Skip to content

Free Email Extractor

URL or textevery email on itUpdated August 26, 2026

Enter a website URL and this free email extractor fetches the page, pulls every email address out of the HTML, removes duplicates, and hands you a list you can copy or download as a CSV. Paste raw text or HTML instead and the same scan runs entirely in your browser. No signup, no extension.

Verify and enrich an extracted list in bulk with Cleanlist AI

Verify the addresses before you send

Cleanlist AI verifies every extracted address, then adds the name, title, company and phone number behind it.

The Free plan is $0 with 50 credits a month and 5 searches. Every new workspace can also try Pro free for 14 days.

Search
Free
Verified work email
1 credit
Phone number
10 credits

98% verified work emails and 85% phone numbers on our 500-lead benchmark, across 25+ providers.

A demo of Clu, the Cleanlist AI agent, doing this for a whole list. Asked: Verify every email in Series B sales leaders before Monday's send. Clu runs the tools, asks for confirmation before spending credits (Validate 480 emails on Series B sales leaders, 240 credits), fills the list row by row and reports: 480 checked: 431 verified, 33 risky, 16 invalid. Want me to drop the invalid ones before Monday?

See how Cleanlist AI verifies every email

10,000+ users, from founders to full sales teams

  • Switched fromZoomInfo
  • Case study
  • HackerOneSwitched fromApollo
  • Switched fromClay
  • Case study
  • Sumo LogicSwitched fromClay
  • Switched fromApollo
  • Case study
  • Switched fromZoomInfo
  • Switched fromZoomInfo

The Cleanlist AI Chrome extension finds the verified email and phone number for the LinkedIn profile you have open, in the same tab.

Add Cleanlist AI to Chrome

Extract emails from a website

To extract emails from a website, enter the page URL above. Cleanlist AI fetches that page, scans the returned HTML for every address including mailto: links, removes duplicates, and gives you a list to copy or download as a CSV. A server-side fetch only sees server-rendered HTML, so addresses added by JavaScript need the paste mode instead.

How do I extract emails from a website?

Paste the page's URL into the tool above and press extract. Cleanlist AI fetches that single page from our server, scans the HTML it returns for every string shaped like an email address, collapses duplicates, and returns the list with a copy button and a CSV download. Nothing is installed and no browser extension is involved, so it works the same on a phone as on a laptop.

The URL you give it matters more than most people expect. Company home pages rarely publish addresses; contact, about, team, staff directory, press and imprint pages almost always do. If a scan of the home page comes back empty, try /contact or /about before assuming the site hides its addresses.

One page per run is the free scope. Crawling a whole domain, following every internal link across hundreds of pages, is a different and much heavier job that this tool does not do.

What is an email extractor?

An email extractor is a tool that reads a body of content and pulls out every email address inside it. The content can be a live web page, in which case the tool fetches the page first, or text you already have, such as an exported thread, a spreadsheet column, or a block of HTML.

Underneath, an extractor is pattern matching. It looks for the shape of an address, a local part, an @, and a domain with a valid top-level suffix, then normalizes and de-duplicates what it finds. It makes no judgement about whether an address is current, monitored, or safe to email.

That is the distinction that costs people money. An extractor answers the question of what addresses are published on this page. An email verifier answers the separate question of whether a given address can actually receive mail.

What is the difference between an email extractor and an email scraper?

In practice the two words describe the same job and are used interchangeably. Where a distinction is drawn, it is usually about scope.

Extractor. Pulls addresses out of content you point it at, one page or one paste at a time. That is what this tool is.

Scraper. Usually implies crawling, walking a site or a search result automatically across many pages and collecting addresses along the way.

The legal and ethical questions are identical either way, and so is the data quality problem: both return raw addresses that have not been verified. If you have seen both terms in a search result and wondered which one you need, either will do for a single page. Automated crawling at volume is where you start needing to think about a site's terms of use and its rate limits.

Is there a free email extractor with no signup?

Yes, and this is one. There is no account and no email capture on either mode.

Paste mode is free with no cap at all, because the scan runs in your own browser and never touches a server. URL mode calls a Cleanlist AI endpoint to fetch the page, so it is capped at 100 scans per IP per day to keep the endpoint from being used as an open proxy.

What free cannot do is tell you whether the addresses work. That takes DNS and mailbox checks, and the free email verifier covers the DNS layer at 25 checks per IP per day. For a whole extracted list, import the CSV into Cleanlist AI. Every new workspace starts with 14 days of Pro, then the $0 Free plan keeps 50 credits a month, at one credit per verified email.

Can I extract emails from a website without a Chrome extension?

Yes. This tool runs on a web page, so nothing gets installed and nothing gains access to your browsing. Most email extractors are distributed as extensions because an extension can read the page after JavaScript has rendered it, which is a real advantage on modern sites. It is also why extensions ask for permission to read every page you visit.

The way to get that same reach here without installing anything is the paste mode. Open the page in your browser, let it render, select all, copy, and paste it in. The extractor then works on the fully rendered text rather than on the raw HTML the server sent.

Cleanlist does publish a Chrome extension, but its job is different: it pulls verified emails and phone numbers for people on LinkedIn and Sales Navigator, not raw addresses off arbitrary pages.

The toolEmail ExtractorRunsLive lookupFree quota100 site scans / dayTakesURL or textReturnsevery email on it

How does this tool work?

An email extractor finds the email addresses inside a page or a block of text and gives them back as a clean, deduplicated list. This one works two ways.

Enter a website URL and Cleanlist AI requests that page from our server, reads the HTML the site returns, and pulls out every address in it, including the ones that only exist as the target of a mailto: link. Paste text instead, an email thread, a directory export, a copy from a PDF, or raw HTML, and the identical scan runs locally in your browser with nothing uploaded.

Either mode returns the same thing: every address found, duplicates collapsed, a running count, one-click copy, and a CSV download.

The limits are worth reading before you rely on a result. A server-side fetch only sees server-rendered HTML, so addresses injected by JavaScript after the page loads, hidden behind a login, or published as an image will not appear. And extracting an address never proves the mailbox exists. Scraped addresses are frequently role accounts, years out of date, or mistyped at the source, and sending to them bounces.

Run the output through the free email verifier before any of it touches a campaign.

How to extract emails from a website

Enter the URL. Paste the full address of the page you want scanned, most usefully a contact, about, team, or staff directory page.

Fetch. Cleanlist AI requests that page from our server and reads the HTML the site returns to a plain, anonymous request.

Scan. Every string shaped like an email address is matched, in visible text, in attributes, and inside mailto: link targets.

Dedupe. Identical addresses are collapsed to a single entry and normalized to lowercase, so a page that repeats one address in the header and the footer returns it once.

Group by domain. The results are summarized by domain, so you can see at a glance how many addresses belong to the company itself and how many are third parties.

Export. Copy the whole list in one click, or download it as a CSV that opens straight into a spreadsheet.

If a page you can see addresses on returns nothing, the cause is almost always rendering. Read the next section before you conclude the site is blocking you.

Extracting emails from pasted text

The second mode never leaves your browser. Paste a signature block, a forwarded thread, a column copied out of a spreadsheet, text lifted from a PDF, or the view-source of a page, and the same scan runs locally.

Plus-addressing. jane+news@acme.com is kept whole rather than truncated at the plus sign.

Subdomains. support@mail.eu.acme.org is matched in full, not cut back to the root domain.

Markup and punctuation. Addresses wrapped in tags, quotes, angle brackets, or trailing commas come back clean.

Volume. Paste the whole document at once. There is no per-day limit, because nothing is uploaded, logged, or stored.

Paste mode is the right choice in two situations: when the content is confidential and you do not want it leaving your machine, and when the page you care about only renders its addresses in the browser. In that second case, open the page, let it load, select all, copy, paste.

What a server-side email scraper can and cannot see

Server-rendered HTML: visible. Anything present in the markup a site returns to a plain request is found. That covers most contact pages, team directories, imprints, and footers.

mailto: links: visible. Addresses that appear only as a link target and never as readable text are still picked up.

JavaScript-rendered content: not visible. If a script injects the addresses after load, a plain fetch receives the empty shell and finds nothing. Single-page apps and several popular site builders behave exactly this way.

Pages behind a login: not visible. The fetch is anonymous, so anything requiring a session, a paywall, or an invite is out of reach.

Images and PDFs: not visible. An address published as a picture to defeat scrapers defeats this one too. There is no OCR step.

Obfuscated addresses: mostly visible. Addresses written as name [at] company [dot] com are rebuilt, and Cloudflare's email protection is decoded back to the real address. Addresses assembled piece by piece in JavaScript are not.

An empty result on a page where you can plainly see an address almost always means the page renders in the browser, sits behind a login, or publishes the address as a picture. The fix is the same every time: view the rendered page, copy the text, and use paste mode.

Why extracted emails bounce

An extracted list is raw text, and raw text is the lowest-quality list you can put in a sender.

Role accounts. info@, sales@, hello@ and support@ are what companies publish, and they land in shared inboxes with the most aggressive filtering on the internet.

Stale addresses. A contact page can sit unedited for years after the named person left the company.

Source typos. A misspelled address in the HTML extracts perfectly and still bounces.

Deliberate traps. Some sites plant addresses in the markup that no human visitor would ever read, precisely so that anything mailing them identifies itself as a scraper.

Bounce rate is the number mailbox providers watch, and once yours climbs they route your mail to spam for every recipient rather than only the bad addresses. Verify before you send. The free email verifier checks syntax, DNS, and live MX records at 25 checks per IP per day, and the MX lookup tells you whether a whole domain can receive mail at all.

For a list, Cleanlist AI verifies across 25+ providers at 98% accuracy and enriches each row with a name, title, company, and phone number.

Who uses the Email Extractor?

The people who run it most, and what each one runs it for.

  • SDRs & BDRsPull the published addresses off a prospect's contact page, then verify before outreach.
  • RecruitersCollect candidate emails from directories, exports, and threads in one pass.
  • MarketersTurn a messy copy-paste into a deduplicated list before a campaign.
  • FoundersGrab contacts off a page without hand-copying every address.
  • RevOpsConvert unstructured text exports into a clean, deduped list for the CRM.
  • AgenciesExtract and clean client contact lists from whatever format they arrive in.

What does Cleanlist AI do with a whole list?

This free tool checks one record at a time. Watch a real search go from query to an enriched, validated, CRM-ready list: 36 leads, 100% contact fill, synced to HubSpot.

Search, enrich, validate, CRM

36 ICP leads, 100% contact fill, validated and pushed to HubSpot in one flow

Describe the job once. An agent runs it every week.

Clu turns one sentence into an agent. It searches 1B+ profiles, finds verified emails and phone numbers across 25+ providers, adds the people to your sequence and posts each run to Slack.

An example agent run in Cleanlist AI: Weekly ICP outbound, built by Clu from one sentence.

Weekly ICP outbound

Weekly · Monday 8:00 AM

Ran in 11m 42s

Built by Clu from: “Every week, find 500 new people who match my ICP, get their emails and phones, and add them to Series B outbound.”

  1. Searched 1B+ profiles for new ICP matches500 foundPeople Search
  2. Ran the waterfall across 25+ providers487 emails · 412 phonesWaterfall
  3. Verified every email and phoneSMTP + catch-allVerification
  4. Added them to Series B outbound500 peopleSequences
  5. Posted the run to #pipelineSlackAgents

Friday 4:52 PM15 replies · 5 calls booked

Start free trialSee pricing

14 days of Pro, free: 250 credits, 3 seats, agents, Sequences and Clu in Slack. Then Free at 50 credits a month, or Starter at $49 and Pro at $89 a seat a month.

Which free email lookup tools work together?

Start from whatever you have (a name, a domain, an email or a block of text) and chain the tools until you have a verified contact.

Frequently asked questions

Short answers about the Email Extractor: what it checks, what it costs and where it stops.

All free tools
Is it legal to extract emails from a website?

Reading a publicly accessible page and noting the addresses printed on it is generally lawful, and it is what any visitor does by hand. What is regulated is what you do next. In the EU and the UK, a work email that identifies a person is personal data under GDPR, so you need a lawful basis to process it and the person can ask you to stop. In the US, CAN-SPAM specifically prohibits sending commercial mail to addresses harvested from websites by automated means, and in Canada CASL requires consent, with a narrow exception for a business address published without a statement refusing unsolicited mail. Sites can also restrict automated collection in their terms of use. The short version: extraction is the easy part legally, outreach is the part with rules, and none of this is legal advice.

Does the email extractor work on any website?

It works on any page that returns its addresses in server-rendered HTML, which is most contact pages, team pages, and site footers. It also rebuilds addresses written as name [at] company [dot] com and decodes Cloudflare's email protection. It comes back empty on pages that build their content with JavaScript after load, pages behind a login, and addresses published as images. Some sites block automated requests outright. When a URL scan returns nothing on a page you can plainly read, open the page in your browser, select all, copy, and use the paste mode instead. That works on the rendered text, so it sees exactly what you see.

Why did the extractor find no emails on a page that clearly has them?

Almost always because the addresses are not in the HTML that the server sent. Modern sites frequently render contact details in the browser with JavaScript, so a plain fetch receives an empty shell. The other common causes are a login wall, an address published as an image, an address assembled in JavaScript rather than written out, and a site that refuses automated requests. The workaround for every one of them is paste mode: open the page yourself, let it render, copy the text, and paste it into the second tab. Nothing you paste is uploaded.

Why do extracted emails bounce?

Because extraction proves an address was printed somewhere, not that a mailbox is behind it. Extracted lists are heavy on role accounts (info@, sales@, support@) that route to filtered shared inboxes, on addresses left on pages long after the person left, and on typos that were already wrong in the source. Some pages also carry addresses planted specifically to catch scrapers. Sending into that mix raises your bounce rate, and mailbox providers respond by routing your mail to spam for every recipient. Verify first: the free email verifier covers syntax, DNS, and MX, and Cleanlist AI verifies a whole list across 25+ providers at 98% accuracy.

Can I extract emails from a whole website, or only one page?

One page per run. The URL mode fetches exactly the address you give it and does not follow internal links or crawl the domain. If you want addresses from several pages, run each one, since contact details cluster on a small number of predictable URLs anyway: /contact, /about, /team, /staff, /people, and the imprint page on European sites. For work at real volume the better move is not more crawling but better data. Cleanlist AI's People Search finds named decision-makers at a company with verified emails and phone numbers, which is a different and far more reliable input than whatever a site chose to publish.

Is the email extractor free, and is there a limit?

It is free with no account. Paste mode has no limit at all, because the scan runs in your browser and nothing is sent anywhere. URL mode calls a Cleanlist AI server to fetch the page, so it is capped at 100 scans per IP per day to keep the endpoint from being abused as an open proxy. If you hit that cap, paste mode still works without one.

Can it extract email addresses from HTML?

Yes, and that is the paste mode's strongest use. Paste raw HTML, a view-source dump, or a rich-text block, and the extractor finds addresses inside tags, mailto: link targets, and attributes as well as in visible text. It ignores the surrounding markup and returns only the addresses, deduplicated and lowercased, with a CSV export.

How do I turn an extracted list into contacts I can actually use?

Verify it, then enrich it. Verification removes the addresses that will bounce. Enrichment turns a bare address into a person: name, job title, company, LinkedIn URL, and a phone number. Cleanlist AI runs both in one pass across 25+ data providers (98% verified work emails and 85% phone numbers on our 500-lead benchmark), where one credit resolves an email, 10 resolve a phone number, and 11 resolve a full contact record. Every new workspace starts with 14 days of Pro (250 credits), and the Free plan keeps 50 credits a month after that.

Now run it on the whole list.

Upload the CSV or describe the list you want. Clu finds, verifies and qualifies every row.

14 days of Pro, free.