This article provides a complete, practical walkthrough of the Http Rssfeedread 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 Posting RSS Feed Updates to Mastodon Using n8n: A Step-by-Step Workflow
   
   Meta Description:
   Discover how to automate RSS feed updates to your Mastodon timeline using an n8n workflow. Learn how this low-code solution reads RSS feeds every 10 minutes and posts new articles seamlessly.
   
   Keywords:
   n8n automation, RSS feed to Mastodon, Mastodon API, RSS notification bot, n8n workflow tutorial, content automation, Mastodon social posting, no-code automation, RSS to social media, Tiny Tiny RSS, n8n cron trigger, Mastodon integration
   
   Third-party APIs Used:
   1. Tiny Tiny RSS (RSS Feed)
   2. Mastodon API (https://{your Mastodon instance}/api/v1/statuses)
   
   Article:
   
   Automate RSS-to-Mastodon Posting with n8n: A Low-Code Guide
   
   In an age where content flows in every second from countless RSS feeds, automating content distribution is not just efficient—it’s essential. Whether you're a content curator, blogger, or social media manager, automating your feed sharing to decentralized platforms like Mastodon can help improve visibility without burning time. Enter n8n, the powerful node-based workflow automation tool.
   
   This article explores how to use n8n to automate the posting of new articles from an RSS feed to your Mastodon timeline. We’ll break down the workflow and explain each step so you can recreate or adapt it to suit your automation needs.
   
   What Does This Workflow Do?
   
   The "post to mattermost v2" workflow in n8n isn’t actually targeting Mattermost (despite its name), but instead takes new items from an RSS feed—like those generated by Tiny Tiny RSS—and posts them to your Mastodon account every 10 minutes. It checks for new posts, ensures no duplication, and publishes only new content.
   
   Let’s dive into how it works.
   
   The Workflow Structure: Node-by-Node Breakdown
   
   1. Cron Trigger (Every 10 Minutes)
   Type: Trigger Node
   
   The process begins with a Cron Trigger node. It schedules the workflow to check for RSS feed updates every 10 minutes. This ensures timely updates to your Mastodon timeline without any manual action.
   
   2. RSS Feed Read
   Type: Input Node
   
   Next, the RSS Feed Read node connects to the public RSS feed (e.g., from Tiny Tiny RSS). It fetches the latest articles at every scheduled interval. The URL of your RSS feed should be added in this node's parameters.
   
   Key parameter:
   - URL: {YOUR TINY TINY RSS PUBLIC FEED}
   
   3. Function Node – Filter and Deduplication Logic
   Type: JavaScript Function Node
   
   This node is crucial. It filters out already-posted items by comparing unique post IDs with a stored value (static data). This prevents duplicate posts and keeps a record of what was most recently published.
   
   Functionality includes:
   - Accessing the last known RSS post ID
   - Comparing it with the newest fetched post
   - Creating an array of new items to publish
   - Updating the saved ID if new posts are found
   
   It's a smart mechanism to only process fresh posts, and it preserves the feed state even across workflow runs.
   
   4. IF Node – Conditional Check
   Type: Conditional Logic Node
   
   Here, the workflow checks if there are new items to post. Specifically, it compares the current post ID and ensures it is not 'NaN' (used as a flag for "no new posts").
   
   If a new post exists:
   → Proceed to post to Mastodon.
   
   If no new post:
   → Exit gracefully using the NoOp node.
   
   5. HTTP Request – Post to Mastodon
   Type: HTTP Request Node
   
   The HTTP Request node posts content to your Mastodon instance using its official API. It sends a POST request to /api/v1/statuses with the article title and link as the status content.
   
   Key configuration:
   - URL: https://{your Mastodon instance}/api/v1/statuses?access_token={your Mastodon access token}
   - Method: POST
   - Body/Query:
     - status: {{$node["RSS Feed Read"].json["title"]}} \n{{$node["RSS Feed Read"].json["link"]}}
   
   It leverages API authentication by embedding the access token directly into the URL. Note that for production usage, it's safer to use headers or OAuth token management.
   
   6. NoOp Node – Workflow End
   Type: No Operation Node
   
   If there are no new articles to post, this node is triggered. As a dummy step, it ends the workflow silently without taking any further action. It’s important for clean workflow exits to avoid unnecessary errors or retries.
   
   Benefits of This Workflow:
   
   - Time Saving: Your Mastodon account stays updated without manual intervention.
   - Error Free: The Function node ensures you don’t post duplicate content.
   - Open & Flexible: Can be extended to post to other social media, send email updates, or integrate with Slack or Discord.
   - Open Source: Built using open protocols like RSS and platforms like Mastodon, keeping your workflow decentralized and under your control.
   
   How to Customize It:
   
   You can extend this workflow to:
   - Support multiple RSS feeds using a Merge node
   - Add hashtags or mentions dynamically
   - Post summaries or truncated content
   - Save posted items to databases like Airtable or Google Sheets for logging
   
   Conclusion:
   
   This n8n workflow is a robust example of how low-code automation can streamline repetitive digital tasks. By connecting your RSS feed with your Mastodon account, you’re ensuring that your audience stays in the loop while saving time and mental bandwidth.
   
   Whether you’re sharing news articles, blog posts, or curated content, this technique gives you the power to automate with precision—all hosted on your terms.
   
   Try it out today, and let automation do the heavy lifting for your social publishing.
   
   Want more tips? Join the growing n8n community or explore custom node-building to expand your automation horizons.
   
   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.