# Email Finder & Verifier - Bulk Business Email Lookup (`crustapi/email-finder-verifier`) Actor Find verified business emails from a name and company website, or check a list of emails you already have. Pay only for results. No account or API key needed. - **URL**: https://apify.com/crustapi/email-finder-verifier.md - **Developed by:** [Crust](https://apify.com/crustapi) (community) - **Categories:** Lead generation, Agents, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 verified email founds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Email Finder & Verifier Find a business email from a name and a company website. We find it **and** check that it is real before you pay. Already have a list of emails? Drop them in and we tell you which ones are good. No account. No API key. Paste your list, press Start, done. ### What you can do **Find emails.** Give us a full name and the company website. You get back a verified work email. **Check emails.** Paste emails you already have. We tell you which are real, which are dead, and which we cannot be sure about. You can do both in the same run. ### How to use it (2 steps) 1. Put one lead per line in the **Leads** box: ```` Jane Doe, acme.com jane@acme.com ```` - A name and a website (`Jane Doe, acme.com`) means **find the email**. - An email on its own (`jane@acme.com`) means **check the email**. 2. Press **Start**. When it is done, download your results as CSV, Excel, or JSON. Have a big list? Upload a CSV instead of pasting (see below). ### What you get One clean row per lead, with these columns: - **Name** - **Company** - **Company domain** - **Email** - **Status**, one of: - **verified**: the email is real and takes mail. - **invalid**: the email does not exist. - **catch_all**: the company takes mail at any address, so no tool can be sure about this one. (free) - **unknown**: the mail server would not give a clear answer. (free) ### Why people use it - **Find and check in one step.** Most tools make you buy two products. This does both in one run. - **Pay only for results.** You pay when we find a verified email, or give a clear yes or no on your list. Misses are free. Catch-all and unknown checks are free. - **No setup.** No account to connect, no API key. Paste and go. ### Upload a CSV Have a spreadsheet? Upload it instead of pasting. Use a top row with any of these columns: `email, fullName, firstName, lastName, company, domain`. - To **find** an email, a row needs a name and a domain. - To **check** an email, a row needs an email. Save from Excel or Google Sheets as a CSV file. ### What you pay You pay only for results. No monthly fee. No charge to start. - **Verified email found:** a small charge for each verified email we find. Misses are free. - **Email checked from your list:** a small charge for each clear result (real or not real). Catch-all and unknown are free. The exact prices are shown on this page. Nothing is hidden. ### Questions **How accurate is it?** Every email is checked live against the company mail server when you run it, not pulled from an old saved list. **What does "verified" mean?** The mail server confirmed the email is real and takes mail. **What is a catch-all?** Some companies accept mail at any address. That means no tool can be sure a single email there is real. We mark these as `catch_all` and do not charge you for them. **Do I pay for emails you cannot find?** No. You pay only for a verified email. Misses cost nothing. **Can I check my own list of emails?** Yes. Paste the emails, or upload a CSV with an `email` column. **Does it work with my CRM, Make, Zapier, or n8n?** Yes. Run it from the Apify API or connect it with Apify's integrations. Export as CSV, Excel, or JSON. **Do I need an account or API key?** No. Paste your leads and press Start. **Is this like Hunter, ZeroBounce, or Anymail Finder?** Yes. It finds and checks business emails like they do, on Apify, and you pay per result with no separate account. ### More tools from us - **LinkedIn Profile Scraper + Verified Email Finder**: get public profile data plus a verified email. - **Google Maps Scraper**: pull business listings, contacts, and reviews. Have a question, or a result that looks off? Open an issue on this page or reach us through Apify. A quick rating really helps. # Actor input Schema ## `leads` (type: `array`): One lead per line. Two kinds work: β€’ FIND an email: a full name and the company domain (Jane Doe, acme.com). β€’ VERIFY an email you already have: paste the email (jane@acme.com). Mix both freely, or upload a CSV below. ## `leadsFile` (type: `array`): Upload a CSV instead of pasting. Use a header row with any of these columns: email, fullName, firstName, lastName, company, domain. To FIND an email, a row needs a name and a domain. To VERIFY, a row needs an email. Export from Excel or Google Sheets as CSV. ## `maxItems` (type: `integer`): Stop after this many results, a simple cost cap. Leave at 0 to process every lead. ## `emailApiKey` (type: `string`): API key for the email engine. Usually set once by the actor owner as the EMAIL_API_KEY secret environment variable. Stored encrypted. ## `emailApiBaseUrl` (type: `string`): Base URL of the email engine. Normally set once via the EMAIL_API_BASE_URL environment variable. Advanced. ## `emailMinConfidence` (type: `integer`): Discard found emails scoring below this (0 = keep every verified hit). Advanced. ## `maxConcurrency` (type: `integer`): Parallel lookups. Advanced - sensible default applied. ## Actor input object example ```json { "leads": [ "Jane Doe, acme.com", "jane@acme.com" ], "maxItems": 0 } ```` # Actor output Schema ## `results` (type: `string`): Found + verified emails and list-verification results. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "leads": [ "Jane Doe, acme.com", "jane@acme.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("crustapi/email-finder-verifier").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "leads": [ "Jane Doe, acme.com", "jane@acme.com", ] } # Run the Actor and wait for it to finish run = client.actor("crustapi/email-finder-verifier").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "leads": [ "Jane Doe, acme.com", "jane@acme.com" ] }' | apify call crustapi/email-finder-verifier --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crustapi/email-finder-verifier", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Email Finder & Verifier - Bulk Business Email Lookup", "description": "Find verified business emails from a name and company website, or check a list of emails you already have. Pay only for results. No account or API key needed.", "version": "0.0", "x-build-id": "vVeLwhcWf3oUtP5MP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crustapi~email-finder-verifier/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crustapi-email-finder-verifier", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crustapi~email-finder-verifier/runs": { "post": { "operationId": "runs-sync-crustapi-email-finder-verifier", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crustapi~email-finder-verifier/run-sync": { "post": { "operationId": "run-sync-crustapi-email-finder-verifier", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "leads": { "title": "Leads", "type": "array", "description": "One lead per line. Two kinds work:\nβ€’ FIND an email: a full name and the company domain (Jane Doe, acme.com).\nβ€’ VERIFY an email you already have: paste the email (jane@acme.com).\nMix both freely, or upload a CSV below.", "items": { "type": "string" } }, "leadsFile": { "title": "…or upload a CSV file", "type": "array", "description": "Upload a CSV instead of pasting. Use a header row with any of these columns: email, fullName, firstName, lastName, company, domain. To FIND an email, a row needs a name and a domain. To VERIFY, a row needs an email. Export from Excel or Google Sheets as CSV." }, "maxItems": { "title": "Max results (0 = no limit)", "minimum": 0, "type": "integer", "description": "Stop after this many results, a simple cost cap. Leave at 0 to process every lead.", "default": 0 }, "emailApiKey": { "title": "Email API key", "type": "string", "description": "API key for the email engine. Usually set once by the actor owner as the EMAIL_API_KEY secret environment variable. Stored encrypted." }, "emailApiBaseUrl": { "title": "Email API base URL", "type": "string", "description": "Base URL of the email engine. Normally set once via the EMAIL_API_BASE_URL environment variable. Advanced." }, "emailMinConfidence": { "title": "Minimum email confidence (0-100)", "minimum": 0, "maximum": 100, "type": "integer", "description": "Discard found emails scoring below this (0 = keep every verified hit). Advanced." }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 30, "type": "integer", "description": "Parallel lookups. Advanced - sensible default applied." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```