# Bulk Email Verifier & Validator | Email Checker API & MCP (`zenisbit.com/bulk-email-verifier`) Actor Bulk email verifier and validator that cleans any email list and cuts bounce rates. Verify email addresses, check deliverability, and get a deliverable/risky/undeliverable verdict with a 0–100 quality score, plus catch-all, disposable and role detection. Import a pasted list, CSV or Google Sheet. - **URL**: https://apify.com/zenisbit.com/bulk-email-verifier.md - **Developed by:** [Zenisbit](https://apify.com/zenisbit.com) (community) - **Categories:** Lead generation, Automation, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $5.00 / 1,000 email verifieds 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 Verifier & Validator — Bulk Email Verification & List Cleaning** **Bulk email verifier and validator** that checks any list of email addresses and tells you which are safe to send to. Verify emails, check deliverability, and clean your list — every address comes back labelled **deliverable**, **risky**, **undeliverable**, or **unknown**, with a 0–100 quality score and rich details. Paste a list or import a CSV or Google Sheet, and export the results to CSV, Excel, JSON, or straight into your CRM. ### **Why verify your email list?** Sending to bad email addresses hurts everything: hard bounces pile up, your sender reputation drops, and your good emails start landing in spam. This email verification Actor checks each address for you — mailbox by mailbox — so you can remove the junk before you hit send, cut your bounce rate, and protect your domain. ### ✅ **Why this email verifier is more accurate** Most bulk email checkers run raw SMTP probes from datacenter IP addresses. Mailbox providers block port 25 from those IPs, so **Gmail, Yahoo, and Outlook addresses come back as false "catch-all" or "unknown"** — and you either bin good contacts or trust bad ones. This Actor verifies on managed verification infrastructure instead, so you get: - **Accurate results for Gmail, Yahoo, and Outlook**, not false catch-alls. - **No proxies to configure** and no port-25 blocking to work around. - **True catch-all detection** — know when a domain accepts everything (and is genuinely risky), rather than guessing. The result: you act on accurate verdicts instead of guesses — fewer bounces, a cleaner list, and a protected sender reputation. ### 🔧 **How bulk email verification works** 1. **You provide the emails** — paste them directly, or import a CSV file or Google Sheet and name the column that holds the addresses. 2. **Quick clean-up** — duplicates are removed and clearly malformed addresses are flagged as invalid at no cost, so you only pay to verify real candidates. 3. **Deep verification** — each remaining address is checked against the receiving mail server: does the domain exist, is there a valid mail (MX) setup, does the mailbox actually accept mail, is it a catch-all, disposable, or role account? 4. **You get clean results** — one row per address with a clear status, a 0–100 quality score, and helpful attributes, streamed live into your dataset. ### ✨ **Features** - **Deliverability status** for every address — deliverable, risky, undeliverable, or unknown. - **Quality score** (0–100) so you can set your own threshold for what's "good enough". - **Catch-all / accept-all detection** — know when a domain accepts everything (and is therefore risky). - **Role, disposable & free-mailbox flags** — spot `info@`, throwaway domains, and free providers. - **"Did you mean?" suggestions** — surfaces likely typo fixes (e.g. `gmial.com` → `gmail.com`). - **Free syntax pre-check** — obviously invalid addresses are caught locally and never billed. - **Duplicate removal** — the same address is never verified (or charged) twice. - **Flexible input** — a pasted list, a CSV file, or a Google Sheet, with column mapping. - **Live results** — rows appear in your dataset as they're verified, not only at the end. - **Run summary** — a deliverable / risky / undeliverable breakdown for the whole run. ### 💼 **Use Cases** - **Clean a cold-outreach list** before a campaign to cut bounce rates and protect your domain. - **Validate signups** exported from your product or CRM to keep your database healthy. - **Vet a purchased or scraped list** before trusting it. - **Periodically re-check** an existing list, since addresses go stale over time. ### 📥 **Input** | Field | Description | | -------------------------- | ----------------------------------------------------------------------------------------------- | | **Emails** | Paste the addresses to verify, one per line. Great for quick checks and small lists. | | **CSV / Google Sheet URL** | A public CSV link or a Google Sheet shared with "Anyone with the link" — ideal for large lists. | | **Email column name** | The column in your file that contains the addresses (required when using a file). | You can supply a pasted list, a file, or both. At least one is required. ### 📤 **Output** One row per address, ready to export. Fields marked _(inferred)_ are best-effort guesses and may be empty or approximate; every other field is authoritative. Booleans are `null` when the information isn't available. | Field | Type | Description | | --------------- | ------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `email` | string | The address that was checked. | | `state` | enum | `deliverable`, `undeliverable`, `risky`, or `unknown`. | | `score` | integer (0–100) | Quality score; higher is safer to send to. | | `reason` | string | Why the state was assigned (e.g. `accepted_email`, `invalid_domain`). Also `invalid_syntax` for locally-rejected addresses and `verification_error` when a check couldn't complete. | | `free` | boolean | On a free provider (Gmail, Yahoo, …). | | `role` | boolean | A role account (`info@`, `support@`, `sales@`, …). | | `disposable` | boolean | A temporary / throwaway address. | | `accept_all` | boolean | The domain accepts every address (catch-all). | | `mailbox_full` | boolean | The mailbox is full (a deliverability warning sign). | | `no_reply` | boolean | A `noreply@`-style address that doesn't accept replies. | | `did_you_mean` | string | A suggested correction for a likely typo, when available. | | `domain` | string | The email's domain (e.g. `gmail.com`). | | `user` | string | The local part before the `@`. | | `tag` | string | The plus-tag portion of `user+tag@…`, when present. | | `first_name` | string _(inferred)_ | Likely first name. | | `last_name` | string _(inferred)_ | Likely last name. | | `full_name` | string _(inferred)_ | Likely full name. | | `gender` | string _(inferred)_ | `male` or `female`. | | `mx_record` | string | The receiving mail server. | | `smtp_provider` | string | The mailbox provider (e.g. `google`). | | `duration` | number | Seconds spent verifying the address. | ### 💳 **Pricing** Pay per email that receives a real verification result — **from $0.005 per email ($5 per 1,000)**. Addresses removed as duplicates or caught by the free syntax pre-check are **not** charged, so you only pay for genuine checks. That's a fraction of Hunter or ZeroBounce, with accuracy that cheap raw-SMTP tools can't match. ### 🚧 **Limits** - Handle lists of virtually any size — up to **500,000 emails per run**, verified in consecutive batches within a single run. - "Unknown" results can happen when a mail server is slow or temporarily unreachable; re-running those later often resolves them. ### 📞 **Questions or Support?** Something not working as expected, or a feature you'd like to see? Reach out through the Actor's support contact on Apify — we respond fast and we're happy to help. # Actor input Schema ## `emails` (type: `array`): Paste or type the email addresses to verify, one per line. Best for quick checks and small lists. ## `fileUrl` (type: `string`): Optional: upload a CSV file, or paste a public CSV link or a shared Google Sheet containing a column of emails. Use this for large lists. ## `emailColumn` (type: `string`): The exact name of the column that holds the email addresses (case-insensitive). Required when a file URL is set. ## Actor input object example ```json { "emails": [ "deliverable@example.com", "risky@example.com", "undeliverable@example.com" ], "emailColumn": "email" } ```` # Actor output Schema ## `results` (type: `string`): Open the dataset to view or export each email with its verification result. ## `summary` (type: `string`): Deliverable / risky / undeliverable totals and rates for the whole run. # 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": [ "deliverable@example.com", "risky@example.com", "undeliverable@example.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("zenisbit.com/bulk-email-verifier").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": [ "deliverable@example.com", "risky@example.com", "undeliverable@example.com", ] } # Run the Actor and wait for it to finish run = client.actor("zenisbit.com/bulk-email-verifier").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": [ "deliverable@example.com", "risky@example.com", "undeliverable@example.com" ] }' | apify call zenisbit.com/bulk-email-verifier --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=zenisbit.com/bulk-email-verifier", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bulk Email Verifier & Validator | Email Checker API & MCP", "description": "Bulk email verifier and validator that cleans any email list and cuts bounce rates. Verify email addresses, check deliverability, and get a deliverable/risky/undeliverable verdict with a 0–100 quality score, plus catch-all, disposable and role detection. Import a pasted list, CSV or Google Sheet.", "version": "0.0", "x-build-id": "XcYTVSu2Dhd5ZmN4N" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/zenisbit.com~bulk-email-verifier/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-zenisbit.com-bulk-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/zenisbit.com~bulk-email-verifier/runs": { "post": { "operationId": "runs-sync-zenisbit.com-bulk-email-verifier", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/zenisbit.com~bulk-email-verifier/run-sync": { "post": { "operationId": "run-sync-zenisbit.com-bulk-email-verifier", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "emails": { "title": "Emails", "type": "array", "description": "Paste or type the email addresses to verify, one per line. Best for quick checks and small lists.", "items": { "type": "string" } }, "fileUrl": { "title": "CSV file or Google Sheet", "pattern": "^https?:\\/\\/.+", "type": "string", "description": "Optional: upload a CSV file, or paste a public CSV link or a shared Google Sheet containing a column of emails. Use this for large lists." }, "emailColumn": { "title": "Email column name", "type": "string", "description": "The exact name of the column that holds the email addresses (case-insensitive). Required when a file URL is set." } } }, "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 } } } } } } } } } } ```