How do I import "youtube chapter generator" 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 chapter generator" use?

It uses: manual, httpRequest, extractFromFile, outputParserStructured, youTube, lmChatGoogleGemini, chainLlm. The flow diagram above shows how each service connects across the 13 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 httpRequest credentials in n8n after import.

What trigger type does "youtube chapter generator" 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 chapter generator" 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, httpRequest, extractFromFile, outputParserStructured, youTube, lmChatGoogleGemini, chainLlm.

← Workflows

youtube chapter generator

13 nodes · manual, httpRequest, extractFromFile, outputParserStructured, youTube, lmChatGoogleGemini

Engine: n8n
Nodes: 13
Trigger: scheduled/triggered
Source file: 1641_Extractfromfile_Manual_Automation_Webhook.json

Workflow flow

IntegrationsManualHTTPExtractFromFileOutputParserStructured

YouTubeLmChatGoogleGeminiChainLlm@n8n/n8n-nodes-langchain.outputParserStructured@n8n/n8n-nodes-langchain.lmChatGoogleGeminiSet@n8n/n8n-nodes-langchain.chainLlm

100%

TRIGGER

When clicking ‘Test workflow’

Manual

Structured Captions

@n8n/n8n-nodes-langchain.outputParserStructured

Google Gemini Chat Model

@n8n/n8n-nodes-langchain.lmChatGoogleGemini

Set Video ID

Set

Get Video Meta Data

YouTube

Get Caption ID

HTTP

Get Captions

HTTP

Extract Captions

ExtractFromFile

Tag Chapters in Description

@n8n/n8n-nodes-langchain.chainLlm

Update Chapters

YouTube

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

Browse by integration

manual httpRequest extractFromFile outputParserStructured youTube lmChatGoogleGemini chainLlm

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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

youtube chapter generator is a free n8n workflow on OpenRuna — 13 nodes connecting manual, httpRequest, extractFromFile, outputParserStructured, youTube, lmChatGoogleGemini, chainLlm. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

"youtube chapter generator" is an n8n automation built from 13 nodes spanning manual, httpRequest, extractFromFile, outputParserStructured, youTube, lmChatGoogleGemini, chainLlm. 13 nodes · manual, httpRequest, extractFromFile, outputParserStructured, youTube, lmChatGoogleGemini A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. 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

Benchmark it against your current manual integration to spot missing steps or redundant nodes.
Fork it to add error handling, retries, or a notification step without designing the 13-node flow from scratch.
Use it as a starting template when wiring manual, httpRequest, extractFromFile, outputParserStructured, youTube, lmChatGoogleGemini, chainLlm — adjust node parameters to your accounts and record IDs.
Import "youtube chapter generator" into n8n, reconnect credentials for manual, httpRequest, extractFromFile, outputParserStructured, youTube, lmChatGoogleGemini, chainLlm, and run the same automation in your own workspace.

Example output

Imported into n8n, "youtube chapter generator" exposes 13 configured nodes. Trigger type: scheduled/triggered. Integrations: manual, httpRequest, extractFromFile, outputParserStructured, youTube, lmChatGoogleGemini, chainLlm. Open each node after import to map credentials to your own manual and httpRequest accounts. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Paste the exported JSON for "youtube chapter generator" into Claude and ask it to explain each of the 13 nodes. Claude is good at suggesting credential mappings for manual, httpRequest, extractFromFile, outputParserStructured, youTube, lmChatGoogleGemini, chainLlm, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "youtube chapter generator" to your accounts — which manual, httpRequest, extractFromFile, outputParserStructured, youTube, lmChatGoogleGemini, chainLlm credentials to create and which node parameters to change first.

Cursor

Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 13 nodes.

Frequently asked questions

How do I import "youtube chapter generator" 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 chapter generator" use?: It uses: manual, httpRequest, extractFromFile, outputParserStructured, youTube, lmChatGoogleGemini, chainLlm. The flow diagram above shows how each service connects across the 13 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 httpRequest credentials in n8n after import.
What trigger type does "youtube chapter generator" 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 chapter generator" 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, httpRequest, extractFromFile, outputParserStructured, youTube, lmChatGoogleGemini, chainLlm.