This article provides a complete, practical walkthrough of the Code Manual Update Triggered 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:
   
   Automate YouTube Video Description Updates with n8n: Insert Text Between Specific Lines
   
   Meta Description:
   
   Learn how to automate updates to your YouTube video descriptions using n8n. This workflow inserts rows of text or links between specific lines—perfect for bulk description editing across your channel.
   
   Keywords:
   
   n8n workflow, YouTube automation, update video descriptions, bulk edit YouTube descriptions, automate YouTube metadata, insert link in YouTube description, n8n tutorial, YouTube API, no-code automation, YouTube content management
   
   List of Third-party APIs Used:
   
   - YouTube Data API v3
   
   Short Article (Approx. 800 words):
   
   How to Automatically Insert Text into YouTube Video Descriptions with n8n
   
   Managing a YouTube channel isn’t just about creating content—you also need to maintain the quality and consistency of your video metadata. For creators who frequently update their video descriptions to reflect new links, social media handles, or promotional content, manually editing each description can be extremely time-consuming.
   
   Fortunately, if you're using n8n—a powerful no-code/low-code automation tool—you can automate this task. In this article, we break down a custom n8n workflow that automatically inserts a new line of text (such as a URL) between two specific lines in the descriptions of your latest YouTube videos.
   
   Let’s look at how this automation works, what it does, and how you can configure it to meet your own needs.
   
   What This Workflow Does
   
   The n8n workflow titled “Automatically Update YouTube Video Descriptions with Inserted Text” is designed to:
   
   - Automatically fetch the latest three videos from your YouTube channel
   - Retrieve existing descriptions for each video
   - Locate a set of predefined lines in the description (rowBefore and rowAfter)
   - Insert a new line of text (rowToInsert) between them
   - Update the description while preserving all other metadata
   
   This allows you to bulk edit YouTube video descriptions with precision and consistency—all without writing code manually or editing videos one by one.
   
   Ideal Use Cases
   
   This workflow is perfect for:
   
   - Adding new promotional links between existing affiliate links
   - Inserting CTAs (call-to-actions) like “Subscribe here” between standard description sections
   - Updating featured playlists or new video links across your entire library
   - Maintaining stylistic consistency between older and newer videos
   
   How It Works: A Step-by-Step Breakdown
   
   1. Manual Trigger to Start the Workflow
   
   The process begins with a Manual Trigger node (“When Clicking ‘Test Workflow’”), allowing you to run the automation during testing or setup.
   
   2. Define the Text to Be Inserted
   
   The “Set String to Insert” node allows you to configure three essential variables:
   
   - rowBefore: The line after which the new line will be inserted
   - rowToInsert: The text or URL you want to insert
   - rowAfter: The line before which the new line must appear
   
   These lines act as anchors. The workflow will search for these lines in your video descriptions to determine the appropriate insertion point.
   
   3. Fetch the Latest YouTube Videos
   
   The “Get All Videos” node pulls your three most recent YouTube videos using the YouTube Data API v3. You can modify this to fetch a different number or target specific videos using filters.
   
   4. Loop Through Each Video
   
   Using a “Split In Batches” node named “Loop Over Videos,” the automation iterates over each fetched video to process them individually.
   
   5. Get Full Information for Each Video
   
   The “Get Specific Video” node then retrieves the detailed data of each video, including the full description text, using the video ID.
   
   6. Modify the Description
   
   This is where the magic happens. A JavaScript Code node titled “Create New Video Description with Row Inserted”:
   
   - Splits the existing description into separate lines
   - Identifies the positions of rowBefore and rowAfter
   - Inserts the new rowToInsert between these two lines (only if both lines are found in the correct order)
   - Reconstructs the modified description
   
   7. Update the Video on YouTube
   
   Finally, the “Update Video Description” node uses the YouTube Data API to apply the changes. It retains all existing metadata such as video title, tags, and category ID while only modifying the description.
   
   Easy Configuration and Customization
   
   This workflow is built for easy customization:
   
   - Change the rowBefore, rowToInsert, and rowAfter strings in the “Set” node to suit your needs
   - Adjust the number of videos fetched by modifying the limit parameter in the “Get All Videos” node
   - Schedule the workflow with a Cron node if you want it to run periodically instead of manually
   
   Why Use This Workflow?
   
   ✅ Saves time on repetitive description editing  
   ✅ Prevents human error in formatting across videos  
   ✅ Great for managing large content libraries  
   ✅ Easily updatable for new purposes or campaigns
   
   A Word of Caution
   
   Currently, this workflow only updates three videos at a time (as defined by the "limit" parameter). You should test thoroughly and scale only after confirming that it performs as expected on a sample batch.
   
   Final Thoughts
   
   This n8n workflow is a smart and scalable solution for YouTube creators needing to manage and update their video descriptions efficiently. By leveraging the YouTube Data API and n8n’s automation capabilities, you can streamline content management tasks that would otherwise take hours.
   
   Whether you're an individual YouTuber, content manager, or digital marketer, integrating such intelligent workflows into your toolkit can significantly enhance content consistency and channel professionalism—with minimal manual effort.
   
   Try this workflow yourself and keep your channel tidy and up-to-date, automatically.
   
   Let automation do your heavy lifting—one description at a time.

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.