Email Verifier & Validator — Catch-All Resolution

Strict, no false positives. Verify a list of email addresses in bulk. This verifier is built around one rule: an address is marked ok only when there is an explicit signal that the mailbox exists, never because nothing said it doesn't. When it can't be sure, it says so (catch_all or unknown, with the reason) instead of guessing.

That matters because a wrong ok costs you the most: you send to a dead mailbox, it bounces, and your sender reputation takes the hit.

What you get

• Strict ok. A mailbox is ok only on a hard SMTP accept at a domain that rejects unknown addresses, or when the specific mailbox is otherwise confirmed to exist.
• Many catch-all addresses resolved. Domains that accept every address can't be verified by SMTP alone. We can still confirm many of those mailboxes, so fewer of your addresses end up as catch_all.
• One row for every unique address, including malformed ones (invalid / invalid_syntax). On the Apify Free plan, the first 1,000 unique addresses per run.
• Every row explains itself: verdict_source says what decided it, confidence how sure it is.
• You pay only for decisive results (ok, invalid, disposable). catch_all, unknown and error rows are free, and so is an ok marked mailbox_unconfirmed (see below).

Use cases

Each of these opens a ready-to-run example with sample addresses. Replace them with your own list, or link your CSV file or Google Sheet.

• Verify an email list before a cold outreach campaign — remove invalid and risky addresses before you send, so bounces don't hurt your sender reputation.
• Check catch-all email addresses for real mailboxes — on a domain that accepts every address, many real mailboxes can still be confirmed.
• Catch typos and disposable emails in a sign-up list — flag mistyped domains (gmail.con → gmail.com), throwaway inboxes and domains that can't receive mail before they reach your CRM.

How to use it

1. Paste your addresses into Email addresses (one per line), or use File — upload a CSV from your computer, or paste a link to one (Google Sheets, Google Drive, Dropbox). You can use both; duplicates are verified once.
2. Click Start.
3. Results stream into the dataset while the run is going. Export them as CSV, Excel or JSON.

Input

Field	Description
emails	Addresses to verify, one per line.
fileUrl	An uploaded CSV/TXT file, or a link to one — a Google Sheet, a Google Drive file or a Dropbox file (max 25 MB, about a million addresses).
emailColumn	Optional: the file column with the addresses — header name (Email), letter (C) or number (3). Detected automatically when empty.

Give emails, fileUrl, or both.

Example input

Paste a list:

{
  "emails": [
    "jane@acme.com",
    "sales@gmial.com",
    "not-an-email"
  ]
}

Or link a Google Sheet (or a CSV file) and name the column that holds the addresses:

{
  "fileUrl": "https://docs.google.com/spreadsheets/d/<SHEET_ID>/edit",
  "emailColumn": "Email"
}

Using a file or Google Sheet

• Google Sheets: share the sheet as Anyone with the link → Viewer and paste the link. The tab in the link is used (the first tab if the link doesn't point to one).
• CSV files: comma, semicolon, tab and pipe separators all work, with or without a header row. Quoted fields and Name <jane@acme.com> or mailto: cells are handled.
• The email column is found by its header (anything containing "email"), or else as the column with the most addresses. Set Email column to choose it yourself.
• Rows without an address in that column (blank, N/A…) are skipped and not charged.
• Excel files: export them as CSV first, or upload them to Google Sheets and use that link.
• If the file can't be read, the run tells you why (for example "not shared publicly") and verifies any addresses you typed. Nothing is charged for a file that couldn't be read.

Output

One row per unique address:

Field	Meaning
email	The address, trimmed and lowercased.
result	ok, invalid, catch_all, unknown, disposable or error (see below).
resultcode	1 ok · 2 catch_all · 3 unknown · 4 error · 5 disposable · 6 invalid.
quality	good (ok), risky (catch_all, unknown), bad (invalid, disposable), empty for error.
subresult	The detailed reason, e.g. no_mailbox, dns_no_mx, greylisted, invalid_syntax, mailbox_unconfirmed.
free	The domain is a free mailbox provider (gmail.com, yahoo.com…).
role	A role or team inbox such as info@ or sales@.
didyoumean	A suggested fix for a likely domain typo (gmial.com → gmail.com).
error	Set only when result is error: verifier_unavailable (the service was down — try again later) or verification_error.
mx	The domain's primary mail server.
verdict_source	The kind of evidence behind the result, for example the mail server's answer (smtp) or the domain's DNS records (dns).
confidence	high, medium or low.

The first nine fields follow the field names other verifiers commonly use, so you can switch without remapping columns.

Example output

Four rows from a real run — a confirmed mailbox, a domain that accepts no mail, a malformed address, and a typo domain with its suggested fix:

[
  {
    "email": "support@apify.com",
    "result": "ok",
    "resultcode": 1,
    "quality": "good",
    "subresult": "",
    "free": false,
    "role": true,
    "didyoumean": "",
    "error": "",
    "mx": "aspmx.l.google.com",
    "verdict_source": "smtp",
    "confidence": "high"
  },
  {
    "email": "jane.doe@example.com",
    "result": "invalid",
    "resultcode": 6,
    "quality": "bad",
    "subresult": "host_not_accept_incoming_mail",
    "free": false,
    "role": false,
    "didyoumean": "",
    "error": "",
    "mx": "",
    "verdict_source": "dns",
    "confidence": "high"
  },
  {
    "email": "not-an-email",
    "result": "invalid",
    "resultcode": 6,
    "quality": "bad",
    "subresult": "invalid_syntax",
    "free": false,
    "role": false,
    "didyoumean": "",
    "error": "",
    "mx": "",
    "verdict_source": "syntax",
    "confidence": "high"
  },
  {
    "email": "sales@gmial.com",
    "result": "disposable",
    "resultcode": 5,
    "quality": "bad",
    "subresult": "disposable_domain",
    "free": false,
    "role": true,
    "didyoumean": "gmail.com",
    "error": "",
    "mx": "",
    "verdict_source": "heuristic",
    "confidence": "high"
  }
]

A run also writes a SUMMARY record to its key-value store: counts per result, how many results were charged, and why the run stopped early if it did.

What each result means

Result	Meaning	Charged
ok	The mailbox exists. Safe to send.	yes
ok / mailbox_unconfirmed	The address belongs to a real account, but its mailbox could not be confirmed, so it may bounce (confidence is medium). Send with care, or drop it.	no
invalid	The mailbox or the domain does not exist, or the address is malformed.	yes
disposable	A throwaway-inbox domain.	yes
catch_all	The domain accepts every address and this one could not be confirmed.	no
unknown	Could not be decided (for example the mail server was busy or deferred us).	no
error	Not verified (see error).	no

Pricing

Pay per event: you are charged per decisive result (ok, invalid, disposable). Rows that are catch_all, unknown or error are free, so you never pay for an answer that doesn't help you. An ok with subresult mailbox_unconfirmed is free as well: we show it, but we don't charge for an address whose mailbox we couldn't confirm.

Apify plan	Per decisive result	Per 1,000
Free, Bronze	$0.0010	$1.00
Silver	$0.0009	$0.90
Gold and above	$0.0008	$0.80

Each run also has a start fee of $0.0001 per GB of memory (minimum one; a default run pays $0.0001).

Example: you verify 10,000 addresses on the Bronze plan. 8,000 come back ok, invalid or disposable, and 2,000 come back catch_all or unknown. You pay for the 8,000: $8.00. The 2,000 risky rows cost nothing.

Apify Free plan: each run verifies the first 1,000 unique addresses; the status message says how many were left out. Any paid Apify plan removes the limit.

If you set a maximum charge for the run, the actor stops verifying when that budget is used up. The remaining addresses still get a row (unknown / max_charge_reached) and are not charged.

Reliability

• Large lists and timeouts. If the run's timeout is getting close, the actor stops starting new work and finishes cleanly. Addresses it didn't reach come back as unknown / run_time_limit (free). Run the same input again with a longer timeout — you are never charged twice. For 72 hours, every address already charged in the stopped run is copied into the new run's results for free, and only the rest is verified. The same holds after a run stops at your maximum charge.
• Service hiccups. Temporary errors are retried automatically. If the verification service is unavailable, the affected rows come back as error / verifier_unavailable (free) instead of the run failing.
• Busy mail servers. If a mail server is pushing back, the actor doesn't hammer it. Those rows come back as unknown / deferred_server_busy.
• Interrupted runs resume. If Apify moves the run to another server, it continues where it left off without re-verifying or re-charging finished batches.

Other actors by this developer

Build a lead list, then verify it here

Actor	What it does
Skip Trace API — Phone, Email & Address Lookup	Look up anyone in the US by name, phone, email or address: phones with carrier and line type, emails, addresses. Run the emails it finds through this verifier.
Zillow Property Scraper — full record by zpid	The full Zillow record for a zpid or listing URL: price, Zestimate, home facts, price and tax history, schools, agent.
Zillow Search Scraper — listings by city or ZIP	Zillow listings for sale, for rent or recently sold by city, ZIP or neighborhood.
TikTok Profile Scraper — followers, likes, bio	Public profile for any TikTok account: followers, likes, video count, bio, verified status — for creator outreach.
TikTok Shop Scraper — Products, Sellers & Reviews	Search TikTok Shop, product detail with images and reviews, or a seller's full catalogue.

More from this developer

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Hotel Rates, Award Points & OTA Parity	Live cash, member and award-point rates from 11 hotel chains, side by side with the big booking sites.
TikTok Search Scraper	Search TikTok by keyword across videos, accounts, sounds, hashtags, photo posts and places.
TikTok User Posts Scraper	Every video an account has posted, with stats and a no-watermark link.
TikTok Comments Scraper	Every comment on a video, with threaded replies and no duplicates.
TikTok Hashtag Scraper	Every video under a hashtag, with play counts and likes.
TikTok Trending Scraper	Trending videos from TikTok's own Explore feed, with full stats.
TikTok Sound Scraper	Find sounds by name and the videos that actually use them.
TikTok Transcript Scraper	Transcripts and subtitles from TikTok's own caption track: text, VTT and SRT.
TikTok Video Downloader	No-watermark MP4, MP3 audio, covers and subtitles for any public video.
TikTok Live Scraper	Find live rooms by keyword, with playable stream links.
TikTok Places Scraper	TikTok's place directory with each location's reviews and ratings.
TikTok Shop Reviews Scraper	Every review on a US TikTok Shop product, to the full archive.
TikTok Shop Category Scraper	Every product in a US TikTok Shop category, subcategories included.

FAQ

Why are some addresses catch_all? Their domain accepts mail for any address, so a mail-server check can't tell a real mailbox from a made-up one. We try to confirm the address in other ways first and only report catch_all when we can't. Treat these as risky.

Why unknown? The mail server didn't give a usable answer: it greylisted us, was busy, or couldn't be reached. We report that honestly rather than guessing ok.

Do you store my email addresses? The results are stored in your own run's dataset on Apify. The verification service doesn't keep a list of the addresses you verify. It caches only facts about domains, such as their mail servers and whether a domain is catch-all. If a run stops early, the actor keeps a key-value store named email-verifier-resume in your Apify account so that a re-run can skip what you already paid for. It holds the results you were charged for, with every address replaced by a one-way hash, never the address itself. Results older than 72 hours are ignored and removed the next time a run saves there, and you can delete the store at any time.

Do you send any email? No. Verification stops before any message is sent.

My Google Sheet link doesn't work. Open the sheet, click Share, set General access to Anyone with the link (Viewer), and copy the link again. Private sheets can't be read.

API

Start a run and fetch the results with the Apify API or the Apify client:

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const run = await client.actor("mu0i/email-verifier").call({
  emails: ["jane@acme.com"],
  // or: fileUrl: "https://docs.google.com/spreadsheets/d/<SHEET_ID>/edit",
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

The same in Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("mu0i/email-verifier").call(run_input={
    "emails": ["jane@acme.com"],
    # or: "fileUrl": "https://docs.google.com/spreadsheets/d/<SHEET_ID>/edit",
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Integrations

Connect the verifier to the tools you already use through Apify integrations:

• Zapier, Make and n8n: start a verification when new leads arrive, then send the results to your CRM or spreadsheet.
• Webhooks: get a call when a run finishes and fetch its dataset.
• Schedules: re-verify a Google Sheet or CSV link on a regular schedule, for example weekly.