Product review analysis with BrowserAct & Gemini-powered recommendations

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 --- Need Help ? #### How to Find Your BrowseAct API Key & Workflow ID #### How to Connect n8n to Browseract #### How to Use & Customize BrowserAct Templates --- Workflow Guidance and Showcase #### How to INSTANTLY Get Product Improvement Ideas from Amazon Reviews | BrowserAct + n8n + Gemini