# BounceVerify — Email Verification API (`bounceverify/bounceverify-email-verifier`) Actor Bulk email verification API with SMTP validation, catch-all detection, and disposable filtering. Reduce bounce rate and protect sender reputation. GDPR compliant. $0.89 per 1,000 emails. - **URL**: https://apify.com/bounceverify/bounceverify-email-verifier.md - **Developed by:** [BounceVerify](https://apify.com/bounceverify) (community) - **Categories:** Lead generation, Developer tools, Automation - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.00089 / email verified This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## BounceVerify — Bulk Email Verification API | $0.89 / 1,000 ✅ > **Built by the team behind https://bounceverify.com** — direct source, not a reseller. Verify emails in bulk with a 6-layer verification engine: syntax, domain, MX records, SMTP handshake, catch-all detection, and disposable/role filtering. **GDPR compliant with zero email storage**. Only $0.89 per 1,000 emails — fair pricing: you pay only for decisive results. 🎯 **Best for:** Cold email campaigns, lead list cleaning, CRM hygiene, signup form validation, sales prospecting from Apollo/LinkedIn/Apify scrapers. --- ### ❌ Why email verification matters - 20–40% of scraped emails are invalid or outdated - High bounce rates damage your sender reputation - One bad campaign can impact deliverability across your entire domain 👉 BounceVerify fixes this before you send a single email. --- ### 🔥 Why BounceVerify? | | **BounceVerify** | ZeroBounce | NeverBounce | Hunter.io | |---|:---:|:---:|:---:|:---:| | **Price per 1,000** | **$0.89** | ~$7 | ~$8 | ~$49 | | **Own the API?** | ✅ Yes | ❌ N/A | ❌ N/A | ❌ N/A | | **6-layer engine** | ✅ | ✅ | ✅ | Partial | | **Throughput** | **500+/min** | varies | varies | varies | | **GDPR compliant** | ✅ Zero storage | ✅ | ✅ | ✅ | | **Issues response** | **< 12 hours** | — | — | — | | **Free tier** | 100 emails | Trial credits | Trial credits | 25/mo | 👉 You may be paying up to 7x more for similar verification services. **TL;DR:** Up to 87% cheaper, fast, and fully GDPR compliant. --- ### 💰 Volume Pricing All prices include Apify platform usage. No subscription. Pay only for what you verify. | Volume | Your cost on Apify | Equivalent at ZeroBounce | You save | |---|:---:|:---:|:---:| | 1,000 emails | **$0.89** | $7.00 | **87%** | | 5,000 emails | **$4.45** | $35.00 | **87%** | | 10,000 emails | **$8.90** | $70.00 | **87%** | | 50,000 emails | **$44.50** | $350.00 | **87%** | | 100,000 emails | **$89.00** | $700.00 | **87%** | | 1,000,000 emails | **$890.00** | $7,000.00 | **87%** | > 💡 **Processing 10K+ emails monthly?** Skip Apify commission — https://bounceverify.com/pricing --- ### 📊 Real-world results Tested on 50,000+ scraped emails: - 30–40% invalid detected - Bounce rate reduced from ~18% to under 2% - Significant improvement in campaign deliverability > Results vary by data source, but high invalid rates are common in scraped lists. --- ### 🛡️ 6-Layer Verification Engine Each email goes through a multi-stage validation process that mirrors real SMTP traffic. - Syntax validation - Domain existence - MX records lookup - SMTP handshake - Catch-all detection - Risk scoring Plus: disposable detection, role-based detection, free provider detection, typo suggestions (`typo_suggestion`). --- ### ✨ Key Features - Fair pricing (pay only for decisive results) - 100 free verifications - Fast parallel processing - Flexible inputs (emails or dataset) - Rich output schema - GDPR compliant (zero storage) --- ### 📥 Input Example ```json { "emails": ["contact@google.com", "info@github.com"] } ```` *** ### 📤 Output Example ```json { "email": "john@example.com", "status": "valid", "score": 85, "smtp_valid": true, "typo_suggestion": null } ``` *** ### 🔗 Typical workflow Apollo / LinkedIn scraper → BounceVerify → Instantly / Smartlead Verify leads automatically before sending campaigns. *** ### 🆓 Free Tier 🚀 **Run your first 100 verifications free — no credit card required.** *** ### 🔒 Privacy - Zero email storage - GDPR compliant - No third-party sharing *** ### 📬 Support contact@bounceverify.com *** **Happy verifying! 🚀** # Actor input Schema ## `emails` (type: `array`): List of email addresses to verify. Leave empty if using inputDatasetId. Max 500,000 per run. ## `inputDatasetId` (type: `string`): Apify Dataset ID containing emails to verify. Use this to verify emails extracted by another Actor (e.g. LinkedIn scraper, Google Maps scraper). ## `emailField` (type: `string`): Field name in dataset items containing the email address. Only used with inputDatasetId. ## `concurrency` (type: `integer`): Number of parallel verification requests. Lower values are safer for your API rate limits. ## `timeoutSecs` (type: `integer`): Timeout per email verification request. ## `skipInvalidSyntax` (type: `boolean`): If enabled, emails failing basic syntax regex are skipped locally (not sent to API, not charged). ## Actor input object example ```json { "emails": [ "contact@google.com", "test@mailinator.com", "noreply@github.com" ], "emailField": "email", "concurrency": 10, "timeoutSecs": 30, "skipInvalidSyntax": true } ``` # Actor output Schema ## `results` (type: `string`): List of verified email records with status, score, and deliverability signals. # 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": [ "contact@google.com", "test@mailinator.com", "noreply@github.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("bounceverify/bounceverify-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": [ "contact@google.com", "test@mailinator.com", "noreply@github.com", ] } # Run the Actor and wait for it to finish run = client.actor("bounceverify/bounceverify-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": [ "contact@google.com", "test@mailinator.com", "noreply@github.com" ] }' | apify call bounceverify/bounceverify-email-verifier --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bounceverify/bounceverify-email-verifier", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BounceVerify — Email Verification API", "description": "Bulk email verification API with SMTP validation, catch-all detection, and disposable filtering. Reduce bounce rate and protect sender reputation. GDPR compliant. $0.89 per 1,000 emails.", "version": "0.1", "x-build-id": "PnZI71SRRMDbZ4aOv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bounceverify~bounceverify-email-verifier/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bounceverify-bounceverify-email-verifier", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/bounceverify~bounceverify-email-verifier/runs": { "post": { "operationId": "runs-sync-bounceverify-bounceverify-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/bounceverify~bounceverify-email-verifier/run-sync": { "post": { "operationId": "run-sync-bounceverify-bounceverify-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 to verify", "maxItems": 500000, "type": "array", "description": "List of email addresses to verify. Leave empty if using inputDatasetId. Max 500,000 per run.", "items": { "type": "string" } }, "inputDatasetId": { "title": "Input Dataset ID (optional)", "type": "string", "description": "Apify Dataset ID containing emails to verify. Use this to verify emails extracted by another Actor (e.g. LinkedIn scraper, Google Maps scraper)." }, "emailField": { "title": "Email field name", "type": "string", "description": "Field name in dataset items containing the email address. Only used with inputDatasetId.", "default": "email" }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 50, "type": "integer", "description": "Number of parallel verification requests. Lower values are safer for your API rate limits.", "default": 10 }, "timeoutSecs": { "title": "Request timeout (seconds)", "minimum": 5, "maximum": 120, "type": "integer", "description": "Timeout per email verification request.", "default": 30 }, "skipInvalidSyntax": { "title": "Skip syntax-invalid emails", "type": "boolean", "description": "If enabled, emails failing basic syntax regex are skipped locally (not sent to API, not charged).", "default": true } } }, "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 } } } } } } } } } } ```