This article provides a complete, practical walkthrough of the Linkedin Telegram 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:  
   Automating Social Media with AI: A Deep Dive into a Hacker News to LinkedIn & Twitter Content Bot
   
   Meta Description:  
   Discover how an n8n workflow intelligently scrapes GitHub posts from Hacker News and transforms them into engaging LinkedIn and Twitter content using OpenAI, complete with Airtable integration and Telegram notifications.
   
   Keywords:  
   n8n, OpenAI, Hacker News, GitHub, social media automation, LinkedIn, Twitter, Airtable, Telegram bot, web scraping, AI content creation, gpt-4o-mini, GPT social media agent, tech evangelist AI, AI workflow automation
   
   Third-Party APIs Used:
   
   - Hacker News (no official API – scraped via HTTP)
   - GitHub (visited directly)
   - OpenAI (GPT-4o-mini)
   - Airtable API
   - Twitter/X (OAuth2 API)
   - LinkedIn (OAuth2 API)
   - Telegram Bot API
   
   Article:
   
   —
   
   In today’s fast-paced digital landscape, curating and sharing developer-centric news can be as challenging as building the product itself. But what if there were a way to automate the process — from discovering trending GitHub repositories to sharing narrative-rich social media posts — all without ever opening a browser tab?
   
   That’s exactly what this powerful n8n workflow does. Aptly titled "Social Media AI Agent – Telegram," this workflow blends web scraping, AI-powered content generation, and cross-platform automation to create a smart assistant that posts relevant updates to Twitter and LinkedIn. Here’s a breakdown of how this no-code/low-code magic works.
   
   🎯 Purpose:  
   This n8n workflow automates the discovery of trending GitHub repositories from Hacker News and transforms them into concise, engaging posts tailored for Twitter and LinkedIn, leveraging OpenAI's GPT-4o-mini model to draft content in a friendly, human tone.
   
   🕸 How It Works — Step by Step:
   
   1. Crawl Hacker News Home:
   A scheduled trigger kicks off the workflow every six hours. The first node fetches the HTML content of the Hacker News homepage via HTTP Request. This is where the adventure begins.
   
   2. Extract GitHub Links:
   Using Python code and the BeautifulSoup library, the workflow parses HTML to find all posts linking to GitHub repositories. Metadata like title, URL, points, author, submission age, and number of comments is extracted and structured as JSON.
   
   3. Avoid Duplicate Posts:
   To prevent reposting the same content, the bot checks Airtable for existing post IDs using an Airtable API node. The Merge and Filter nodes intelligently determine whether a GitHub link is new or has been shared before.
   
   4. Analyze GitHub Page:
   For each new GitHub post, the workflow visits the project’s URL and captures its HTML content. This content is then converted to Markdown in preparation for AI model consumption.
   
   5. Content Generation with GPT-4o-Mini:
   Here’s where the real magic happens. A Langchain-enabled node invokes OpenAI's GPT-4o-mini with a tailored system prompt. It crafts two versions of promotional content:
      - A Twitter post (under 280 characters)
      - A more detailed LinkedIn post focusing on storytelling, relevance, and utility.
   
      The AI is instructed to avoid marketing fluff and maintain a friendly yet professional tone — think “Tech Evangelist meets Storyteller.”
   
   6. Validation & Error Handling:
   The output is validated to ensure both the Twitter and LinkedIn posts are present. Errors are caught and suppressed gracefully, thanks to a JavaScript validation node.
   
   7. Notify Before Posting:
   Before posting anything officially, a Telegram notification is sent to the workflow owner containing the generated Twitter and LinkedIn posts. This allows a five-minute opportunity for human oversight or intervention.
   
   8. Wait… then Publish:
   After the short wait, the content is auto-posted to both Twitter and LinkedIn using respective OAuth2-powered nodes.
   
   9. Update Airtable Status:
   Once posted, the workflow updates the Airtable entry to mark the posts as “done” for both platforms — ensuring accurate tracking and preventing duplicates in future runs.
   
   🧠 Why This Is Clever:
   
   This workflow isn't just automation — it’s AI-powered curation and storytelling. It marries raw data scraping with natural language generation, filters duplication, provides human preview points, and seamlessly handles cross-platform publishing.
   
   And perhaps most importantly, it ensures your profiles are always showcasing timely, relevant, and thoughtfully written technical content without the manual labor.
   
   🚀 Use Cases:
   
   - Tech bloggers who want to automate weekly GitHub product reviews.
   - Developer advocates looking to maintain an active presence on social media.
   - Startups wishing to build thought leadership by curating and sharing open-source tools.
   
   🔧 Tools That Power This Automation:
   
   - n8n: The central low-code automation platform orchestrating all steps.
   - OpenAI GPT-4o-Mini: For intelligent social post drafting.
   - Airtable: Acting as a state management database to track posted items.
   - LinkedIn API: For posting professional content.
   - Twitter/X API: For social visibility and developer engagement.
   - Telegram Bot API: For notifying the human in the loop.
   - BeautifulSoup (via Python): For HTML parsing of Hacker News content.
   
   ⚙️ Customizability:
   
   Interested in different sources than Hacker News? Swap out the source URL.
   
   Want to add Instagram or Mastodon? Just connect relevant API nodes.
   
   Need custom prompts? Tune the system message in the Langchain node to shift brand voice or tone.
   
   —
   
   Conclusion:
   
   This n8n workflow is an excellent example of how modern automation tools combined with AI can turn manual digital marketing chores into streamlined, intelligent systems. By automating everything from content discovery to publication, it brings together curated content and thoughtful messaging — without compromising quality or control.
   
   As the world of AI continues to evolve, workflows like this show us the enormous potential of blending automation with language intelligence to amplify our digital voices.
   
   — End —

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.