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🎦🚀 YouTube Video Comment Analysis Agent

25 nodes · executeWorkflow, httpRequest, aggregate, summarize, splitOut, manual

Engine
n8n
Nodes
25
Trigger
scheduled/triggered
Source file
1831_Splitout_Code_Automation_Webhook.json

Workflow flow

IntegrationsExecuteWorkflowHTTPAggregateSummarizeSplit OutManualGmailLmChatOpenAiMarkdownAgentGoogle DriveCode+4 more
100%
TRIGGER

When Executed by Another Workflow

ExecuteWorkflow

Get YouTube Video Comments

HTTP

TRIGGER

When clicking ‘Test workflow’

Manual

Create YouTube API URL for Comments

Code

gpt-4o-mini

@n8n/n8n-nodes-langchain.lmChatOpenAi

Workflow Variables

Set

Create YouTube API URL

Code

Get Video Comments with Pagination

Code

Get YouTube Video Details

HTTP

Split Out Comments

Split Out

Combine Comments

Summarize

Merge YouTube Details & Transcript

Merge

Create One JSON Object

Aggregate

YouTube Video Report Agent

@n8n/n8n-nodes-langchain.agent

Markdown to HTML

Markdown

Gmail Report

Gmail

Save Report to Google Drive

Google Drive

17 steps · flows top to bottom, branches left to right

Browse by integration

executeWorkflowhttpRequestaggregatesummarizesplitOutmanualgmaillmChatOpenAimarkdownagentgoogleDrive
Browse all integrations →
Download n8n JSONDownload sanitized JSONDownload flow graph

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

🎦🚀 YouTube Video Comment Analysis Agent (25-node n8n automation, executeWorkflow, httpRequest, aggregate, summarize, splitOut, manual, gmail, lmChatOpenAi) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

Built in n8n, "🎦🚀 YouTube Video Comment Analysis Agent" chains 25 nodes to move data between executeWorkflow, httpRequest, aggregate, summarize, splitOut, manual, gmail, lmChatOpenAi. 25 nodes · executeWorkflow, httpRequest, aggregate, summarize, splitOut, manual Execution begins at the scheduled/triggered trigger and flows through the 25 configured nodes. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Study how data moves from executeWorkflow to httpRequest before building your own variant.
  • Share it with your team as a documented reference for scheduled/triggered automations in the executeWorkflow stack.
  • Import "🎦🚀 YouTube Video Comment Analysis Agent" into n8n, reconnect credentials for executeWorkflow, httpRequest, aggregate, summarize, splitOut, manual, gmail, lmChatOpenAi, and run the same automation in your own workspace.
  • Use it as a starting template when wiring executeWorkflow, httpRequest, aggregate, summarize, splitOut, manual, gmail, lmChatOpenAi — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "🎦🚀 YouTube Video Comment Analysis Agent" exposes 25 configured nodes. Trigger type: scheduled/triggered. Integrations: executeWorkflow, httpRequest, aggregate, summarize, splitOut, manual, gmail, lmChatOpenAi. Set your credentials on the executeWorkflow node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "🎦🚀 YouTube Video Comment Analysis Agent" JSON into a plain-English runbook, node by node. It can flag where executeWorkflow rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for executeWorkflow, httpRequest, aggregate, summarize, splitOut, manual, gmail, lmChatOpenAi. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "🎦🚀 YouTube Video Comment Analysis Agent" — extract executeWorkflow IDs and secrets into environment variables without changing the 25-node structure.

Frequently asked questions

How do I import "🎦🚀 YouTube Video Comment Analysis Agent" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "🎦🚀 YouTube Video Comment Analysis Agent" use?
It uses: executeWorkflow, httpRequest, aggregate, summarize, splitOut, manual, gmail, lmChatOpenAi. The flow diagram above shows how each service connects across the 25 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own executeWorkflow and httpRequest credentials in n8n after import.
What trigger type does "🎦🚀 YouTube Video Comment Analysis Agent" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "🎦🚀 YouTube Video Comment Analysis Agent" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for executeWorkflow, httpRequest, aggregate, summarize, splitOut, manual, gmail, lmChatOpenAi.

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