This article provides a complete, practical walkthrough of the Telegram Splitout Automation 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:
   Automating Community Insights: A Deep Dive into the n8n Creators Leaderboard Reporting Workflow
   
   Meta Description:
   Discover how the n8n Creators Leaderboard Reporting Workflow automates data collection, aggregates stats, analyzes top contributors, and generates detailed Markdown reports using OpenAI GPT-4o, Google Gemini, and Google Drive integrations.
   
   Keywords:
   n8n workflow, OpenAI GPT-4o, Google Gemini, Google Drive automation, n8n leaderboard, creator analytics, workflow reporting, community insights, automation, low-code tools
   
   Third-Party APIs Used:
   
   1. OpenAI API – via GPT-4o-mini for report generation and insights.
   2. Google Gemini (PaLM) API – for generating summaries and top workflow lists.
   3. Google Drive API – to save generated reports to the user’s Google Drive.
   4. Gmail API – for sending reports and summaries via email.
   5. Telegram Bot API – for optional delivery of workflow summaries via Telegram.
   
   —
   
   Article:
   
   In the vibrant and collaborative world of low-code automation, n8n stands out as a powerful platform enabling users to design workflows with ease. But as community activity grows and creators continue to innovate, there's a crucial need to recognize and analyze contributions across the ecosystem. Enter the “AI Agent for n8n Top Creators Leaderboard Reporting” – an automation masterpiece that blends data aggregation, analytics, and generative AI to keep the community informed and thriving.
   
   This workflow isn’t just a dashboard. It’s a smart, multi-tool data pipeline that collects, enriches, visualizes, and distributes community statistics across various platforms including Google Drive, Gmail, and Telegram. It's purpose-built to empower community managers, creators, and analysts with insights into who’s making an impact in the n8n universe—and why.
   
   Let’s break down what makes this workflow tick.
   
   🛠️ Workflow Overview
   
   At a high level, the n8n Creators Leaderboard Reporting Workflow executes the following tasks:
   
   - Automatically retrieves JSON datasets of n8n creators and workflows from a GitHub repository (hosted at https://github.com/teds-tech-talks/n8n-community-leaderboard).
   - Aggregates, filters, and sorts the data to identify top-performing creators and most popular workflows, by metrics like unique weekly visitors and inserters.
   - Uses OpenAI’s GPT-4o-mini to generate a detailed Markdown report summarizing insights and trends across the data.
   - Converts the report into multiple formats (MD, HTML).
   - Optionally saves reports to Google Drive, sends them by email via Gmail, or posts highlights via Telegram.
   
   📐 Data Aggregation & Enrichment
   
   The workflow begins with a scheduled trigger that prompts data downloads from a GitHub JSON source. This includes two critical datasets:
   
   1. Creator statistics (number of workflow insertions, visits, and more).
   2. Workflow metadata (name, description, usage stats).
   
   These are parsed using n8n’s native HTTP and Set nodes, then split out and sorted—creators by top weekly inserters, and workflows by top weekly usage—to distill the best-performing entries.
   
   Two dedicated Sort nodes are used to isolate:
   
   - The Top 10 Creators
   - The Top 50 Workflows
   
   From there, the results are merged and enriched to ensure creator and workflow statistics are linked correctly using the username as a common field.
   
   🤖 AI-Powered Insight Generation
   
   One of the most innovative parts of this workflow lies in its use of large language models (LLMs).
   
   - GPT-4o-mini from OpenAI is tasked with producing an in-depth narrative-style Markdown report. It explains trends, highlights unique workflows, and assesses creator impact across the ecosystem.
   - Google Gemini (PaLM) is then used to distill this long-form content into a concise Top 10 List of workflows, complete with hyperlinks and descriptions.
   
   These LLMs enable the workflow to move beyond raw data—and into narrative storytelling, giving reports a level of professionalism that manual processes would struggle to match.
   
   📤 Multi-Platform Delivery
   
   Once generated, reports are saved in multiple locations:
   
   - Saved locally if running on a self-hosted instance (optional).
   - Uploaded to Google Drive for collaboration or archival purposes.
   - Converted into HTML and sent through Gmail.
   - Summarized highlights posted directly to a Telegram group for community engagement.
   
   This multi-channel integration makes it easy to ensure the insights reach the right stakeholders, wherever they are.
   
   📊 Community Impact & Use Cases
   
   This workflow is especially useful for:
   
   - Community managers tracking engagement and contribution levels.
   - New users seeking inspiration from the most adopted and admired workflows.
   - Contributors curious about how their work is being used.
   - Organizations looking to invest or collaborate with top automation creators.
   
   Beyond mere statistics, this AI-driven workflow tells the story of the n8n community: who the innovators are, what problems they’re solving, and why their work resonates.
   
   🔧 Technical Highlights
   
   - Declarative tooling with n8n's "toolWorkflow" node integrates seamlessly with LangChain-based agents and tools.
   - OpenAI’s GPT-4o is used intelligently with a system prompt that guides it to produce well-structured Markdown reports, ensuring consistent formatting.
   - Google Gemini is leveraged for task-specific copywriting and logic extraction (like the Top 10 list generation).
   - Reports are converted, emailed, and stored with extensible n8n capabilities, allowing for future integrations like Slack, Notion, or other CMSs.
   
   🎯 Conclusion
   
   The AI Agent for n8n Leaderboard Reporting is more than a workflow—it’s an end-to-end reporting system that showcases the capabilities of combining low-code orchestration, open data, AI, and cloud integrations in one cohesive automation.
   
   It shines a spotlight on the creators pushing boundaries, inspires others to build more intelligently, and provides a scalable reporting practice for a fast-growing ecosystem.
   
   All in all, it’s a brilliant example of how automation and AI can democratize analytics and storytelling across open communities.
   
   —
   
   Want to try it yourself? Visit:  
   🔗 GitHub Source: https://github.com/teds-tech-talks/n8n-community-leaderboard  
   📊 Leaderboard Dashboard: https://teds-tech-talks.github.io/n8n-community-leaderboard/

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.