This article provides a complete, practical walkthrough of the Filter Extractfromfile Create Triggered n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Automating Google Keep Note Extraction and Analysis with AI Using n8n
   
   Meta Description:  
   Learn how to create an automated n8n workflow that extracts notes from Google Keep, filters and analyzes content using OpenAI, and exports results to Google Sheets. Ideal for organizing notes, detecting expenses, and deriving insights from exported Keep data.
   
   Keywords:  
   Google Keep, Google Takeout, n8n workflow, OpenAI GPT-4o, Google Sheets automation, expense tracking, AI note processing, Google Drive API, JSON note extraction, automate Google Keep
   
   Third-party APIs Used:
   
   - Google Drive API (OAuth2)
   - Google Sheets API (OAuth2)
   - OpenAI API (GPT-4o-mini via Langchain)
   
   —
   
   Article:
   
   Automating Google Keep Note Extraction and AI-Powered Analysis with n8n
   
   Tired of letting your Google Keep notes pile up into a digital mess of unsearchable thoughts, expenses, and ideas? Good news: with the no-code power of n8n and a touch of artificial intelligence, you can now automatically extract, filter, analyze, and save relevant data from your exported Google Keep notes into a clean, structured Google Sheet.
   
   In this guide, we’ll walk you through an advanced n8n workflow that connects Google Drive, OpenAI, and Google Sheets to help you process your Google Keep backups in an intelligent and scalable way.
   
   🛠️ What This Workflow Does:
   
   This n8n workflow automates the following:
   
   1. Connects to a specific folder in Google Drive where your exported Google Keep notes (in JSON format) are uploaded.
   2. Filters and downloads only the valid JSON files.
   3. Parses the JSON content from each note.
   4. Filters notes that match certain keywords (e.g. those referencing expenses like “dépensé” or “depense”).
   5. Applies optional AI processing via OpenAI GPT-4o-mini to extract specific content like amounts spent.
   6. Formats important fields (note content, creation/edit timestamps, archival status, and extracted amount).
   7. Automatically appends the final structured data to a Google Sheet.
   
   This workflow offers a practical, code-free way to bring intelligence to static Keep exports — turning unstructured text into structured, actionable information.
   
   📦 Step-by-Step Breakdown
   
   1. Export Notes via Google Takeout  
   Start by using Google Takeout to export your Google Keep data. Make sure to deselect all products and choose only Google Keep. Export the data, and unzip the downloaded archive. You’ll find all your notes in JSON format.
   
   2. Upload JSON Files to Google Drive  
   Upload the extracted *.json files to a dedicated folder in Google Drive (suggested name: “Keep”).
   
   3. Search and Filter Files  
   Once the workflow is triggered manually, it searches the specified “Keep” folder in Google Drive. It loops through each file in batches of 10, filtering to ensure only those with a .json extension continue through the workflow.
   
   4. Download and Parse JSON Contents  
   Each .json file is downloaded and parsed to extract the content of the note using the “Extract from File” node, configured for JSON parsing.
   
   5. Content Filtering for Relevance  
   An optional “Filter” block looks for specific keywords (e.g. “dépensé”, “depense”) within the HTML version of the note content. This lets you focus only on expense-related notes or any custom keyword you wish to apply.
   
   6. Check If Note is Archived  
   To ensure the current relevance of the note, the workflow includes a Boolean check that continues processing only if the note is not archived.
   
   7. Optional AI Processing with OpenAI GPT-4o  
   Here’s where the magic happens — if needed, the workflow sends the note’s text content to OpenAI for natural language processing. For instance, it can be used to extract numeric values (e.g. amount in euros mentioned in a note).
   
   8. Format for Export  
   The workflow organizes the output into structured fields:  
   - textContent  
   - Created (in human-readable format)  
   - Edited  
   - isArchived  
   - Amount (from AI processing, if applied)
   
   9. Append to Google Sheets  
   Finally, all this structured data is appended to a specified Google Sheet. This provides you with a centralized, dynamic repository of your Keep notes, either for personal records or further analysis.
   
   🔗 Setup Requirements
   
   Before activating the workflow, ensure the following:
   - Your Google Drive and Google Sheets accounts are authenticated in n8n.
   - You’ve uploaded your JSON files from Takeout to a designated Google Drive folder.
   - You’ve created a Google Sheet to house the results (set up with columns like textContent, Created, Edited, etc.)
   - Your OpenAI API key is connected (if you’re using the AI extraction features).
   
   🎯 Use Cases
   
   - Expense Tracking: Automatically filter and extract expenses mentioned in your Keep notes.
   - Automatic Archiving: Move your notes to a structured sheet while clearing clutter.
   - Data Mining: Apply OpenAI to identify trends, categorize content, or extract other entities like date/place/person names.
   - Note Summarization: Extend the AI block to summarize long-form journal entries or meeting notes.
   
   📬 Final Thoughts
   
   This workflow is modular and highly customizable. Don’t need AI? Simply remove the OpenAI node. Want to filter by date or note length instead of keywords? Just update the “Filter” node logic.
   
   Tools like n8n empower non-developers to build sophisticated data workflows by combining standard integrations with advanced processing power like GPT-4o. Whether you’re a knowledge hoarder, a budget optimizer, or just someone trying to bring order to the chaos of digital notes, this automation will save you hours.
   
   🔧 Need Help?
   
   If you run into any challenges while setting up the workflow, feel free to reach out to the creator at thomas@pollup.net.
   
   —
   
   Ready to make your Google Keep data work for you? Plug in this n8n workflow, and bring automation to your digital note-taking life.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.