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Amazon Ads AI Optimization

22 nodes · googleDrive, lmChatOpenAi, gmail, extractFromFile, manual, chainLlm

Engine
n8n
Nodes
22
Trigger
scheduled/triggered
Source file
1301_Code_Extractfromfile_Automation_Triggered.json

Workflow flow

IntegrationsGoogle DriveLmChatOpenAiGmailExtractFromFileManualChainLlm@n8n/n8n-nodes-langchain.lmChatOpenAiIFMergeCodeSet@n8n/n8n-nodes-langchain.chainLlm
100%

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

TRIGGER

When clicking ‘Test workflow’

Manual

Email Options

Set

List Files

Google Drive

Get File

Google Drive

Set fileName

Set

is XLSX

IF

Extract XLSX Data

ExtractFromFile

Extract CSV Data

ExtractFromFile

Preserve File Name

Set

Preserve CSV File Name

Set

Merge XLSX and CSV

Merge

Format Data

Code

AI Analyze

@n8n/n8n-nodes-langchain.chainLlm

Email Optimizations

Gmail

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

Browse by integration

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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

Amazon Ads AI Optimization is a free n8n workflow on OpenRuna — 22 nodes connecting googleDrive, lmChatOpenAi, gmail, extractFromFile, manual, chainLlm. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

This n8n workflow, "Amazon Ads AI Optimization", wires together googleDrive, lmChatOpenAi, gmail, extractFromFile, manual, chainLlm in 22 nodes. 22 nodes · googleDrive, lmChatOpenAi, gmail, extractFromFile, manual, chainLlm 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

  • Fork it to add error handling, retries, or a notification step without designing the 22-node flow from scratch.
  • Benchmark it against your current googleDrive integration to spot missing steps or redundant nodes.
  • Import "Amazon Ads AI Optimization" into n8n, reconnect credentials for googleDrive, lmChatOpenAi, gmail, extractFromFile, manual, chainLlm, and run the same automation in your own workspace.
  • Use it as a starting template when wiring googleDrive, lmChatOpenAi, gmail, extractFromFile, manual, chainLlm — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "Amazon Ads AI Optimization" exposes 22 configured nodes. Trigger type: scheduled/triggered. Integrations: googleDrive, lmChatOpenAi, gmail, extractFromFile, manual, chainLlm. Open each node after import to map credentials to your own googleDrive and lmChatOpenAi 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 "Amazon Ads AI Optimization" JSON into a plain-English runbook, node by node. It can flag where googleDrive 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 googleDrive, lmChatOpenAi, gmail, extractFromFile, manual, chainLlm. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "Amazon Ads AI Optimization" — extract googleDrive IDs and secrets into environment variables without changing the 22-node structure.

Frequently asked questions

How do I import "Amazon Ads AI Optimization" 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 "Amazon Ads AI Optimization" use?
It uses: googleDrive, lmChatOpenAi, gmail, extractFromFile, manual, chainLlm. The flow diagram above shows how each service connects across the 22 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 googleDrive and lmChatOpenAi credentials in n8n after import.
What trigger type does "Amazon Ads AI Optimization" 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 "Amazon Ads AI Optimization" 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 googleDrive, lmChatOpenAi, gmail, extractFromFile, manual, chainLlm.

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