## Introduction to Regular Expressions

A regular expression (also called regex) is a way to work with strings, in a very performant way.

By formulating a regular expression with a special syntax, you can

• search text a string
• replace substrings in a string
• extract information from a string

Almost every programming language implements regular expressions. There are small differences between each implementation, but the general concepts apply almost everywhere.

Regular Expressions date back to the 1950s, when it was formalized as a conceptual search pattern for string processing algorithms.

Implemented in UNIX tools like grep, sed, and in popular text editors, regexes grew in popularity and were introduced in the Perl programming language, and later in many others.

JavaScript, among with Perl, is one of the programming languages that have regular expressions support directly built in the language.

## Hard but useful

Regular expressions can appear like absolute nonsense to the beginner, and many times also to the professional developer, if one does not invest the time necessary to understand them.

Cryptic regular expressions are hard to write, hard to read, and hard to maintain/modify.

But sometimes a regular expression is the only sane way to perform some string manipulation, so it’s a very valuable tool in your pocket.

This tutorial aims to introduce you to JavaScript Regular Expressions in a simple way, and give you all the information to read and create regular expressions.

The rule of thumb is that simple regular expressions are simple to read and write, while complex regular expressions can quickly turn into a mess if you don’t deeply grasp the basics.

## How does a Regular Expression look like

In JavaScript, a regular expression is an object, which can be defined in two ways.

The first is by instantiating a new RegExp object using the constructor:

const re1 = new RegExp('hey')


The second is using the regular expression literal form:

const re1 = /hey/


You know that JavaScript has object literals and array literals? It also has regex literals.

In the example above, hey is called the pattern. In the literal form it’s delimited by forward slashes, while with the object constructor, it’s not.

This is the first important difference between the two forms, but we’ll see others later.

## How does it work?

The regular expression we defined as re1 above is a very simple one. It searches the string hey, without any limitation: the string can contain lots of text, and hey in the middle, and the regex is satisfied. It could also contain just hey, and it will be satisfied as well.

That’s pretty simple.

You can test the regex using RegExp.test(String), which returns a boolean:

re1.test('hey')                     //✅
re1.test('blablabla hey blablabla') //✅

re1.test('he')        //❌
re1.test('blablabla') //❌


In the above example we just checked if "hey" satisfies the regular expression pattern stored in re1.

This is the simplest it can be, but you already know lots of concepts about regexes.

## Anchoring

/hey/


matches hey wherever it was put inside the string.

If you want to match strings that start with hey, use the ^ operator:

/^hey/.test('hey')     //✅
/^hey/.test('bla hey') //❌


If you want to match strings that end with hey, use the $ operator: /hey$/.test('hey')     //✅
/hey$/.test('bla hey') //✅ /hey$/.test('hey you') //❌


Combine those, and match strings that exactly match hey, and just that string:

/^hey$/.test('hey') //✅  To match a string that starts with a substring and ends with another, you can use .*, which matches any character repeated 0 or more times: /^hey.*joe$/.test('hey joe')             //✅
/^hey.*joe$/.test('heyjoe') //✅ /^hey.*joe$/.test('hey how are you joe') //✅
/^hey.*joe$/.test('hey joe!') //❌  ## Match items in ranges Instead of matching a particular string, you can choose to match any character in a range, like: /[a-z]/ //a, b, c, ... , x, y, z /[A-Z]/ //A, B, C, ... , X, Y, Z /[a-c]/ //a, b, c /[0-9]/ //0, 1, 2, 3, ... , 8, 9  These regexes match strings that contain at least one of the characters in those ranges: /[a-z]/.test('a') //✅ /[a-z]/.test('1') //❌ /[a-z]/.test('A') //❌ /[a-c]/.test('d') //❌ /[a-c]/.test('dc') //✅  Ranges can be combined: /[A-Za-z0-9]/  /[A-Za-z0-9]/.test('a') //✅ /[A-Za-z0-9]/.test('1') //✅ /[A-Za-z0-9]/.test('A') //✅  ## Matching a range item multiple times You can check if a string contains one an only one character in a range, by starting the regex with ^ and ending with the $ char:

/^[A-Z]$/.test('A') //✅ /^[A-Z]$/.test('AB') //❌
/^[A-Z]$/.test('Ab') //❌ /^[A-Za-z0-9]$/.test('1')  //✅
/^[A-Za-z0-9]$/.test('A1') //❌  ## Negating a pattern The ^ character at the beginning of a pattern anchors it to the beginning of a string. Used inside a range, it negates it, so: /[^A-Za-z0-9]/.test('a') //❌ /[^A-Za-z0-9]/.test('1') //❌ /[^A-Za-z0-9]/.test('A') //❌ /[^A-Za-z0-9]/.test('@') //✅  ## Meta characters • \d matches any digit, equivalent to [0-9] • \D matches any character that’s not a digit, equivalent to [^0-9] • \w matches any alphanumeric character (plus underscore), equivalent to [A-Za-z_0-9] • \W matches any non-alphanumeric character, anything except [^A-Za-z_0-9] • \s matches any whitespace character: spaces, tabs, newlines and Unicode spaces • \S matches any character that’s not a whitespace • \0 matches null • \n matches a newline character • \t matches a tab character • \uXXXX matches a unicode character with code XXXX (requires the u flag) • . matches any character that is not a newline char (e.g. \n) (unless you use the s flag, explained later on) • [^] matches any character, including newline characters. It’s useful on multiline strings ## Regular expressions choices If you want to search one string or another, use the | operator. /hey|ho/.test('hey') //✅ /hey|ho/.test('ho') //✅  ## Quantifiers Say you have this regex, that checks if a string has one digit in it, and nothing else: /^\d$/


You can use the ? quantifier to make it optional, thus requiring zero or one:

/^\d?$/  but what if you want to match multiple digits? You can do it in 4 ways, using +, *, {n} and {n,m}. ### + Match one or more (>=1) items /^\d+$/

/^\d+$/.test('12') //✅ /^\d+$/.test('14')     //✅
/^\d+$/.test('144343') //✅ /^\d+$/.test('')       //❌
/^\d+$/.test('1a') //❌  ### * Match 0 or more (>= 0) items /^\d+$/

/^\d*$/.test('12') //✅ /^\d*$/.test('14')     //✅
/^\d*$/.test('144343') //✅ /^\d*$/.test('')       //✅
/^\d*$/.test('1a') //❌  ### {n} Match exactly n items /^\d{3}$/

/^\d{3}$/.test('123') //✅ /^\d{3}$/.test('12')   //❌
/^\d{3}$/.test('1234') //❌ /^[A-Za-z0-9]{3}$/.test('Abc') //✅


### {n,m}

Match between n and m times:

/^\d{3,5}$/ /^\d{3,5}$/.test('123')    //✅
/^\d{3,5}$/.test('1234') //✅ /^\d{3,5}$/.test('12345')  //✅
/^\d{3,5}$/.test('123456') //❌  m can be omitted to have an open ending to have at least n items: /^\d{3,}$/

/^\d{3,}$/.test('12') //❌ /^\d{3,}$/.test('123')       //✅
/^\d{3,}$/.test('12345') //✅ /^\d{3,}$/.test('123456789') //✅


## Optional items

Following an item with ? makes it optional:

/^\d{3}\w?$/ /^\d{3}\w?$/.test('123')   //✅
/^\d{3}\w?$/.test('123a') //✅ /^\d{3}\w?$/.test('123ab') //❌


## Groups

Using parentheses, you can create groups of characters: (...)

This example matches exactly 3 digits followed by one or more alphanumeric characters:

/^(\d{3})(\w+)$/ /^(\d{3})(\w+)$/.test('123')          //❌
/^(\d{3})(\w+)$/.test('123s') //✅ /^(\d{3})(\w+)$/.test('123something') //✅
/^(\d{3})(\w+)$/.test('1234') //✅  Repetition characters put after a group closing parentheses refer to the whole group: /^(\d{2})+$/

/^(\d{2})+$/.test('12') //✅ /^(\d{2})+$/.test('123')  //❌
/^(\d{2})+$/.test('1234') //✅  ## Capturing Groups So far, we’ve seen how to test strings and check if they contain a certain pattern. A very cool feature of regular expressions is the ability to capture parts of a string, and put them into an array. You can do so using Groups, and in particular Capturing Groups. By default, a Group is a Capturing Group. Now, instead of using RegExp.test(String), which just returns a boolean if the pattern is satisfied, we use one of • String.match(RegExp) • RegExp.exec(String) They are exactly the same, and return an Array with the whole matched string in the first item, then each matched group content. If there is no match, it returns null: '123s'.match(/^(\d{3})(\w+)$/)
//Array [ "123s", "123", "s" ]

//null
'123 s'.match(/^(\d{3})(?:\s)(\w+)$/) //Array [ "123 s", "123", "s" ]  ## Flags You can use the following flags on any regular expression: • g: matches the pattern multiple times • i: makes the regex case insensitive • m: enables multiline mode. In this mode, ^ and $ match the start and end of the whole string. Without this, with multiline strings they match the beginning and end of each line.
• u: enables support for unicode (introduced in ES6/ES2015)
• s: (new in ES2018) short for single line, it causes the . to match new line characters as well

Flags can be combined, and they are added at the end of the string in regex literals:

/hey/ig.test('HEy') //✅


or as the second parameter with RegExp object constructors:

new RegExp('hey', 'ig').test('HEy') //✅


## Inspecting a regex

Given a regex, you can inspect its properties:

• source the pattern string
• multiline true with the m flag
• global true with the g flag
• ignoreCase true with the i flag
• lastIndex

/^(\w{3})$/i.source //"^(\\d{3})(\\w+)$"
/^(\w{3})$/i.multiline //false /^(\w{3})$/i.lastIndex  //0
/^(\w{3})$/i.ignoreCase //true /^(\w{3})$/i.global     //false


## Escaping

These characters are special:

• \
• /
• [ ]
• ( )
• { }
• ?
• +
• *
• |
• .
• ^
• $ They are special because they are control characters that have a meaning in the regular expression pattern, so if you want to use them inside the pattern as matching characters, you need to escape them, by prepending a backslash: /^\\$/
/^\^$/ // /^\^$/.test('^') ✅
/^\$$/ // /^\$$/.test('$') ✅  ## String boundaries \b and \B let you inspect whether a string is at the beginning or at the end of a word: • \b matches a set of characters at the beginning or end of a word • \B matches a set of characters not at the beginning or end of a word Example: 'I saw a bear'.match(/\bbear/) //Array ["bear"] 'I saw a beard'.match(/\bbear/) //Array ["bear"] 'I saw a beard'.match(/\bbear\b/) //null 'cool_bear'.match(/\bbear\b/) //null  ## Replacing using Regular Expressions We already saw how to check if a string contains a pattern. We also saw how to extract parts of a string to an array, matching a pattern. Let’s see how to replace parts of a string based on a pattern. The String object in JavaScript has a replace() method, which can be used without regular expressions to perform a single replacement on a string: "Hello world!".replace('world', 'dog') //Hello dog! "My dog is a good dog!".replace('dog', 'cat') //My cat is a good dog!  This method also accepts a regular expression as argument: "Hello world!".replace(/world/, 'dog') //Hello dog!  Using the g flag is the only way to replace multiple occurrences in a string in vanilla JavaScript: "My dog is a good dog!".replace(/dog/g, 'cat') //My cat is a good cat!  Groups let us do more fancy things, like moving around parts of a string: "Hello, world!".replace(/(\w+), (\w+)!/, '$2: $1!!!') // "world: Hello!!!"  Instead of using a string you can use a function, to do even fancier things. It will receive a number of arguments like the one returned by String.match(RegExp) or RegExp.exec(String), with a number of arguments that depends on the number of groups: "Hello, world!".replace(/(\w+), (\w+)!/, (matchedString, first, second) => { console.log(first); console.log(second); return ${second.toUpperCase()}: ${first}!!! }) //"WORLD: Hello!!!"  ## Greediness Regular expressions are said to be greedy by default. What does it mean? Take this regex /\$(.+)\s?/


It is supposed to extract a dollar amount from a string

/\$(.+)\s?/.exec('This costs$100')[1]
//100


but if we have more words after the number, it freaks off

/\$(.+)\s?/.exec('This costs$100 and it is less than $200')[1] //100 and it is less than$200


Why? Because the regex after the $sign matches any character with .+, and it won’t stop until it reaches the end of the string. Then, it finishes off because \s? makes the ending space optional. To fix this, we need to tell the regex to be lazy, and perform the least amount of matching possible. We can do so using the ? symbol after the quantifier: /\$(.+?)\s/.exec('This costs $100 and it is less than$200')[1]
//100


I removed the ? after \s otherwise it matched only the first number, since the space was optional

So, ? means different things based on its position, because it can be both a quantifier and a lazy mode indicator.

## Lookaheads: match a string depending on what follows it

Use ?= to match a string that’s followed by a specific substring:

/Roger(?=Waters)/

/Roger(?= Waters)/.test('Roger is my dog') //false
/Roger(?= Waters)/.test('Roger is my dog and Roger Waters is a famous musician') //true


?! performs the inverse operation, matching if a string is not followed by a specific substring:

/Roger(?!Waters)/

/Roger(?! Waters)/.test('Roger is my dog') //true
/Roger(?! Waters)/.test('Roger Waters is a famous musician') //false


## Lookbehinds: match a string depending on what precedes it

This is an ES2018 feature.

Lookaheads use the ?= symbol. Lookbehinds use ?<=.

/(?<=Roger) Waters/

/(?<=Roger) Waters/.test('Pink Waters is my dog') //false
/(?<=Roger) Waters/.test('Roger is my dog and Roger Waters is a famous musician') //true


A lookbehind is negated using ?<!:

/(?<!Roger) Waters/

/(?<!Roger) Waters/.test('Pink Waters is my dog') //true
/(?<!Roger) Waters/.test('Roger is my dog and Roger Waters is a famous musician') //false


## Regular Expressions and Unicode

The u flag is mandatory when working with Unicode strings, in particular when you might need to handle characters in astral planes, the ones that are not included in the first 1600 Unicode characters.

Like Emojis, for example, but not just those.

If you don’t add that flag, this simple regex that should match one character will not work, because for JavaScript that emoji is represented internally by 2 characters (see Unicode in JavaScript):

/^.$/.test('a') //✅ /^.$/.test('🐶') //❌
/^.$/u.test('🐶') //✅  So, always use the u flag. Unicode, just like normal characters, handle ranges: /[a-z]/.test('a') //✅ /[1-9]/.test('1') //✅ /[🐶-🦊]/u.test('🐺') //✅ /[🐶-🦊]/u.test('🐛') //❌  JavaScript checks the internal code representation, so 🐶 < 🐺 < 🦊 because \u1F436 < \u1F43A < \u1F98A. Check the full Emoji list to get those codes, and to find out the order (tip: the macOS Emoji picker has some emojis in a mixed order, don’t count on it) ## Unicode property escapes As we saw above, in a regular expression pattern you can use \d to match any digit, \s to match any character that’s not a white space, \w to match any alphanumeric character, and so on. Unicode property escapes is an ES2018 feature that introduces a very cool feature, extending this concept to all Unicode characters introducing \p{} and its negation \P{}. Any unicode character has a set of properties. For example Script determines the language family, ASCII is a boolean that’s true for ASCII characters, and so on. You can put this property in the graph parentheses, and the regex will check for that to be true: /^\p{ASCII}+$/u.test('abc')   //✅
/^\p{ASCII}+$/u.test('ABC@') //✅ /^\p{ASCII}+$/u.test('ABC🙃') //❌


ASCII_Hex_Digit is another boolean property, that checks if the string only contains valid hexadecimal digits:

/^\p{ASCII_Hex_Digit}+$/u.test('0123456789ABCDEF') //✅ /^\p{ASCII_Hex_Digit}+$/u.test('h')                //❌


There are many other boolean properties, which you just check by adding their name in the graph parentheses, including Uppercase, Lowercase, White_Space, Alphabetic, Emoji and more:

/^\p{Lowercase}$/u.test('h') //✅ /^\p{Uppercase}$/u.test('H') //✅

/^\p{Emoji}+$/u.test('H') //❌ /^\p{Emoji}+$/u.test('🙃🙃') //✅


In addition to those binary properties, you can check any of the unicode character properties to match a specific value. In this example, I check if the string is written in the greek or latin alphabet:

/^\p{Script=Greek}+$/u.test('ελληνικά') //✅ /^\p{Script=Latin}+$/u.test('hey') //✅


Read more about all the properties you can use directly on the TC39 proposal.

## Examples

### Extract a number from a string

Supposing a string has only one number you need to extract, /\d+/ should do it:

'Test 123123329'.match(/\d+/)
// Array [ "123123329" ]


### Match an email address

A simplistic approach is to check non-space characters before and after the @ sign, using \S:

/(\S+)@(\S+)\.(\S+)/

/(\S+)@(\S+)\.(\S+)/.exec('copesc@gmail.com')
//["copesc@gmail.com", "copesc", "gmail", "com"]


This is a simplistic example however, as many invalid emails are still satisfied by this regex.

### Capture text between double quotes

Suppose you have a string that contains something in double quotes, and you want to extract that content.

The best way to do so is by using a capturing group, because we know the match starts and ends with ", and we can easily target it, but we also want to remove those quotes from our result.

We’ll find what we need in result[1]:

const hello = 'Hello "nice flower"'
const result = /"([^']*)"/.exec(hello)
//Array [ "\"nice flower\"", "nice flower" ]


### Get the content inside an HTML tag

For example get the content inside a span tag, allowing any number of arguments inside the tag:

/<span\b[^>]*>(.*?)<\/span>/

/<span\b[^>]*>(.*?)<\/span>/.exec('test')
// null
/<span\b[^>]*>(.*?)<\/span>/.exec('<span>test</span>')
// ["<span>test</span>", "test"]
/<span\b[^>]*>(.*?)<\/span>/.exec('<span class="x">test</span>')
// ["<span class="x">test</span>", "test"]


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