This article provides a complete, practical walkthrough of the Rssfeedread Telegram Create 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 Tech and Security News Updates with n8n and Telegram
   
   Meta Description:  
   Discover how this n8n workflow automates the collection and distribution of IT and cybersecurity news from multiple RSS feeds directly to Telegram channels. Learn how it filters and classifies content for seamless, real-time updates.
   
   Keywords:  
   n8n, automation, Telegram bot, RSS feeds, IT news, cybersecurity alerts, no-code workflow, real-time updates, news categorization, workflow automation
   
   Third-Party APIs Used:
   
   - Telegram API (via n8n's Telegram node)
   - Multiple third-party RSS feeds from tech and security blogs (via RSS URLs)
   
   Article:
   
   In an age where information flows at lightning speed, staying informed about the latest advancements in IT and cybersecurity is crucial. Whether managing a tech team or curating content for a knowledge-sharing group, automating news updates can save time and ensure consistent delivery of relevant information. This is where low-code tools like n8n become exceptionally handy.
   
   In this article, we’ll explore how an n8n workflow can be used to consolidate news from various tech-related RSS feeds and automatically forward them to different Telegram channels based on their content.
   
   Overview of the Workflow
   
   At its core, this n8n workflow scrapes designated RSS feeds every 10 minutes and parses the content for targeted delivery. It intelligently identifies which articles are general tech updates, which ones are related to cybersecurity, and routes Microsoft 365-specific content to a dedicated channel. Here's how each component functions:
   
   1. Cron Node – Timed Trigger  
   The workflow kicks off with a Cron node configured to execute every 10 minutes. This ensures that every new piece of content is captured promptly without manual intervention.
   
   2. RSS Source – Feed URLs  
   A Function node called "RSS Source" lists five RSS feed URLs. These are technology-focused blogs and sites, including:
      - Uniko’s Hardware
      - iThome
      - PlayPC
      - OCF Lab
      - Microsoft Tech Community Blog (specifically filtered for Microsoft 365 content)
   
   3. SplitInBatches – Sequential Processing  
   The SplitInBatches node ensures that each RSS feed URL is processed one at a time to avoid congestion and simplifies handling within the n8n environment.
   
   4. RSS Feed Read – Extracting Content  
   Each RSS feed URL is passed to an RSS Feed Read node, which fetches all articles posted since the last trigger cycle.
   
   5. only get new RSS – De-duplication  
   This node is a custom Function node that uses n8n’s static global data to differentiate between new and previously processed articles. It filters out any already-seen entries by comparing their ISO date timestamps. This prevents sending duplicate messages to Telegram channels.
   
   6. Intelligent Content Routing  
   Articles go through two layered filters:
      - IF-1 checks whether the content is from the Microsoft Tech Community, ensuring that blog posts related to Microsoft 365 get routed exclusively to the M365 Telegram channel.
      - IF-2 looks for keywords or regular expressions in the article title. It includes a rich set of traditional Chinese and English terms related to cybersecurity, such as 資安 (Information Security), 駭 (Hack), 釣魚 (Phishing), and Security.
   
   7. Telegram Distribution  
   Based on the filtered results:
      - Microsoft 365-specific articles go to the Telegram_M365 channel.
      - Cybersecurity-related articles are routed to Telegram_Security.
      - All remaining articles, likely general IT updates, are sent to Telegram_IT.
   
   Each Telegram node constructs a simple text message combining the post title and link, then sends it to a predefined chat ID.
   
   Workflow Resilience – Static Data Clearing  
   There's also a "Clear Function" node that provides the capability to reset the global static data store used to track previously seen articles. This can be manually triggered to reset the de-duplication logic if needed.
   
   Why This Workflow Matters
   
   This kind of automation achieves three significant benefits:
   
   1. Time Savings  
   Instead of manually reading multiple RSS feeds, the workflow aggregates and sorts updates automatically.
   
   2. Precision and Relevance  
   The dual IF node structure allows for accurate routing of information based on content, avoiding message fatigue and keeping the audience engaged.
   
   3. Scalability  
   Need to add more feeds or conditions? Simply extend the RSS Source Function or adjust the regex filters—no need to overhaul the logic.
   
   Final Thoughts
   
   With tools like n8n, information management becomes modular, powerful, and lightweight. This workflow is a practical example of how even non-developers can build robust content delivery systems. From daily IT news to zero-day vulnerabilities, your Telegram groups will always stay a step ahead—with minimal effort.
   
   Whether you're a solo tech enthusiast or managing a team, automating digital news gathering allows you to focus more on decision-making and less on information sourcing. Welcome to the next level of workflow automation.
   
   —  
   By leveraging the power of n8n and the Telegram API, this setup transforms the way news is delivered, democratizing access to tailored information streams—automatically and intelligently.

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.