Website content scraper & SEO keyword extractor with GPT-5-mini and Airtable

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Important notice

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

1. Workflow Overview

This workflow allows you to scrape website content, clean the HTML, extract structured information using GPT 5 mini, and store the results along with SEO keywords into Airtable. Ideal for building ...

Best for

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

Tools used

@n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.formtrigger, n8n-nodes-base.wait, n8n-nodes-base.splitout, n8n-nodes-base.airtable, n8n-nodes-base.merge, n8n-nodes-base.stickynote, n8n-nodes-base.httprequest

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Website content scraper & SEO keyword extractor with GPT-5-mini and Airtable
Workflow name: Website content scraper & SEO keyword extractor with GPT-5-mini and Airtable

This workflow allows you to scrape website content, clean the HTML, extract structured information using GPT-5-mini, and store the results along with SEO keywords into Airtable. Ideal for building keyword lists and organizing web content for SEO research.

Setup Instructions

1. Prerequisites

n8n Community or Cloud instance
Airtable account with a base and table ready
OpenAI API Key with access to GPT-5-mini

2. Airtable Structure

Ensure your Airtable table has the following fields:

Field Name	Type	Notes
Website Name	String	Name or URL of the website
Data	String	Cleaned website text
Keyword	String	Extracted SEO keyword list
Status	Options	Values: Todo, In progress, Done

3. Node Setup

✅ Form Trigger: Collects website URL from the user.

✅ HTTP Request: Fetches the website content.

✅ HTML Cleaner (Code Node): Strips out styles, tags, and whitespace to get clean text.

✅ Topic Extractor (AI Agent + GPT-5-mini): Extracts topic-wise information from the cleaned website content.

✅ Text Cleaner (Code Node): Removes unwanted symbols like ### and **.

✅ Keyword Extractor (AI Agent + GPT-5-mini): Generates a list of 90 important SEO keywords.

✅ Airtable Upsert: Stores the cleaned data, keywords, and status in Airtable.

4. Key Features

✅ Automatic website content scraping ✅ Clean HTML and extract plain text ✅ Use GPT-5-mini for topic-wise information extraction ✅ Generate 90-keyword SEO lists ✅ Store and manage data in Airtable

5. Use Cases

SEO Keyword Research
Competitor Website Content Analysis
Structured Website Data Collection

Additional Workflow Recommendations

✅ Rename Nodes for Clarity

Current Name	Suggested Name
Website Name	Website URL Input Form
HTTP Request	Fetch Website Content
Code	HTML to Plain Text Cleaner
Split Out1	Clean Text Splitter
AI Agent1	Topic Extractor (GPT-5-mini)
Code1	Text Cleanup Formatter
Split Out2	Final Text Splitter
AI Agent	Keyword Extractor (GPT-5-mini)
Airtable	Airtable Data Upsert
Wait1	Delay Before Merge
Merge	Combine Data for Airtable

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 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 2 - Website Name

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

Block 3 - Wait1

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

Block 4 - Split Out1

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

Block 5 - Split Out2

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

Block 6 - Airtable

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

Block 7 - OpenAI Chat Model1

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 8 - Merge

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.1

Block 9 - Sticky Note

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

Block 10 - Sticky Note1

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

Block 11 - Sticky Note2

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

Block 12 - HTTP

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

Block 13 - HTML

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

Block 14 - Topic Wise information.

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.8

Block 15 - list

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 16 - Cleaned ##

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

3. Summary Table

Workflow	Website content scraper & SEO keyword extractor with GPT-5-mini and Airtable
Complexity	advanced
Nodes	16
Categories	Market Research, AI Summarization
Author	Abhishek Patoliya
Published	03 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5657/5657.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 Website content scraper & SEO keyword extractor with GPT-5-mini and Airtable 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.

Abhishek Patoliya

3 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.formtrigger n8n-nodes-base.wait n8n-nodes-base.splitout n8n-nodes-base.airtable n8n-nodes-base.merge n8n-nodes-base.stickynote n8n-nodes-base.httprequest

Complexity

advanced

Published 03 Jul 2025

Likes 0

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Install path: /data/workflows/5657/5657.json

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Website content scraper & SEO keyword extractor with GPT-5-mini and Airtable

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Setup Instructions

1. Prerequisites

2. Airtable Structure

3. Node Setup

4. Key Features

5. Use Cases

Additional Workflow Recommendations

✅ Rename Nodes for Clarity

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - OpenAI Chat Model

Block 2 - Website Name

Block 3 - Wait1

Block 4 - Split Out1

Block 5 - Split Out2

Block 6 - Airtable

Block 7 - OpenAI Chat Model1

Block 8 - Merge

Block 9 - Sticky Note

Block 10 - Sticky Note1

Block 11 - Sticky Note2

Block 12 - HTTP

Block 13 - HTML

Block 14 - Topic Wise information.

Block 15 - list

Block 16 - Cleaned ##

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