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Track competitor SEO keywords with Decodo + GPT-4.1-mini + Google Sheets

Ranjan DailataRanjan Dailata
161 views
2/3/2026
AutomationData ExtractionFile SystemExcelJSON Output
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This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping.

Who this is for

  • SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence.

  • Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls.

  • Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting.

What problem this workflow solves

Tracking competitor keywords manually is slow and inconsistent.

Most SEO tools provide limited API access or lack contextual keyword analysis.

This workflow solves that by:

  • Automatically scraping any competitor’s webpage with Decodo.
  • Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus.
  • Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis.

What this workflow does

  1. Trigger — Manually start the workflow or schedule it to run periodically.

  2. Input Setup — Define the website URL and target country (e.g., https://dev.to, france).

  3. Data Scraping (Decodo) — Fetch competitor web content and metadata.

  4. Keyword Analysis (OpenAI GPT-4.1-mini)

    • Extract primary and secondary keywords.
    • Identify focus topics and semantic entities.
    • Generate a keyword density summary and SEO strength score.
    • Recommend optimization and internal linking opportunities.

  5. Data Structuring — Clean and convert GPT output into JSON format.

  6. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking.

Setup

Prerequisites

If you are new to Decode, please signup on this link visit.decodo.com

  • n8n account with workflow editor access
  • Decodo API credentials
  • OpenAI API key
  • Google Sheets account connected via OAuth2

Make sure to install the Decodo Community node.

DecodoCommunityNode.png

  1. Create a Google Sheet

    • Add columns for: primary_keywords, seo_strength_score, keyword_density_summary, etc.
    • Share with your n8n Google account.

  2. Connect Credentials

    • Add credentials for:

      • Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard
      • OpenAI API (for GPT-4o-mini)
      • Google Sheets OAuth2

  3. Configure Input Fields

    • Edit the “Set Input Fields” node to set your target site and region.

  4. Run the Workflow

    • Click Execute Workflow in n8n.
    • View structured results in your connected Google Sheet.

How to customize this workflow

  • Track Multiple Competitors → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node.

  • Add Language Detection → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts.

  • Enhance the SEO Report → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks.

  • Integrate Visualization → Connect your Google Sheet to Looker Studio for SEO performance dashboards.

  • Schedule Auto-Runs → Use the Cron Node to run weekly or monthly for competitor keyword refreshes.

Summary

This workflow automates competitor keyword research using:

  • Decodo for intelligent web scraping
  • OpenAI GPT-4.1-mini for keyword and SEO analysis
  • Google Sheets for live tracking and reporting

It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.

n8n Workflow: Track Competitor SEO Keywords with Decodo, GPT-4.1 Mini, and Google Sheets

This n8n workflow automates the process of extracting competitor SEO keywords from a Google Sheet, analyzing them using an AI model (likely GPT-4.1 Mini via a LangChain integration), and then updating the Google Sheet with the results. This helps in continuously monitoring and reacting to competitor keyword strategies.

What it does

This workflow performs the following steps:

  1. Triggers Manually: The workflow is started manually by clicking 'Execute workflow'.
  2. Reads Competitor Data: It reads data from a specified Google Sheet, likely containing competitor information and existing keywords.
  3. Prepares Data for AI: The "Edit Fields" node (Set) and a "Code" node are used to transform and prepare the data from Google Sheets into a format suitable for the AI model. This might involve extracting specific columns or concatenating text.
  4. Analyzes Keywords with AI: A "Basic LLM Chain" node, powered by an "OpenAI Chat Model" (presumably GPT-4.1 Mini), processes the prepared data. This AI step likely analyzes the keywords for insights such as intent, category, or competitive difficulty.
  5. Updates Google Sheet: The workflow then writes the results of the AI analysis back into the same or a different Google Sheet, enriching your competitor keyword data.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • Google Account: Access to Google Sheets with the necessary permissions to read and write data.
  • OpenAI API Key: An OpenAI API key to authenticate the "OpenAI Chat Model" node. This key will need to be configured as a credential within n8n.
  • LangChain Integration: The @n8n/n8n-nodes-langchain package needs to be installed in your n8n instance for the "Basic LLM Chain" and "OpenAI Chat Model" nodes to function.

Setup/Usage

  1. Import the Workflow:
    • Download the provided JSON file.
    • In your n8n instance, go to "Workflows" and click "New".
    • Click on the three dots menu (...) in the top right and select "Import from JSON".
    • Paste the JSON content or upload the file.
  2. Configure Credentials:
    • Google Sheets:
      • Click on the "Google Sheets" node.
      • Under "Credentials", click "Create New".
      • Select "Google Sheets API" and follow the instructions to authenticate your Google account. Ensure it has access to the spreadsheet you intend to use.
    • OpenAI Chat Model:
      • Click on the "OpenAI Chat Model" node.
      • Under "Credentials", click "Create New".
      • Select "OpenAI API" and enter your OpenAI API Key.
  3. Configure Nodes:
    • Google Sheets (Read):
      • Specify the "Spreadsheet ID" and "Sheet Name" from which to read competitor keyword data.
      • Adjust the "Range" if you only want to read specific cells.
    • Edit Fields (Set):
      • Review and adjust the fields being set or modified if your input data structure differs.
    • Code:
      • Examine the JavaScript code within this node. It's crucial for transforming the data. Modify it if your input data structure or the required output for the AI model is different.
    • Basic LLM Chain:
      • Configure the prompt and any other chain-specific parameters to guide the AI's analysis.
    • Google Sheets (Write):
      • Specify the "Spreadsheet ID" and "Sheet Name" where the AI-analyzed data should be written.
      • Configure the "Operation" (e.g., "Append Row", "Update Row") and map the output fields from the AI node to the correct columns in your Google Sheet.
  4. Test the Workflow:
    • Click the "Execute Workflow" button on the "Manual Trigger" node to run the workflow and verify it functions as expected.
  5. Activate the Workflow:
    • Once configured and tested, activate the workflow by toggling the "Active" switch in the top right corner.

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