Generate Structured Metadata from Customer Data
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Retrieve customer data and count the number of records.
About This Workflow
This workflow demonstrates how to fetch all customer records from a datastore and then count the total number of retrieved records. It serves as a basic example for data retrieval and processing within n8n.
Key Features
- Manual Trigger: Start the workflow by manually clicking the "Execute Workflow" button.
- Data Retrieval: Connects to the n8n training customer datastore to fetch all customer entries.
- Record Counting: Utilizes a Set node to calculate and store the total count of customer records.
How To Use
- Trigger: Click the "Execute Workflow" button on the manual trigger node.
- Data Fetch: The "Customer Datastore (n8n training)" node will query the datastore for all customer data.
- Count Records: The "Set" node will then process the results from the previous node, calculating the total number of items and storing it in a variable named
itemCount.
Apps Used
Workflow JSON
{
"id": "2ec831e1-a8ad-4ab3-a11c-b285077b77e2",
"name": "Generate Structured Metadata from Customer Data",
"nodes": 7,
"category": "Data Management",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 2ec831e1-a8ad...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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