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YouTube Comment Sentiment Analyzer

16 nodes · splitOut, lmChatOpenAi, googleSheets, httpRequest, sentimentAnalysis, manual

Engine
n8n
Nodes
16
Trigger
scheduled/triggered
Source file
2016_Splitout_Noop_Automation_Webhook.json

Workflow flow

IntegrationsSplit OutLmChatOpenAiGoogle SheetsHTTPSentimentAnalysisManual@n8n/n8n-nodes-langchain.lmChatOpenAiNoOpIF@n8n/n8n-nodes-langchain.sentimentAnalysisSet
100%

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

TRIGGER

When clicking ‘Test workflow’

Manual

Get Video Urls from Google Sheet

Google Sheets

check next fetch time is available or not

IF

check next fetch time is before the current time

IF

No Operation, do nothing

NoOp

Get Comments for video urls

HTTP

Check Success Response

IF

Split Out

Split Out

No Operation, do nothing1

NoOp

Analyze sentiment of every comment

@n8n/n8n-nodes-langchain.sentimentAnalysis

Format fields as required to save in google sheet

Set

Insert and update comment in google sheet

Google Sheets

Update last fetched time and next_fetch_time

Google Sheets

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

Browse by integration

splitOutlmChatOpenAigoogleSheetshttpRequestsentimentAnalysismanual
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 Comment Sentiment Analyzer is a free n8n workflow on OpenRuna — 16 nodes connecting splitOut, lmChatOpenAi, googleSheets, httpRequest, sentimentAnalysis, manual. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

This n8n workflow, "YouTube Comment Sentiment Analyzer", wires together splitOut, lmChatOpenAi, googleSheets, httpRequest, sentimentAnalysis, manual in 16 nodes. 16 nodes · splitOut, lmChatOpenAi, googleSheets, httpRequest, sentimentAnalysis, manual Execution begins at the scheduled/triggered trigger and flows through the 16 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

  • Fork it to add error handling, retries, or a notification step without designing the 16-node flow from scratch.
  • Benchmark it against your current splitOut integration to spot missing steps or redundant nodes.
  • Import "YouTube Comment Sentiment Analyzer" into n8n, reconnect credentials for splitOut, lmChatOpenAi, googleSheets, httpRequest, sentimentAnalysis, manual, and run the same automation in your own workspace.
  • Use it as a starting template when wiring splitOut, lmChatOpenAi, googleSheets, httpRequest, sentimentAnalysis, manual — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "YouTube Comment Sentiment Analyzer" exposes 16 configured nodes. Trigger type: scheduled/triggered. Integrations: splitOut, lmChatOpenAi, googleSheets, httpRequest, sentimentAnalysis, manual. Set your credentials on the splitOut 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 Comment Sentiment Analyzer" JSON into a plain-English runbook, node by node. It can flag where splitOut 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 splitOut, lmChatOpenAi, googleSheets, httpRequest, sentimentAnalysis, manual. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "YouTube Comment Sentiment Analyzer" — extract splitOut IDs and secrets into environment variables without changing the 16-node structure.

Frequently asked questions

How do I import "YouTube Comment Sentiment Analyzer" 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 Comment Sentiment Analyzer" use?
It uses: splitOut, lmChatOpenAi, googleSheets, httpRequest, sentimentAnalysis, manual. The flow diagram above shows how each service connects across the 16 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 splitOut and lmChatOpenAi credentials in n8n after import.
What trigger type does "YouTube Comment Sentiment Analyzer" 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 Comment Sentiment Analyzer" 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 splitOut, lmChatOpenAi, googleSheets, httpRequest, sentimentAnalysis, manual.

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