Email Extractor

Paste a URL, HTML, or text into the URL or paste text/HTML field above and hit Extract emails. The tool runs a regex sweep, dedupes case-insensitively, groups by domain, and skips placeholder addresses like [email protected]. No signup, no daily quota, no per-lookup credit cost, no install. For URL fetches, the tool downloads page HTML server-side, so you catch addresses inside mailto: links and data- attributes that visible text would miss. Most contact pages return between 3 and 12 addresses on the first pass. For sites with hundreds of pages, run the sitemap-checker first to find every URL worth checking, then batch through them. Use the phone-number-extractor on the same source to capture both contact channels in one session.

An email extractor scans text for strings matching the email format ([email protected]) using a regex pattern, then collects every match. After collection, it normalizes each address to lowercase so [email protected] and [email protected] count as the same mailbox, removes duplicates, drops placeholder domains, and groups results by domain. Output appears in under a second for inputs under 500KB. The regex catches subdomains, plus-addressing (user+tag@), and longer TLDs like .consulting. It will not catch obfuscated formats like name [at] domain [dot] com, which exist specifically to defeat regex extraction.

The right tool depends on the job. For pulling emails out of a page or text blob you already have, a regex extractor like this one is fastest because there's no API quota, no guessing, and no signup. For finding emails that aren't published (you have a name and want their address), use Hunter.io, Snov.io, Apollo.io, Voila Norbert, or FindThatLead. Those guess email patterns from a domain and verify with SMTP pings. They charge per lookup and cap free plans at 25 to 50 credits per month. Use both in tandem. Pair with the phone-number-extractor to capture both channels in one pass.

Gmail-specific extractors that pull addresses from your inbox usually run on a freemium model. Tools like BitRecover offer a free demo limited to a few messages, then charge for unlimited extraction. This tool is different. It extracts emails from any text, HTML, or URL, including Gmail exports. To extract from your inbox, export messages to MBOX or HTML using Google Takeout (free), then paste the export into the URL or paste text/HTML field. The regex catches every address including From, To, Cc, and signatures. No message limit, no install required.

Scraping emails for unsolicited commercial outreach is illegal in most jurisdictions. GDPR (EU), CAN-SPAM (US), CASL (Canada), and PECR (UK) all require consent or a clear lawful basis to send marketing emails to scraped addresses. Penalties run from $43,792 per violation under CAN-SPAM to 4% of global revenue under GDPR. Even where it's not explicitly illegal, scraping is widely considered unethical. Extracting emails from a page is generally legal. The legality lives in what you do with the list afterwards. Cold marketing to scraped addresses without a lawful basis is not.

For finding emails not published, Hunter.io leads on free domain searches with 25 lookups per month and source-cited results. Snov.io offers 50 credits per month covering both finding and verification, plus a LinkedIn extension. For pulling emails out of pages, HTML, or text you already have, a regex extractor is faster than any finder because there's no quota and no guessing. This tool extracts unlimited addresses from any source you paste, dedupes case-insensitively, groups by domain, and skips placeholders. Free with no daily limit, no signup, and no install.

ChatGPT can read pasted email content and summarize, classify, draft replies, or extract structured data including addresses. It cannot extract emails from a URL on its own without a browsing tool, and even with browsing it's slower and less reliable than a dedicated regex extractor for bulk extraction. For pulling addresses out of an inbox export or contact page, this extractor returns results in under a second with consistent dedupe and domain grouping. ChatGPT might miss addresses inside mailto: href attributes or invent ones it thinks should exist. For extraction, use this tool. For interpretation, ChatGPT is a better fit.

In Gmail, check the box at the top of the message list to select every email on the current page. A banner appears offering to "Select all 1,000 conversations in [folder]." Click it to extend the selection. Then click the trash icon and confirm the bulk action. The full set moves to Trash and deletes permanently after 30 days. To target specific senders, search first using from:[email protected], then bulk select. This tool helps on the front end. Paste an inbox export to find every distinct sender domain, then use those domains as Gmail search queries to clean up.

An email extractor pulls addresses from a source you provide (URL, HTML, or text blob). It returns every address that literally exists in that source. No guessing, no verification, no quota. An email finder takes a person's name and a company domain, then guesses likely addresses (firstname.lastname@) and verifies them by pinging the recipient mail server. Finders charge per lookup and cap free plans at 25 to 50 credits monthly. The two are complementary. Most outreach workflows use both. Run this extractor on a contact page first. If your target isn't listed, use a finder to guess by pattern.

Yes, but you need to convert the PDF to text first. PDFs store text in a layered format that regex can't read directly. Open the PDF, select all (Cmd+A or Ctrl+A), copy, and paste into the URL or paste text/HTML field. The extractor runs the regex against the pasted text and returns every email. For scanned PDFs (image-based), you'll need OCR first. Free options include Adobe Acrobat's built-in tool, Google Docs (upload PDF, open with Google Docs), or Tesseract. After OCR, paste the resulting text. For long PDFs over 100 pages, paste in chunks under 500KB.

Three common causes. First, the source has no email addresses (some pages use only contact forms). Second, addresses are obfuscated as name [at] domain [dot] com or rendered with JavaScript that the regex doesn't see. Third, you pasted visible text instead of HTML source, missing addresses inside mailto: href attributes. Fix: right-click the page, choose View Page Source (or use the Fetch URL button), and paste the full HTML. Pair with the website-metadata-checker to confirm the page returns 200 and isn't blocked.

No, and no extractor should. LinkedIn's terms prohibit scraping, and the platform actively detects and blocks it. The 2022 hiQ Labs vs LinkedIn case left the legal status ambiguous, but enforcement is aggressive: rate limits, account suspensions, and IP bans within hours. For legitimate LinkedIn outreach, use Sales Navigator's built-in messaging or InMail, or a partner tool like Apollo that has API access. This extractor is built for public webpages, contact pages, HTML exports, and pasted text. Use it on company sites, conference attendee lists, and your own data exports. Keep LinkedIn outreach on LinkedIn.

For correctly formatted addresses in plain text or HTML source, regex extraction is 99%+ accurate. The standard pattern catches every valid email format including subdomains, plus-addressing ([email protected]), longer TLDs (.consulting, .engineer), and international domains. Where it falls short: obfuscated emails (name [at] domain [dot] com), JavaScript-rendered addresses, and emails inside images or PDFs. To improve hit rate, paste HTML source rather than visible text and use the Fetch URL button to grab static source server-side. The dedupe pass also reduces noise. Without case normalization, CRM exports often include 30 to 40% duplicate entries.

Yes. Open the CSV, copy the column or full file, and paste into the URL or paste text/HTML field. The regex finds every address regardless of which column it appears in. For Excel files, copy the cells and paste. The extractor doesn't care about delimiters or formatting. For very large files (over 100,000 rows), split into chunks under 500KB and run multiple passes. The case-insensitive dedupe handles inconsistent capitalization across exports. Pair with the url-extractor on the same paste to capture website URLs alongside emails.

The tool accepts three input modes through one URL or paste text/HTML field. First, paste plain text from any source: emails, transcripts, signatures, exports. Second, paste HTML source (View Page Source then copy) so the extractor catches addresses inside mailto: links and data- attributes. Third, click Fetch URL above the textarea and enter a webpage address. The tool downloads the HTML server-side and runs extraction against the source. All three modes use the same regex and produce the same output: deduped list grouped by domain, with placeholders filtered. There's no file upload because pasting works for inputs up to several megabytes.