Extract Emails/URLs Tool
Extract email addresses and URLs from text. Useful for parsing contact information, finding links in content, or cleaning up data from various sources.
Text Input
Extraction Options
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Paste text to automatically extract emails and URLs
About Extract Emails/URLs Tool
An email and URL extraction tool is a data parsing utility that automatically identifies and extracts email addresses and web URLs from any text input using pattern recognition. This tool efficiently processes large amounts of text to isolate contact information and web links, making data collection and analysis much more efficient.
Why use a Extract Emails/URLs Tool?
Using an email and URL extraction tool saves hours of manual searching and copying when processing documents, web content, or data files. It ensures accuracy by catching all instances that might be missed by manual review, eliminates human error in transcription, and significantly speeds up data collection for marketing, research, or analysis purposes.
Who is it for?
This tool is invaluable for digital marketers building contact databases, researchers collecting online resources, data analysts processing web content, sales teams gathering lead information, content managers auditing website links, and anyone who needs to efficiently extract contact details or URLs from large text documents.
How to use the tool
Paste your text containing emails and URLs into the input field
Choose what to extract; results update automatically as you type or paste
Review the separated lists of extracted emails and URLs, and pick a bullet-list, comma-separated, or JSON output format
Copy the emails, the URLs, or everything at once
Use the extracted data for your marketing, research, or analysis projects
Frequently Asked Questions
How do I extract emails and URLs from text?
Paste any text (an article, an HTML source, a chat log, a document export) and the tool finds and extracts email addresses and URLs (http://, https://, ftp://, and www. links, which are returned with https:// added). Results update as you type. Two checkboxes control the output: Remove duplicates (on by default) and Sort alphabetically (on by default). It does not extract phone numbers or IP addresses. Runs entirely in your browser via regex — your text never leaves the device. Useful for: lead extraction from scraped content, link auditing, parsing exports, data cleaning.
Is my text sent to a server?
No — extraction runs entirely in your browser via JavaScript regex. Your text never reaches a server, never gets logged. Verify in DevTools' Network tab: zero HTTP requests during extraction. Safe for sensitive content (private email correspondence, internal documents, customer data exports).
How accurate is the email extraction?
Reasonable for common cases. The regex catches the vast majority of standard email addresses (`name@domain.tld`). What it misses or mishandles: (1) **Edge-case valid emails per RFC 5322**: `"weird name"@domain.com`, IP-literal domains (`name@[192.168.1.1]`), addresses with comments — these are technically valid but extremely rare. (2) **False positives**: text that looks email-like but isn't (e.g., `version-2@1.0` in changelogs). For validation that an extracted email is deliverable, use [Email Validator](/tools/email-validator/) — separate concern from extraction.
Why is email matching with regex notoriously hard?
RFC 5322 (the email format spec) is far more permissive than people expect. Valid edge cases include: quoted local-parts with spaces, IP-literal domains, addresses with comments, internationalized email (Unicode local-parts and domains — IDN). The 'official' RFC 5322 regex is several hundred characters long and still doesn't catch everything. Most practical regex (including this tool's) targets the common case — ASCII letters, digits and `._%+-` before the @ and a dotted domain after it — which covers most real emails. Internationalized addresses with non-ASCII characters are not matched. For mission-critical validation, validate the format AND send a confirmation email (deliverability is the only real test).
What URL formats does it extract?
Standard schemes: `http://`, `https://`, `ftp://` (any letter case), plus links starting with `www.`. Each URL is taken up to the next whitespace, angle bracket or quote, so the path, query and fragment are kept, and trailing punctuation or an unbalanced closing bracket is trimmed. Doesn't extract: `mailto:`, `tel:` or custom schemes, 'bare' domains without a scheme or `www.` (`example.com`), or relative URLs (`/path/to/page`). For URL encoding and decoding, use [URL Encoder/Decoder](/tools/url-encoder-decoder/).
Can I deduplicate the extracted items?
Yes — the Remove duplicates checkbox (on by default) lists each identical email or URL once. Matching is exact and case-sensitive, so `User@Example.com` and `user@example.com` count as different items. For more complex deduplication (e.g., normalizing URL query parameter order, stripping trailing slashes), use [Remove Duplicate Lines](/tools/remove-duplicate-lines/) on the extracted output.
Can I use this for scraping?
For extracting links from text you already have (a downloaded page's source, an email body, an exported document): yes. For scraping websites: this isn't a scraper — it doesn't fetch URLs. To scrape, fetch the pages with your own tooling, then paste the HTML into this tool to extract links. For ethical and legal scraping: respect robots.txt (use [Robots.txt Tester](/tools/robots-txt-tester/)), rate-limit your requests, only scrape public data, comply with the target site's terms of service.
What about phone numbers and other patterns?
This tool does not extract phone numbers or IP addresses. Phone extraction is significantly harder than emails or URLs. Reasons: (1) phone formats vary by country (no universal format). (2) Numbers that aren't phones appear in text (dates, IDs, ZIP codes, currency amounts). (3) International prefixes (+1, +44, +91) are optional. For accurate phone parsing you need a library that knows per-country formats. For pure email + URL extraction (the common case), this tool is sufficient.
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