This article provides a complete, practical walkthrough of the Telegram Schedule Import 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 GitHub Issue Notifications Using n8n and Telegram
   
   Meta Description:
   Learn how to automate bug tracking in GitHub and receive issue alerts directly on Telegram using an n8n workflow. Discover how to filter issues based on comment count and streamline developer communication.
   
   Keywords:
   n8n, GitHub automation, Telegram bots, workflow automation, GitHub issues, DevOps tools, filter GitHub issues, issue notifier, n8n tutorial, GitHub to Telegram integration
   
   Third-party APIs Used:
   1. GitHub API – to fetch repository issues
   2. Telegram Bot API – to send messages to user's Telegram account
   
   Article:
   
   Streamlining Developer Workflows: Automating GitHub Issue Notifications to Telegram with n8n
   
   In the fast-paced world of software development, staying on top of incoming issues is critical to resolution speed and productivity. But constantly checking your GitHub dashboard isn't always the most efficient approach. Fortunately, with the help of n8n—a popular open-source workflow automation tool—you can create a workflow to seamlessly push new GitHub issues with specific criteria to your Telegram account in near real time.
   
   In this article, we’ll break down an n8n workflow titled FetchGithubIssues, which connects GitHub and Telegram to automate issue tracking. Whether you're a DevOps engineer, a project manager, or a solo developer, this system can help you stay laser-focused on what's urgent.
   
   Overview of the Workflow
   
   The FetchGithubIssues automation is designed to do the following:
   
   - Regularly check a GitHub repository for new issues labeled “Bug”
   - Extract important fields such as title, creation date, URL, and comment count
   - Filter out issues with more than 5 comments (assuming those are already being handled)
   - Send a formatted message to a Telegram user with the issue title and link
   
   Let’s analyze how each part of the workflow functions.
   
   Step 1: Trigger the Workflow Every 10 Minutes
   
   The automation begins with the Schedule Trigger node labeled “Run Every 10 Minutes.” This ensures that the workflow checks GitHub periodically, offering an almost real-time update cadence.
   
   Step 2: Fetch GitHub Issues
   
   The next step uses the GitHub API through the “Get GitHub Issues” node. This node filters issues with the following query parameters:
   
   - state: open
   - labels: Bug
   - since: issues created within the last 30 minutes
   
   This setup ensures that only fresh, unaddressed bugs are pulled into the pipeline. You’ll need to input the correct repository owner and name for your use case and ensure that you’ve authenticated with GitHub through your n8n credentials.
   
   Step 3: Extract Essential Fields
   
   Raw GitHub responses can contain a lot of extraneous data. To streamline the output, the “Map title, url, created, comments” node—essentially a 'Set' node—extracts just the crucial fields:
   
   - title
   - html_url
   - created_at
   - comments
   
   This transformation stage prep results in cleaner and more manageable data downstream.
   
   Step 4: Filter by Comment Count
   
   Not every issue needs the same level of attention. The next node, “Check for Comments,” is a 'Filter' node that only allows issues with fewer than 5 comments to proceed. The logic here assumes that high-comment issues are already under discussion or review, and the focus should be on those that might have been overlooked.
   
   Step 5: Notify via Telegram
   
   Finally, the “Send message to @user” node uses the Telegram Bot API to send a formatted message that includes the issue title and link. Example output looks something like:
   
   New Issue: Application crashes on save [Link](https://github.com/owner/repo/issues/123)
   
   To configure this, you need:
   
   - A Telegram bot token from @BotFather
   - A chat ID corresponding to your Telegram username or user ID
   - Your Telegram API credentials added to n8n
   
   Deployment Tips
   
   This workflow is currently inactive, so you’ll need to activate it within the n8n interface. Also, the GitHub repository owner and name need to be filled out explicitly. You can optionally extend the filters to include other labels, milestones, or issue assignees.
   
   Why Use This Workflow?
   
   Here are a few standout benefits:
   
   - Time Saving: Automated alerts reduce manual monitoring
   - Accuracy: Filters enhance relevance by eliminating noise
   - Collaboration: Telegram notifications can even be sent to team group chats
   
   Use Cases
   
   - Immediate bug tracking for QA or SRE teams
   - Prioritization of unaddressed, low-visibility issues
   - Alert system for product managers monitoring usability bugs
   
   Conclusion
   
   Using n8n to automate GitHub issue tracking and send alerts via Telegram is a powerful, low-code solution that tightens the feedback loop in development workflows. Whether you’re triaging bugs or just looking to stay aware of new issues without constant tab-switching, this workflow can be a game changer.
   
   Try deploying this automation today, and experience smoother, smarter issue management tailored to your needs.

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.