This article provides a complete, practical walkthrough of the Error Telegram Automation 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:
   Automated Video Publishing: From Google Drive to TikTok, Instagram, and YouTube Using n8n
   
   Meta Description:
   Discover how a no-code n8n workflow seamlessly automates video uploads from Google Drive to TikTok, Instagram, and YouTube with AI-generated descriptions using OpenAI and Upload-Post.com.
   
   Keywords:
   n8n automation, Google Drive to TikTok, Instagram automation, upload to YouTube, AI social media content, OpenAI GPT-4o, automatic video description, upload-post.com API, video marketing workflow, social media AI automation
   
   Third-Party APIs Used:
   
   1. Google Drive API (via n8n)
   2. OpenAI API (GPT-4o model)
   3. Upload-Post.com API
   4. Telegram Bot API (for error notifications)
   
   Article:
   
   Automating Social Media Video Publishing: From Google Drive to TikTok, Instagram, and YouTube
   
   In the age of short-form video dominance, content creators and marketers are constantly looking for ways to streamline their content publishing pipeline. What if you could automatically upload a video to a Google Drive folder and have it distributed to TikTok, Instagram, and YouTube—complete with engaging, AI-generated descriptions? Thanks to the powerful no-code automation platform n8n and a few strategic API integrations, this dream scenario is now a reality.
   
   In this article, we break down an advanced n8n workflow designed to simplify and automate the content publishing process from start to finish.
   
   Overview: What This Workflow Does
   
   This n8n automation kicks in the moment a video file is added to a specific Google Drive folder. The workflow proceeds with the following steps:
   
   1. Detects the new file using Google Drive Trigger.
   2. Downloads and processes the video file.
   3. Extracts audio from the video using OpenAI’s Whisper API.
   4. Generates a social media-optimized description using OpenAI GPT-4o.
   5. Uploads the video and AI-generated description to:
      - TikTok
      - Instagram
      - YouTube
   6. Sends error alerts to a Telegram channel if the upload process fails.
   
   Let’s explore each part of this automation in more detail.
   
   Step 1: Google Drive as the Content Hub
   
   The entry point for this workflow is a "Google Drive Trigger" node. It monitors a specific folder (e.g., “InfluencersDe”) for new file creations. The workflow polls the folder every minute, ensuring timely processing of new content.
   
   Once a file is detected, the "Google Drive" node downloads the video, and the file is renamed and prepared for further processing using the "Write Binary File" node.
   
   Step 2: AI-Powered Audio Transcription
   
   To create an effective description, the video’s audio needs to be analyzed. This is where OpenAI comes into play. The "Get Audio from Video" node, powered by OpenAI’s Whisper, transcribes the speech content from the file.
   
   This transcription is crucial for the next step: generating a relevant and engaging social media caption.
   
   Step 3: Generating the Perfect Caption with GPT-4o
   
   Using the textual content extracted from the audio, the OpenAI GPT-4o model formulates a platform-optimized description. A well-constructed system prompt ensures the model stays on-task: it’s told to act as a social media assistant focused on creating high-performing video captions.
   
   GPT-4o enriches the description with hashtags, hooks, and marketing language suitable for TikTok, Instagram, and even YouTube.
   
   Example generated caption:
   "Don't miss InfluencersDe, the tool that transforms your marketing strategy with just one click! #ugc #ai #tiktok #digitalmarketing #branding"
   
   Step 4: Multi-Platform Upload with Upload-Post.com API
   
   After preprocessing, the video is distributed to different platforms using Upload-Post.com’s unified API.
   
   Each platform has a dedicated HTTP Request node in n8n:
   - One for TikTok,
   - One for Instagram,
   - One for YouTube.
   
   These requests are pre-configured to send the video file and the AI-generated title as a "multipart-form-data" payload. The user must generate an API key at Upload-Post.com beforehand and configure this token into the HTTP headers via n8n credentials.
   
   A small difference exists in the YouTube upload flow—titles are limited to 70 characters and truncated accordingly.
   
   Step 5: Error Handling via Telegram
   
   Robust workflows must consider exceptions. This automation handles errors gracefully using an “Error Trigger” node. If something goes wrong (like network failures, video encoding issues, or API limits), a conditional “If” node determines if the error is significant.
   
   If the issue is not due to known benign causes (like DNS failures), then a Telegram bot sends an alert message (“🔔 ERROR SUBIENDO VIDEOS”) to notify admins in real-time.
   
   System Requirements
   
   To get started with this automation, users need the following:
   
   - Google Drive account, to serve as the media hub.
   - OpenAI API key, for transcription and caption generation.
   - Upload-Post.com account, to gain API access tokens for video uploads.
   - Telegram Bot API, if error messages are needed.
   
   Customization Tips
   
   This powerful workflow can be tailored for unique brand needs. For example:
   - The OpenAI prompt can be modified to reflect different niches (e.g. beauty, fitness, travel).
   - The Google Drive folder structure can be expanded to sort videos by topics or creators.
   - Additional social media platforms could be supported by extending the Upload-Post.com scope or integrating alternatives via HTTP nodes.
   
   Conclusion
   
   This n8n workflow empowers marketers, influencers, and entrepreneurs to automate a typically tedious process: uploading and promoting videos across multiple social media platforms. By leveraging AI tools like OpenAI and service APIs like Upload-Post.com, the content distribution cycle is significantly reduced—allowing more time for strategy and creativity.
   
   The fusion of n8n’s visual programming power with cutting-edge AI transforms how digital content gets published and shared online.
   
   If you’re looking to scale your content marketing game without hiring a team, this automation blueprint might just be the tool you’ve been waiting for.

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.