This article provides a complete, practical walkthrough of the Http Schedule 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:
   Automate Daily AI News Summaries in Chinese with GPT-4 and Telegram Using n8n
   
   Meta Description:
   Learn how to automate the collection, translation, summarization, and Telegram delivery of AI news headlines using n8n, GPT-4.1, NewsAPI, GNews, and Telegram Bot. Stay informed every morning—automatically.
   
   Keywords:
   n8n workflow, GPT-4 automation, AI news summary, Telegram bot news delivery, GNews API, NewsAPI integration, multilingual news, AI summarizer, Chinese translation, GPT-4.1 Telegram bot, automation for tech news
   
   —
   
   Automate Daily AI News in Chinese with GPT-4 and Telegram Using n8n
   
   In today’s fast-paced digital landscape, staying up-to-date on the latest artificial intelligence (AI) developments can feel like chasing a moving target. But what if you could automate the entire process of gathering, translating, summarizing—and even delivering—AI news directly to your Telegram chat every morning at 8 AM?
   
   That’s exactly what this powerful n8n workflow does.
   
   Built with modularity and customization in mind, the “Daily AI News Translation & Summary with GPT-4 and Telegram Delivery” workflow scrapes top AI-related headlines from two well-established news APIs, processes the content via OpenAI’s latest GPT-4.1 model, translates it seamlessly into Traditional Chinese, and sends a tailored summary to your Telegram group, channel, or individual chat—no manual effort required.
   
   Let’s break down how it works and how you can implement your own version.
   
   Step 1: Reliable News Gathering from Multiple Sources
   
   The workflow kicks off every day at 8 AM using n8n’s built-in Schedule Trigger node. It initiates two HTTP request nodes configured to call:
   
   - NewsAPI.org (https://newsapi.org),
   - GNews.io (https://gnews.io),
   
   Both services are queried for recent English-language news articles on the topic of “AI”. Up to 20 results from each service are retrieved and standardized using Set nodes, which reshape the JSON output into a clean “articles” property for consistent downstream processing.
   
   Step 2: Data Merging for Comprehensive Coverage
   
   The results from both NewsAPI and GNews are merged using a Merge node, giving a combined pool of up to 40 fresh, AI-focused news articles per day. This ensures diversity in sources, perspective, and coverage—enriching the user experience.
   
   Step 3: GPT-4-Powered Summarization and Translation
   
   This is where things get truly intelligent.
   
   With the help of OpenAI's GPT-4.1 model accessed through n8n’s @n8n/n8n-nodes-langchain.lmChatOpenAi node, an AI summarizer agent is activated via a LangChain Agent node. The custom prompt within this node instructs GPT-4 to:
   
   - Choose the top 15 most relevant AI news articles,
   - Translate them into precise Traditional Chinese—with care to preserve commonly used technical English terms,
   - List each translated summary with its original article link,
   - Prepend the message with a friendly “Good morning” greeting and the current date.
   
   This tailored GPT-driven summarizer makes the content both cognitively digestible and culturally appropriate for a Chinese-speaking tech audience.
   
   Step 4: Instant Telegram Delivery
   
   The output, now a polished and localized summary of global AI news, is dispatched to Telegram using the “Send summary to Telegram” node. Users simply need to provide their Telegram Bot Token and Chat ID, and the automation takes care of the rest.
   
   Whether it’s a personal reminder or a daily post in a community channel, the message lands on time every morning—professionally written and ready to read.
   
   Workflow Customization Options
   
   What’s impressive about this workflow isn’t just how well it works, but how easily it adapts to alternate use cases:
   
   - Want to track Blockchain instead of AI? Modify the keyword in the news source nodes.
   - Prefer Spanish or Simplified Chinese? Adjust the GPT prompt for language localization.
   - Need a different time for delivery? Modify the cron settings on the schedule node.
   
   With a few tweaks, this template becomes a multi-purpose, content-driven automation tool.
   
   Third-Party APIs and Services Used
   
   This workflow leverages the following third-party services:
   
   1. NewsAPI (https://newsapi.org) — for fetching English-language AI news articles.
   2. GNews API (https://gnews.io) — additional news scraping for broader coverage.
   3. OpenAI API (https://openai.com) — used to access the GPT-4.1 model for summarization and translation.
   4. Telegram Bot API (https://core.telegram.org/bots/api) — for message delivery through a Telegram bot.
   
   Final Thoughts
   
   By combining the powers of n8n’s no-code automation engine, GPT-4’s linguistic reliability, and the reach of Telegram, this workflow creates a seamless and intelligent news digest system. It brings together data aggregation, AI summarization, and instant messaging into one coherent automation solution—tailored for AI enthusiasts, professionals, and communities alike.
   
   Whether you’re tracking AI developments for research, business decisions, or personal curiosity, automating your news flow has never been easier—or more futuristic.
   
   Better yet, it's fully customizable. With a few API keys and configuration steps, you can deploy your very own AI news assistant in just a few minutes.
   
   Welcome to the new era of automated content intelligence.

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.