This article provides a complete, practical walkthrough of the Noop Telegram 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:
   Automate Currency Rate Updates on Telegram with n8n: An RSS to Telegram Workflow
   
   Meta Description:
   Learn how to automate currency exchange rate updates—like the Japanese Yen—to Telegram using an n8n workflow that reads from an RSS feed and posts to a Telegram channel. Say goodbye to manual updates with this efficient low-code automation!
   
   Keywords:
   n8n workflow, Telegram bot, RSS to Telegram, automate currency updates, currency rate automation, Japanese Yen exchange rate, RSS feed automation, no-code automation tools, Telegram automation, n8n Telegram integration, n8n RSS bot
   
   Third-Party APIs Used:
   - RSS Feed (any external RSS source)
   - Telegram API
   
   Article:
   
   Keep Your Telegram Group Updated with Exchange Rates Using This n8n RSS-to-Telegram Workflow
   
   If you're looking to keep your Telegram channel or group informed with the latest Japanese Yen exchange rates—or any live feed updates—without lifting a finger, you're in luck. Using n8n, a powerful open-source workflow automation tool, you can automatically monitor an RSS feed for updates and send formatted alerts directly to Telegram. No coding expertise is required, and once set up, the workflow runs in the background to streamline your notifications.
   
   In this article, we’ll explore how the provided n8n workflow achieves that automation and why it’s an ideal solution for content creators, finance communities, and business teams who want real-time, automated insights delivered to messaging platforms like Telegram.
   
   Overview of the Workflow: RSS to Telegram
   
   The core goal of the workflow is to periodically check an RSS feed (such as one for currency exchange updates), verify if the latest data is new compared to the last checked update, and post it to a Telegram channel or group.
   
   Here's a simple breakdown of how it works:
   
   1. Cron Trigger:
   The workflow begins with a Cron node configured to run every minute. This ensures the workflow is constantly checking for the latest content in (near) real-time. You can easily adjust the frequency depending on how timely your updates need to be.
   
   2. RSS Feed Reader:
   Next, the "RSS Feed Read" node pulls data from a specified RSS feed URL. This could be any feed that provides information such as currency changes, news headlines, or blog posts. In our example, we’re monitoring the Japanese Yen exchange rates.
   
   3. Store Last Read Time:
   To avoid reposting duplicate entries, the "Latest Read" function node retrieves a stored timestamp indicating when the last valid feed item was processed. This timestamp is stored globally within the n8n workflow static data.
   
   4. Conditional Check (IF Node):
   The "IF" node cross-checks two important conditions:
      - Is the current item's date newer than the last recorded read date?
      - Does the item have a title (helping filter out empty or malformed entries)?
      
   Only when both are true does the workflow proceed.
   
   5. Store the New Timestamp:
   If a new update passes the IF check, the "Write Latest Read" function updates the stored timestamp using the current item’s publication date. This is crucial for ensuring that the next run of the workflow skips past already processed data.
   
   6. Telegram Message Dispatch:
   Finally, the "Telegram" node formats and sends a message to the desired Telegram group or channel. The message includes a header "💹 #日幣匯率" followed by the title and a direct link to the content—perfect for quick information access.
   
   7. NoOp Node:
   If the condition isn't met (i.e., if data is not new or is empty), the "NoOp" node acts as a passive sink to terminate the workflow run properly without further action.
   
   Why Use This Workflow?
   
   - Fully Automated: Once activated, it runs on schedule with no user interaction required.
   - Customizable: You can adapt this flow to work with feeds for other currencies, news, or even social media updates.
   - Efficient Filtering: It ensures only new, non-redundant items are posted, keeping your Telegram feed clean and concise.
   - Scalable and Expandable: Add logic to filter by keyword, tag important changes, append historical data, or even reach other platforms like Slack or Discord.
   
   Use Case Example: Japanese Yen Exchange Rate Alerts
   
   Imagine you're running a finance-focused Telegram community. Members often ask about real-time foreign currency valuations, including the Japanese Yen (JPY). By connecting an RSS feed source from a financial site that publishes exchange rate updates (like XE, Bloomberg, or a national bank), you can push timely, authoritative updates directly into Telegram without constant manual updates.
   
   This ensures your group stays informed and builds your authority as a data-savvy curator of real-time insights.
   
   Workflow Customization Tips
   
   - Change the RSS feed URL to any source relevant to your needs.
   - Modify the text formatting in the Telegram node to include emojis, hashtags, or short summaries.
   - Add a filter for keywords (e.g., "JPY", "Bank of Japan") in the IF node to avoid posting irrelevant feed items.
   - Schedule less frequent intervals using the Cron node if daily updates are sufficient.
   
   Conclusion
   
   Using n8n's modular, low-code framework, automating RSS-to-Telegram delivery becomes surprisingly easy and powerful. Whether you're informing a private channel, coordinating a distributed team, or building a public bot for your brand, this workflow is a robust solution to streamline information delivery.
   
   By combining an external RSS feed, a timestamp check, and Telegram messaging, this automation empowers you to spend less time retyping updates and more time acting on them.
   
   If you're new to n8n, this is a perfect beginner project that yields high value—and once you experience the ease, you’ll want to automate everything.
   
   Get started today, and let your data flow where it needs to—automatically.
   
   — End —

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.