This article provides a complete, practical walkthrough of the Http Manual Import 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 Cross-Platform Image Posting with n8n: A Workflow for Instagram and TikTok
   
   **Meta Description:**
   Discover how to automate the upload of images to both Instagram and TikTok using n8n. This visual workflow uses HTTP requests, binary data manipulation, and seamless integration with a third-party API.
   
   **Keywords:**
   n8n workflow, Instagram automation, TikTok automation, upload images automatically, HTTP request n8n, cross-platform posting, automation tools, image upload API, content scheduling, no-code automation, multipart form-data, API integration, workflow automation
   
   **Third-Party APIs Used:**
   - Upload Post API (https://api.upload-post.com/api/upload_photos)
   - Wikimedia Commons (https://upload.wikimedia.org)
   
   ---
   
   **Article:**
   
   # Automating Cross-Platform Image Uploads with n8n: A Workflow for Instagram and TikTok
   
   If you’re looking to streamline your content creation process across multiple social media platforms, automation is your best friend. In this guide, we’ll explore a practical n8n workflow that automates the process of downloading images and posting them to both Instagram and TikTok using a common API integration pipeline.
   
   This setup not only saves time but ensures your brand or personal content maintains consistency across platforms with minimal manual effort.
   
   ---
   
   ## What is n8n?
   
   n8n (short for “node to node”) is a powerful, open-source workflow automation tool that allows you to connect different services using a visual interface. It supports hundreds of native integrations and provides extensibility through HTTP requests, custom code blocks, and its community-driven plugin ecosystem.
   
   In this tutorial, we use n8n to build an automation that:
   
   - Downloads two images
   - Renames them to match platform-specific payload requirements
   - Merges the files into a single payload
   - Posts the images to Instagram and TikTok using an HTTP POST request
   
   ---
   
   ## Workflow Overview
   
   The workflow, titled “upload-post images,” begins with a manual trigger and proceeds through a series of nodes to ultimately post two images across Instagram and TikTok using the same set of image assets.
   
   Here’s how the structure is laid out:
   
   ### 1. Manual Trigger
   
   The workflow starts with a “Manual Trigger” node titled "When clicking ‘Test workflow’", which enables you to run the workflow on-demand—useful for testing without scheduling automation.
   
   ---
   
   ### 2. Fetch the Images
   
   Two HTTP Request nodes titled “Get Image 1” and “Get Image 2” pull static images from [Wikimedia Commons](https://upload.wikimedia.org/wikipedia/commons/7/70/Example.png). This step simulates retrieving prepared content for a social media campaign.
   
   ---
   
   ### 3. Rename Binary Data
   
   Two Code nodes, “Change name to photo1” and “Change name to photo2,” operate to rename downloaded binary files' keys to photo1 and photo2 respectively. This step is critical because the upload API expects images to be sent in a multipart form-data format with specific field names.
   
   Using JavaScript inside n8n, each image item's binary data is restructured with custom keys. For example:
   
   ```javascript
   return items.map((item, index) => {
     const buffer = item.binary.data;
     return {
       json: item.json,
       binary: {
         [`photo${index + 1}`]: buffer
       }
     };
   });
   ```
   
   ---
   
   ### 4. Merge the Uploaded Images
   
   A “Merge” node followed by a “Send as 1 merged file” node consolidates the two image items into one payload. This code ensures all binary data fields are merged into a single object:
   
   ```javascript
   const mergedItem = {
     json: {},
     binary: {}
   };
   
   for (const item of items) {
     for (const [key, bin] of Object.entries(item.binary || {})) {
       mergedItem.binary[key] = bin;
     }
   }
   
   return [mergedItem];
   ```
   
   This consolidated payload is ready for upload.
   
   ---
   
   ### 5. Upload to Social Media Platforms
   
   Finally, two HTTP Request nodes handle the actual uploading process:
   
   #### a. POST TO INSTAGRAM
   
   This node sends a POST request to the Upload Post API endpoint with:
   
   - Title (`title-ig`)
   - Username (`user_name`)
   - Platform (`instagram`)
   - Images (`photo1` and `photo2`)
   - Authorization header (`Apikey api`)
   
   #### b. POST TO TIKTOK
   
   This node mirrors the Instagram node but switches the platform to `tiktok`. It reuses the exact same images and fields but targets TikTok.
   
   This demonstrates one of n8n’s best strengths: reuse and scalability. With one unified code flow, you can push the same media to multiple platforms without duplicating logic or handling data separately.
   
   ---
   
   ## Benefits of This Setup
   
   - 👨‍💻 **No-code/Low-code Development:** Easily manage workflows with drag-and-drop functionality and light scripting.
   - 🕒 **Time Saving:** Automating image uploads to different platforms in a single run.
   - 📦 **Reusable & Scalable:** The workflow allows easy modular changes, like adding more platforms or dynamic image sources.
   - 🔒 **Secure Uploads:** Handled via HTTPS and authenticated API keys to ensure safe transmission.
   
   ---
   
   ## Closing Thoughts
   
   This n8n workflow is a compact yet powerful example of how you can simplify repetitive tasks such as uploading content to multiple social media platforms. With just a few nodes and some lightweight scripting, it consolidates media management, streamlines your publishing pipeline, and saves precious time for creators and marketers alike.
   
   Whether you’re a solo content creator, a digital marketing agency, or a social media strategist, using tools like n8n can drastically enhance your productivity. Customize it further by introducing scheduling, dynamic titles, or even fetching images based on trending hashtags!
   
   ---
   
   ⚙️ Start experimenting and automate your online presence with the power of n8n today.

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.