CSV or JSON? Pick the format that fits your next step.

The same information, two different shapes

CSV and JSON are both plain-text formats. You can open either in a text editor, send them between applications, and store useful data in them. The difference is how they describe that data.

CSV represents a table: each record is a row, and commas separate the cells. A header row usually names the columns. JSON can represent objects, lists, strings, numbers, booleans, and null, with nested structures when you need them.

name,company
Alex,Studio North
Sam,Orbit

[
  {"name": "Alex", "company": "Studio North"},
  {"name": "Sam", "company": "Orbit"}
]

These examples carry the same two records. Neither format is inherently more accurate; the right choice depends on the next system that will read it.

Choose CSV for a flat table

CSV is a practical choice for contact lists, research exports, and simple reports with the same columns in every row. It is widely supported by spreadsheets and import tools, and it is easy to inspect visually.

Its simplicity comes with a tradeoff: CSV does not define data types. The receiving application decides whether a value is text, a number, or a date. That can change a code like 00123 into 123 unless you import the column as text.

Commas inside values also need special handling. A company named North, Inc. belongs in a quoted cell. Quotation marks inside a quoted value are doubled. A proper converter does this for you.

Choose JSON for structured data

JSON is useful when a record has optional fields, a list of tags, or a nested address. An object can carry those relationships without forcing everything into a rectangular table.

It is also a common format for webhook payloads and application APIs. Always check the receiving system’s expected schema: valid JSON is not necessarily the shape that an integration accepts.

When mapping CSV to JSON, decide which columns should stay strings and which should become numbers or booleans. Keep identifiers as strings to preserve their original representation.

Convert with the destination in mind

To convert a JSON array into CSV, choose a fixed set of columns first. Decide how to handle missing fields, null values and nested objects. A nested address may need separate columns, while a list may need its own table.

This is useful for inspecting API records, but it is not a lossless round trip. Converting back to JSON will not recreate the original types or distinguish a missing field from null. Keep the original file if you might need the full structure later.

If the source is a webpage, WebAct can help extract its visible information into a file. Paid integrations can also send a completed task result to your webhook workflow. Check the result and receiving schema before connecting it to a downstream action.