Convert JSON Array to CSV

A JSON array of objects where each object has the same keys is the standard format for tabular data returned by REST APIs, and it maps directly to a spreadsheet structure: the keys become column headers, each object becomes a row. This conversion is one of the most frequently needed tasks when working with API data — business stakeholders almost always want to see data in a spreadsheet, while APIs almost always return JSON. This example shows a five-user array with consistent id, name, email, role, and active fields. When you convert this to CSV, the first object's keys become the header row and each subsequent object becomes a data row. Boolean values like active are converted to the strings "true" and "false", and numbers like id remain unquoted in the CSV output. When to use this conversion: exporting user data from your SaaS application's admin API to send to a customer success team; downloading product inventory from an e-commerce API to build a pricing spreadsheet; pulling analytics data from a reporting API to generate a monthly executive summary; feeding API response data into a business intelligence tool that accepts CSV uploads. Key parts of the example explained: the id field is a number, which the CSV converter handles correctly by leaving it unquoted. The email field is a string that won't contain commas or newlines in this example, so it doesn't need quoting. The active boolean field becomes the string "true" or "false" in CSV output — watch for this if downstream tools expect 1/0 or Yes/No instead. Edge cases to be aware of: if objects have different keys (sparse data), the converter uses the union of all keys as columns and leaves cells empty for missing values. Nested objects (like {"address": {"city": "Berlin"}}) get serialized as JSON strings within the CSV cell rather than being flattened — use the JSON tree viewer to flatten the structure first if you need individual columns for nested properties. Tips: after downloading the CSV, verify that numeric columns weren't turned into text by Excel's import wizard by checking that they right-align in cells. If you're piping this data into a database, consider using the JSON-to-SQL tool instead for a direct INSERT statement.

[
  { "id": 1, "name": "Alice", "email": "[email protected]", "role": "admin", "active": true },
  { "id": 2, "name": "Bob", "email": "[email protected]", "role": "user", "active": true },
  { "id": 3, "name": "Carol", "email": "[email protected]", "role": "user", "active": false },
  { "id": 4, "name": "Dave", "email": "[email protected]", "role": "editor", "active": true },
  { "id": 5, "name": "Eve", "email": "[email protected]", "role": "user", "active": false }
]