How do I import "YouTube Video Analyzer with AI" 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 Analyzer with AI" use?

It uses: manual, lmChatOpenAi, lmChatOpenRouter, lmChatDeepSeek, outputParserStructured, emailSend, httpRequest, chainLlm. The flow diagram above shows how each service connects across the 21 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 manual and lmChatOpenAi credentials in n8n after import.

What trigger type does "YouTube Video Analyzer with AI" 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 Analyzer with AI" 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 manual, lmChatOpenAi, lmChatOpenRouter, lmChatDeepSeek, outputParserStructured, emailSend, httpRequest, chainLlm.

← Workflows

YouTube Video Analyzer with AI

21 nodes · manual, lmChatOpenAi, lmChatOpenRouter, lmChatDeepSeek, outputParserStructured, emailSend

Engine: n8n
Nodes: 21
Trigger: scheduled/triggered
Source file: 1461_Code_Manual_Automation_Webhook.json

Workflow flow

IntegrationsManualLmChatOpenAiLmChatOpenRouterLmChatDeepSeekOutputParserStructuredEmailSendHTTPChainLlmCode@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.lmChatOpenRouter@n8n/n8n-nodes-langchain.lmChatDeepSeek+4 more

100%

TRIGGER

When clicking ‘Test workflow’

Manual

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

OpenRouter Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenRouter

DeepSeek Chat Model

@n8n/n8n-nodes-langchain.lmChatDeepSeek

Structured Output Parser

@n8n/n8n-nodes-langchain.outputParserStructured

Set YouTube URL

Set

YouTube Video ID

Code

Generate transcript

HTTP

Get transcript

Set

Exist?

Get Fulltext

Code

Analyze LLM Chain

@n8n/n8n-nodes-langchain.chainLlm

Send Email

EmailSend

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

Browse by integration

manual lmChatOpenAi lmChatOpenRouter lmChatDeepSeek outputParserStructured emailSend httpRequest chainLlm

Browse all integrations →

Download n8n JSON Download sanitized JSON Download flow graph

Import into n8n

Download the n8n JSON file (full or sanitized).
In n8n: Workflows → Import from file.
Open each node and reconnect credentials to your accounts.
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

Free n8n workflow: YouTube Video Analyzer with AI. 21 nodes across manual, lmChatOpenAi, lmChatOpenRouter, lmChatDeepSeek, outputParserStructured, emailSend, httpRequest, chainLlm, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

Built in n8n, "YouTube Video Analyzer with AI" chains 21 nodes to move data between manual, lmChatOpenAi, lmChatOpenRouter, lmChatDeepSeek, outputParserStructured, emailSend, httpRequest, chainLlm. 21 nodes · manual, lmChatOpenAi, lmChatOpenRouter, lmChatDeepSeek, outputParserStructured, emailSend A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. On OpenRuna you get the visual graph, the integration list, and a downloadable JSON ready to import into n8n. 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 manual to lmChatOpenAi before building your own variant.
Share it with your team as a documented reference for scheduled/triggered automations in the manual stack.
Import "YouTube Video Analyzer with AI" into n8n, reconnect credentials for manual, lmChatOpenAi, lmChatOpenRouter, lmChatDeepSeek, outputParserStructured, emailSend, httpRequest, chainLlm, and run the same automation in your own workspace.
Use it as a starting template when wiring manual, lmChatOpenAi, lmChatOpenRouter, lmChatDeepSeek, outputParserStructured, emailSend, httpRequest, chainLlm — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "YouTube Video Analyzer with AI" exposes 21 configured nodes. Trigger type: scheduled/triggered. Integrations: manual, lmChatOpenAi, lmChatOpenRouter, lmChatDeepSeek, outputParserStructured, emailSend, httpRequest, chainLlm. Set your credentials on the manual 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 Analyzer with AI" JSON into a plain-English runbook, node by node. It can flag where manual 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 manual, lmChatOpenAi, lmChatOpenRouter, lmChatDeepSeek, outputParserStructured, emailSend, httpRequest, chainLlm. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "YouTube Video Analyzer with AI" — extract manual IDs and secrets into environment variables without changing the 21-node structure.

Frequently asked questions

How do I import "YouTube Video Analyzer with AI" 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 Analyzer with AI" use?: It uses: manual, lmChatOpenAi, lmChatOpenRouter, lmChatDeepSeek, outputParserStructured, emailSend, httpRequest, chainLlm. The flow diagram above shows how each service connects across the 21 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 manual and lmChatOpenAi credentials in n8n after import.
What trigger type does "YouTube Video Analyzer with AI" 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 Analyzer with AI" 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 manual, lmChatOpenAi, lmChatOpenRouter, lmChatDeepSeek, outputParserStructured, emailSend, httpRequest, chainLlm.