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0472_Aggregate_Gmail_Create_Triggered

19 nodes · gmail, chainLlm, lmChatOpenAi, outputParserStructured, splitOut, aggregate

Engine
n8n
Nodes
19
Trigger
scheduled/triggered
Source file
0472_Aggregate_Gmail_Create_Triggered.json

Workflow flow

IntegrationsGmailChainLlmLmChatOpenAiOutputParserStructuredSplit OutAggregate@n8n/n8n-nodes-langchain.chainLlm@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.outputParserStructuredSetMerge
100%
TRIGGER

Gmail trigger

Gmail

OpenAI Chat

@n8n/n8n-nodes-langchain.lmChatOpenAi

JSON Parser

@n8n/n8n-nodes-langchain.outputParserStructured

Get message content

Gmail

Assign labels for message

@n8n/n8n-nodes-langchain.chainLlm

Set label values

Set

Get all labels

Gmail

Split out assigned labels

Split Out

Merge corresponding labels

Merge

Aggregate label IDs

Aggregate

Add labels to message

Gmail

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

Browse by integration

gmailchainLlmlmChatOpenAioutputParserStructuredsplitOutaggregate
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

Free n8n workflow: 0472_Aggregate_Gmail_Create_Triggered. 19 nodes across gmail, chainLlm, lmChatOpenAi, outputParserStructured, splitOut, aggregate, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

"0472_Aggregate_Gmail_Create_Triggered" automates a gmail-to-chainLlm flow in n8n across 19 nodes. 19 nodes · gmail, chainLlm, lmChatOpenAi, outputParserStructured, splitOut, aggregate It starts from a scheduled/triggered trigger and routes data through every node in order. 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 gmail integration to spot missing steps or redundant nodes.
  • Fork it to add error handling, retries, or a notification step without designing the 19-node flow from scratch.
  • Share it with your team as a documented reference for scheduled/triggered automations in the gmail stack.
  • Study how data moves from gmail to chainLlm before building your own variant.

Example output

Imported into n8n, "0472_Aggregate_Gmail_Create_Triggered" exposes 19 configured nodes. Trigger type: scheduled/triggered. Integrations: gmail, chainLlm, lmChatOpenAi, outputParserStructured, splitOut, aggregate. Open each node after import to map credentials to your own gmail and chainLlm 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 "0472_Aggregate_Gmail_Create_Triggered" into Claude and ask it to explain each of the 19 nodes. Claude is good at suggesting credential mappings for gmail, chainLlm, lmChatOpenAi, outputParserStructured, splitOut, aggregate, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "0472_Aggregate_Gmail_Create_Triggered" to your accounts — which gmail, chainLlm, lmChatOpenAi, outputParserStructured, splitOut, aggregate 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 19 nodes.

Frequently asked questions

How do I import "0472_Aggregate_Gmail_Create_Triggered" 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 "0472_Aggregate_Gmail_Create_Triggered" use?
It uses: gmail, chainLlm, lmChatOpenAi, outputParserStructured, splitOut, aggregate. The flow diagram above shows how each service connects across the 19 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 gmail and chainLlm credentials in n8n after import.
What trigger type does "0472_Aggregate_Gmail_Create_Triggered" 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 "0472_Aggregate_Gmail_Create_Triggered" 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 gmail, chainLlm, lmChatOpenAi, outputParserStructured, splitOut, aggregate.

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