Extract email addresses, URLs, and relative links from raw text or files. Deduplicate lists, strip UTM tracking parameters, group by domain, and export as TXT, CSV, or JSON.
Paste text or open a text file.
A recognized format doesn't mean the address exists or accepts messages.
Unique domains: 0. Top domains: No domains yet
| Result | Occurrences | Context | Actions | |
|---|---|---|---|---|
| No results found. | ||||
These options only affect the output.
The corporate/personal/disposable categories are heuristics based on local domain lists. They don't verify address existence, ownership, or deliverability.
Fill in the values, paste your text, or upload the file this tool works with.
Most tools update live as you type; a few use a single button. Either way, the result appears right on this page.
Copy, download, or share what the tool produces — you're always in control of the output.
The Email & URL Extractor scans raw text and local files to capture email addresses, web URLs, and relative links, enabling deduplication, tracking parameter cleanup, and multi-format exports.
Learn how pattern matching scans text and HTML markup, how to strip UTM tracking parameters, and how to export structured data grouped by domain.
The tool detects standard RFC email addresses, mailto: links (stripping query parameters), full http/https URLs, www links, and bare domains. It also extracts relative links from HTML attributes (href, src, action) and common anti-spam obfuscated email formats (such as [at] and [dot]).
By default, extracted items are deduplicated to produce a clean list of unique values. Enabling tracking parameter removal automatically strips utm_source, utm_campaign, fbclid, gclid, and other analytics tokens from URLs while preserving the core destination address. Email addresses can also be normalized to lowercase.
Extracted emails are automatically categorized into personal providers (Gmail, Outlook, Yahoo, Proton, etc.), disposable domains (Mailinator, 10minutemail, etc.), or corporate domains. For URLs, the tool calculates domain frequency and identifies internal vs. external links, anchor fragments (#), and tracking tags.
You can copy results separated by newlines, commas, or semicolons, group email addresses into domain blocks, or export complete datasets as TXT, CSV, or JSON. CSV and JSON exports include line numbers, column positions, surrounding context snippets, and frequency counts.
Pasting a log containing 'sales [at] company.com', 'support@company.com', and 'https://company.com/page?utm_source=app&gclid=123' automatically deobfuscates the first email and removes the query tracking parameters from the URL.
sales [at] company.com + https://site.com/?utm_source=app -> sales@company.com + https://site.com/All text analysis and file reading (TXT, CSV, HTML, JSON, XML, LOG) happens entirely within your browser. No text content, email addresses, or URLs are ever transmitted to any external server.
The tool recognizes common text patterns used to protect email addresses from scrapers, such as [at], (at), [dot], and (dot), reconstructing the clean address into the standard name@domain.com format.
Yes. When tracking removal is enabled, the extractor automatically strips parameters such as utm_source, utm_medium, utm_campaign, fbclid, gclid, and msclkid while preserving the base URL.
No. The tool performs purely syntactic pattern matching locally in your browser. It does not send network requests to check mailbox existence or verify webpage status.
Items with complete syntax (standard emails with @, URLs with http/https protocols, and mailto links) are marked as valid. Bare domains without protocols and obfuscated emails are marked as possible matches because they rely on heuristic detection.
The tool matches domains against a curated list of public webmail providers (Gmail, Outlook, Yahoo, etc.) and disposable inbox services. Any unlisted domain is classified as corporate.
You can drop or select local text files in TXT, CSV, HTML, JSON, XML, and LOG formats. Files are read directly in browser memory without being uploaded.
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