Email and Link Extractor

Extract emails, URLs, numbers, hashtags and IP addresses from any text — free and instant.

About

About the Email and Link Extractor

Scans pasted text and pulls out emails, links, domains, numbers, hashtags or IP addresses.

Marketers use it to pull every email address out of a pasted list, while researchers use it to collect every link mentioned in a document. It's one of many free text tools on Toolapt, and like every tool here, it's free to use with no sign-up and no limit on how many times you run it.

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Guide

Using the Email and Link Extractor

  1. 1

    Step 1

    Paste the text you want to search into the Input box.

  2. 2

    Step 2

    Choose what to find — emails, links, domains, numbers, hashtags or IP addresses.

  3. 3

    Step 3

    Click "Extract" to pull out every match.

  4. 4

    Step 4

    Turn on "Remove duplicates" or "Sort results" if you want, then copy the list.

  • Extracts six different types of data: emails, links, domains, numbers, hashtags/mentions and IPv4 addresses
  • Optionally removes duplicate matches automatically
  • Optionally sorts the extracted list
  • Can separate results with commas instead of one per line
  • Works entirely in your browser — no installs and no sign-up
  • Free to use, with no limit on how many times you run it
  • Fully responsive, so it works just as well on a phone as on a desktop

Marketers

Marketers use the Email and Link Extractor for pulling every email address out of a pasted list or export.

Researchers and journalists

Researchers and journalists use the Email and Link Extractor for collecting every link mentioned in a document or article.

Developers

Developers use the Email and Link Extractor for pulling IP addresses or numbers out of a log file quickly.

Social media managers

Social media managers use the Email and Link Extractor for collecting every hashtag or @mention from a batch of posts.

Extract something else

Examples

Email and Link Extractor examples

3 worked examples

01

Links with a repeat

Set Find to Links and paste "Read the guide at https://toolapt.com/guide, and share https://toolapt.com/guide with your team" with Remove duplicates on, to get just one result: https://toolapt.com/guide.

02

Hashtags and mentions

Set Find to Hashtags/@mentions and paste "Loving the #sunset today, thanks @toolapt for the tip! #sunset" to get 2 unique tags: #sunset and @toolapt, with the repeated #sunset merged.

03

IPv4 addresses in a log

Set Find to IPv4 addresses and paste "Ping received from 192.168.1.10 and 10.0.0.5" to get both 192.168.1.10 and 10.0.0.5 listed as matches.

FAQ

Frequently asked questions

Quick answers to common questions about the Email and Link Extractor.

What does the Email and Link Extractor do?

It scans pasted text and pulls out every email address, link, domain, number, hashtag/mention or IP address it finds, depending on what you choose.

Is the Email and Link Extractor free to use?

Yes. It's free, with no sign-up, no watermark and no limit on how many times you use it.

Is my input safe when I use this tool?

Yes. The text you paste is processed entirely on your own device — nothing is sent to a server.

Can I extract more than one type at once?

Each run extracts one type at a time — switch the "Find" dropdown and click Extract again to pull out a different type from the same text.

What does "Remove duplicates" do?

It keeps only the first occurrence of each matched value, so a repeated email or link only appears once in the result.

Does it validate the emails or links it finds?

It matches text that looks like an email/link/etc. by pattern; it doesn't verify that an email address actually exists or that a link is reachable.

Can I use the Email and Link Extractor on my phone?

Yes. The page is fully responsive and works on mobile, tablet and desktop browsers alike.

Does the Email and Link Extractor have any limitations?

Extremely unusual or malformed formatting in the source text can occasionally cause a match to be missed or split — it's built for everyday, naturally written text.

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