This article provides a complete, practical walkthrough of the Manual Github 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 GitHub Profile Data Fetch with n8n: A Simple Workflow Guide
   
   Meta Description:  
   Discover how to set up a basic n8n workflow that retrieves GitHub repository profile data with a single click. This tutorial shows how to automate GitHub API integration using n8n’s visual interface.
   
   Keywords:  
   n8n, GitHub API, automation workflow, GitHub repository data, no-code tools, API integration, open-source automation, GitHub profile fetch, n8n tutorial
   
   Third-party APIs Used:  
   - GitHub API
   
   Article:
   
   Automating GitHub Profile Retrieval Using n8n: A Simple Workflow Example
   
   In today's rapidly evolving software landscape, automation is more essential than ever. Whether you are a developer, a DevOps engineer, or a growth hacker, streamlining repetitive tasks can lead to increased productivity and fewer human errors. One powerful and open-source automation tool that caters to both developers and no-code users is n8n. In this article, we’ll explore a simple use case: automating the retrieval of repository profile data from GitHub using n8n's visual workflow builder.
   
   n8n: A Brief Overview
   
   n8n (short for "node for node") is a free and open-source workflow automation tool that allows users to connect various applications and services without writing extensive code. With an intuitive drag-and-drop interface, users can quickly build workflows that automate repetitive tasks, integrate APIs, or manipulate data.
   
   The Workflow in Focus
   
   The n8n workflow we’re discussing today contains two main nodes and serves a simple purpose:
   
   - Trigger a manual execution of the workflow.
   - Fetch GitHub profile data for a specific repository.
   
   Let’s break down this workflow step-by-step.
   
   1. ManualTrigger Node
   
   The workflow begins with a node called “On clicking ‘execute’.” This node is of type Manual Trigger, which means the workflow only runs when the user manually initiates it through the n8n editor. This setup is particularly useful for testing or periodic executions that don’t require scheduling or event-based triggers.
   
   In our JSON configuration, the node is placed at coordinate [540, 350] in the n8n canvas and doesn't require any parameters. As the name suggests, this node serves as the workflow’s starting point.
   
   2. GitHub Node
   
   Once the manual trigger is activated, the workflow proceeds to the next node titled “Github.” This node integrates with the GitHub API to fetch data using the “getProfile” operation on a repository.
   
   Here are the configured parameters:
   
   - Owner: n8n-io
   - Repository: n8n
   - Resource: repository
   - Operation: getProfile
   
   This configuration tells n8n to reach out to GitHub and retrieve profile information for the official n8n repository maintained by the n8n-io organization. The node uses pre-configured GitHub credentials labeled "shraddha" to authenticate the request.
   
   The GitHub API’s getProfile operation returns metadata about the specified repository, including details like stars, forks, issues, and description — useful for monitoring repository health or integrating GitHub data into reporting systems.
   
   Workflow Logic and Execution
   
   The workflow connects the Manual Trigger node directly to the GitHub node, forming a linear execution path:
   
   ManualTrigger → GitHub API Call
   
   Once executed manually, the workflow initiates the GitHub API call and retrieves the repository profile data. This data can be reviewed directly in the n8n UI or used as input for further processing, such as sending it to Slack, storing it in a database, or visualizing it in a dashboard.
   
   Use Cases
   
   While this workflow is simple, it lays the foundation for more complex automations. Here are just a few potential enhancements and applications:
   
   - Schedule the workflow to run daily using the Cron node.
   - Send the retrieved GitHub data to a Google Sheet for historical tracking.
   - Post the stats to a Slack channel to keep team members updated.
   - Add conditional logic to notify stakeholders if, for example, issue count exceeds a threshold.
   
   Security Consideration
   
   The workflow uses a set of GitHub credentials stored securely within n8n. Users must ensure that the credentials configured have the appropriate scope for the data they are trying to access, and they should avoid sharing workflow JSONs that include sensitive tokens or keys.
   
   Conclusion
   
   In an era where APIs drive the digital ecosystem, tools like n8n simplify the integration and orchestration of services like GitHub. This workflow demonstrates how easy it is to create a working automation with just two nodes. Whether you're a beginner or an automation veteran, n8n enables powerful, scalable workflows for countless business and developmental tasks.
   
   Try importing this workflow into your own n8n instance and start experimenting — the possibilities are virtually endless.

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.