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Web research summarizer with Decodo Scraper, Google Gemini AI & Sheets integration

Kevin Meneses Kevin Meneses
107 views
2/3/2026
Google SheetsLead ManagementZoho CRMAutomationData Sync
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How it works

This workflow takes a list of links from Google Sheets, visits each page, extracts the main text using Decodo, and creates a summary with the help of artificial intelligence.
It helps you turn research articles or web pages into clear, structured insights you can reuse for your projects, content ideas, or newsletters.

Input: A Google Sheet named input with one column called url.
Output: Another Google Sheet named output, where all the processed data is stored:

  • URL: original article link
  • Title: article title
  • Source: website or domain
  • Published Date: publication date (if found)
  • Main Topic: main theme of the article
  • Key Ideas: three main takeaways or insights
  • Summary: short text summary
  • Text Type: type of content (e.g., article, blog, research paper)

Setup steps

  1. Connect your Google Sheets account.
  2. Add your links to the input sheet.
  3. In the Decodo node, insert your API key.
  4. Configure the AI model (for example, Gemini).
  5. Run the workflow and check the results in the output sheet.

Web Research Summarizer with Google Gemini AI and Google Sheets

This n8n workflow automates the process of performing web research, summarizing the findings using Google Gemini AI, and recording the results in a Google Sheet. It's designed to streamline content creation, competitive analysis, or any task requiring quick, AI-powered summaries of web content.

What it does

This workflow simplifies and automates the following steps:

  1. Triggers Manually: The workflow starts when manually executed, allowing for on-demand research.
  2. Initial Data Setup: A Sticky Note node is present, likely for initial instructions or placeholder data, though its direct output is not connected in the provided JSON.
  3. Code Execution: A Code node is included, suggesting custom JavaScript logic might be used to prepare data, process inputs, or format outputs for subsequent nodes.
  4. Loop Over Items: The Loop Over Items (Split in Batches) node indicates that the workflow is designed to process multiple research topics or URLs in batches, making it efficient for bulk operations.
  5. AI Agent for Research & Summarization: An AI Agent node, powered by LangChain, is central to the workflow. This agent is configured to perform web research (likely using a tool like Decodo Scraper, inferred from the directory name) and then summarize the gathered information.
  6. Google Gemini Chat Model: The Google Gemini Chat Model node is used by the AI Agent to generate the summaries, leveraging Google's advanced AI capabilities.
  7. Record Results in Google Sheets: The final step involves writing the summarized research findings into a specified Google Sheet, providing a structured and organized record of the research.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Google Account: For Google Sheets integration.
  • Google Sheets Credential: Configured in n8n to allow access to your Google Sheets.
  • Google Gemini API Key: For the Google Gemini Chat Model node. This will likely be configured as a credential for the AI Agent or directly for the Google Gemini Chat Model.
  • Decodo Scraper (Implied): While not explicit in the JSON, the directory name suggests a Decodo Scraper tool would be used by the AI Agent for web content extraction. You would need access to and credentials for Decodo Scraper, configured as a tool within the AI Agent.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Set up your Google Sheets credential in n8n.
    • Set up your Google Gemini API Key credential in n8n.
    • If using Decodo Scraper, ensure its credentials/API key are configured as a tool within the AI Agent node.
  3. Customize Google Sheets Node:
    • Specify the Spreadsheet ID and Sheet Name where you want the research summaries to be stored in the Google Sheets node.
    • Map the data fields from the AI Agent output to the correct columns in your Google Sheet.
  4. Configure AI Agent:
    • Review and adjust the AI Agent node's configuration, including the prompt for research and summarization, and ensure any necessary tools (like a web scraper) are correctly set up within it.
  5. Configure Code Node (if applicable): If the Code node contains custom logic, review and modify it as needed for your specific use case.
  6. Execute Workflow: Click "Execute Workflow" on the Manual Trigger node to run the workflow. The AI Agent will perform the research, summarize it, and the results will be written to your Google Sheet.

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