This article provides a complete, practical walkthrough of the Http 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 n8n Workflow Backup to GitHub: A Step-by-Step Breakdown
   
   Meta Description:  
   Learn how to automatically back up all your n8n workflows to a GitHub repository every night using a custom workflow. This guide walks through each component of a scheduler-based, GitHub-integrated automation.
   
   Keywords:  
   n8n, GitHub, workflow backup, automation, GitHub API, nightly backup, workflow version control, n8n automation, GitHub integration, API automation
   
   Third-Party APIs Used:
   
   - GitHub API (via n8n GitHub node)
   - n8n REST API (local instance)
   
   —
   
   Article:
   
   Seamlessly Back Up Your n8n Workflows to GitHub: A Fully Automated Solution
   
   In the realm of automation, it’s not just applications and processes that require attention—your automations need automation too. That’s where n8n, the open-source workflow automation tool, proves its strength. In this article, we’ll walk through a powerful n8n workflow that automatically backs up your entire list of workflows to a GitHub repository every night at 11:59 PM.
   
   This solution not only provides peace of mind through versioned backups but also ensures that every change to your workflows is safely tracked and auditable.
   
   Let’s explore how each segment of this workflow contributes to the bigger picture.
   
   ⏰ Step 1: Schedule a Daily Trigger
   
   The process begins with a Cron node labeled “Daily at 23:59.” This node is scheduled to run every night at 11:59 PM, ensuring the workflow pulls in the latest data just before the day ends.
   
   A daily backup process is essential for maintaining business continuity and protecting against accidental loss or misconfiguration.
   
   🔍 Step 2: Fetch All Workflows from n8n
   
   The scheduled trigger passes control to the "Get workflows" HTTP Request node. This node queries the local n8n instance via its REST API endpoint at http://localhost:5678/rest/workflows. It uses HTTP Basic Authentication to securely access workflow metadata.
   
   The result is a list of all workflows present in the n8n instance.
   
   🔄 Step 3: Transform and Individualize
   
   The "transform" Function node then iterates over each workflow and returns one item per workflow. This step is essential for allowing the next HTTP Request node (“Get workflow data”) to act on each workflow separately.
   
   📦 Step 4: Retrieve Full Workflow Details
   
   Each individual workflow ID from the list is passed into the "Get workflow data" HTTP call, which retrieves its full configuration using a dynamic URL:
   http://localhost:5678/rest/workflows/{{workflowID}}.
   
   Now, you have a complete JSON object for each workflow, which can be backed up in its entirety.
   
   📁 Step 5: Check for Existing Backups
   
   Parallel to fetching workflows, another GitHub node, “Get Files,” pulls the existing list of files in the specified GitHub repo using the GitHub API. These files represent previously backed-up workflows.
   
   The result (likely a JSON payload with filenames and download URLs) is passed through a "Transform" node to normalize it, so each file is treated as an individual data item. This ensures we can compare incoming workflows against already-backed-up versions.
   
   The “Download Raw Content” HTTP request node fetches the raw contents of those files from GitHub. This allows for precise comparison and update logic.
   
   ⚖️ Step 6: Intelligent Merge: Know When to Create or Edit
   
   Two merge nodes are used to avoid unnecessary updates:
   
   - “Merge”: Compares by workflow name and removes duplicates. This decides whether a new file needs to be created.
   - “Merge1”: Compares by the “updatedAt” timestamp in the workflow data to determine if anything has changed since the last backup.
   
   ✍️ Step 7: Write to GitHub
   
   Based on the output of the Merge nodes:
   
   - If a workflow is new (not in the repo), it flows into the “Create file” node. This node uses the GitHub API to create a new file with the name: {{workflowName}}.json and attaches a timestamped commit message.
   - If an existing workflow has changed, it routes to the “GitHub Edit” node, which updates the existing file with the latest workflow content.
   
   Both actions are authenticated using GitHub credentials specified in the workflow (e.g., “GitHub@harshil1712”).
   
   🧠 Why This Matters
   
   This workflow represents a great example of how n8n can evolve into your meta-automation tool—not just automating your apps, but automating itself. By integrating version control through GitHub, this workflow gives you:
   
   - Historical version tracking of all workflows
   - A recovery option in case of system failure
   - Continuous insight into changes made to your automations
   
   📌 Final Thoughts
   
   As automation becomes essential, so does the need to secure and manage it properly. Backing up your n8n workflows to GitHub using this nightly automation is a smart and practical solution for any organization or power user.
   
   By combining n8n’s flexible architecture with GitHub’s robust version control, you get the best of both worlds—automation and accountability.
   
   Tip: Make sure to keep your GitHub access tokens securely stored, and regularly audit your backups to ensure the workflow is functioning as intended.
   
   With automation like this, it's no longer just your applications working for you—your automations work for themselves, too.

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.