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0913_Splitout_Code_Create_Webhook

11 nodes · lmChatOpenRouter, outputParserStructured, httpRequest, manual, splitInBatches, googleSheets

Engine
n8n
Nodes
11
Trigger
scheduled/triggered
Source file
0913_Splitout_Code_Create_Webhook.json

Workflow flow

IntegrationsLmChatOpenRouterOutputParserStructuredHTTPManualSplitInBatchesGoogle SheetsChainLlmSplit Out@n8n/n8n-nodes-langchain.lmChatOpenRouter@n8n/n8n-nodes-langchain.outputParserStructuredCode@n8n/n8n-nodes-langchain.chainLlm
100%

OpenRouter Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenRouter

Structured Output Parser

@n8n/n8n-nodes-langchain.outputParserStructured

TRIGGER

When clicking ‘Test workflow’

Manual

get urls to scrape

Google Sheets

clean html

Code

extract data

@n8n/n8n-nodes-langchain.chainLlm

Split items

Split Out

add results

Google Sheets

url

SplitInBatches

scrap url

HTTP

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

Browse by integration

lmChatOpenRouteroutputParserStructuredhttpRequestmanualsplitInBatchesgoogleSheetschainLlmsplitOut
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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

0913_Splitout_Code_Create_Webhook (11-node n8n automation, lmChatOpenRouter, outputParserStructured, httpRequest, manual, splitInBatches, googleSheets, chainLlm, splitOut) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

"0913_Splitout_Code_Create_Webhook" automates a lmChatOpenRouter-to-outputParserStructured flow in n8n across 11 nodes. 11 nodes · lmChatOpenRouter, outputParserStructured, httpRequest, manual, splitInBatches, googleSheets 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

  • Share it with your team as a documented reference for scheduled/triggered automations in the lmChatOpenRouter stack.
  • Study how data moves from lmChatOpenRouter to outputParserStructured before building your own variant.
  • Use it as a starting template when wiring lmChatOpenRouter, outputParserStructured, httpRequest, manual, splitInBatches, googleSheets, chainLlm, splitOut — adjust node parameters to your accounts and record IDs.
  • Import "0913_Splitout_Code_Create_Webhook" into n8n, reconnect credentials for lmChatOpenRouter, outputParserStructured, httpRequest, manual, splitInBatches, googleSheets, chainLlm, splitOut, and run the same automation in your own workspace.

Example output

Imported into n8n, "0913_Splitout_Code_Create_Webhook" exposes 11 configured nodes. Trigger type: scheduled/triggered. Integrations: lmChatOpenRouter, outputParserStructured, httpRequest, manual, splitInBatches, googleSheets, chainLlm, splitOut. Reconnect the lmChatOpenRouter credential first, then walk the remaining nodes top to bottom. 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 "0913_Splitout_Code_Create_Webhook" into Claude and ask it to explain each of the 11 nodes. Claude is good at suggesting credential mappings for lmChatOpenRouter, outputParserStructured, httpRequest, manual, splitInBatches, googleSheets, chainLlm, splitOut, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "0913_Splitout_Code_Create_Webhook" to your accounts — which lmChatOpenRouter, outputParserStructured, httpRequest, manual, splitInBatches, googleSheets, chainLlm, splitOut 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 11 nodes.

Frequently asked questions

How do I import "0913_Splitout_Code_Create_Webhook" 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 "0913_Splitout_Code_Create_Webhook" use?
It uses: lmChatOpenRouter, outputParserStructured, httpRequest, manual, splitInBatches, googleSheets, chainLlm, splitOut. The flow diagram above shows how each service connects across the 11 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 lmChatOpenRouter and outputParserStructured credentials in n8n after import.
What trigger type does "0913_Splitout_Code_Create_Webhook" 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 "0913_Splitout_Code_Create_Webhook" 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 lmChatOpenRouter, outputParserStructured, httpRequest, manual, splitInBatches, googleSheets, chainLlm, splitOut.

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