This article provides a complete, practical walkthrough of the Code Github Create Scheduled 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:
   Automated Credential Backups from n8n to GitHub: A Smart Workflow for Data Security
   
   Meta Description:
   Discover how this powerful n8n workflow automates the backup of credentials by exporting and syncing credential files to a GitHub repository, ensuring efficient and secure version control.
   
   Keywords:
   n8n workflow, GitHub backup, credentials backup, automation, workflow export, n8n GitHub integration, version control, JSON diff, GitHub API, export credentials, data security, backup automation, DevOps tools
   
   Third-Party APIs Used:
   
   - GitHub API — for retrieving existing files, creating new files, and updating existing records in a GitHub repository.
   
   Article:
   
   Secure and Automated: Backing Up n8n Credentials to GitHub with Ease
   
   As more companies rely on automation to streamline internal processes, maintaining the integrity and safety of workflow configurations and credentials becomes increasingly critical. This is especially true for users of the open-source automation tool n8n. A common concern among developers and DevOps teams is how to safely store and version control sensitive credentials created within an n8n instance.
   
   To address this concern, a robust and intelligent n8n workflow has been developed to automatically export all credentials from the instance and back them up to a GitHub repository on a regular basis. By integrating shell commands, JSON processing, and GitHub version control, this workflow enhances security, improves visibility, and reduces the manual burden of maintaining data integrity.
   
   Let’s dive into how it works and why it matters.
   
   Overview: What the Workflow Does
   
   At its core, this n8n workflow exports all decrypted credentials from the n8n instance using the n8n CLI, formats the data into structured JSON files, and backs each individual credential up to GitHub in the format ID.json. The logic includes intelligent diff detection to avoid redundant GitHub commits when no changes have occurred.
   
   Key Features at a Glance:
   
   - Scheduled and manual triggers to initiate backup
   - JSON beautification and validation
   - Differential sync (detects whether credentials are unchanged, new, or modified)
   - File-saving logic to either create or update files
   - GitHub API integration for push-based storage
   - Subworkflow pattern for memory optimization
   
   How the Workflow Operates
   
   1. Trigger Options
   The workflow begins with two initiation mechanisms:
   - A manual trigger for on-demand execution ("On clicking 'execute'")
   - A schedule trigger (every 2 hours) for routine backups
   
   2. Credential Export
   Using an Execute Command node, the CLI command `npx n8n export:credentials --all --decrypted` is run. This extracts all credentials in a single JSON array.
   
   3. JSON Beautification
   Raw output from the command line may not always be directly parsable. The JSON formatting node uses custom JavaScript to extract and parse the JSON string from `stdout`, ensuring it's ready for itemized processing.
   
   4. Item Loop and Subworkflow Execution
   Credentials are split into batches and fed back into the same workflow using the Execute Workflow node. This clever recursive technique (also referred to as a subworkflow) optimizes memory usage. Each credential is handled individually, allowing for fine-grained backup logic.
   
   5. File Sync Logic
   For each individual credential:
   - The workflow attempts to get the corresponding file from GitHub using the GitHub API.
   - If the file exists, it checks whether the file content differs from the latest local export by sorting and comparing JSON keys in a custom Code node ("isDiffOrNew").
     - If the content is unchanged, a NoOp node halts processing.
     - If different, the existing file is updated with a new commit.
   - If the file does not exist, the workflow classifies it as new and creates the file in GitHub with a relevant commit message including the credential ID and change status.
   
   6. Visual Output and Logging
   Several sticky note nodes explain the sections, guiding users on how to adjust repository details such as:
   - repo.owner: GitHub username
   - repo.name: Repository to back up into
   - repo.path: Folder path (e.g., credentials/)
   
   Why This Workflow Matters
   
   Credibility and security are non-negotiable when managing automation setups. With potential configuration drift or human errors, it becomes essential to store backups externally and in a manner that is version controlled.
   
   Here’s what this workflow accomplishes:
   
   - 🛡 Data Security: Credentials are exported in decrypted format but stored securely in a private GitHub repo.
   - 📋 Version Control: By distinguishing between unchanged, new, and modified credentials, it writes appropriate commit messages and maintains a clean change history.
   - 🧠 Intelligence: Smart diff detection prevents unnecessary write operations and minimizes repo noise.
   - 📦 Portability: With credentials backed up externally, restoring or migrating across environments becomes trivial.
   - ⛓ Automation Efficiency: Scheduled runs allow for set-and-forget credential backups, eliminating manual intervention.
   
   Conclusion
   
   This n8n-to-GitHub credential backup workflow is a quintessential example of automation done right. It combines the power of n8n’s logic capabilities with GitHub’s reliability as a code and data host. Whether you are a solo developer or managing infrastructure for an enterprise, leveraging this workflow ensures that your automation credentials are always safe, versioned, and up-to-date — in the true spirit of DevOps resilience.
   
   Want to tailor it for your setup? Simply configure the `Globals` node with your repo details and let the automation take over!
   
   🔁 Automation meets auditability — with just the right dose of flexibility.

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.