This article provides a complete, practical walkthrough of the Linkedin Telegram Automate 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 LinkedIn Content with n8n: Post Medium Articles with Zero Manual Work
   
   Meta Description:
   Learn how to use n8n to automatically fetch, filter, and post Medium articles to LinkedIn, complete with Airtable tracking and Telegram notifications, twice a day — all hands-free automation.
   
   Keywords:
   n8n LinkedIn automation, Medium articles auto-post, Airtable API automation, Telegram notifications, LinkedIn auto poster, Medium to LinkedIn workflow, n8n workflow example, no-code content automation, LinkedIn scheduler tool, automation for developers
   
   Third-party APIs Used:
   
   - Medium API via RapidAPI (medium2.p.rapidapi.com)
   - Airtable API
   - LinkedIn API via LinkedIn OAuth2
   - Telegram Bot API
   
   Article:
   
   Boost Your LinkedIn Presence Automatically with n8n: A Workflow to Post Medium Articles
   
   Maintaining a consistent presence on LinkedIn is crucial for building your professional brand, especially if you're sharing technical insights, development tips, or content from your blog. But manually curating and posting content every day can be time-consuming — and, let’s face it, repetitive.
   
   What if you could automate the entire process?
   
   With the power of n8n—an open-source workflow automation tool—you can now post relevant Medium articles to LinkedIn on a set schedule, track which posts have already been published using Airtable, and receive real-time notifications via Telegram.
   
   Let’s break down how this workflow works and why it can save developers, marketers, and indie creators precious time and effort.
   
   🧠 What This n8n Workflow Does
   
   This workflow, titled "Linkedin Automation", performs the following tasks every day, twice a day:
   
   - Selects a random topic tag related to Android development
   - Fetches the latest articles from Medium tagged with that topic
   - Filters out articles that have already been posted
   - Fetches the content and image from a selected Medium article
   - Posts a snippet of the content to LinkedIn automatically
   - Stores that post’s ID in Airtable to prevent duplicate posting
   - Sends a success message to a Telegram chat
   
   All of this without any manual intervention.
   
   📅 Scheduled Execution
   
   The automation is triggered using an n8n Schedule Trigger node, configured to run every day at 9:00 AM and 7:00 PM IST. This ensures regular content posting without spammy overposting — just enough to keep your followers engaged.
   
   🎯 Intelligent Tag Selection
   
   A Code node named “get random tags” picks one tag at random from a predefined list like "android", "kotlin", “jetpack-compose”, etc. This simulates diverse topical coverage, keeping your posts from getting stale.
   
   📚 Integration with Medium
   
   Using RapidAPI’s Medium2 API, the workflow performs two key API calls:
   
   1. Fetches articles using the selected tag.
   2. Pulls detailed content and metadata (title, image, etc.) for one random article that hasn’t been posted before.
   
   This ensures that your LinkedIn followers always see fresh, relevant content.
   
   🧼 Airtable as a Deduplication Layer
   
   To avoid reposting the same article, the workflow checks against an Airtable base named "Linkdin", specifically a table called "Used Articles".
   
   - A list of “used” article IDs is retrieved.
   - The workflow compares these with the fetched Medium articles.
   - Only unused articles move forward to the posting step.
   
   Once a post is successfully published, its ID is stored back into the same Airtable table as a record, effectively updating the system on what’s already been done. It's a smart and lightweight database solution that plays a crucial part in this automation.
   
   📸 Image Download & Post Formatting
   
   If a preview image is available (checked via an If node), it is downloaded using an HTTP Request node. That image is then embedded as part of the LinkedIn post via the LinkedIn API, using OAuth2 for secure integration.
   
   The post content is trimmed to 600 characters, enough for a short and engaging preview. The post ends with the full article URL passed through Freedium, a service that removes Medium’s paywall for easier access, along with several popular developer hashtags like:
   
   - #AndroidDevelopment
   - #AppDevelopment
   - #Programming
   - #DeveloperLife
   - #Kotlin
   - #Mr4rogrammer
   - #isharewhatilearn
   
   📩 Telegram for Instant Notification
   
   After each successful LinkedIn post, a Telegram message is sent to a specified chat using the Telegram Bot API. The message includes:
   
   - A confirmation that the post was sent
   - The post’s title for clarity
   - The Airtable record ID for tracking
   
   This provides real-time feedback and an audit trail, helpful for monitoring the status of your automation.
   
   ⚙️ Customization & Modularity
   
   One of the best aspects of using n8n is its flexibility:
   
   - You can change the schedule (e.g., twice a week instead of twice a day)
   - Modify the list of tags to match your niche (web development, DevOps, design, etc.)
   - Use a Notion or Google Sheets database instead of Airtable
   - Send emails instead of Telegram notifications
   
   n8n’s modular, transparent structure means non-engineers with some technical comfort can tweak and expand it.
   
   🚀 Final Thoughts
   
   This n8n workflow beautifully demonstrates how professional content sharing can be entirely automated while maintaining quality, relevance, and engagement tracking.
   
   By integrating Medium, Airtable, LinkedIn, and Telegram, you create a miniature content engine that runs quietly in the background, projecting your digital presence while you work, code, or sleep.
   
   Whether you're a developer looking to boost your personal brand or a content marketer managing tech posts, this setup might be the edge you've been looking for in a world of content overload.
   
   Plug it in, customize it, and let it do the heavy lifting — your LinkedIn audience will thank you.
   
   — Written by Your Friendly AI Assistant 👩‍💻🤖
   
   Interested in setting this up for yourself? Check out n8n (https://n8n.io) and start building workflows that work for you.

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.