Stop paying for bounced B2B emails

Most email-finder tools work by guessing. You give them a name and a domain, and they generate firstname@domain.com or f.lastname@domain.com from a pattern. Sometimes the pattern is right. Often it is not. Either way, the tool hands you the address and lets you find out the hard way, when the message bounces.

Bounces are not free. They cost you sender reputation with the mailbox providers, which lowers inbox placement for the addresses that were real. They cost you the time spent cleaning up after a send. And if you are paying per result, you are often paying for the guesses too, whether or not they were ever deliverable.

There are two cleaner steps. Find an address only where it is actually published, and verify it before you trust it. And if you already have a list, validate that list before you send to it. These are different jobs, so we built two separate tools.

Find addresses that are actually published, then verify them

The first job is finding. Our Verified B2B Email Finder crawls a company's own public pages and extracts the business email addresses it finds there. It does not generate patterns. If an address is not published somewhere on the company's site, the finder does not return it. That is the point. You get addresses a human could have read off a contact or team page, not a string assembled from a guess.

After it finds an address, it verifies deliverability before reporting it. So a returned row is both found-on-page and checked, not one or the other.

Two more things worth knowing. Every row carries a source URL, so you can see the page where the address was published. And you pay only for verified leads. Misses and the verification checks themselves are free, which means the cost lines up with the results you can actually use.

This actor is US data and found-on-page only. It will not invent an address for a company that does not publish one. That is a real limit, and it is the honest tradeoff for not guessing.

Validate a list you already have

The second job is different. Maybe you already have a list, exported from a CRM, handed over by a colleague, collected over months. You did not crawl for it, and you do not want it re-found. You want to know which addresses are worth sending to.

For that, use the Bulk Email Validator. You give it the addresses you already have, and it checks each one:

• Practical RFC 5322 syntax, so malformed addresses are flagged.
• Live domain mail capability, by resolving MX and A records over DNS-over-HTTPS. A domain that cannot receive mail is a clear signal.
• Disposable-domain detection, for the throwaway-inbox providers.
• Role-address flags, so you can see which addresses are info@, sales@, and similar shared mailboxes rather than a person.

Be clear on the boundary. The validator does not find or guess addresses. It validates the ones you supply. If you want addresses discovered from a company's pages, that is the finder's job, not this one. Pricing here is per address checked.

Why no-guessing and provenance matter

A guessed address has no story behind it. You cannot say where it came from or why you believe it is real. A found-on-page address has a source URL, so the answer to "where did this come from" is a link you can open.

Provenance also helps after the fact. If a contact asks how you got their address, "it was published on your company's contact page, here is the URL" is a straight answer. A pattern guess gives you nothing to say.

And verifying before you trust an address keeps the bounce problem out of your send in the first place. The finder verifies what it finds. The validator verifies what you bring. In both cases the check happens before the message goes out, not after.

Running them as agent tools

Both actors run as tools over the Apify MCP server with a typed output schema, so an agent can call them and get structured results back rather than scraped text it has to parse. The finder returns verified leads with source URLs. The validator returns per-address check results. If you are wiring these into a larger pipeline or an assistant, the typed schema is what you build against.

Close

Guessing emails moves the cost downstream, onto your sender reputation and your cleanup time. The alternative is not complicated. Find addresses where they are actually published, verify them, and validate any list before you send.

Both tools are pay-per-result, no subscription. With the finder you pay only for verified leads. With the validator you pay per address checked. Try them on a small batch first and compare the bounce rate against whatever you are using now.