This article provides a complete, practical walkthrough of the Telegram Code Create Triggered n8n agent. It connects Telegramtrigger, Googledrive, Googlesheets, Gmail 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 Telegramtrigger, Googledrive, Googlesheets, Gmail, 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

• Telegramtrigger
• Googledrive
• Googlesheets
• Gmail

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:  
   Streamlining Delivery Tracking with n8n: A Telegram Bot Workflow for Last-Mile Logistics Automation
   
   Meta Description:  
   Discover how to automate your last-mile delivery operations using n8n, Telegram Bot API, Google Drive, Google Sheets, and Gmail. This workflow enables efficient data collection from drivers and seamless logistics tracking.
   
   Keywords:  
   n8n workflow, Telegram bot, delivery automation, logistics tracking, Google Sheets, Google Drive API, Gmail API, last mile delivery workflow, shipment tracking automation, Telegram delivery assistant
   
   Third-Party APIs Used:
   
   1. Telegram Bot API – for chat-based driver interaction and message handling
   2. Google Sheets API – for storing shipment data such as coordinates, images, and timestamps
   3. Google Drive API – for uploading and sharing shipment photos
   4. Gmail API – for sending delivery confirmations to the logistics team
   
   Article:
   
   ---
   
   Efficient Delivery Tracking Using n8n and Telegram Bot Integration
   
   In a fast-paced supply chain, ensuring on-time and transparent delivery is vital to customer satisfaction and operational success. While legacy systems often struggle with time-consuming manual inputs and communication bottlenecks, no-code platforms like n8n offer a transformative opportunity to automate and streamline workflows with ease.
   
   This article introduces a sophisticated n8n workflow tailored for logistics teams—particularly those tasked with last-mile delivery. By integrating Telegram, Google Drive, Google Sheets, and Gmail APIs, this fully automated system collects shipment details from drivers on the go and updates your backend systems instantly.
   
   Let’s explore how the workflow functions and what makes it a powerful logistics automation tool.
   
   Step 1: Chat-Based Workflow Initiation
   
   The workflow begins with a Telegram Trigger Node. When a delivery driver sends any command to the Telegram bot (e.g., /addShipment), it activates the workflow. Using a command-detection filter, incoming messages are evaluated to determine the kind of user input expected—be it a shipment number, GPS data, a delivery photo, or a final confirmation.
   
   Drivers receive an automated welcome message explaining how to interact with LogiGreenTrack, the virtual assistant, and what steps are involved:  
   1️⃣ Enter shipment/delivery number  
   2️⃣ Share GPS location  
   3️⃣ Upload a shipment photo  
   4️⃣ Send confirmation
   
   Step 2: Dynamic Input Collection Based on State Flags
   
   A key innovation in the workflow is the use of state flags stored in global static data via n8n. Depending on the last known state of the conversation (e.g., waiting for GPS), the workflow routes the message to the appropriate block for handling.
   
   - If waitingShipmentNumber is active, the bot prompts the user to input the delivery number and stores it.
   - If waitingGPS is the current state, it requests the GPS location, extracts latitude and longitude, and stores this data.
   - If waitingPhoto is detected, the workflow expects (and processes) a photo upload.
   
   All of these user interactions are handled using Telegram reply messages enhanced with forceReply and dynamic parsing to ensure structured data capture.
   
   Step 3: Storing and Uploading Data
   
   Once data inputs are gathered, they’re committed to persistent storage for reporting and monitoring.
   
   - Shipment Number, GPS coordinates, and image filenames are stored in n8n's globalStaticData.
   - Images sent by the user are uploaded to a predetermined folder in Google Drive. The workflow even generates and stores a shareable public link.
   - The gathered data (shipment number, coordinates, timestamp, and image link) is appended to a Google Sheets document for internal auditing or dashboard visualization.
   
   Step 4: Notification and Confirmation
   
   After completing all steps, the workflow sends delivery confirmations automatically:
   
   - To the driver via Telegram, with an HTML-parsed message summarizing all shipment info, including location and image
   - To the distribution or logistics manager via Gmail, complete with:
     - Delivery number
     - Latitude and longitude
     - Delivery time
     - Embedded image from Google Drive
   
   This ensures all stakeholders are notified in real time, with clear and organized information.
   
   Why Use This Workflow?
   
   ✅ Real-time and scalable logistics tracking  
   ✅ No code required—powerful low-code logic with n8n  
   ✅ Seamless onboarding with intuitive Telegram commands  
   ✅ Reliable data storage and retrieval via Google Cloud  
   ✅ Customizable for additional steps like e-signature or barcode scanning
   
   You can find a visual guide with annotations and a video walkthrough here:  
   📺 [Watch My Tutorial](https://youtu.be/9NS4RYaOwJ8)
   
   Final Thoughts:
   
   This n8n workflow showcases the enormous potential of combining no-code automation with messaging APIs and cloud storage. With minimal setup, it’s ready to revolutionize any delivery fleet’s tracking process— streamlining operations, reducing back-office workload, and increasing data accuracy.
   
   Transport managers, logistics companies, or solo delivery drivers interested in building resilient delivery workflows with real-time feedback should definitely consider adopting a system like this.
   
   For more technical deep dives or support, explore the official docs for:  
   - [Telegram Trigger Node](https://docs.n8n.io/integrations/builtin/trigger-nodes/n8n-nodes-base.telegramtrigger/)  
   - [Google Drive Node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googledrive/)  
   - [Google Sheets Node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets/)  
   - [Gmail Node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.gmail/)
   
   ---
   
   By implementing this workflow, you'll not only bring automation to your operations but also empower field agents through intuitive chat-based guidance—all while keeping your logistics team in the loop in real time.

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.