# Email Verifier by Million Verifier - $1/1k emails (`account56/email-verifier`) Actor βœ… #1 Email Verification Service βœ… Only pay for valid and invalid emails βœ… No charge for catch all emails βœ… Easily verify emails from apollo, zoominfo etc - **URL**: https://apify.com/account56/email-verifier.md - **Developed by:** [Million Verifier](https://apify.com/account56) (community) - **Categories:** Lead generation, Automation, MCP servers - **Stats:** 4,593 total users, 1,138 monthly users, 96.6% runs succeeded, 117 bookmarks - **User rating**: 4.67 out of 5 stars ## Pricing Pay per event 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 ## πŸ”₯Email Verifier by Million Verifier βœ… #1 Email Verification Service βœ… Only pay for valid and invalid emails βœ… No charge for catch all emails This Apify actor verifies email addresses in bulk using the Million Verifier service. Every email is checked in seconds, you’re only billed for decisive results (valid, disposable, invalid), and responses land in the default dataset ready for download or automation. ### πŸ’Έ Pricing & Charging - You’re billed $1 per 1,000 decisive verifications (result: `ok`, `disposable`, `invalid`). - Catch-all, unknown, and other non-decisive outcomes are free. - Charging happens automatically after each processing batch; the actor logs a summary at the end of the run. ### ✨ Features - 🧹 Automatic deduplication across runs. - πŸ“Š Resumable stats and per-batch charging ensure accurate billing. - πŸ“ˆ Built-in dataset view for a clean, browsable summary in the Apify console. ### πŸ“ Input - **emails** (required, array of strings): Email addresses you want to verify. > Tip: You can paste a list directly into the β€œEmails” field in the Apify input UIβ€”each line should contain a single address. ### ▢️ How to Run 1. Open the actor on Apify and click **Run**. 2. Paste or upload the list of emails into the `emails` field (or use the prefill to test). 3. Press **Start**. You’ll see live logs and progress in the console. 4. When the run finishes, visit the **Dataset** tab to download results as JSON, CSV, or Excel. ### πŸ“¦ Output The actor writes each verification result to the default dataset. Results are sanitized to remove metadata fields that are not relevant for end users. #### 🧾 Response Schema (application/json) | Field | Type | Allowed values | Description | |---------------|---------|----------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------| | `email` | string | – | The verified email address. | | `quality` | string | `""`, `"good"`, `"bad"`, `"risky"` | Quality assessment of the email address. | | `result` | string | `"ok"`, `"catch_all"`, `"unknown"`, `"error"`, `"disposable"`, `"invalid"` | Overall verification result. | | `resultcode` | integer | `1`, `2`, `3`, `4`, `5`, `6` | Numeric verification result: `1` (ok), `2` (catch_all), `3` (unknown), `4` (error), `5` (disposable), `6` (invalid). | | `subresult` | string | `"unknown"`, `"ok"`, `"internal_error"`, `"invalid_syntax"`, `"no_local_ip_available"`, `"dns_server_failed"`, `"dns_no_mx"`, `"dns_no_a"`, `"could_not_connect"`, `"no_code_in_banner"`, `"invalid_banner_code"`, `"no_code_in_ehlo_response"`, `"no_code_in_helo_response"`, `"no_code_in_mail_from_response"`, `"no_code_in_rcpt_to_response"`, `"ip_blocked"`, `"no_mailbox"`, `"mailbox_disabled"`, `"mailbox_full"`, `"greylisted"`, `"connection_lost"`, `"connection_timeout"`, `"connection_refused"`, `"connection_reset_by_peer"`, `"connection_no_route_to_host"`, `"host_not_accept_incoming_mail"`, `"mail_service_unavailable"`, `"bad_domain"`, `"dns_error"`, `"anti_spam_system"`, `"dns_no_domain"`, `"dns_refused"`, `"timeout_error"` | Detailed sub-result for diagnostic insight. | | `free` | boolean | – | Whether the email belongs to a free email provider (e.g., Gmail). | | `role` | boolean | – | `true` if the email belongs to a role-based inbox (e.g., `sales@`, `admin@`). | | `didyoumean` | string | – | Suggested correction for common typos. | | `error` | string | – | Error message (only populated when `result` is `"error"`). | Happy verifying! πŸš€ # Actor input Schema ## `emails` (type: `array`): Enter the Emails of the people, you want to verify. ## Actor input object example ```json { "emails": [ "test@test.com", "test@gmail.com" ] } ```` # 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 = { "emails": [ "test@test.com", "test@gmail.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("account56/email-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 = { "emails": [ "test@test.com", "test@gmail.com", ] } # Run the Actor and wait for it to finish run = client.actor("account56/email-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 '{ "emails": [ "test@test.com", "test@gmail.com" ] }' | apify call account56/email-verifier --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=account56/email-verifier", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Email Verifier by Million Verifier - $1/1k emails", "description": "βœ… #1 Email Verification Service βœ… Only pay for valid and invalid emails βœ… No charge for catch all emails βœ… Easily verify emails from apollo, zoominfo etc", "version": "0.0", "x-build-id": "UBW4OGYxk3bOPnFL9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/account56~email-verifier/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-account56-email-verifier", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/account56~email-verifier/runs": { "post": { "operationId": "runs-sync-account56-email-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/account56~email-verifier/run-sync": { "post": { "operationId": "run-sync-account56-email-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", "required": [ "emails" ], "properties": { "emails": { "title": "πŸ”Ž Emails", "type": "array", "description": "Enter the Emails of the people, you want to verify.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```