1398_Splitout_Code_Automation_Webhook
37 nodes · manual, html, splitOut, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi
- Engine
- n8n
- Nodes
- 37
- Trigger
- scheduled/triggered
- Source file
- 1398_Splitout_Code_Automation_Webhook.json
Workflow flow
When clicking ‘Test workflow’
Manual
Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader
Recursive Character Text Splitter
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter
Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
Execute Workflow Trigger
ExecuteWorkflow
Set Variables
Set
Set Variables1
Set
Find Reviews
HTTP
Clear Existing Reviews
HTTP
Get TrustPilot Page
HTTP
Apply K-means Clustering Algorithm
Code
Extract Reviews
Html
Clusters To List
Split Out
Zip Entries
Set
Only Clusters With 3+ points
Filter
Reviews to List
Split Out
Get Payload of Points
HTTP
Qdrant Vector Store
@n8n/n8n-nodes-langchain.vectorStoreQdrant
Customer Insights Agent
@n8n/n8n-nodes-langchain.informationExtractor
Prep Output For Export
Set
Prep Values For Trigger
Set
Export To Sheets
Google Sheets
Trigger Insights
ExecuteWorkflow
24 steps · flows top to bottom, branches left to right
Browse by integration
Import into n8n
- Download the n8n JSON file (full or sanitized).
- In n8n: Workflows → Import from file.
- Open each node and reconnect credentials to your accounts.
- 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.
Overview
Free n8n workflow: 1398_Splitout_Code_Automation_Webhook. 37 nodes across manual, html, splitOut, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, httpRequest, lmChatOpenAi, with a downloadable JSON and a visual flow diagram on OpenRuna.
What this workflow does
Built in n8n, "1398_Splitout_Code_Automation_Webhook" chains 37 nodes to move data between manual, html, splitOut, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, httpRequest, lmChatOpenAi. 37 nodes · manual, html, splitOut, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. OpenRuna shows the full flow diagram, an integration breakdown, and a one-click JSON export for n8n's "Import from file". 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 manual to html before building your own variant.
- Share it with your team as a documented reference for scheduled/triggered automations in the manual stack.
- Import "1398_Splitout_Code_Automation_Webhook" into n8n, reconnect credentials for manual, html, splitOut, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, httpRequest, lmChatOpenAi, and run the same automation in your own workspace.
- Use it as a starting template when wiring manual, html, splitOut, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, httpRequest, lmChatOpenAi — adjust node parameters to your accounts and record IDs.
Example output
Imported into n8n, "1398_Splitout_Code_Automation_Webhook" exposes 37 configured nodes. Trigger type: scheduled/triggered. Integrations: manual, html, splitOut, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, httpRequest, lmChatOpenAi. Reconnect the manual 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
Ask Claude to turn the "1398_Splitout_Code_Automation_Webhook" JSON into a plain-English runbook, node by node. It can flag where manual 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 manual, html, splitOut, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, httpRequest, lmChatOpenAi. Handy for onboarding teammates new to n8n.
Cursor
In Cursor, ask Agent mode to parameterise "1398_Splitout_Code_Automation_Webhook" — extract manual IDs and secrets into environment variables without changing the 37-node structure.
Frequently asked questions
- How do I import "1398_Splitout_Code_Automation_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 "1398_Splitout_Code_Automation_Webhook" use?
- It uses: manual, html, splitOut, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, httpRequest, lmChatOpenAi. The flow diagram above shows how each service connects across the 37 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 manual and html credentials in n8n after import.
- What trigger type does "1398_Splitout_Code_Automation_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 "1398_Splitout_Code_Automation_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 manual, html, splitOut, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, httpRequest, lmChatOpenAi.
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