Seamlessly Merge Interviewer and Employee Data
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This n8n workflow efficiently combines disparate datasets, linking interview scheduling details with comprehensive employee profiles. It automates the process of enriching core records with detailed information, ensuring all necessary data is available in one place for improved operational efficiency.
About This Workflow
Managing information across multiple systems can lead to fragmented data and inefficiencies. This n8n workflow provides a robust solution for consolidating and enriching data by merging two distinct streams: interview scheduling details and comprehensive employee profiles. It intelligently matches records based on a common identifier (like an employee ID), appending rich profile data such as job title, department, and even a photo URL to your interview records. This ensures that anyone viewing interview schedules has immediate access to full interviewer context, streamlining recruitment, HR, or project management operations and eliminating manual data lookups.
Key Features
- Intelligent Data Merging: Combines records from two different data sources based on a specific key (e.g., employee ID).
- Flexible Data Transformation: Utilizes Function nodes to prepare complex JSON structures for seamless merging.
- Automated Data Enrichment: Automatically appends detailed employee profile information (like photos, job titles, departments) to core records.
- Handles Nested Data: Efficiently navigates and extracts identifiers from deeply nested JSON structures.
How To Use
- Prepare Your Data Sources: Replace the "Data 1" and "Data 2" Function nodes with actual data sources (e.g., HTTP Request, CRM nodes, database nodes) that output similar JSON structures.
- Adjust Data Conversion: If your incoming data structures differ, modify the "Convert Data 1" and "Convert Data 2" Function nodes to transform your data into individual n8n items, each containing a single record in its
jsonproperty. - Configure Merge Keys: In the "Merge" node, update
propertyName1to match the path to the unique identifier in your first data source (e.g.,interviewers[0].id). - Set Second Merge Key: Similarly, update
propertyName2in the "Merge" node to point to the unique identifier in your second data source (e.g.,fields.eid). - Connect Subsequent Nodes: Add nodes downstream from the "Merge" node to process the combined data, such as writing to a database, sending notifications, or updating another application.
Apps Used
Workflow JSON
{
"id": "7e394ed6-c545-4da5-8615-7743e4053f37",
"name": "Seamlessly Merge Interviewer and Employee Data",
"nodes": 28,
"category": "Operations",
"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: 7e394ed6-c545...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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