait nodes are used to check the status of the scraping task. If the task is not yet complete, the workflow pauses and retries until it receives the full dataset.
  • An AI Agent node, powered by Google Gemini, then processes the scraped review summaries. It analyzes the sentiment of each review and generates actionable improvement recommendations.
  • Finally, the workflow sends these detailed recommendations via a Telegram message and an Email to the relevant stakeholders.

Requirements

  • BrowserAct API account for web scraping
  • BrowserAct "Product Review Sentiment Analysis" Template
  • Gemini account for the AI Agent
  • Telegram and SMTP credentials for sending messages

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Workflow Guidance and Showcase

Product Review Analysis with BrowserAct & Gemini-Powered Recommendations

This n8n workflow provides a robust solution for analyzing product reviews and generating AI-powered recommendations. It leverages the power of an AI agent (likely configured with a browser automation tool, hinted by the directory name "BrowserAct") to gather data and Google Gemini for intelligent analysis and response generation. The workflow includes human-in-the-loop (HITL) elements, allowing for review and approval before sending out recommendations via email or Telegram.

What it does

  1. Manual Trigger: The workflow is initiated manually, allowing for on-demand analysis of product reviews.
  2. AI Agent for Data Gathering: An AI Agent (likely configured to use a browser automation tool like BrowserAct, though not explicitly defined in the JSON, it's a strong inference from the directory name) is invoked to perform tasks, presumably gathering product review data from a specified source.
  3. Google Gemini Chat Model: The gathered data is then processed by the Google Gemini Chat Model, which analyzes the reviews and generates recommendations or summaries.
  4. Conditional Logic (If Statement): The workflow uses an "If" node to introduce conditional logic, allowing it to branch based on the outcome of the AI analysis or other criteria. This could be used to determine if a review requires further action or if the recommendation is ready to be sent.
  5. Human-in-the-Loop (HITL) with Telegram: If a condition is met (e.g., a review needs human attention or approval), a message is sent via Telegram. This allows for a human operator to review the AI's output.
  6. Wait for Human Action: A "Wait" node is included, likely to pause the workflow until a human responds or takes action based on the Telegram notification.
  7. Send Email: Based on the workflow's logic, a final recommendation or summary can be sent out via email. This could be to a product manager, customer service, or directly to a customer.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance.
  • AI Agent Credential: Configuration for the AI Agent node, which might involve API keys or setup for a browser automation tool (e.g., BrowserAct).
  • Google Gemini API Key: Access to the Google Gemini API for the Chat Model.
  • Telegram Bot Token: A Telegram bot token and chat ID for sending notifications.
  • SMTP Credentials: SMTP server details for sending emails.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Set up your Google Gemini Chat Model credentials with your API key.
    • Configure your Telegram credentials with your bot token and chat ID.
    • Set up your Send Email credentials with your SMTP server details.
    • Configure the AI Agent node with the necessary credentials or settings for your chosen browser automation tool.
  3. Customize Nodes:
    • Adjust the AI Agent node to specify how it should gather product review data (e.g., URLs to scrape, specific elements to extract).
    • Modify the prompt in the Google Gemini Chat Model to tailor the review analysis and recommendation generation to your specific needs.
    • Update the conditions in the If node to define your desired branching logic.
    • Customize the messages sent by the Telegram and Send Email nodes.
    • Adjust the duration of the Wait node as needed.
  4. Execute the Workflow: Click "Execute Workflow" on the "Manual Trigger" node to run the workflow.

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