JSON to CSV Converter

Convert JSON arrays to CSV spreadsheet format. Handles nested objects with dot notation.

Export JSON Data to Excel-Friendly CSV Format

JSON data from APIs, NoSQL databases (MongoDB, Firestore) or web scraping needs to be exported to CSV for analysis in Excel, Google Sheets, Tableau or any BI tool. The challenge with JSON is nested objects — our converter flattens nested structures using dot notation (user.address.city becomes a column header), making deeply nested API responses usable in spreadsheets without manual reformatting.

Frequently Asked Questions

How to convert a JSON array to CSV in JavaScript?
const data = [{name:"Alice",age:30}]; const headers = Object.keys(data[0]); const rows = data.map(r => headers.map(h => JSON.stringify(r[h] ?? "")).join(",")); const csv = [headers.join(","), ...rows].join("\n"); — For complex nested JSON, use our online converter which handles dot-notation flattening automatically.
How to open a JSON file in Excel?
Modern Excel (2016+): Data → Get Data → From File → From JSON → navigate to file → Transform → use Power Query Editor to expand nested objects. Alternatively, convert JSON to CSV first using our tool, then open the CSV in Excel for simpler, faster analysis.
How to export MongoDB data to Excel?
In MongoDB Compass: select your collection → click Export → choose CSV format → map fields. Alternatively: mongoexport --collection=myCollection --type=csv --fields=field1,field2 > data.csv. If you have a JSON dump from mongoexport, use our JSON to CSV converter to prepare it for Excel.
What happens to nested objects in JSON to CSV conversion?
Our converter flattens nested objects using dot notation: {"user":{"name":"Alice","address":{"city":"Mumbai"}}} becomes three columns: user.name, user.address.city. Arrays within objects are JSON-stringified as a single cell value — for proper array expansion, use pandas (pd.json_normalize()) or jq for more control.