Automate User Data Processing and Analysis with n8n
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Streamline your user data workflows by automatically processing, enriching, and analyzing user information. This n8n workflow demonstrates how to handle individual user data, integrate external APIs, and aggregate results for insightful reporting.
About This Workflow
This n8n workflow showcases a powerful approach to managing user data. It begins by defining sample user data, then efficiently splits this data to process each user individually. Through custom JavaScript code, the workflow enriches each user's record by calculating their full name and age. It further demonstrates advanced capabilities by integrating with an external API to predict gender based on the first name, leveraging n8n's helpers.httpRequest for seamless API calls. Finally, the workflow aggregates all processed user data to compute the average age and total user count, providing valuable analytical insights. An expert-level node is also included to illustrate creating binary files, such as CSVs, directly from your processed data.
Key Features
- Individual Item Processing: Execute custom logic for each user record independently.
- External API Integration: Dynamically fetch and incorporate data from third-party services using code nodes.
- Data Aggregation & Analysis: Calculate summary statistics like average age and total counts across your dataset.
- Data Enrichment: Automatically add new fields such as
fullName,age,gender, andgenderProbability. - Code Node Flexibility: Utilize JavaScript for complex data manipulation and custom automation rules.
- Binary File Generation (Expert): Create files like CSVs directly from your workflow outputs.
How To Use
- Initialize Data: Start with the
1. Sample Datanode. Modify theusersarray with your own sample data or replace this node with a data source from your system (e.g., a database node). - Split User Records: Connect the
1. Sample Datanode to2. Split Out Users. This node prepares each user record to be processed individually. - Process Each User: Connect
2. Split Out Usersto3. Process Each User. This code node calculatesfullNameandagefor each user. - Enrich with External Data (Optional): Connect
3. Process Each Userto4. Fetch External Data (Advanced). This node usesthis.helpers.httpRequestto call an external API and fetch gender information based on the user's first name. It addsgenderandgenderProbabilityto the user's data. - Aggregate Results: Connect the previous node (either
3. Process Each Useror4. Fetch External Data (Advanced)) to5. Calculate Average Age. This code node runs once for all users, calculating thetotalUsersandaverageAge. - Generate Output Files (Expert): For advanced users, connect the node you wish to process for file generation (e.g.,
4. Fetch External Data (Advanced)) to6. Create a Binary File (Expert). This code node demonstrates creating a CSV file from the processed user data.
Apps Used
Workflow JSON
{
"id": "9cc757d3-add1-4430-8a18-be4b43ef6c26",
"name": "Automate User Data Processing and Analysis with n8n",
"nodes": 23,
"category": "DevOps",
"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: 9cc757d3-add1...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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