Free Email Extractor

An email extractor is a pattern matcher with good manners. It reads a block of text — page source, a CSV, a support thread, the text layer of a PDF — and returns every string shaped like an email address. The work is not the finding; a regular expression finds addresses in a line of code. The work is everything around it: recovering addresses that were deliberately obfuscated, collapsing the same address written three different ways, and telling you honestly what it removed.

That last part is where most free extractors quietly fail. They return a shorter list than you pasted and never say why, so you cannot tell whether four contacts were duplicates or whether the tool choked on a line. This one counts every removal by category, and the number you kept plus the number removed always equals the number found.

Four sources cover almost every real use. Each has a quirk worth knowing before you paste.

This is the single most useful thing to understand about every free email tool, including this one. An extractor decides things that are visible in the address itself: is it well-formed, is it a duplicate, is the local part a role like info@, is the domain a known throwaway. All of that is decidable offline, which is exactly why it can be free and instant and private.

Whether a mailbox exists is a different question. Answering it means opening an SMTP connection to the receiving mail server and asking. A web page cannot open one — browsers do not expose raw sockets, and mail servers do not answer from a browser. Any browser-only tool claiming to verify deliverability is either uploading your list to a backend it isn’t mentioning, or guessing.

Extracting addresses from text you can lawfully access is not itself an offence in the US, UK or EU. The obligations attach to the sending.

CAN-SPAM (US) requires accurate From and Reply-To headers, a non-deceptive subject line, a physical postal address, and a working unsubscribe honoured within ten business days. It also names “harvesting” — collecting addresses from websites specifically to send unsolicited bulk mail — as an aggravated violation that raises the penalty.

GDPR (EU/UK) treats a business address that identifies a person as personal data. You need a lawful basis to contact them, and for genuine B2B outreach that is usually legitimate interest — which requires the message to be relevant to their professional role, your identity to be clear, and opting out to be easy. Several member states additionally require prior consent for marketing to individuals, including sole traders.

None of that is legal advice, and none of it is changed by which tool you used to build the list. The practical rule: if the person would reasonably expect a message from you about that subject, you are usually fine; if the list is large and the message is identical, you are in bulk-mail territory and every rule above applies in full.

An extracted list is raw. Three passes make it usable, and two of them are on this site.

Clean it. Remove duplicates, role addresses and throwaway domains — the email list cleaner does all three and shows you what it took out. Fill the gaps. Where you have a name and a company but no address, the email permutator generates the likely formats ranked commonest first. Then verify. Before any bulk send, run the list through a server-side verifier — bounces are charged against your sending domain’s reputation, and a reputation is much slower to rebuild than a list is to check.