JSON a CSV
Convierte arrays JSON a CSV para hojas de cálculo
Entrada JSON
Salida CSV
Turn JSON arrays into spreadsheet-ready rows
JSON is great for APIs but most analysts, ops teams, and stakeholders work in spreadsheets. Converting an array of JSON objects to CSV produces a clean header row and one record per line — ready for Excel, Google Sheets, BI tools, or any data pipeline that speaks CSV.
Use the converter when you need to
Export an API response to a spreadsheet
Take an array of records from an endpoint or export and hand it to anyone who lives in Excel or Sheets.
Flatten nested data for analysts
Nested objects collapse to dot-notation columns so analysts can work with the data without writing code.
Prepare bulk imports for other systems
Many CRMs, marketing tools, and databases accept CSV uploads but not JSON — convert first to bulk-load records.
How to convert JSON to CSV quickly
- 1
Paste a JSON array of objects into the editor.
- 2
Click Convert to extract column headers from the keys and produce one CSV row per object.
- 3
Copy the CSV or download a .csv file for direct use in spreadsheets.
Keep going
Convert CSV back to JSON
Round-trip data when a downstream consumer expects JSON instead.
Render as an HTML table
Embed the same data in a web page or doc instead of a spreadsheet.
Clean up JSON first
Format the input payload to spot missing fields before converting.
Inspect the source data
Use tree or table view to verify the structure is uniform before bulk conversion.
Common JSON-to-CSV workflows
Export users, orders, or events from a debug session into a CSV your colleagues can sort and filter.
Convert API output into the CSV format your CRM, mailing list, or admin panel expects.
Save weekly or monthly exports as CSV files so the numbers stay reproducible later.
Herramientas relacionadas
Preguntas frecuentes
Pega un array JSON de objetos y haz clic en Convert. La herramienta extrae automáticamente los encabezados a partir de las claves y genera las filas del CSV. Los objetos anidados se aplanan usando notación con puntos (por ejemplo, address.city).
Lo ideal es un array de objetos planos, por ejemplo: [{"name":"Alice","age":30},{"name":"Bob","age":25}]. Los objetos anidados se aplanan y los arrays dentro de objetos se unen con punto y coma.
Sí. Tras convertir, haz clic en Download y el archivo .csv se puede abrir directamente en Excel, Google Sheets, LibreOffice Calc o cualquier hoja de cálculo.
Se aplanan con notación de puntos. Por ejemplo, {"user":{"name":"Alice"}} se convierte en una columna llamada user.name. Las estructuras con mucha profundidad se expanden por completo en columnas individuales.