JSON to CSV: Export Structured Data for Spreadsheets
APIs return JSON, but analysts work in Excel. Learn how to flatten nested JSON into clean CSV rows.
JSON is the standard API response format. CSV is what Excel, Google Sheets, and most BI tools expect. Converting between them is a daily task for analysts and developers.
Understanding the Structure Difference
JSON supports nested objects and arrays. CSV is flat - one row per record, one column per field. Flattening nested JSON is where most manual exports fail.
Common Manual Export Pitfalls
- Nested arrays become unreadable single cells
- Commas inside values break column alignment
- Null values appear as empty strings inconsistently
- Date formats vary between systems
Pro tip: Always open CSV exports in a text editor first to verify quoting before importing into Excel.
Use Our JSON to CSV Tool
Our JSON to CSV converter flattens nested structures and handles quoting automatically. For the reverse direction, use CSV to JSON.
Excel Workflow
After converting to CSV, import into Excel with Data → From Text/CSV. Select UTF-8 encoding to preserve international characters. For direct Excel output, try Excel to CSV in reverse workflows.
Handling Nested JSON
Real API responses often contain arrays inside objects. A flat CSV can represent one level of nesting by prefixing column names (e.g., address.city, address.zip). Deeper nesting may require multiple CSV files or staying in JSON format for complex structures.
Key Takeaways
- JSON is hierarchical; CSV is flat
- Flatten and quote carefully to avoid broken imports
- Validate output in a text editor before loading into Excel