Product review analysis with BrowserAct & Gemini-powered recommendations

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Product Review Analysis with BrowserAct & Gemini Powered Recommendations. This n8n template demonstrates how to perform product review sentiment analysis and generate improvement recommendations us...

Best for

Market Research automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.httprequest, n8n-nodes-base.wait, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.stickynote, n8n-nodes-base.emailsendtool, n8n-nodes-base.telegramtool, n8n-nodes-base.emailsend

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Madame AI Team | Kai.

Original n8n.io source

1.1 Workflow description

Title: Product review analysis with BrowserAct & Gemini-powered recommendations
Workflow name: 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 ?

Workflow Guidance and Showcase

How to INSTANTLY Get Product Improvement Ideas from Amazon Reviews | BrowserAct + n8n + Gemini

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - HTTP Request

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 2 - HTTP Request1

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 3 - Wait

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 4 - Wait1

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 5 - If

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 6 - If1

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 7 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 8 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Send email in Send Email

Type / Role: n8n-nodes-base.emailSendTool - emailSendTool
Config choices: Version 2.1

Block 10 - Send a text message in Telegram

Type / Role: n8n-nodes-base.telegramTool - telegramTool
Config choices: Version 1.2

Block 11 - Send email

Type / Role: n8n-nodes-base.emailSend - emailSend
Config choices: Version 2.1

Block 12 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Send a text message1

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 15 - When clicking ‘Execute workflow’

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

Block 16 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 17 - Sticky Note-Start

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 18 - Sticky Note-Scraping

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 19 - Sticky Note-Wait

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 20 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 21 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 22 - Sticky Note-Help

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 23 - Sticky Note-Video

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 24 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Showing the first 24 of 27 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Product review analysis with BrowserAct & Gemini-powered recommendations
Complexity	advanced
Nodes	27
Categories	Market Research, AI Summarization
Author	Madame AI Team \| Kai
Published	23 Sept 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/8862/8862.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Market Research workflows AI Summarization workflows

Frequently asked questions

What does Product review analysis with BrowserAct & Gemini-powered recommendations do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.

Madame AI Team | Kai

50 workflows

Nodes

n8n-nodes-base.httprequest n8n-nodes-base.wait n8n-nodes-base.if @n8n/n8n-nodes-langchain.agent n8n-nodes-base.stickynote n8n-nodes-base.emailsendtool n8n-nodes-base.telegramtool n8n-nodes-base.emailsend

Complexity

advanced

Published 23 Sept 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/8862/8862.json

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Product review analysis with BrowserAct & Gemini-powered recommendations

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

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.

How it works

Requirements

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

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - HTTP Request

Block 2 - HTTP Request1

Block 3 - Wait

Block 4 - Wait1

Block 5 - If

Block 6 - If1

Block 7 - AI Agent

Block 8 - Sticky Note

Block 9 - Send email in Send Email

Block 10 - Send a text message in Telegram

Block 11 - Send email

Block 12 - Sticky Note1

Block 13 - Sticky Note2

Block 14 - Send a text message1

Block 15 - When clicking ‘Execute workflow’

Block 16 - Google Gemini Chat Model

Block 17 - Sticky Note-Start

Block 18 - Sticky Note-Scraping

Block 19 - Sticky Note-Wait

Block 20 - Sticky Note3

Block 21 - Sticky Note4

Block 22 - Sticky Note-Help

Block 23 - Sticky Note-Video

Block 24 - Sticky Note5

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions