# Bulk Email Validator — MX, Format & Disposable Check (`maged120/email-validator`) Actor Validate email addresses in bulk. Checks format validity, domain existence, MX record resolution, and disposable email domain detection — clean your mailing list before sending. - **URL**: https://apify.com/maged120/email-validator.md - **Developed by:** [Maged](https://apify.com/maged120) (community) - **Categories:** Automation, Developer tools - **Stats:** 22 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $12.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ### What does Bulk Email Validator do? **Bulk Email Validator** verifies email addresses in bulk — checking format validity, domain existence, MX record resolution, and disposable email domain detection. Clean your mailing list before sending and reduce bounce rates. This Actor runs on the [Apify platform](https://apify.com). Use it for email list hygiene, lead validation, CRM data cleaning, or any workflow that requires confident email verification at scale. ### Why use Bulk Email Validator? - **Multi-layer validation** — format, domain, DNS/MX records, and disposable email check - **Batch processing** — validate thousands of emails in one run - **Reduce bounce rates** — remove invalid addresses before email campaigns - **CRM hygiene** — keep your contact database clean and deliverable - **Disposable email detection** — filter out throwaway addresses from registrations ### How to use Bulk Email Validator 1. Open the Actor and click **Try for free** 2. Enter a list of email addresses in the `emails` field 3. Click **Start** — validation results appear in the Output tab 4. Download as JSON or CSV to filter your list ### Input ```json { "emails": [ "user@example.com", "invalid-email@", "test@mailinator.com", "contact@validbusiness.com" ] } ```` | Field | Type | Description | Default | |---|---|---|---| | `emails` | array | Email addresses to validate | required | ### Output Results are stored in the Apify dataset. Download in JSON, CSV, HTML, or Excel. ```json { "email": "user@example.com", "isValid": true, "formatValid": true, "domainExists": true, "mxRecordFound": true, "isDisposable": false, "reason": "valid" } ``` ### Output fields | Field | Type | Description | |---|---|---| | `email` | string | The validated email address | | `isValid` | boolean | Overall validation result | | `formatValid` | boolean | Email format passes RFC 5321 | | `domainExists` | boolean | Domain resolves in DNS | | `mxRecordFound` | boolean | Mail server (MX) record found | | `isDisposable` | boolean | Is a known disposable/temporary email domain | | `reason` | string | Human-readable validation status | ### Cost Pay-per-result pricing: | Volume | Estimated cost | |---|---| | 1,000 emails | ~$0.05–$0.50 | | 10,000 emails | ~$0.50–$5.00 | | 100,000 emails | ~$5–$50 | ### Tips - Filter results by `isValid: false` and export the list of invalid addresses to remove from your CRM - Use `isDisposable: true` to filter out throwaway registration emails - Validate new signups in real time using the Apify API with a webhook or serverless function ### FAQ **Does this guarantee an email can receive mail?** MX record validation confirms the mail server exists, but cannot guarantee the specific mailbox is active without sending a test email. **Is disposable email detection comprehensive?** The Actor checks against a large database of known disposable email providers. New providers may not be flagged immediately. **Is this Actor maintained?** Yes. Report bugs or feature requests in the Issues tab. **Need help or have questions?** Open an issue in the Issues tab or reach out on Discord: **maged03211** # Actor input Schema ## `emails` (type: `array`): List of email addresses to validate ## `batch_size` (type: `integer`): Number of emails to process concurrently in each batch ## `delay_between_requests` (type: `integer`): Delay in seconds between processing batches to avoid rate limiting ## `max_retries` (type: `integer`): Maximum number of retry attempts for failed requests ## Actor input object example ```json { "emails": [ "invalidwe.com", "valid@gmail.com" ], "batch_size": 10, "delay_between_requests": 0, "max_retries": 3 } ``` # 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": [ "invalidwe.com", "valid@gmail.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("maged120/email-validator").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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": [ "invalidwe.com", "valid@gmail.com", ] } # Run the Actor and wait for it to finish run = client.actor("maged120/email-validator").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "emails": [ "invalidwe.com", "valid@gmail.com" ] }' | apify call maged120/email-validator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=maged120/email-validator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bulk Email Validator — MX, Format & Disposable Check", "description": "Validate email addresses in bulk. Checks format validity, domain existence, MX record resolution, and disposable email domain detection — clean your mailing list before sending.", "version": "0.0", "x-build-id": "YrLu0tAvORh3TUg9d" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/maged120~email-validator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-maged120-email-validator", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/maged120~email-validator/runs": { "post": { "operationId": "runs-sync-maged120-email-validator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/maged120~email-validator/run-sync": { "post": { "operationId": "run-sync-maged120-email-validator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Email List", "minItems": 1, "maxItems": 10000, "type": "array", "description": "List of email addresses to validate", "items": { "type": "string" } }, "batch_size": { "title": "Batch Size", "minimum": 1, "maximum": 50, "type": "integer", "description": "Number of emails to process concurrently in each batch", "default": 10 }, "delay_between_requests": { "title": "Delay Between Batches (seconds)", "minimum": 0, "maximum": 60, "type": "integer", "description": "Delay in seconds between processing batches to avoid rate limiting", "default": 0 }, "max_retries": { "title": "Max Retries Per Email", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum number of retry attempts for failed requests", "default": 3 } } }, "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 } } } } } } } } } } ```