This article provides a complete, practical walkthrough of the Webhook Telegram Create 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:  
   Streamline Jira Notifications via Telegram with n8n: A Step-by-Step Workflow Automation
   
   Meta Description:  
   Learn how to effortlessly automate Jira notifications to Telegram using n8n. This guide walks through a real-world workflow that sends alerts for created, updated, or reassigned Jira issues directly to developers via Telegram.
   
   Keywords:  
   Jira, Telegram, n8n, automation, webhook, Jira integration, Telegram bot, project management, developer notifications, workflow automation
   
   Third-Party APIs Used:
   
   - Jira (Atlassian) Webhooks
   - Telegram Bot API
   
   Article:
   
   In the fast-paced world of software development, staying updated on task assignments, issue statuses, and project changes is critical — yet email notifications often go unnoticed or are delayed. A better solution? Direct, real-time notifications in messaging platforms like Telegram. With the help of n8n, an open-source workflow automation tool, you can integrate Jira and Telegram to streamline developer communications.
   
   This article explores how to automatically send customized Jira notifications to developers’ Telegram accounts using a sophisticated n8n workflow. Whether you're alerting team members about new issues, important updates, or changes in assignment, this automation ensures important Jira events never go unnoticed.
   
   🎯 Use Case
   
   You want to notify developers immediately when:
   
   - A new issue is created in Jira
   - An existing issue is updated
   - An issue is reassigned to them
   
   And you want this notification delivered right to their Telegram app.
   
   🏗️ The Workflow at a Glance
   
   Here’s a breakdown of the n8n workflow and how it functions:
   
   1. Webhook Trigger (Jira Events):
   
   At the heart of this workflow is a Webhook node named jira-webhook. This listens for incoming POST requests from Jira—specifically, webhooks related to issue events (creation, updates, and assignment changes). It ensures only valid payloads are processed by verifying three key checkmarks:
   
   - The body of the issue is present
   - The assignee field is not empty
   - The event type (e.g. created, updated) exists in the headers
   
   2. Mapping Jira Users to Telegram Chat IDs:
   
   The telegram account node is a Code node that maps Jira account IDs to Telegram chat IDs using a simple object.
   
   Example:
   ```javascript
   const telegramAccounts = {
     "jira-user-123": 123456789, // Telegram Chat ID
   };
   ```
   
   This mapping ensures each Jira assignee is correctly associated with their respective Telegram chat ID so the messages are routed properly.
   
   3. Validation of User Mapping:
   
   The check tg account exists node serves an important validation step. It checks whether the Jira user (now mapped to a telegramChatId) exists in the dictionary. If not, the workflow stops here. This is useful in large teams where only some users are enabled for Telegram alerts.
   
   4. Determining the Type of Event:
   
   The check type node is a Switch node. It reads the event type from the webhook headers and determines if the Jira event was a creation, update, or reassignment. Based on this categorization:
   
   - For "created", it triggers the Send Create node
   - For "updated", it triggers the Send Update node
   - For "change-assignee", it triggers the Send Assign Alert node
   
   5. Delivery of Telegram Messages:
   
   Depending on the event, the workflow sends a tailored message to the Telegram user via one of three Telegram nodes:
   
   - 🚀 Send Create – Notifies about new issues
   - 🛠 Send Update – Alerts on updated issues
   - 👨‍💻 Send Assign Alert – Informs a user they’ve been assigned to an issue
   
   Each message includes important details such as:
   
   - Issue Type
   - Project Name
   - Issue Key
   - Title
   - Description
   - Creation Time (Formatted)
   
   This ensures the developer gets all the relevant information at a glance without needing to jump into Jira.
   
   🧩 Telegram Bot API Integration
   
   The Telegram message nodes in the workflow use Telegram’s Bot API to send messages. You’ll need to have:
   
   - A Telegram Bot created via BotFather
   - The user’s chat ID (can be obtained via the bot)
   - The Telegram API credentials configured in n8n
   
   🤝 Jira Webhooks Integration
   
   You'll configure Jira to send webhook events (e.g., issue created, updated, assigned) to the n8n webhook node. Jira’s webhook settings allow you to target specific issue events and even limit which projects or fields to include.
   
   💼 Extendability Tips
   
   This workflow offers powerful extensibility options:
   
   - Add support for additional webhook types (resolved, closed, etc.)
   - Attach custom emojis, sounds, or formatting to increase readability
   - Log each message to a Notion database or Google Sheets for auditing
   - Use filters to alert users only for high-priority issues
   
   🚀 Final Thoughts
   
   This n8n workflow is a brilliant example of how no-code and low-code automation tools can bring together systems like Jira and Telegram in a developer-centric way. Automating issue notifications ensures tasks never slip through the cracks and developers are always in the loop — not lost in their inbox.
   
   By integrating Jira and Telegram via this workflow, you not only enhance your team’s productivity but also foster faster decision-making and accountability.
   
   Start building smart developer workflows today with n8n — the possibilities are endless.
   
   —
   
   Get Started:
   - n8n: https://n8n.io/
   - Telegram Bot API: https://core.telegram.org/bots/api
   - Jira Webhooks: https://developer.atlassian.com/server/jira/platform/webhooks/
   
   🛠 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.