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Email Extractor

Pull every email address out of any text or page source.

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Quick Tool Overview

The Email Extractor finds every email address in a block of text — a forwarded thread, a page source, a support export — de-duplicates them and can group them by domain. Obfuscated forms such as "name at example dot com" are matched too, and nothing leaves your browser.

What it does
Extracts every email address from a text
You give it
A thread, export, page source or document
You get back
A clean, de-duplicated address list
Best for
Auditing your own exports and threads
Text Tools Free, unlimited use No sign-up Runs in your browser

About the Email Extractor

Email addresses hide in places that make them awkward to collect by hand: a signature block at the bottom of a hundred forwarded messages, a page source, a support export, a PDF that was pasted into a document.

This finds them all in one pass, using a pattern that follows the practical rules real addresses obey — plus-addressing, subdomains, dots and hyphens in the local part, and the long modern top-level domains. Duplicates are removed, results can be sorted or grouped by domain, and obfuscated forms such as "name at example dot com" are matched too. Everything happens in your browser, which is the only responsible way to handle a list of real contact details.

Key features of the Email Extractor

Matches real address forms

Plus-addressing, subdomains, dots and hyphens in the local part, and the long modern top-level domains.

Obfuscated forms caught

"name at example dot com" and the bracketed variants, which is how addresses get written to dodge scrapers.

Grouped by domain

Which turns a long list into an immediately readable summary of who is involved.

CSV output

Address and domain in separate columns, ready for a spreadsheet.

Nothing is uploaded

The only responsible way to handle a list of real contact details.

How to use the Email Extractor

  1. 1

    Paste your text

    A thread, an export, a page source or a pasted document.

  2. 2

    Choose the matching rules

    Include obfuscated forms, and decide whether to keep duplicates.

  3. 3

    Group or sort the results

    By domain, alphabetically, or in the order they appeared.

  4. 4

    Copy or download

    One per line, comma separated, or as CSV with the domain in its own column.

Frequently asked questions

Extracting addresses from a document you already have is one thing; using them is another. Under GDPR and similar laws you need a lawful basis to email someone, and scraping addresses to send unsolicited mail is not one. Use this on your own data.

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