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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Extracted results will appear here
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
Click the extract button to scan and identify all email addresses and URLs
Review the separated lists of extracted emails and URLs
Copy individual items or export the entire list as needed
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, URLs (http://, https://, ftp://), and optionally other patterns (phone numbers, IP addresses). Deduplication is automatic. Output: cleaned list, sorted or in-order. 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 — `[\w.-]+@[\w.-]+\.\w+` — which catches 99%+ of real emails. 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://`. Optionally: `mailto:`, `tel:`, custom schemes (configurable). Extracts: protocol, host, port, path, query, fragment. Handles: URL-encoded characters, internationalized domain names (IDN) in Punycode form, IPv4 and IPv6 hosts. Doesn't extract: 'bare' domains without a scheme (`example.com`) — unless you enable the bare-domain mode (which can produce false positives, since many strings look like domains). Doesn't extract: relative URLs (`/path/to/page`) without context. For full URL parsing and validation, use [URL Encoder/Decoder](/tools/url-encoder-decoder/).
Can I deduplicate the extracted items?
Yes — by default, the tool removes duplicates from the output (same email or URL appearing multiple times = listed once). Configurable: case-sensitive vs case-insensitive matching. Emails are typically case-insensitive (`User@Example.com` = `user@example.com`); URLs can be case-sensitive for paths but case-insensitive for the scheme and host. The tool handles these conventions. 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: use a scraping tool (Scrapy, Puppeteer, Playwright, BeautifulSoup) to fetch pages, 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?
Phone number extraction is offered in many similar tools but 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. The tool may include basic phone-number extraction (matching common US/international formats). For accurate phone parsing, use libphonenumber (Google's library) which knows per-country formats. For pure email + URL extraction (the common case), this tool is sufficient.
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