Extract Emails
Identify and extract all email addresses from text or URL
What Is the Extract Emails Tool?
The Extract Emails tool scans a block of text or a webpage and pulls out every email address it finds, returning them as a clean list in the output. Paste in any text that contains email addresses, or enter a webpage URL to have the tool fetch and scan the page directly. It is useful for collecting contact addresses from a document, an email thread, a copied web page, or any other source where email addresses are mixed in with other content and you need them listed separately.
Picking email addresses out of a long block of text one by one is surprisingly tedious, and easy to get wrong if an address is formatted slightly differently from the others. The tool catches all of them in one pass.
How to Use This Tool
- Paste text containing email addresses into the input area above, or enter a webpage URL to have the tool scan the page's content directly.
- No settings needed. The tool identifies all valid email address patterns in the input automatically.
- Click Extract Emails and every email address found in the content appears in the output area, one per line.
- Copy the result using the Copy button, or select and copy manually. Use Clear to reset the input.
When Would You Use This?
Pulling contact addresses out of a copied email thread, a customer message log, or a document where email addresses are scattered throughout the text and you need them gathered into a usable list.
Collecting email addresses from a webpage, such as a directory, a staff listing, or a contacts page, by entering the URL and letting the tool extract whatever addresses are visible in the page content.
Processing a batch of exported or copied text from a CRM, a form submission export, or a data file that contains email addresses mixed in with other fields, before passing the clean address list to another tool or import process.
Examples
Extracting from pasted text
Input : Contact Alice at alice@example.com or Bob at bob@company.org for more information. Support: help@tools.net
Output : alice@example.com
bob@company.org
help@tools.net
Extracting from a webpage
Input : https://example.com/contact
Output (sample): info@example.com
support@example.com(All email addresses found in the page content are listed)
Extracting from a mixed document
Input : Team: John (john@team.io), Sarah (sarah@team.io). For billing: billing@accounts.co
Output : john@team.io
sarah@team.io
billing@accounts.co
Frequently Asked Questions
How do I extract email addresses from text?
Paste your text into the input area and click Extract Emails. The tool scans for valid email address patterns and returns them as a list in the output.
Can I extract emails from a webpage?
Yes. Enter the webpage URL into the input and click the button. The tool fetches the visible content of the page and extracts any email addresses it finds there.
Does it work on mailto
links?:If the tool fetches a page, it may detect email addresses from mailto: links in the HTML as well as plain text addresses visible in the page content. For pasted text, it looks for standard email address patterns.
How does it identify a valid email address?
The tool uses pattern matching to find strings that follow the standard email format: characters before an @ sign, followed by a domain name with a valid extension. It catches most common formats, though unusual or obfuscated addresses (like user [at] domain [dot] com) typically need to be in standard form to be detected.
Can I use this to scrape email addresses from websites?
The tool can extract addresses that are publicly visible in page content. Keep in mind that scraping contact details from websites may be subject to the site's terms of service and applicable privacy laws depending on your location and intended use.
How do I extract emails in Python?
Use the re module with a regex pattern: import re; re.findall(r'[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+.[a-zA-Z]{2,}', text). For a quick manual extraction without code, paste into this tool.
Does it remove duplicate email addresses?
This depends on the implementation. If the same address appears multiple times, it may appear multiple times in the output. Run the result through a remove duplicate lines tool if you need a unique list.
Will it find email addresses that are split across lines or formatted with spaces?
No. The tool looks for standard connected email address patterns. Addresses that have been deliberately broken up or obfuscated to avoid automated detection will not be picked up.