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Regex Helper – Extract Emails, Phones & URLs from Text

Try for free

Run named regular expressions over a list of strings or an upstream Actor's dataset. Each row holds the original text, every match with its character offsets and capture groups, and a match count. Built-in email, phone, LinkedIn and URL patterns for contact extraction. Python re syntax.

Pricing

from $0.01 / actor invocation

Rating

0.0

(0)

Developer

R.L.

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Automation

Developer tools

You can access the Regex Helper – Extract Emails, Phones & URLs from Text programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "strings": [
12        "John Doe, john.doe@example.com, +1 (415) 555-0132, https://example.com",
13        "Reach Jane at jane_smith@work.co.uk or call 020 7946 0958.",
14        "No contact details in this line."
15    ],
16    "patterns": [
17        {
18            "name": "email",
19            "regex": "[\\w.+-]+@[\\w-]+\\.[\\w.-]+",
20            "flags": "i"
21        },
22        {
23            "name": "phone",
24            "regex": "\\+?\\d[\\d\\s().-]{7,}\\d"
25        },
26        {
27            "name": "url",
28            "regex": "https?://[^\\s)\\]]+"
29        }
30    ]
31};
32
33// Run the Actor and wait for it to finish
34const run = await client.actor("rl1987/regex-helper").call(input);
35
36// Fetch and print Actor results from the run's dataset (if any)
37console.log('Results from dataset');
38console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
39const { items } = await client.dataset(run.defaultDatasetId).listItems();
40items.forEach((item) => {
41    console.dir(item);
42});
43
44// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Regex Helper – Extract Emails, Phones & URLs in Bulk API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Regex Helper – Extract Emails, Phones & URLs from Text API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Regex Helper – Extract Emails, Phones & URLs from Text API in Python

Regex Helper – Extract Emails, Phones & URLs from Text API through CLI

Regex Helper – Extract Emails, Phones & URLs from Text OpenAPI definition

Regex Helper – Extract Emails, Phones & URLs from Text API

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126

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