This article provides a complete, practical walkthrough of the Splitout Code Create Webhook 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 EU Sustainability News: How This n8n Workflow Delivers Daily Green Digests via AI
   
   Meta Description:
   Discover how this advanced n8n workflow scrapes EU news, uses AI to identify sustainability content, and sends a daily curated email digest using Google Sheets, OpenAI, and Gmail.
   
   Keywords:
   n8n automation, sustainability news, EU news digest, OpenAI GPT-4o, Google Sheets automation, Gmail digest, AI news classification, workflow automation, green tech, n8n tutorial
   
   —
   
   Automating Sustainability: How This n8n Workflow Curates, Classifies, and Emails EU Green News Daily
   
   In a digital landscape flooded with information, staying updated on specific topics like sustainability can be overwhelming. But what if you could automate it? This is exactly what a powerful n8n workflow accomplishes—automating the collection, analysis, classification, and distribution of sustainability-focused news from the European Commission's website.
   
   This workflow, built entirely in n8n, leverages modern AI tools (like OpenAI’s GPT models), native automation steps, and email marketing to deliver a curated sustainability news digest every morning directly to your inbox. Let’s explore how it works and what makes this automation so efficient.
   
   ⏰ Step 1: Scheduled Daily Trigger
   At 8:30 AM every day, the workflow is triggered by an n8n Schedule node. This ensures consistency and reliability. No more manually searching or waiting for alerts—the automation takes the first step.
   
   🌐 Step 2: Scraping the EU News Website
   Once triggered, the workflow sends an HTTP request to the European Commission’s news page at https://commission.europa.eu/news-and-media/news_en.
   
   It then processes the returned HTML content using two HTML extraction nodes:
   - Extract Articles Blocks: Isolates each article block.
   - Parse Article Blocks: Extracts metadata from each article, including title, date, description, link, image, type, and read time.
   
   These granular details are key to enabling the next phases of filtering and classification.
   
   🧠 Step 3: AI-Powered Sustainability Classification
   This is where the automation becomes especially intelligent. Each article is passed to an AI agent built using OpenAI’s GPT-4o-mini via a LangChain integration node.
   
   Here’s how it works:
   - The agent receives the article’s title and description.
   - It uses a custom system prompt to determine if the article clearly relates to sustainability topics such as environmental protection, renewable energy, or climate change.
   - It returns a structured JSON response: { "answer": true } or { "answer": false }
   
   The results are parsed using a Langchain Structured Output Parser and labeled in the data with a sustainability flag using a Set node.
   
   🧾 Step 4: Recording Results in Google Sheets
   After classification, each processed article is saved into a Google Sheet. This acts as a growing database, recording sustainability-focused and non-sustainability articles alike. Each record includes:
   - Type, Title, and Description
   - Date and Read Time
   - Sustainability Flag
   - Image and Link
   
   This step ensures you maintain historical data and can track sustainability news trends over time.
   
   📰 Step 5: Filtering and Email Digest Creation
   Only articles marked as sustainability-related (sustainability: true) are retrieved in the next step using a filtered Google Sheets node. Once retrieved:
   - A Code node dynamically generates a beautifully styled HTML email body using inline styles, images, and live news links.
   - The email features the current date, a welcome message, article summaries, and attribution to LogiGreen Consulting.
   
   📧 Step 6: Mailing the Sustainability Digest
   Finally, the workflow uses the Gmail node to send the HTML email to a designated mailing list. The subject line reads: “Your Sustainability News Digest from LogiGreen.” With rich formatting and curated content, this step delivers maximum impact directly to the user’s inbox.
   
   📦 APIs & Tools Used
   
   This end-to-end news automation pipeline is powered by several key third-party services:
   
   1. OpenAI GPT-4o-mini
      - Used for content classification (via LangChain’s AI Agent).
      - Ensures precise sustainability tag assignment using natural language understanding.
   
   2. Google Sheets API
      - Records article data including sustainability score.
      - Filters relevant articles for the daily email.
   
   3. Gmail API
      - Sends the final curated newsletter in HTML format to mailing list subscribers.
   
   4. European Commission News Portal
      - Public source of EU news articles to be scraped and processed.
   
   🎯 Why This Workflow Matters
   
   This n8n automation demonstrates the practical application of AI in media monitoring, sustainability reporting, and information delivery. It reduces the need for manual curation, ensures consistency, and improves the relevance of distributed content—making it an essential tool for researchers, educators, environmental consultants, and policy advocates.
   
   By combining no-code automation (n8n), AI classification (OpenAI), and cloud tools (Google Sheets and Gmail), users can turn passive news browsing into a proactive, streamlined intelligence-gathering machine.
   
   Whether you’re a green tech consultant or an environmentalist wanting to stay informed, this workflow lets you automate what matters—and skip what doesn't.
   
   —
   
   Ready to build your own? Start by installing n8n, link your OpenAI and Google credentials, and follow along with the [video tutorial](https://www.youtube.com/watch?v=q8VCAUbuat8) to scale your sustainability news efforts today.
   
   🔗 Visit LogiGreen Consulting: https://logi-green.com  
   
   —  
   AI Assistant | Powered by your data and n8n

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.