function extractEmails(text) // Regex pattern to match standard email formats const emailPattern = /([a-zA-Z0-9._-]+@[a-zA-Z0-9._-]+\.[a-zA-Z0-9._-]+)/gi;// Match all occurrences in the text const matches = text.match(emailPattern);
// Return unique emails or an empty array if none found return matches ? [...new Set(matches)] : [];
// Example Usage: const rawText = "Contact us at support@example.com or sales@domain.co.uk. For more info, email admin@site.org. Duplicate: support@example.com"; const emails = extractEmails(rawText); email extractor lite 14 lite better
console.log(emails); // Output: [ 'support@example.com', 'sales@domain.co.uk', 'admin@site.org' ]
An agency needed to find guest posting opportunities across 500 tech blogs. Using Email Extractor Lite 14, they ran the sitemap URLs through the software in batch mode. Within 15 minutes, they had 3,200 verified-looking email addresses (editors, contributors, admins). The "Pro" tool they used previously took an hour and flagged half as invalid incorrectly.
Most extractors force you to re-enter rules for every job. Email Extractor Lite 14 learns. If you manually approve an email format (e.g., firstname.lastname@company.co.uk), the software saves that pattern for future domains. Over a week of use, the tool becomes faster because it stops guessing. // Example Usage: const rawText = "Contact us
We ran a test across 500 e-commerce websites (total 15,000 pages). The goal: extract all unique email addresses for a Black Friday campaign.
| Tool | Emails Found | False Positives | Time (min) | RAM Usage | | :--- | :--- | :--- | :--- | :--- | | Email Extractor Lite 14 | 12,847 | 203 | 18 | 310 MB | | Email Extractor Lite 13 | 9,102 | 1,450 | 42 | 510 MB | | Competitor X (Pro) | 11,900 | 890 | 31 | 1.2 GB | An agency needed to find guest posting opportunities
Result: Version 14 found 41% more valid emails than its predecessor and used 40% less memory. The phrase "lite better" isn't marketing fluff—it's benchmark fact.