This article provides a complete, practical walkthrough of the Rssfeedread Htmlextract 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:
   How to Automatically Fetch New RSS Feed Articles with Images Using n8n
   
   Meta Description:
   Learn how to create an automated n8n workflow that checks The Verge RSS feed every 5 minutes, filters out previously seen articles, and extracts images from new posts. Boost your content curation with automation.
   
   Keywords:
   n8n workflow, RSS feeds, RSS automation, fetch new articles, image extraction, The Verge RSS, n8n tutorials, content automation, HTML parsing, data filtering
   
   Third-Party APIs Used:
   - The Verge RSS Feed: http://www.theverge.com/rss/full.xml (RSS content from a third-party website)
   
   Article:
   
   Automating Content Curation with n8n: Fetch Only New RSS Feed Articles with Images
   
   In an age where content is being published faster than ever, efficiently curating articles from sources like The Verge can significantly benefit digital marketers, newsletter curators, and tech enthusiasts. Using n8n—a powerful workflow automation tool—you can automatically fetch new RSS posts and extract accompanying images every few minutes.
   
   In this guide, we’ll walk through a simple yet effective n8n workflow that checks The Verge’s RSS feed every 5 minutes, filters out duplicate entries, and extracts images directly from each article’s content. This way, only unseen posts with visual content are captured for further use—like newsletters, social media shares, or personal reading lists.
   
   Workflow Overview
   
   The workflow titled “Get only new RSS with Photo” is designed to:
   
   - Trigger every 5 minutes using a Cron node.
   - Fetch the latest articles using the RSS Feed Read node.
   - Filter and select key information (title, snippet, link, etc.).
   - Compare with previously seen items and exclude duplicates.
   - Extract the first image from the HTML content of new articles.
   
   Let’s break this down node by node.
   
   1. Cron Node: Time-Based Trigger
   
   The Cron node begins the automation process. It's set to trigger every 5 minutes, ensuring the workflow scans for fresh content at regular intervals.
   
   Parameters:
   
   {
     "mode": "everyX",
     "unit": "minutes",
     "value": 5
   }
   
   This schedule makes the workflow responsive without overwhelming the provider or your system.
   
   2. RSS Feed Read Node: Pulling Articles from The Verge
   
   Next, the RSS Feed Read node fetches the full RSS content from The Verge:
   
   URL used:
   http://www.theverge.com/rss/full.xml
   
   This node pulls all recent entries including their title, link, publication date, author, and formatted HTML content.
   
   3. Filter RSS Data (Set Node): Cleaning and Organizing the Data
   
   The Set node acts as a filter to extract only the most useful data fields. The output includes:
   
   - Title
   - Subtitle / Content Snippet
   - Author
   - URL
   - Date
   - Raw HTML Content
   
   We use expressions like {{$json["contentSnippet"]}} and {{$node["RSS Feed Read"].json["pubDate"]}} to structure the data meaningfully for downstream processing.
   
   4. Function Node: Filter Out Previously Seen Articles
   
   The heart of the deduplication lies in the “Only get new RSS1” Function node. This script checks the publication dates of the feed items against previously stored article dates using workflow static data.
   
   Key steps:
   
   - Extracts all publication dates (used as ID).
   - Compares them to stored dates.
   - Stores new dates in memory to use next time.
   - Returns only new, unseen articles for further processing.
   
   This prevents duplicate posts from reappearing every time the workflow runs.
   
   Sample code highlight:
   
   const staticData = getWorkflowStaticData('global');
   const newRSSIds = items.map(item => item.json["Date"]);
   const oldRSSIds = staticData.oldRSSIds;
   
   The use of workflow static data ensures that this logic persists across workflow runs without needing a separate database.
   
   5. HTML Extract Node: Pulling Image URLs
   
   Not all RSS feeds provide image URLs cleanly. That’s where the HTML Extract node comes into play. It parses the HTML content of each article and pulls the src attribute of the first <img> tag found.
   
   CSS Selector used:
   img
   
   Return value set to:
   attribute — “src”
   
   This gives you a direct URL to the image included in the content, which you can use for previews, thumbnails, or shares.
   
   Conclusion: Automate and Scale Your Content Operations
   
   This n8n workflow is simple, elegant, and highly effective. By using native nodes and a bit of JavaScript filtering, it automates what would otherwise be a repetitive and time-consuming process. Every 5 minutes, your automation wakes up, pulls recent RSS entries, deduplicates the list, and extracts images from each new post—all ready for delivery into another application (like Telegram, Slack, or Airtable).
   
   Whether you're building a news aggregator, creating a content archive, or populating a curated tech newsletter, this workflow provides the backbone to streamline your workflow with minimal manual intervention.
   
   Start simple and expand—n8n’s modular design makes it easy to integrate this setup with automation pipelines, databases, and cloud apps later on.
   
   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.