Transform

Pluck a specific property from an array of JSON objects into a list or column

Pluck a single attribute (like email or id) across all objects in a JSON array.

🛡️ Your rows never leave your browser.
Why Onfyt: Includes auto-completion of all available top-level and nested JSON keys to extract fields directly without typing paths.

Interactive Sample Data

extracted_valuesstatus
grace@corp.comactive
peter@corp.comactive
david@corp.comactive

How this tool works

When working with API responses, webhook logs, or database query results, you often receive large JSON arrays containing dozens of properties per record. In many everyday workflows, however, you only need one specific attribute from each object—such as plucking all user email addresses to populate a mailing list, or extracting all order IDs to paste into a SQL WHERE IN clause. Filtering through a 5MB JSON payload in a code editor to manually copy-paste values from between quote marks is tedious. Writing a custom Python or jq script requires firing up a terminal and remembering command-line flag syntax. DataFix inspects the keys present across your JSON array and lets you pick any field to extract with a single click. The plucked values can be formatted as a newline-delimited list, a quoted SQL IN clause, a JavaScript array literal, or a standalone single-column CSV. Missing properties on individual objects are cleanly handled without throwing runtime exceptions.

Things that usually go wrong

  • If the field is missing in some objects, those rows produce empty values.
  • Array fields (e.g. 'tags': ['a','b']) are joined as a comma-separated string.

Edge cases we tested

🧪 Objects missing the target property

Omitted or output as empty string based on user configuration.

🧪 Target property containing null values

Filtered out or represented as empty string.

🧪 Extracting nested dot-notated paths ('user.profile.email')

Traverses child objects to pluck deeply nested properties.

Frequently Asked Questions

Can I extract multiple fields at once?

Yes — enter multiple dot-notation paths and each becomes a column in the output CSV.

What if the field is nested inside an array?

Use 'items.0.name' to extract the first element of a nested array, or Flatten Nested JSON first.

What if the field I want to extract is sometimes missing from some objects?

Missing fields produce an empty cell in the output for that row. No row is skipped — the output has the same number of rows as the input array.

Can I extract all top-level fields at once?

Yes — leave the field selector empty and choose 'All fields'. This is equivalent to flattening the JSON to a CSV, similar to Flatten Nested JSON.

Related tools

Transform

Column to Comma-Separated List

Extract a CSV column and convert it to a comma-separated list for SQL IN clauses or code arrays.

Open Tool →
Transform

Comma-Separated List to Column

Convert a comma-separated, line-separated, or SQL IN list into a single-column CSV.

Open Tool →
Transform

Lines to CSV

Convert plain-text newline-delimited records into structured CSV tables.

Open Tool →