This article provides a complete, practical walkthrough of the Http Stickynote Automation Webhook 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 Upload Multiple Files to a GitHub Repository Using n8n and the GitHub REST API
   
   Meta Description:
   Learn how to automate multi-file uploads to a GitHub repository using n8n with the GitHub REST API. A powerful alternative to n8n's native GitHub node for scripting complex file commits.
   
   Keywords:
   n8n, GitHub API, Automation, REST API, GitHub workflow, GitHub commit files, multi-file upload, automate Git operations, GitHub n8n workaround, GitHub integration, CI/CD automation, GitHub developer tools
   
   Third-party APIs Used:
   - GitHub REST API
   
   ---
   
   Article:
   
   Automating Multi-File Uploads to GitHub with n8n and the GitHub REST API
   
   When working with GitHub and automation platforms like n8n, developers often run into limitations with native integrations—especially when it comes to uploading multiple files at once. Fortunately, n8n allows users to bypass such constraints by leveraging raw API requests. In this guide, we’ll walk through a fully functional n8n workflow designed to upload multiple files to a GitHub repository in a single commit, all via the GitHub REST API.
   
   This approach is particularly useful for CI/CD pipelines, content delivery deployments, automated backups, or any automation tasks requiring version-controlled storage of multiple files simultaneously.
   
   Why Use the GitHub REST API Instead of the Native n8n GitHub Node?
   
   The native GitHub node provided in n8n only supports single-file uploads within a given transaction. While this may be sufficient for basic use cases, it becomes inefficient or outright impossible when dealing with batch file operations. To resolve this, the presented workflow takes a low-level approach, interacting directly with GitHub’s API to craft commits in a granular, Git-native fashion.
   
   Workflow Overview
   
   Let’s break down the main components of this n8n workflow and how each part contributes to pushing multiple files to GitHub.
   
   Step 1: Manual Trigger & Set GitHub Info
   
   The workflow begins with the “When clicking ‘Test workflow’” Manual Trigger node. This is ideal for local development or testing. From there, the “Set GitHub Info” node prepares key credentials and metadata, including:
   
   - GitHub Personal Access Token (PAT)
   - Repository name
   - GitHub username
   - Target branch (e.g., main)
   - Custom commit message
   
   Step 2: Define File Content
   
   Next, the nodes “File 1” and “File 2” define the content for the two files being uploaded (e.g., file1.txt and file2.txt). These nodes can easily be extended for additional files by using more Set nodes or collecting files dynamically from prior automation steps.
   
   Step 3: Retrieve the Latest Commit SHA
   
   The “Get latest commit SHA” node makes a GET request to:
   https://api.github.com/repos/{username}/{repo}/git/refs/heads/{branch}
   
   This provides the SHA (unique identifier) of the latest commit on the target branch — necessary for constructing a proper Git commit chain.
   
   Step 4: Fetch the Base Tree SHA
   
   Git uses tree objects to represent directories and the state of files. To maintain this structure, we use the commit SHA from the previous step to fetch its corresponding tree via:
   https://api.github.com/repos/{username}/{repo}/git/commits/{commit_sha}
   
   Step 5: Create a New Tree with File Blobs
   
   Now comes the core of the batch upload. The “Create new tree” node uses a POST request to:
   https://api.github.com/repos/{username}/{repo}/git/trees
   
   Here, we define a new tree object that includes both file1.txt and file2.txt, their content, and permissions. Each file is treated as a blob—Git's term for binary data.
   
   Key parameters include:
   - path: Where the file should exist in the repo (e.g., "public/file1.txt")
   - mode: File permissions (100644 for normal files)
   - type: "blob" for binary files
   - content: The file contents defined earlier
   
   Step 6: Create the Commit Object
   
   Once the new tree is defined, the workflow moves on to “Create commit,” which sends a POST request to:
   https://api.github.com/repos/{username}/{repo}/git/commits
   
   This step ties together the new tree and the previous commit, establishing a new point in the Git history. It also includes a user-friendly commit message defined earlier in the “Set GitHub Info” node.
   
   Step 7: Update the Branch to Point to the New Commit
   
   Finally, the “Update branch” node patches the branch pointer via:
   https://api.github.com/repos/{username}/{repo}/git/refs/heads/{branch}
   
   This operation tells GitHub: "Hey, our branch should now point to this new commit we just created." This makes the new files instantly visible in the repository.
   
   Key Benefits of This Workflow
   
   - 🚀 Bulk File Uploads: Easily upload and commit multiple files all in one go.
   - 🛠️ Fully Customizable: Flexibly add files, dynamic content, or additional operations.
   - 🔒 Secure Authentication: Uses GitHub's recommended Personal Access Token (PAT) with scoped permissions.
   - 🌐 API Transparency: Developers gain a deeper understanding of Git and GitHub internals.
   - ✅ Ideal for CI/CD: Automate deployment pipelines or dynamic file publishing.
   
   Getting Started
   
   To replicate or expand upon this workflow, follow these setup steps:
   
   1. Create a GitHub Personal Access Token with "Contents: read/write" scope.
   2. Replace placeholders such as YOUR_GITHUB_USERNAME and YOUR_GITHUB_REPO_NAME with your actual info.
   3. Define as many files as needed under the “Create new tree” node.
   4. Click "Execute Workflow" in n8n to test and deploy.
   
   Final Thoughts
   
   By combining the flexibility of n8n with the power of GitHub’s REST API, developers can build advanced Git operations previously limited by native integrations. This makes n8n not just a workflow automation tool — but a full-fledged developer assistant for DevOps, GitOps, and beyond.
   
   As your needs grow, consider enhancing this workflow further by dynamically generating file data from external APIs, databases, or user input to trigger larger automation sequences. The power of GitHub and automation has never been this accessible.
   
   Happy automating!

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.