Text Processingflags: g

JSON Boolean / Null Literal

Match JSON `true`, `false`, and `null` literal values, with word boundaries to avoid partial matches.

Available in

JavaScript / ECMAScript code

jsJavaScript

const re = new RegExp("\\b(true|false|null)\\b", "g");
const input = "{\"active\": true, \"deleted\": false, \"deleted_at\": null}";
const matches = [...input.matchAll(re)];
console.log(matches.map(m => m[0]));

Uses `String.prototype.matchAll` for global iteration (Node 12+ / all modern browsers).

Python (re) code

pyPython

import re

pattern = re.compile(r"\b(true|false|null)\b")
input_text = "{\"active\": true, \"deleted\": false, \"deleted_at\": null}"
for m in pattern.finditer(input_text):
    print(m.group(0))

Stdlib `re` module — no third-party dependency. Works on Python 3.6+.

Go (RE2) code

goGo

package main

import (
	"fmt"
	"regexp"
)

func main() {
	re := regexp.MustCompile(`\b(true|false|null)\b`)
	input := `{"active": true, "deleted": false, "deleted_at": null}`
	for _, match := range re.FindAllString(input, -1) {
		fmt.Println(match)
	}
}

Uses `regexp.MustCompile` (panics on bad patterns at startup) and `FindAllString` for all matches.

Pattern

regexengine-agnostic

\b(true|false|null)\b   (flags: g)

Raw source: \b(true|false|null)\b

How it works

\b is a word boundary on both sides so we don't match inside `nullable` or `falsey`. (true|false|null) captures one of the three JSON literals. Useful for quick log scraping or schema-detection passes when full JSON parsing is overkill.