This article provides a complete, practical walkthrough of the Manual Renamekeys Automate 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:  
   How to Rename Data Fields in n8n Using a Simple Workflow
   
   Meta Description:  
   Learn how to use n8n to rename keys in your data sets using a manual trigger, the set node, and the rename keys node. Perfect for cleaning and preparing JSON data effortlessly.
   
   Keywords:  
   n8n, n8n workflow, rename keys, data transformation, n8n automation, JSON key rename, no-code automation, set node, manual trigger, renameKeys node
   
   Third-party APIs Used:  
   None
   
   Article:
   
   Simplifying Data Transformation with n8n: Renaming Fields in JSON  
   
   In the fast-paced world of data automation, even the smallest transformations can make a big difference. Whether you're building no-code apps or automating backend operations, n8n (a powerful open-source workflow automation tool) helps streamline your processes efficiently. In this article, we’ll guide you through a basic but useful n8n workflow that performs a simple task: renaming a key in a JSON object.
   
   This three-step workflow is ideal for users who want to keep their data clean, structured, and aligned with application-specific naming schemas.
   
   Overview of the Workflow
   
   The workflow comprises three nodes:
   
   1. Manual Trigger  
   2. Set Node  
   3. Rename Keys Node  
   
   Let’s walk through how each of these nodes functions in our workflow.
   
   Step 1: Manual Trigger to Start the Workflow
   
   The workflow begins with the "Manual Trigger" node. This special node allows you to execute the workflow manually from within the n8n editor UI. It’s useful for testing purposes or for introducing logic that doesn’t require an external event to kick off.
   
   In this workflow:
   - Node Name: On clicking 'execute'
   - Function: Starts the workflow manually when a user clicks "Execute Workflow" in the n8n editor.
   
   Step 2: Creating the Initial Data with the Set Node
   
   After triggering the workflow manually, we move to the “Set” node. This node is used to define or override data manually—a great tool when mocking data inputs or preparing data structures before further processing.
   
   In this scenario, the Set node creates a data object with a single key-value pair:
   - Key: key
   - Value: somevalue
   
   This simple structure is often seen when parsing form inputs, APIs, or static content where values need to be reformatted before passing to other services.
   
   Step 3: Renaming the Key
   
   Our final node in the workflow is the “Rename Keys” node—a built-in n8n node that allows you to rename one or more object keys efficiently. In larger JSON transformations, such renaming is crucial, especially when third-party APIs require specific field names.
   
   Here, we rename the key “key” to “newkey”. Instead of manually editing nested structures, this node makes it easy to rename properties without writing any JavaScript.
   
   - Current key: key
   - New key: newkey
   
   This transformation yields the output:
   {
     "newkey": "somevalue"
   }
   
   Putting It All Together
   
   Once you execute the workflow:
   1. The Manual Trigger initializes the process.
   2. The Set node creates the basic data structure.
   3. The Rename Keys node takes that data and renames the field as configured.
   
   This results in clean and organized output ready for further automation steps—perhaps inserting the result into a database, sending it via webhook, or pushing it to another n8n workflow.
   
   Why This Workflow is Useful
   
   This might be a simple example, but renaming keys is a common requirement when:
   - Normalizing data from different sources.
   - Integrating with APIs that use inconsistent field names.
   - Preparing flat JSON data for services expecting specific formats.
   
   Because n8n is modular, you can easily expand this workflow. For example, connect it to:
   - HTTP Request nodes to pull in real-time data.
   - Spreadsheet nodes to transform bulk entries.
   - Database nodes for mass updates with the renamed structure.
   
   Conclusion
   
   While the n8n workflow discussed is small and specific, it demonstrates the power and flexibility of n8n in automating data transformation tasks even without writing code. Renaming JSON keys might seem like a minor task, but it’s essential for maintaining data consistency and ensuring compatibility across systems.
   
   By combining built-in features like Manual Trigger, Set, and Rename Keys nodes, n8n delivers a smooth and intuitive way to transform your data—from prototype to production.
   
   Whether you're a beginner or an advanced user, workflows like this will become staple tools in your n8n toolkit.
   
   Happy automating!
   
   —  
   Want to try this workflow yourself? n8n is free and open-source. Start building your own automations today!

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.