This article provides a complete, practical walkthrough of the Manual Rssfeedread Automate Triggered 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 Multi-Feed RSS Aggregation with n8n: A Step-by-Step Workflow
   
   Meta Description:  
   Learn how to use n8n to build a no-code RSS aggregator that collects and merges blog posts from multiple sources. Discover how to loop through feeds, batch process them, and output unified results—perfect for news dashboards or personal aggregation tools.
   
   Keywords:  
   n8n, RSS aggregation, no-code automation, workflow automation, medium devto rss, batch processing, merge RSS feeds, n8n tutorial, n8n split in batches, n8n IF node, automating RSS
   
   Third-Party APIs Used:
   - Medium RSS Feed (https://medium.com/feed/n8n-io)
   - Dev.to RSS Feed (https://dev.to/feed/n8n)
   
   Article:
   
   In our increasingly interconnected world, staying up to date with multiple content sources can become overwhelming. Whether you're tracking blog updates for professional growth or compiling feeds for a news dashboard, manually checking each site is time-consuming and inefficient.
   
   Enter n8n, the extendable, node-based workflow automation tool that empowers users to automate complex processes with little or no code. In this article, we’ll walk through how to design a powerful n8n workflow that automatically aggregates blog posts from multiple RSS feeds, including Medium and Dev.to, all without writing traditional backend code.
   
   🎯 The Goal  
   To construct a workflow that collects items from multiple RSS feeds, processes them in batches, and merges the results into a single structured output.
   
   🔧 Workflow Overview  
   The final workflow includes six key nodes:
   
   1. Manual Trigger  
   2. Input Function (to set RSS URLs)  
   3. SplitInBatches  
   4. RSS Feed Read  
   5. IF (to control flow when batching ends)  
   6. Merge Data (compiling all feed items into a single array)  
   
   We will break down each component in detail.
   
   🧩 Step-by-Step Breakdown
   
   1. Manual Trigger Node
   
   The “On clicking ‘execute’” node acts as the workflow’s starting point. It’s primarily used for manually executing the workflow during setup and testing. Eventually, this could be replaced with a time-based trigger like a Cron node for scheduled fetching.
   
   2. Function Node – Defining Your RSS Sources
   
   Immediately after the trigger, a Function node defines the sources of your RSS feeds. This is where you tell the system which URLs to fetch from:
   
   {
     json: {
       url: 'https://medium.com/feed/n8n-io'
     }
   },
   {
     json: {
       url: 'https://dev.to/feed/n8n'
     }
   }
   
   These two endpoints serve as inputs and define two content providers focused on n8n-related topics—one from Medium and the other from Dev.to.
   
   3. SplitInBatches – Handle Each Feed Separately
   
   The SplitInBatches node ensures that the RSS feeds are processed one at a time, which is particularly useful when you want to control flow or manage rate limits. In this case, we process one feed at a time (batch size: 1).
   
   4. RSS Feed Read – Fetch Feed Content
   
   This node reads each RSS URL individually and pulls all available items. It dynamically references $json["url"] to operate on the URLs supplied in the Function node. This modular design allows easy extension—just add more URL entries if more feeds are needed.
   
   5. IF Node – Conditional Looping
   
   One of the most interesting elements here is the use of an IF node. It helps us know when we’ve reached the end of our batched feed list by checking:
   
   value2 = {{$node["SplitInBatches"].context["noItemsLeft"]}}
   
   This clever use of context tracking controls whether to loop back to the next batch (another RSS feed) or to move forward to the data aggregation step.
   
   6. Merge Data – Consolidate All Feed Items
   
   Finally, the Merge Data node uses a custom JavaScript function to collect and consolidate all individual feed items into one array:
   
   const items = $items("RSS Feed Read", 0, counter).map(item => item.json);
   allData.push.apply(allData, items);
   
   Once the loop finishes and all batches are processed, this node outputs a clean, unified dataset containing all articles pulled from the defined RSS feeds.
   
   🧠 Why This Matters
   
   - Saves time: Instead of manually visiting Medium or Dev.to, gather updates from both with one click (or automate it).
   - Improve content visibility: Use this workflow to feed content into dashboards, email digests, or content management systems.
   - Scalable: Simply add more RSS URLs in the initial function node without reworking the core logic.
   
   🔄 Extending the Workflow
   
   Want even more power? Try the following enhancements:
   
   - Add a Cron node to run daily or hourly.
   - Filter posts based on keywords using another IF node or a Switch.
   - Send the output to a Google Sheet or Notion database for archival.
   - Connect with Telegram or Slack to deliver new articles directly to your chat.
   
   🧪 Final Thoughts
   
   This RSS aggregation workflow highlights just how flexible and robust n8n can be. Leveraging looping, batch control, conditional flow, and data merging, this setup is a foundational piece for anyone in need of real-time feed consolidation. Whether you're building tools for personal knowledge tracking or professional insights delivery, n8n offers the modularity to scale and adapt.
   
   Automation isn't just about saving time—it’s about unlocking new possibilities. With tools like n8n, you don't just get results faster—you get smarter outcomes.
   
   👨‍💻 Get Started
   
   You can import this workflow directly into your local or cloud n8n instance and customize it as needed. 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.