Extract company data from websites with Gemini AI through chat conversation

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Important notice

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

1. Workflow Overview

How it works Please send a corporate website URL via chat. The AI will investigate the company website on your behalf and return the extracted company information. Since this is set up as a convers...

Best for

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

Tools used

@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.chat, n8n-nodes-base.set, n8n-nodes-base.httprequesttool, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.agent

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Hirokazu Kawamoto.

Original n8n.io source

1.1 Workflow description

Title: Extract company data from websites with Gemini AI through chat conversation
Workflow name: Extract company data from websites with Gemini AI through chat conversation

How it works

Please send a corporate website URL via chat.

The AI will investigate the company website on your behalf and return the extracted company information.
Since this is set up as a conversational workflow, retrying or trying another URL is simple.

How to use

To get started, please set up the Credential in the Gemini node attached to the AI Agent node.
- You can obtain an API key from Google AI Studio.

Once configured, the workflow will run when you send a corporate website URL (e.g., https://example.com/) via chat.

Customizing this workflow

You can change the settings in the Config node.

You can modify targetCompanyFields to customize which company data fields are extracted.
You can modify language to receive the results in a language other than English.

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 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.4

Block 2 - Google Gemini Chat Model

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

Block 3 - ExtractedChatInput

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 4 - Request User Input

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

Block 5 - Google Gemini Chat Model1

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

Block 6 - Config

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 7 - HttpRequestTool

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

Block 8 - ParsedCsv

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 9 - Respond to Chat

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

Block 10 - ChatResponse

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 11 - Sticky Note

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

Block 12 - Request Next URL

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

Block 13 - AI Agent (Extract URL)

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 14 - Check URL

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

Block 15 - AI Agent (Access URL)

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 16 - Sticky Note1

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

Block 17 - Sticky Note2

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

3. Summary Table

Workflow	Extract company data from websites with Gemini AI through chat conversation
Complexity	advanced
Nodes	17
Categories	Market Research, AI Chatbot
Author	Hirokazu Kawamoto
Published	11 Dec 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/11682/11682.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 Chatbot workflows

Frequently asked questions

What does Extract company data from websites with Gemini AI through chat conversation 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 Chatbot use case.

Hirokazu Kawamoto

3 workflows

Nodes

@n8n/n8n-nodes-langchain.chattrigger @n8n/n8n-nodes-langchain.lmchatgooglegemini n8n-nodes-base.code @n8n/n8n-nodes-langchain.chat n8n-nodes-base.set n8n-nodes-base.httprequesttool n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.agent

Complexity

advanced

Published 11 Dec 2025

Likes 0

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Install path: /data/workflows/11682/11682.json

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Extract company data from websites with Gemini AI through chat conversation

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

How to use

Customizing this workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When chat message received

Block 2 - Google Gemini Chat Model

Block 3 - ExtractedChatInput

Block 4 - Request User Input

Block 5 - Google Gemini Chat Model1

Block 6 - Config

Block 7 - HttpRequestTool

Block 8 - ParsedCsv

Block 9 - Respond to Chat

Block 10 - ChatResponse

Block 11 - Sticky Note

Block 12 - Request Next URL

Block 13 - AI Agent (Extract URL)

Block 14 - Check URL

Block 15 - AI Agent (Access URL)

Block 16 - Sticky Note1

Block 17 - Sticky Note2

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