Effortlessly Combine Data Based on Language
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This n8n workflow demonstrates a powerful way to combine disparate data sets based on a common language field. It's perfect for scenarios where you need to enrich information or create personalized outputs for different linguistic groups.
About This Workflow
This workflow showcases a fundamental data integration technique within n8n. It begins with a manual trigger, allowing you to initiate the process on demand. Two separate code nodes generate sample data: one with names and their corresponding languages, and another with greetings and their languages. The core of this workflow lies in the 'Merge' node, which intelligently combines these datasets. By matching on the 'language' field, it ensures that 'Stefan' receives the correct German greeting ('Hallo'), and 'Jim' gets the English greeting ('Hello'). This is an essential pattern for building dynamic and multilingual applications or data processing pipelines.
Key Features
- Manual Trigger: Start your data combination process with a simple click.
- Code Nodes for Data Generation: Easily create and format sample data for testing and development.
- Intelligent Data Merging: Combine datasets based on a shared field (e.g., language) for accurate relationship mapping.
- Multilingual Data Handling: A foundational pattern for building applications that support multiple languages.
How To Use
- Add a Manual Trigger Node: Drag and drop the 'Manual Trigger' node onto your canvas and label it (e.g., 'Start Data Merge').
- Add a Code Node for First Dataset: Insert a 'Code' node. In the JavaScript code editor, return an array of objects, each containing your primary data fields and a 'language' field (e.g.,
nameandlanguage). - Add a Code Node for Second Dataset: Add another 'Code' node. Return an array of objects containing your secondary data fields and a matching 'language' field (e.g.,
greetingandlanguage). - Add a Merge Node: Place a 'Merge' node on the canvas.
- Configure Merge Node: Set the 'Mode' to 'Combine'. In 'Fields to Match', enter 'language' to ensure records are joined based on this common field.
- Connect Nodes: Connect the output of your first Code node to the first input of the Merge node. Connect the output of your second Code node to the second input of the Merge node. Connect the Manual Trigger node to the inputs of both Code nodes.
- Test Workflow: Click the 'Test workflow' button on the Manual Trigger node to see your data merged.
Apps Used
Workflow JSON
{
"id": "31262271-62ef-417f-9305-462cbb233368",
"name": "Effortlessly Combine Data Based on Language",
"nodes": 6,
"category": "Marketing",
"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: 31262271-62ef...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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