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0719_Stopanderror_Splitout_Create_Webhook

85 nodes · outputParserStructured, lmChatOpenAi, form, chainLlm, splitOut, splitInBatches

Engine
n8n
Nodes
85
Trigger
scheduled/triggered
Source file
0719_Stopanderror_Splitout_Create_Webhook.json

Workflow flow

IntegrationsOutputParserStructuredLmChatOpenAiFormChainLlmSplit OutSplitInBatchesExecuteWorkflowExecutionDataSwitchNotionMarkdownLmChatGoogleGemini+13 more

Integration path in execution order (sticky notes and duplicate steps omitted)

@n8n/n8n-nodes-langchain.outputParserStructuredSet@n8n/n8n-nodes-langchain.lmChatOpenAiForm@n8n/n8n-nodes-langchain.chainLlmSplit OutNoOpSplitInBatchesExecuteWorkflowExecutionDataSwitchNotionIFMarkdown@n8n/n8n-nodes-langchain.lmChatGoogleGeminiHTTPFilterMergeCodeAggregateStopAndError

64 steps · use Full diagram for every node

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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

Free n8n workflow: 0719_Stopanderror_Splitout_Create_Webhook. 85 nodes across outputParserStructured, lmChatOpenAi, form, chainLlm, splitOut, splitInBatches, executeWorkflow, executionData, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

"0719_Stopanderror_Splitout_Create_Webhook" is an n8n automation built from 85 nodes spanning outputParserStructured, lmChatOpenAi, form, chainLlm, splitOut, splitInBatches, executeWorkflow, executionData. 85 nodes · outputParserStructured, lmChatOpenAi, form, chainLlm, splitOut, splitInBatches Execution begins at the scheduled/triggered trigger and flows through the 85 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

  • Use it as a starting template when wiring outputParserStructured, lmChatOpenAi, form, chainLlm, splitOut, splitInBatches, executeWorkflow, executionData — adjust node parameters to your accounts and record IDs.
  • Import "0719_Stopanderror_Splitout_Create_Webhook" into n8n, reconnect credentials for outputParserStructured, lmChatOpenAi, form, chainLlm, splitOut, splitInBatches, executeWorkflow, executionData, and run the same automation in your own workspace.
  • Share it with your team as a documented reference for scheduled/triggered automations in the outputParserStructured stack.
  • Study how data moves from outputParserStructured to lmChatOpenAi before building your own variant.

Example output

Imported into n8n, "0719_Stopanderror_Splitout_Create_Webhook" exposes 85 configured nodes. Trigger type: scheduled/triggered. Integrations: outputParserStructured, lmChatOpenAi, form, chainLlm, splitOut, splitInBatches, executeWorkflow, executionData. Reconnect the outputParserStructured 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 "0719_Stopanderror_Splitout_Create_Webhook" into Claude and ask it to explain each of the 85 nodes. Claude is good at suggesting credential mappings for outputParserStructured, lmChatOpenAi, form, chainLlm, splitOut, splitInBatches, executeWorkflow, executionData, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "0719_Stopanderror_Splitout_Create_Webhook" to your accounts — which outputParserStructured, lmChatOpenAi, form, chainLlm, splitOut, splitInBatches, executeWorkflow, executionData 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 85 nodes.

Frequently asked questions

How do I import "0719_Stopanderror_Splitout_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 "0719_Stopanderror_Splitout_Create_Webhook" use?
It uses: outputParserStructured, lmChatOpenAi, form, chainLlm, splitOut, splitInBatches, executeWorkflow, executionData. The flow diagram above shows how each service connects across the 85 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 outputParserStructured and lmChatOpenAi credentials in n8n after import.
What trigger type does "0719_Stopanderror_Splitout_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 "0719_Stopanderror_Splitout_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 outputParserStructured, lmChatOpenAi, form, chainLlm, splitOut, splitInBatches, executeWorkflow, executionData.

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