Nested JSON Flattening
Advanced strategies for converting hierarchical JSON to flat CSV
The Flattening Challenge
One of the biggest challenges in data format conversion is handling nested JSON structures. APIs often return deeply nested objects and arrays, but CSV and Excel require flat, tabular data. This guide covers proven strategies for flattening complex JSON while preserving data integrity.
β οΈ Note: There's no perfect universal solutionβthe best approach depends on your data structure and use case.
Strategy 1: Dot Notation Flattening
Transform nested object paths into flat column names using dot notation.
Example
Input JSON
{
"id": 1,
"user": {
"name": "Alice",
"contact": {
"email": "alice@ex.com",
"phone": "555-0100"
}
}
}Flattened CSV
id,user.name,user.contact.email,user.contact.phone 1,Alice,alice@ex.com,555-0100
Pros & Cons
β Advantages
- β’ Preserves all data
- β’ No data duplication
- β’ Reversible (can reconstruct JSON)
- β’ Clear column naming
β Disadvantages
- β’ Long column names
- β’ Doesn't handle arrays well
- β’ Deep nesting creates many columns
- β’ Less intuitive for non-technical users
Strategy 2: Array Expansion
Create multiple rows for array items, duplicating parent data in each row.
Example
Input JSON
{
"orderId": "A123",
"customer": "Alice",
"items": [
{"product": "Laptop", "qty": 1},
{"product": "Mouse", "qty": 2}
]
}Expanded CSV
orderId,customer,product,qty A123,Alice,Laptop,1 A123,Alice,Mouse,2
Pros & Cons
β Advantages
- β’ Intuitive tabular format
- β’ Easy to filter/analyze per item
- β’ Works well with reporting tools
- β’ Natural for one-to-many relationships
β Disadvantages
- β’ Data duplication (larger files)
- β’ Harder to reconstruct original JSON
- β’ Variable row count per record
- β’ Nested arrays create exponential rows
Strategy 3: JSON String Preservation
Keep complex nested structures as JSON strings within CSV cells.
Example
Input JSON
{
"id": 1,
"name": "Alice",
"metadata": {
"tags": ["vip", "priority"],
"preferences": {
"theme": "dark",
"locale": "en-US"
}
}
}CSV with JSON String
id,name,metadata
1,Alice,"{""tags"":[""vip"",""priority""],""preferences"":{""theme"":""dark"",""locale"":""en-US""}}"Pros & Cons
β Advantages
- β’ 100% data preservation
- β’ Minimal columns
- β’ Perfectly reversible
- β’ Good for rarely-accessed data
β Disadvantages
- β’ Can't filter/sort nested data in Excel
- β’ Requires parsing to access
- β’ Not human-friendly
- β’ Quote escaping complexity
Strategy 4: Multiple Tables (Relational)
Split into related tables with foreign keys, like a relational database.
Example
Input JSON
{
"orderId": "A123",
"customer": "Alice",
"items": [
{"product": "Laptop", "price": 999},
{"product": "Mouse", "price": 25}
]
}Output: Two CSVs
orders.csv
orderId,customer A123,Alice
order_items.csv
orderId,product,price A123,Laptop,999 A123,Mouse,25
Pros & Cons
β Advantages
- β’ Normalized data (no duplication)
- β’ Efficient storage
- β’ Database-compatible structure
- β’ Scales well
β Disadvantages
- β’ Multiple files to manage
- β’ Requires JOIN operations to analyze
- β’ More complex setup
- β’ Not suitable for Excel sheets
Choosing the Right Strategy
| Use Case | Best Strategy | Why |
|---|---|---|
| Simple nested objects | Dot Notation | Clean, preserves structure |
| One-to-many relationships | Array Expansion | Natural tabular format |
| Complex, rarely accessed data | JSON String | Preserves everything |
| Database-bound data | Multiple Tables | Normalized, efficient |
| Excel analysis | Array Expansion | Pivot-table friendly |
Handling Deep Nesting (5+ Levels)
β οΈ When JSON is Too Complex
If your JSON has 5+ nesting levels or multiple arrays at different depths, consider:
- 1. Simplify the JSON: Pre-process to reduce complexity
- 2. Hybrid Approach: Flatten important fields, preserve complex ones as JSON strings
- 3. Keep as JSON: CSV might not be the right format
Practical Tips
- 1.Know Your Audience: Excel users prefer expanded rows, developers prefer dot notation
- 2.Test with Real Data: Edge cases often appear only with production data
- 3.Document Your Approach: Future you will thank present you
- 4.Consider Round-Trip: Can you convert back to original JSON if needed?
π‘ Try Our Flattening Tool
Our converter supports multiple flattening strategies with live preview. Test different approaches to see which works best for your data.
Flatten Nested JSON Now βAuthored by: JSON CSV Converter
Last updated: February 15, 2026