Text Processingflags: g

Hashtag

Match hashtags (# followed by word characters) in social media posts, including accented Latin characters.

Available in

JavaScript / ECMAScript code

jsJavaScript

const re = new RegExp("#([\\w\\u00C0-\\u024F]+)", "g");
const input = "Loving #JavaScript and #regex!";
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"#([\w\u00C0-\u024F]+)")
input_text = "Loving #JavaScript and #regex!"
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(`#([\w\u00C0-\u024F]+)`)
	input := `Loving #JavaScript and #regex!`
	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

#([\w\u00C0-\u024F]+)   (flags: g)

Raw source: #([\w\u00C0-\u024F]+)

How it works

# matches the literal hash. The capturing group ([\w\u00C0-\u024F]+) matches one or more word characters (letters, digits, underscore) plus Latin Extended Unicode range for accented characters like #café or #naïve.