Block 1 - Structured Output Parser
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.3
Compare products and generate visual scorecards in Telegram with BrowserAct and Gemini
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1. Workflow Overview
Compare products and generate visual scorecards in Telegram using BrowserAct & Nano banana This workflow acts as an expert shopping assistant that analyzes product comparisons from first principles...
Best for
- Market Research automation workflows
- AI Chatbot automation workflows
- advanced n8n builders looking for reusable templates
Tools used
@n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.splitinbatches, n8n-nodes-base.telegramtrigger, n8n-nodes-base.switch, n8n-nodes-base.telegram, n8n-nodes-base.googlesheets
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 source1.1 Workflow description
- Title
- Compare products and generate visual scorecards in Telegram with BrowserAct and Gemini
- Workflow name
- Compare products and generate visual scorecards in Telegram with BrowserAct and Gemini
Compare products and generate visual scorecards in Telegram using BrowserAct & Nano banana
This workflow acts as an expert shopping assistant that analyzes product comparisons from first principles and generates a high-quality visual infographic with the verdict. Instead of reading endless reviews, simply ask the bot (e.g., "iPhone 15 vs S24"), and it will scrape data, analyze it using AI, and render a "Winner Takes All" image card directly in your chat.
Target Audience
Shoppers, tech enthusiasts, product reviewers, and anyone who wants objective, data-driven buying advice without the fluff.
How it works
- Understand Intent: The workflow receives a message via Telegram. An AI Classifier determines if you want to chat casually or compare specific products.
- Scrape Data: If a comparison is requested, BrowserAct executes a background task to scrape real-time specifications, pricing, and reviews from relevant sites (like Amazon or G2) for each product.
- Deep Analysis: An AI Analyst aggregates the data and evaluates it based on Composition, Performance, and Economics to find an objective winner.
- Visual Engineering: A second AI Agent generates a detailed "blueprint" prompt for a comparison infographic, highlighting the key differences and the winner.
- Render & Deliver: Google Gemini generates a 4K image based on the blueprint, which is then sent to your Telegram chat along with a formatted summary caption.
How to set up
- Configure Credentials: Connect your Telegram, Google Sheets, BrowserAct, and Google Gemini accounts in n8n.
- Prepare BrowserAct: Ensure the Product Comparison & Visualize Bot template is saved in your BrowserAct account.
- Setup Google Sheet: Create a new Google Sheet to serve as a temporary data store.
- Connect Sheet: Open the Get row(s) in sheet and Append row in sheet nodes and paste your spreadsheet ID.
- Configure Telegram: Ensure your bot is created via BotFather and the API token is added to the Telegram credentials.
- Activate: Turn on the workflow.
Requirements
- BrowserAct account with the Product Comparison & Visualize Bot template.
- Telegram account (Bot Token).
- Google Sheets account.
- Google Gemini account.
How to customize the workflow
- Change Image Style: Modify the system prompt in the Generate Image and Description agent to change the aesthetic of the infographic (e.g., "Minimalist," "Cyberpunk," "Corporate").
- Adjust Analysis Logic: Update the system prompt in the Analyze the data agent to weigh certain factors more heavily (e.g., prioritize "Price" over "Performance").
- Add More Sources: Update the BrowserAct template to scrape specialized niche sites for better data accuracy.
Need Help?
- How to Find Your BrowserAct API Key & Workflow ID
- How to Connect n8n to BrowserAct
- How to Use & Customize BrowserAct Templates
Workflow Guidance and Showcase Video
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 2 - Validate user Input
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 3
Block 3 - Google Gemini
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
- Config choices
- Version 1
Block 4 - Loop Over Items
- Type / Role
- n8n-nodes-base.splitInBatches - splitInBatches
- Config choices
- Version 3
Block 5 - Structured Output
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.3
Block 6 - Structured Output1
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.3
Block 7 - Generate Image and Description
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 3
Block 8 - Analyze the data
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 3
Block 9 - User Sends Message to Bot
- Type / Role
- n8n-nodes-base.telegramTrigger - telegramTrigger
- Config choices
- Version 1.2
Block 10 - Validation Type Switch
- Type / Role
- n8n-nodes-base.switch - switch
- Config choices
- Version 3.4
Block 11 - Process Initialization Alert
- Type / Role
- n8n-nodes-base.telegram - telegram
- Config choices
- Version 1.2
Block 12 - Clear Database
- Type / Role
- n8n-nodes-base.googleSheets - googleSheets
- Config choices
- Version 4.7
Block 13 - Split Out Extracted Products
- Type / Role
- n8n-nodes-base.splitOut - splitOut
- Config choices
- Version 1
Block 14 - Search for each product's data.
- Type / Role
- n8n-nodes-browseract.browserAct - browserAct
- Config choices
- Version 1
Block 15 - Save Product Information to Database
- Type / Role
- n8n-nodes-base.googleSheets - googleSheets
- Config choices
- Version 4.7
Block 16 - Google Gemini 1
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
- Config choices
- Version 1
Block 17 - Google Gemini 2
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
- Config choices
- Version 1
Block 18 - Google Gemini 3
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
- Config choices
- Version 1
Block 19 - Retrieve Data from Database
- Type / Role
- n8n-nodes-base.googleSheets - googleSheets
- Config choices
- Version 4.7
Block 20 - Aggregate Google Sheet Data
- Type / Role
- n8n-nodes-base.aggregate - aggregate
- Config choices
- Version 1
Block 21 - Generate Comparison Image
- Type / Role
- @n8n/n8n-nodes-langchain.googleGemini - googleGemini
- Config choices
- Version 1
Block 22 - Send Photo Message to Bot
- Type / Role
- n8n-nodes-base.telegram - telegram
- Config choices
- Version 1.2
Block 23 - Answer the User
- Type / Role
- n8n-nodes-base.telegram - telegram
- Config choices
- Version 1.2
Block 24 - Conversational AI
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 3
Showing the first 24 of 31 workflow blocks. Download the JSON for the full node graph.
3. Summary Table
| Workflow | Compare products and generate visual scorecards in Telegram with BrowserAct and Gemini |
|---|---|
| Complexity | advanced |
| Nodes | 31 |
| Categories | Market Research, AI Chatbot |
| Author | Madame AI Team | Kai |
| Published | 01 Jan 2026 |
4. Reproducing the Workflow from Scratch
-
1. Download the workflow JSON
Use the JSON export at /data/workflows/12357/12357.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.
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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.
Frequently asked questions
What does Compare products and generate visual scorecards in Telegram with BrowserAct and Gemini do?
Compare products and generate visual scorecards in Telegram using BrowserAct & Nano banana This workflow acts as an expert shopping assistant that analyzes product comparisons from first principles...
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 Chatbot use case.