This article provides a complete, practical walkthrough of the Http Github 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:
   Automating Real-Time Project Metrics with n8n: A Complete Dashboard Workflow
   
   Meta Description:
   Discover how a powerful n8n workflow automates data collection from GitHub, Docker Hub, npm, and Product Hunt to power a real-time metrics dashboard. Learn how this workflow keeps your team informed every minute.
   
   Keywords:
   n8n, workflow automation, dashboard, project metrics, GitHub API, Docker Hub API, npm API, Product Hunt GraphQL API, DevOps automation, real-time analytics, open source monitoring
   
   Article:
   
   Automating Real-Time Project Metrics with n8n: A Complete Dashboard Workflow
   
   In today’s fast-paced development environment, keeping track of your project’s external metrics—from GitHub stars and Docker downloads to npm quality and Product Hunt performance—is crucial. Manually checking these platforms is time-consuming and inefficient. Enter n8n, a powerful and extendable workflow automation tool, which can streamline this process and deliver real-time insights directly to your dashboard.
   
   This article explores a comprehensive n8n workflow that collects data from GitHub, Docker Hub, npm, and Product Hunt every minute, massages it for presentation, and pushes it to a custom dashboard. The workflow operates seamlessly and gives your team up-to-date project metrics at a glance.
   
   📌 Overview
   
   This n8n workflow is built around four key monitoring pillars:
   
   - GitHub repository stats (stars, forks, issues, watchers)
   - Docker Hub metrics (pulls and stars)
   - npm package insights (quality, popularity, maintenance score)
   - Product Hunt performance (comments, votes, rating, reviews)
   
   All of this information is retrieved, cleaned, and sent to a dashboard every minute using an automatic cron trigger—making it a fully hands-off solution for real-time visibility.
   
   ⏱️ 1. Workflow Trigger: Every Minute
   
   At the core of this workflow is a Cron node configured with a trigger that runs every minute. This ensures the dashboard is always populated with the freshest data, making it ideal for high-visibility displays or team war rooms.
   
   📂 2. Central Configuration
   
   The “Dashboard Configuration” node acts as a central repository for all the static inputs required by subsequent nodes. These include:
   
   - Dashboard hostname and token
   - Repository names for GitHub and Docker
   - npm package name
   - Product Hunt post ID
   
   Having a single config node ensures reusability and easier maintenance.
   
   🐳 3. Docker Hub Integration
   
   Using HTTP request nodes, the workflow queries Docker Hub’s repository API to grab key metrics like pull counts and star counts for the “n8n” image. These metrics are then formatted using the “Massage Docker Data” function node to add thousands separators for readability. Finally, they are POSTed to specific widgets on the dashboard.
   
   📦 4. npm Data Retrieval
   
   The npm tools use the NPMS.io API, which returns various scores related to a package’s quality, popularity, and maintenance. These values are refined in a “Massage npm Data” function node for consistent decimal precision and then sent to specific dashboard widgets.
   
   💻 5. GitHub Repository Stats
   
   Using n8n’s native GitHub node, the workflow retrieves repository information like:
   
   - Stargazers count
   - Subscribers (watchers)
   - Forks count
   - Open issues
   
   These numbers are again massaged for user-friendly formatting and distributed to relevant widgets.
   
   🚀 6. Product Hunt Insights
   
   To assess community reception, the workflow uses the Product Hunt GraphQL API to extract:
   
   - Reviews rating
   - Reviews count
   - Votes
   - Comments count
   
   This is slightly more advanced since it requires a manually entered API bearer token. The output is passed through a function node that formats numbers appropriately before sending to the dashboard.
   
   💡 Data Preparation (The “Massage” Nodes)
   
   Each API returns raw data, which may not be directly displayable on dashboards. That’s why each integration is paired with a function node that processes the response before pushing it to the dashboard. Formatting includes:
   
   - Rounding to two decimal places (npm scores)
   - Adding commas to large numbers (GitHub, Docker, Product Hunt)
   
   📊 Data Delivery to Dashboard
   
   All stats are posted to a specified custom analytics dashboard hosted internally on http://192.168.0.14:8080 using POST requests. The “auth_token” ensures that only authenticated tools can push updates to the widgets.
   
   Each data point is routed to its corresponding widget endpoint, such as:
   
   - /widgets/github_stars
   - /widgets/npm_quality
   - /widgets/docker_pulls
   - /widgets/prod_hunt_votes
   
   This architecture allows for modular UI updates without disrupting the back-end polling or logic.
   
   🌐 Third-Party APIs Used
   
   The workflow integrates the following APIs:
   
   1. GitHub API – Repository statistics
   2. Docker Hub API – Repository pulls and stars
   3. NPMS.io API – npm package insights (quality, maintenance, popularity)
   4. Product Hunt GraphQL API – Post performance (votes, comments, reviews, rating)
   
   🔒 Authentication Notes
   
   While most API calls don’t require authentication or use simple headers, the Product Hunt API requires an OAuth token under “authorization: Bearer {token}”. Users should replace the placeholder with their actual API token.
   
   🧩 Extending the Workflow
   
   This dashboard workflow can easily be extended:
   
   - Add Slack alerts when metrics cross thresholds
   - Write to a logging database for historical views
   - Enable webhook triggers for asynchronous updates
   
   🌟 Final Thoughts
   
   This n8n workflow exemplifies how automation can bring clarity to modern DevOps and software projects. By fetching and visualizing data from multiple third-party sources in real-time, it relieves your team of the tedious task of manual monitoring. Best of all, it’s modular, low-code, and highly customizable.
   
   The setup showcased here turns complex cross-platform metrics into a unified, self-updating, visually appealing dashboard—every minute, on the minute.
   
   —
   
   If you’re managing an open-source project like n8n or any tech product with wide community reach, implementing a real-time project metrics dashboard like this can significantly enhance transparency, speed up decision-making, and improve engagement with your development community.
   
   Ready to take control of your analytics? Let n8n do the heavy lifting—automagically.

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.