This article provides a complete, practical walkthrough of the Manual Rssfeedread Automation 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:
   Using n8n to Read and Aggregate RSS Feeds from Multiple Sources
   
   Meta Description:
   Learn how to create an automated workflow in n8n that fetches and processes RSS feeds from multiple sources like Medium and Dev.to using a no-code approach.
   
   Keywords:
   n8n tutorial, RSS automation, n8n workflow, Medium RSS feed, Dev.to RSS feed, no-code automation, RSS feed aggregator, n8n for developers, automation with n8n
   
   Third-Party APIs Used:
   - Medium RSS Feed: https://medium.com/feed/n8n-io
   - Dev.to RSS Feed: https://dev.to/feed/n8n
   
   Article:
   
   Automating RSS Feed Collection in n8n: A Simple Workflow to Aggregate Content from Multiple Sources
   
   In the ever-expanding world of content, staying up to date with multiple platforms can be overwhelming. For developers, tech enthusiasts, or marketing professionals who need to monitor several blogs, RSS feeds are a time-tested solution. But what if you could automate the process of aggregating various RSS feeds into one streamlined workflow?
   
   n8n, an extendable workflow automation tool, allows users to integrate and automate tasks without writing elaborate scripts. In this article, we'll explore a simple n8n workflow that pulls RSS feed data from two notable sources—the Medium blog for n8n and the n8n tag feed on Dev.to.
   
   Let’s break down how this automation works.
   
   Workflow Overview
   
   The workflow titled “Read RSS feed from two different sources” automates the process of fetching blog articles from Medium and Dev.to using RSS feeds. Here are the steps the workflow follows:
   
   1. Manual Trigger Start
   2. Generate RSS URLs using a Code Node
   3. Loop through the Feed URLs
   4. Fetch and Read the RSS Data
   
   We’ll walk through each step and explain how n8n handles the task.
   
   Step 1: Manual Trigger
   
   The workflow begins with a "Manual Trigger" node, labeled “When clicking ‘Execute Workflow’.” This is a simple starting point used for running the workflow manually. It’s particularly useful during development or for sporadically executed flows.
   
   Node:
   - Type: Manual Trigger
   - Purpose: To start the workflow execution manually in the n8n editor
   
   Step 2: Generate Feed URLs with a Code Node
   
   Right after the trigger, the workflow proceeds to a “Code” node. This node outputs an array containing the URLs of two RSS feeds:
   - https://medium.com/feed/n8n-io (official n8n blog on Medium)
   - https://dev.to/feed/n8n (n8n-tagged articles on Dev.to)
   
   These URLs are hardcoded in a small JavaScript snippet. The node outputs one item per URL.
   
   Node:
   - Type: Code
   - Code:
     ```javascript
     return [
       {
         json: {
           url: 'https://medium.com/feed/n8n-io',
         }
       },
       {
         json: {
           url: 'https://dev.to/feed/n8n',
         }
       }
     ];
     ```
   - Purpose: Dynamically provide the RSS feed URLs to process
   
   Step 3: Loop Through Feed URLs
   
   The “Loop Over Items” node, implemented via n8n’s SplitInBatches function, takes the list of URLs and processes them one at a time. This looping mechanism ensures that each feed is read individually in the next step.
   
   Node:
   - Type: SplitInBatches
   - Configuration: Default (batch size = 1)
   - Purpose: Iterate through each feed URL in the list
   
   Step 4: Read RSS Feeds
   
   For each feed URL, the “RSS Feed Read” node kicks in. This node uses the built-in n8n RSS reader to fetch and parse the feed, providing the latest articles, complete with titles, URLs, and excerpts.
   
   Because each feed can include tens of posts, the result of this node will be a set of feed entries for each source.
   
   Node:
   - Type: RSS Feed Read
   - Configuration: Dynamic URL field referencing the current item from the loop
   - Purpose: Fetch articles from the provided RSS feed URL
   
   What Happens After?
   
   While this specific workflow stops after reading the feeds, it provides a solid base for further actions. You could easily extend it to:
   
   - Send the articles to Slack, Discord, or email
   - Save them in a Google Sheet or Airtable base
   - Filter articles based on keywords
   - Post summaries to social media
   
   Why This Workflow Matters
   
   This n8n workflow demonstrates a powerful yet approachable way to automate RSS feed aggregation. With just four nodes, you’re able to fetch data from multiple sources, opening up possibilities for scheduling, filtering, and distribution.
   
   Benefits of using this approach include:
   
   - Centralized feed monitoring
   - Reduced manual checking of multiple sites
   - Compatibility with any RSS-enabled source
   - Easy integration with other services like Notion, Telegram, or GitHub
   
   In essence, if you are a content enthusiast, a community manager, or a developer looking to monitor updates related to a specific topic or brand, building a workflow like this will save you both time and effort.
   
   Future Enhancements
   
   You might consider automating this workflow with a Cron Trigger instead of the Manual Trigger, enabling scheduled runs (e.g., every morning). You’d also benefit from storing processed links to avoid reprocessing the same articles.
   
   Moreover, integrating a sentiment analysis node or webhook notification can make the workflow smarter and more context-aware.
   
   Conclusion
   
   Working with n8n to automate the aggregation of RSS feeds is as efficient as it is customizable. By combining core elements—trigger, code, looping, and RSS reading—you get a minimal yet powerful solution that forms the foundation of any feed processor or content curation tool.
   
   So, whether you're tracking a product release, community discussions, or educational content, n8n has your RSS needs covered. This particular example with Medium and Dev.to is only the beginning; the same logic can be extended to dozens of other platforms that offer RSS support.
   
   With automation tools like n8n, the only limit is your creativity.
   
   — Written by your AI Automation Assistant.

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.