Extract email addresses from text

How the extraction works

The tool scans your text for the pattern name@domain.extension, accepting dots, hyphens, underscores and the + sign in the part before the @ sign (so aliases are caught too, like john+news@gmail.com). Accented letters and scripts other than ours are accepted as well, on both sides of the @ sign: andrea@città.it is a real address and is picked up whole.

The full stop that ends a sentence stays out of the address, and something that cannot be an address, like john..smith@site.com with two dots in a row, is not picked up, not even in pieces. A user name and password written inside a link, as in https://admin:secret@intranet.example.com, do not become an address either.

Addresses are compared without looking at capitals, because in practice John@Site.com and john@site.com reach the same mailbox: the duplicate is counted and removed. The list keeps the form of the first time, in the order the addresses appear in the text.

What it's for (and what it isn't)

It's perfect for cleaning up messy exports, recovering contacts from old email threads, meeting notes or lists pasted from PDFs and spreadsheets, and getting a ready-made list to drop into the BCC field or your CRM in seconds: the «separated by semicolons» format is the one Outlook wants among the recipients. Keep in mind, though, that sending marketing messages requires the recipients' consent: scraping addresses from web pages for unsolicited bulk email violates privacy laws such as the GDPR and CAN-SPAM, and it's a fast track to the spam folder.

The same text, five things to look for

Above the box there are five buttons, and the same text can be run through the other kinds too, with the same rules: Link extractor, Extract hashtags, Extract mentions and Extract phone numbers.

The same text with the same button gives the same list on all five pages.