Email Finder: Likely Business Addresses from Name and Domain

The NanoScrape Email Finder Scraper is an Apify actor that extracts structured web data from Email Finder. It returns 17 fields per result including first_name, last_name, domain, status, reason, priced at $1.5/1k person, with no API key or monthly subscription required.

Turn a first name, last name and company domain into a ranked list of likely business email addresses, with MX check, free-mail and disposable flags and a catch-all heuristic. Candidates only, no mailbox check. Pay-per-result.

Open on Apify →

Pricing

$1.50 / 1,000 person

Runtime

Cloud (Apify)

Coverage

INTL

What you can scrape — 17 fields per result

Field	Type	Example	Group	Fill %
`first_name`	string	Jane	Core	100%
`last_name`	string	Doe	Core	100%
`domain`	string	apify.com	Other	100%
`status`	string	ok	Other	100%
`reason`	string	(populated when data available)	Other	10%
`best_guess`	string	[email protected]	Other	90%
`best_guess_pattern`	string	first.last	Other	90%
`candidates`	array	`[{"email": "[email protected]", "pattern": "first.last"}, {"email": "jane@apify`	Other	90%
`confidence`	string	medium	Other	100%
`mx_valid`	boolean	`true`	Other	100%
`mx_hosts`	array	`["aspmx.l.google.com", "alt1.aspmx.l.google.com", "alt2.aspmx.l.google.com"]`	Other	90%
`mx_provider`	string	google_workspace	Other	90%
`free_mail`	boolean	`false`	Other	100%
`disposable`	boolean	`false`	Other	100%
`catch_all`	string	unknown	Other	100%
`catch_all_method`	string	heuristic	Other	100%
`checked_at`	string	2026-10-27T03:47:32Z	Other	100%

Input example — showcase (full detail)

{
  "leads": [
    {
      "firstName": "Jane",
      "lastName": "Doe",
      "domain": "apify.com"
    },
    {
      "firstName": "John",
      "lastName": "Smith",
      "domain": "stripe.com"
    },
    {
      "firstName": "Maria",
      "lastName": "Muster",
      "domain": "migros.ch"
    }
  ]
}

Output example — real dataset item (PII scrubbed)

{
  "first_name": "Jane",
  "last_name": "Doe",
  "domain": "apify.com",
  "status": "ok",
  "best_guess": "[email protected]",
  "best_guess_pattern": "first.last",
  "candidates": [
    {
      "email": "[email protected]",
      "pattern": "first.last"
    },
    {
      "email": "[email protected]",
      "pattern": "first"
    },
    {
      "email": "[email protected]",
      "pattern": "flast"
    },
    {
      "email": "[email protected]",
      "pattern": "f.last"
    },
    {
      "email": "[email protected]",
      "pattern": "firstlast"
    },
    {
      "email": "[email protected]",
      "pattern": "first_last"
    },
    {
      "email": "[email protected]",
      "pattern": "first.l"
    },
    {
      "email": "[email protected]",
      "pattern": "last.first"
    },
    {
      "email": "[email protected]",
      "pattern": "last"
    }
  ],
  "confidence": "medium",
  "mx_valid": true,
  "mx_hosts": [
    "aspmx.l.google.com",
    "alt1.aspmx.l.google.com",
    "alt2.aspmx.l.google.com",
    "aspmx2.googlemail.com",
    "aspmx3.googlemail.com"
  ],
  "mx_provider": "google_workspace",
  "free_mail": false,
  "disposable": false,
  "catch_all": "unknown",
  "catch_all_method": "heuristic",
  "checked_at": "2026-10-27T03:47:32Z"
}

Cost math

Priced at $0.0015 per person with at least one candidate address ($1.50 per 1,000). Rows without candidates are delivered and not charged. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.

Input

Put people in leads, each with firstName, lastName and domain. You can give fullName instead of the two name fields: Alex Example and Example, Alex are split into first and last name. The domain may be a bare domain, start with www. or be a full URL. Names are lower-cased, accents transliterated (ü becomes ue) and everything except a-z removed. The candidates follow the common business patterns, ranked by how often they are used: first.last, first, flast, f.last, firstlast, first_last, first.l, last.first, last; for Alex Example at example.com the list starts with [email protected]. Status is ok or risky (catch-all likely) when candidates were generated, and no_mx, free_mail_domain, disposable_domain, dns_error or invalid_input when none were. confidence is medium at most. With no leads, built-in sample people with placeholder names are used.

Integrations

n8n / Make / Zapier — trigger runs and process results via webhook
AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
Python / Node.js — Apify SDK for programmatic access
Google Sheets / Airtable — export via Apify integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run email-finder-scraper in your browser - no code, no install. In the Apify console you get:

One-click test - fill in the input form, or paste the JSON example above into the JSON editor tab, then hit Start.
Live output - watch rows stream into an interactive Output table as they arrive, or flip to the raw JSON / Log view.
Export in any format - one click to download the dataset as JSON, CSV, XML, Excel, HTML table, RSS, or JSONL.
Schedules - run this actor daily, weekly, hourly, or on a custom cron. Apify handles timing and stores every dataset run.
Integrations & webhooks - fire a webhook on success/failure, or plug into Zapier, n8n, Make, Airbyte, Google Sheets, Slack, S3, Postgres, and more from the Actions tab.
Transparent cost - see exact usage against your $5/month free tier before you spend a cent.

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

Sign up for a free Apify account (Google, GitHub, or email).
Go to Settings → Integrations → API tokens.
Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully. How many results that covers depends on the actor's price per result.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~email-finder-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/email-finder-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/email-finder-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)

// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/email-finder-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();

// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/email-finder-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/email-finder-scraper

Example prompt once connected:

"Use <code>email-finder-scraper</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.

Add the n8n Apify node (installed by default on n8n Cloud; on self-hosted install @apify/n8n-nodes-apify).
Set Actor to santamaria-automations/email-finder-scraper.
Choose operation Run Actor and get dataset, paste your input JSON, and connect a downstream node (Google Sheets, Postgres, webhook, ...).

Create a new Zap with any trigger.
Add a Webhooks by Zapier POST action to https://api.apify.com/v2/acts/santamaria-automations~email-finder-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
Body: your input JSON. Content-Type: application/json.

Create a new scenario.
Add an HTTP module: URL https://api.apify.com/v2/acts/santamaria-automations~email-finder-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.
Parse the response with a JSON module to iterate items downstream.

Create a new workflow.
Add an HTTP Request step: POST to https://api.apify.com/v2/acts/santamaria-automations~email-finder-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
Access steps.http.$return_value in subsequent steps.

Install the API Connector plugin.
Add a new API: POST https://api.apify.com/v2/acts/santamaria-automations~email-finder-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.
Initialize the call with your input, then reference the response array in workflow actions.

FAQ

How much does the email-finder-scraper cost?

Priced at $0.0015 per person with at least one candidate address ($1.50 per 1,000). Rows without candidates are delivered and not charged. Apify's $5/month free tier covers the first runs. No monthly subscription — you only pay for what you extract.

What fields does it return?

17 fields per result. Full field catalog is listed in the 'What you can scrape' table above — includes core identifiers, descriptive text, dates, and any category-specific data.

Is scraping this site legal?

Scraping publicly available data is generally permitted in most jurisdictions, but GDPR applies to any personal data you collect. Review your local rules and consult a lawyer for commercial use.

How fresh is the data?

Every run pulls live data at execution time. Set up a schedule (daily/hourly/weekly cron) in the Apify console to keep your dataset current automatically.

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