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mails2notion V2

38 nodes · lmChatOpenAi, toolCalculator, outputParserStructured, gmail, filter, airtable

Engine
n8n
Nodes
38
Trigger
scheduled/triggered
Source file
0777_Code_Filter_Automation_Webhook.json

Workflow flow

IntegrationsLmChatOpenAiToolCalculatorOutputParserStructuredGmailFilterAirtableHTTPManualAgent@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.toolCalculator@n8n/n8n-nodes-langchain.outputParserStructured+4 more
100%

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Calculator

@n8n/n8n-nodes-langchain.toolCalculator

Structured Output Parser

@n8n/n8n-nodes-langchain.outputParserStructured

TRIGGER

Gmail Trigger

Gmail

TRIGGER

When clicking ‘Test workflow’

Manual

Structured Output Parser1

@n8n/n8n-nodes-langchain.outputParserStructured

Calculator1

@n8n/n8n-nodes-langchain.toolCalculator

OpenAI Chat Model1

@n8n/n8n-nodes-langchain.lmChatOpenAi

Globals

Set

Get all labels

Gmail

Filter for unprocessed mails

Filter

Required labels

Filter

Extract Route ID

Set

Get Route by ID

Airtable

Active Routes Only

Filter

No Operation, do nothing

NoOp

Send notification about missing route

Gmail

Generate Actionable Task

@n8n/n8n-nodes-langchain.agent

Get Summary & Meta Data

@n8n/n8n-nodes-langchain.agent

Format Notion Page Blocks

Code

Create Notion Page

HTTP

Add Label "Processed"

Gmail

Deactivate Route

Airtable

Send notification about deactivated route

Gmail

Add Label "Error"

Gmail

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

Browse by integration

lmChatOpenAitoolCalculatoroutputParserStructuredgmailfilterairtablehttpRequestmanualagent
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: mails2notion V2. 38 nodes across lmChatOpenAi, toolCalculator, outputParserStructured, gmail, filter, airtable, httpRequest, manual, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

Built in n8n, "mails2notion V2" chains 38 nodes to move data between lmChatOpenAi, toolCalculator, outputParserStructured, gmail, filter, airtable, httpRequest, manual. 38 nodes · lmChatOpenAi, toolCalculator, outputParserStructured, gmail, filter, airtable Execution begins at the scheduled/triggered trigger and flows through the 38 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 lmChatOpenAi to toolCalculator before building your own variant.
  • Share it with your team as a documented reference for scheduled/triggered automations in the lmChatOpenAi stack.
  • Import "mails2notion V2" into n8n, reconnect credentials for lmChatOpenAi, toolCalculator, outputParserStructured, gmail, filter, airtable, httpRequest, manual, and run the same automation in your own workspace.
  • Use it as a starting template when wiring lmChatOpenAi, toolCalculator, outputParserStructured, gmail, filter, airtable, httpRequest, manual — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "mails2notion V2" exposes 38 configured nodes. Trigger type: scheduled/triggered. Integrations: lmChatOpenAi, toolCalculator, outputParserStructured, gmail, filter, airtable, httpRequest, manual. Open each node after import to map credentials to your own lmChatOpenAi and toolCalculator accounts. 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 "mails2notion V2" JSON into a plain-English runbook, node by node. It can flag where lmChatOpenAi 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 lmChatOpenAi, toolCalculator, outputParserStructured, gmail, filter, airtable, httpRequest, manual. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "mails2notion V2" — extract lmChatOpenAi IDs and secrets into environment variables without changing the 38-node structure.

Frequently asked questions

How do I import "mails2notion V2" 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 "mails2notion V2" use?
It uses: lmChatOpenAi, toolCalculator, outputParserStructured, gmail, filter, airtable, httpRequest, manual. The flow diagram above shows how each service connects across the 38 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 lmChatOpenAi and toolCalculator credentials in n8n after import.
What trigger type does "mails2notion V2" 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 "mails2notion V2" 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 lmChatOpenAi, toolCalculator, outputParserStructured, gmail, filter, airtable, httpRequest, manual.

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