# Bulk Email Verifier & Email Finder (`jumbled_falcon/bulk-email-verifier-and-finder`) Actor Bulk email verifier and finder for B2B outreach. Verify lists (valid, invalid, catch-all, disposable, role-based) or find work emails from name + domain. Upload CSV/XLSX/JSON or paste input. Results as JSON/CSV. - **URL**: https://apify.com/jumbled\_falcon/bulk-email-verifier-and-finder.md - **Developed by:** [Sept Solutions](https://apify.com/jumbled_falcon) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 email verifications 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 ## Bulk Email Verifier & Finder Apify Actor for **bulk email verification** and **email discovery** from a person's name and company domain. Uses remote SMTP verification, MongoDB prior-result cache, and Puppeteer browser checks (Gmail/Outlook) for difficult domains. ### Input modes You only need one of these — the Actor auto-detects verify vs finder: #### 1. Verify emails (inline list) ```json { "emails": ["john@example.com", "alice@acme.com"] } ```` #### 2. Find emails (name + domain records) ```json { "records": [ { "fullName": "John Doe", "domain": "company.com" }, { "fullName": "Jane Smith", "domain": "acme.com" } ] } ``` #### 3. Upload a file Upload CSV, XLSX, or JSON via the **Upload file** field in the Apify Console. | File type | Required columns | Mode | |-----------|------------------|------| | CSV / XLSX | `email` | verify | | CSV / XLSX | `fullName` + `domain` (or `name` + `website`) | finder | | JSON | `{ "emails": [...] }` | verify | | JSON | `[{ "fullName", "domain" }]` | finder | **Mixed input is rejected:** do not combine `emails` and finder `records` in one run unless you set legacy `mode` explicitly. ### Output Each dataset row includes: | Field | Description | |-------|-------------| | `mode` | `verify` or `finder` | | `status` | `valid`, `invalid`, `unknown`, `found`, `not_found`, etc. | | `email` / `foundEmail` | Verified or discovered address | | `verificationMeta` | SMTP, MX, catch-all, provider, browser flags | | `fromCache` | `true` when served from MongoDB prior cache | | `isSummary` | Final row with batch stats | ### Advanced options (collapsed in Console) - `mode` — force `verify` or `finder` (overrides auto-detection) - `inputFileUrl` / `inputFileKey` — programmatic file input - `batchSize`, `maxConcurrency`, `priorCacheEnabled` — throughput and cache toggles ### Infrastructure (Actor owner / maker pays) This Actor requires **owner-configured environment variables** on the Apify Actor (not in user input): - `MONGO_URL` — prior verification cache - `REMOTE_SMTP_*` — remote SMTP API - `WEBSHARE_PROXY_*` — residential proxy for browser checks Users only provide emails, records, or files. **Apify Proxy is not used**; browser checks use Webshare. ### Limits - Default memory: 4096 MB - Max run timeout: 24 hours - Recommended batch sizes: up to 100 items per run for reliable finder browser checks; larger lists use checkpointing but may take longer per item on Google/Outlook MX domains. ### Example API run ```bash apify actors start opalescent_zygote/email-verifier-finder \ --input '{"emails":["test@example.com"]}' \ --memory 4096 ``` ### Legacy input (backward compatible) ```json { "mode": "verify", "emails": ["john@example.com"] } ``` ```json { "mode": "finder", "records": [{ "fullName": "John Doe", "domain": "company.com" }] } ``` # Actor input Schema ## `emails` (type: `array`): Paste email addresses to verify — one per line. Leave empty if you are finding emails or uploading a file. ## `records` (type: `array`): Provide full name and company domain for each person. Leave empty if you are verifying emails or uploading a file. ## `inputFile` (type: `string`): Upload a CSV, XLSX, or JSON file. Verification files need an email column. Finder files need name + domain columns (e.g. fullName,domain or name,website). ## `mode` (type: `string`): Leave empty for automatic detection. Set to verify or finder only if you need to override auto-detection. ## `inputFileUrl` (type: `string`): Remote URL to a CSV, XLSX, or JSON file instead of uploading. ## `inputFileKey` (type: `string`): Key in the run's key-value store pointing to an input file. ## `fileFormat` (type: `string`): How to interpret the input file (auto-detects from extension by default). ## `batchSize` (type: `integer`): Save progress every N items. ## `maxConcurrency` (type: `integer`): Parallel items to process. ## `priorCacheEnabled` (type: `boolean`): Use cached prior results before live verification. ## `resumeFromCheckpoint` (type: `boolean`): Continue from last checkpoint if the run is resurrected. ## `bulkPerEmailCeilingMs` (type: `integer`): Maximum time per email verification. ## `bulkFinderPerRecordCeilingMs` (type: `integer`): Maximum time per finder record. ## `listName` (type: `string`): Optional label for this run. ## `fileName` (type: `string`): Original upload filename metadata. ## `mongoUrl` (type: `string`): Internal — configured via actor environment variables. ## `remoteSmtpBaseUrl` (type: `string`): Internal — configured via actor environment variables. ## `remoteSmtpApiKey` (type: `string`): Internal — configured via actor environment variables. ## `remoteSmtpTimeoutMs` (type: `integer`): Internal — configured via actor environment variables. ## `webshareProxyUsername` (type: `string`): Internal — configured via actor environment variables. ## `webshareProxyPassword` (type: `string`): Internal — configured via actor environment variables. ## `webshareProxyServer` (type: `string`): Internal — configured via actor environment variables. ## `webshareProxyPort` (type: `integer`): Internal — configured via actor environment variables. ## Actor input object example ```json { "emails": [ "john@example.com", "alice@example.com" ], "records": [ { "fullName": "John Doe", "domain": "company.com" }, { "fullName": "Jane Smith", "domain": "acme.com" } ], "fileFormat": "auto", "batchSize": 50, "maxConcurrency": 1, "priorCacheEnabled": true, "resumeFromCheckpoint": true, "bulkPerEmailCeilingMs": 90000, "bulkFinderPerRecordCeilingMs": 180000 } ``` # Actor output Schema ## `results` (type: `string`): One row per verified email or finder record, plus a final summary row with aggregated run statistics. ## `runStats` (type: `string`): Live and final counters: valid, invalid, catch-all, found, not found, cache hits, and processed total. ## `checkpoint` (type: `string`): Bulk-run checkpoint used when resumeFromCheckpoint is enabled. # 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": [ "john@example.com", "alice@example.com" ], "records": [ { "fullName": "John Doe", "domain": "company.com" }, { "fullName": "Jane Smith", "domain": "acme.com" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("jumbled_falcon/bulk-email-verifier-and-finder").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": [ "john@example.com", "alice@example.com", ], "records": [ { "fullName": "John Doe", "domain": "company.com", }, { "fullName": "Jane Smith", "domain": "acme.com", }, ], } # Run the Actor and wait for it to finish run = client.actor("jumbled_falcon/bulk-email-verifier-and-finder").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": [ "john@example.com", "alice@example.com" ], "records": [ { "fullName": "John Doe", "domain": "company.com" }, { "fullName": "Jane Smith", "domain": "acme.com" } ] }' | apify call jumbled_falcon/bulk-email-verifier-and-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jumbled_falcon/bulk-email-verifier-and-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bulk Email Verifier & Email Finder", "description": "Bulk email verifier and finder for B2B outreach. Verify lists (valid, invalid, catch-all, disposable, role-based) or find work emails from name + domain. Upload CSV/XLSX/JSON or paste input. Results as JSON/CSV.", "version": "1.0", "x-build-id": "Lf4GejKy4Oc6KuQHP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jumbled_falcon~bulk-email-verifier-and-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jumbled_falcon-bulk-email-verifier-and-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jumbled_falcon~bulk-email-verifier-and-finder/runs": { "post": { "operationId": "runs-sync-jumbled_falcon-bulk-email-verifier-and-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jumbled_falcon~bulk-email-verifier-and-finder/run-sync": { "post": { "operationId": "run-sync-jumbled_falcon-bulk-email-verifier-and-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Verify emails", "type": "array", "description": "Paste email addresses to verify — one per line. Leave empty if you are finding emails or uploading a file.", "items": { "type": "string" } }, "records": { "title": "Find emails", "type": "array", "description": "Provide full name and company domain for each person. Leave empty if you are verifying emails or uploading a file." }, "inputFile": { "title": "Upload file", "type": "string", "description": "Upload a CSV, XLSX, or JSON file. Verification files need an email column. Finder files need name + domain columns (e.g. fullName,domain or name,website)." }, "mode": { "title": "Workflow mode (override)", "enum": [ "", "verify", "finder" ], "type": "string", "description": "Leave empty for automatic detection. Set to verify or finder only if you need to override auto-detection." }, "inputFileUrl": { "title": "Input file URL", "type": "string", "description": "Remote URL to a CSV, XLSX, or JSON file instead of uploading." }, "inputFileKey": { "title": "Key-value store file key", "type": "string", "description": "Key in the run's key-value store pointing to an input file." }, "fileFormat": { "title": "File format", "enum": [ "auto", "csv", "xlsx", "json" ], "type": "string", "description": "How to interpret the input file (auto-detects from extension by default).", "default": "auto" }, "batchSize": { "title": "Checkpoint batch size", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Save progress every N items.", "default": 50 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 5, "type": "integer", "description": "Parallel items to process.", "default": 1 }, "priorCacheEnabled": { "title": "Enable prior cache", "type": "boolean", "description": "Use cached prior results before live verification.", "default": true }, "resumeFromCheckpoint": { "title": "Resume from checkpoint", "type": "boolean", "description": "Continue from last checkpoint if the run is resurrected.", "default": true }, "bulkPerEmailCeilingMs": { "title": "Per-email verify timeout (ms)", "minimum": 30000, "maximum": 300000, "type": "integer", "description": "Maximum time per email verification.", "default": 90000 }, "bulkFinderPerRecordCeilingMs": { "title": "Per-record finder timeout (ms)", "minimum": 30000, "maximum": 600000, "type": "integer", "description": "Maximum time per finder record.", "default": 180000 }, "listName": { "title": "List name", "type": "string", "description": "Optional label for this run." }, "fileName": { "title": "Source file name", "type": "string", "description": "Original upload filename metadata." }, "mongoUrl": { "title": "MongoDB URL", "type": "string", "description": "Internal — configured via actor environment variables." }, "remoteSmtpBaseUrl": { "title": "Remote SMTP base URL", "type": "string", "description": "Internal — configured via actor environment variables." }, "remoteSmtpApiKey": { "title": "Remote SMTP API key", "type": "string", "description": "Internal — configured via actor environment variables." }, "remoteSmtpTimeoutMs": { "title": "Remote SMTP timeout (ms)", "type": "integer", "description": "Internal — configured via actor environment variables." }, "webshareProxyUsername": { "title": "Webshare proxy username", "type": "string", "description": "Internal — configured via actor environment variables." }, "webshareProxyPassword": { "title": "Webshare proxy password", "type": "string", "description": "Internal — configured via actor environment variables." }, "webshareProxyServer": { "title": "Webshare proxy server", "type": "string", "description": "Internal — configured via actor environment variables." }, "webshareProxyPort": { "title": "Webshare proxy port", "type": "integer", "description": "Internal — configured via actor environment variables." } } }, "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 } } } } } } } } } } ```