Telegram Code Create Webhook – Communication & Messaging | Complete n8n Webhook Guide (Intermediate)
This article provides a complete, practical walkthrough of the Telegram 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
- Open n8n and create a new workflow or collection.
- Choose Import from File or Paste JSON.
- Paste the JSON below, then click Import.
-
Show n8n JSON
Title: Auto-Generate Instagram Content from Top Trends Using n8n, OpenAI, and Replicate Meta Description: Discover how to fully automate Instagram content creation with n8n, leveraging trending hashtags, AI image analysis, and image generation. This workflow integrates RapidAPI, OpenAI, and Replicate to schedule, create, and post stunning visual content. Keywords: Instagram automation, n8n workflow, AI-generated content, OpenAI Instagram captions, Replicate AI, Instagram scraper API, automate Instagram posts, GPT-4 Vision, AI for social media, content creation automation, trending Instagram posts, Flux Schnell, Blender3D hashtag, isometric hashtag Third-Party APIs Used: 1. RapidAPI - Instagram Scraper API 2. OpenAI - GPT-4o for analyzing image content and generating captions 3. Replicate API - Flux Schnell model for image generation 4. Facebook Graph API - For publishing to Instagram Business accounts 5. Telegram API - For sending status updates and error messages 6. PostgreSQL - For data storage and duplicate content checking Article: Auto-Generate Instagram Content from Top Trends Using n8n, OpenAI, and Replicate In the fast-paced world of social media, maintaining a consistent and engaging Instagram presence is essential—but also time-consuming. Thanks to automation platforms like n8n and AI services like OpenAI and Replicate, you can now create compelling Instagram content entirely on autopilot. This guide explores a powerful n8n workflow designed to scrape trending Instagram posts, generate new imagery based on visual cues, craft optimized captions, and publish to your account—all while notifying you of each action via Telegram. Let’s dive into how this workflow functions and how it can help scale your creative output while reducing manual effort. 🎯 The Goal: Scalable Content Creation The core objective is to create a system that: - Regularly scrapes trending Instagram posts using specific hashtags (e.g., #blender3d, #isometric) - Filters out videos to focus on static visual content - Ensures unique content by checking against previously used posts - Analyzes selected images to generate meaningful object descriptions - Uses AI to turn descriptions into engaging captions - Generates fresh 3D-looking images using descriptive prompts - Publishes media to Instagram automatically - Sends success/failure updates to a Telegram chat - Runs reliably on a pre-defined schedule Let’s break down how each of these steps works under the hood. 🔄 1. Scheduled Execution The workflow begins with a Schedule Trigger set to run twice daily (at 13:05 and 19:05). This ensures that the bot continually pulls in the latest top-trending posts from two hashtags—#blender3d and #isometric—using the Instagram Scraper API from RapidAPI. 📥 2. Scrape and Filter Trending Posts Using HTTP request nodes, the workflow calls the Instagram Scraper API and filters only static image posts (excluding videos). It maps metadata such as caption text, thumbnail URLs, Instagram post codes, and hashtags for use in later steps. 🧠 3. Avoiding Duplicate Content Before doing anything further, the system checks a PostgreSQL database named top_trends. Each Instagram post’s unique content code is cross-referenced to avoid reposting or duplicating content already processed. If the content already exists, the bot loops to find another. ✍️ 4. Analyze the Image Using OpenAI Once a unique image is selected, the workflow uses OpenAI’s GPT-4o–Mini (vision model) to analyze the image’s visual features—size, texture, notable elements—excluding background details. This output serves as a high-quality description of the object in the image. 🧾 5. Generate Instagram Captions from AI Insight The next node engages ChatGPT via OpenAI again to transform the object description into a concise Instagram caption (under 150 words). The prompt ensures the output is engaging, Instagram-friendly, and embedded with relevant hashtags like #3DArt, #DigitalArt, and #Blender3D. 🎨 6. Create a New Image Inspired by the Trend With the visual description applied, another HTTP request is sent to the Replicate API, using the Flux Schnell model to generate a new high-resolution, stylized 3D image. The prompt passes detailed rendering specifications, ensuring the output is toy-like, beautifully lit, and ideal for Instagram. 📲 7. Prepare and Publish to Instagram The generated image URL and caption are then sent to the Facebook Graph API, prepped for publishing through an Instagram Business account. The system tracks the upload and publishing status, ensuring that media transitions from “FINISHED” to “PUBLISHED” seamlessly. 📢 8. Notify via Telegram Whether the upload and posting process succeeds or fails, Telegram API notifications are triggered accordingly. Users receive messages like “Instagram Content is shared” or “There was a problem uploading the content,” offering real-time oversight. 🗃 9. Store Processed Content in the Database Once a post is complete, metadata is inserted into the database for archival and duplicate avoidance purposes, including prompt text, content code, and thumbnail URL. 💎 Why This Workflow Matters This level of automation unlocks a new workflow paradigm for content creators, marketing teams, and solo creatives. With this system, you: - Save hours of manual research and creative generation - Ensure your content reflects current trends - Maintain a steady presence on Instagram without burnout - Get real-time alerts and fail-safes built-in And importantly, the entire process is modular and scalable. You can change the hashtags, adjust caption prompt tones, or even switch to different AI models with ease. 🧰 Setup Requirements To use this workflow, you’ll need: - Instagram Business Account credentials (via Facebook Graph API) - OpenAI account (for GPT-4 Vision) - Replicate account with Flux Schnell model access - RapidAPI subscription for the Instagram Scraper API - Telegram Bot and chat ID for notifications - PostgreSQL database with a table named top_trends 📌 Final Thoughts This n8n-based automation unlocks powerful capabilities for hands-free social content creation. The result? Professional-grade, trend-informed Instagram posts that not only drive engagement but also showcase the seamless power of AI and automation. Whether you’re a digital artist, a brand, or a social media manager, this workflow is your blueprint to higher productivity and creative freedom. Ready to bring AI-powered consistency to your Instagram strategy? This is the workflow for you. — End of Article —
- Set credentials for each API node (keys, OAuth) in Credentials.
- Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
- 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.