# B2B Decision Maker Email & Phone Finder (`pequod-labs/company-decision-maker-finder`) Actor B2B decision maker finder: verified work emails, mobile/phone, LinkedIn. Lite $18/1k or Pro $45/1k. Apollo + AI + SMTP. Pay only when contact found. - **URL**: https://apify.com/pequod-labs/company-decision-maker-finder.md - **Developed by:** [Pequod](https://apify.com/pequod-labs) (community) - **Categories:** Lead generation - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $18.00 / 1,000 domain enriched (lite)s 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## B2B Decision Maker Email & Phone Finder — Verified CEO & Founder Contacts **Turn company domains into B2B decision maker leads** with verified work emails, mobile/phone numbers, and LinkedIn profiles. Waterfall: Apollo lookup → Google + AI extraction → SMTP email verification → generic inbox fallback. Pay per domain **with a contact found** — empty domains are free by default. ### Who is this for? - **SDR / outbound teams** needing CEO, founder, and VP contacts from a domain list - **Agencies & GTM ops** enriching CRM records with verified email + phone - **Clay / Apollo workflows** — structured contact fields per domain, Apify-native ### Output (per domain) | Field | Description | |-------|-------------| | `decision_maker` | Full name, role, seniority, LinkedIn URL | | `decision_maker.email` + `email_sendable` | Work email with MillionVerifier gate (ok + good) | | `decision_maker.mobile` / `phone` / `best_phone` | Phone when available (mainly from Apollo Tier 1) | | `generic_email` | Verified info@ / contact@ fallback | | `best_contact_email` | Best sendable inbox (DM or generic) | | `has_contact` | True when verified email or phone found | ### Quick start ```json { "domains": ["acme.com", "example.de"], "defaultCountry": "IT", "enrichmentTier": "lite", "verifyEmails": true, "includeGenericInbox": true } ```` Set `ANTHROPIC_API_KEY` and `MILLIONVERIFIER_API_KEY` in actor env vars (or input). Pro tier requires Anthropic. ### FAQ **Is this a B2B email finder or a LinkedIn scraper?**\ Both — we find **decision makers by domain**, return verified **work email**, **phone/mobile**, and **LinkedIn URL** when available. **Does it find phone numbers?**\ Yes — mobile and company phone from Apollo (Tier 1). `best_phone` prefers mobile. **How is email verification done?**\ MillionVerifier SMTP-level check. `email_sendable` = true only when result is ok + quality good. **Apollo alternative?**\ Uses `code_crafter/leads-finder` (Apollo-backed) plus AI web research on Pro tier when Apollo misses. ### Example output ```json { "domain": "acme.com", "has_decision_maker": true, "decision_maker": { "full_name": "Marco Rossi", "role": "CEO", "email": "marco@acme.com", "email_sendable": true, "mobile": "+39 06 1234567", "best_phone": "+39 06 1234567", "linkedin_url": "https://linkedin.com/in/marcorossi" }, "best_contact_email": "marco@acme.com", "has_contact": true } ``` ### Pricing | Tier | Price | Pipeline | |------|------:|------------| | **Lite** | **$18 / 1,000 domains** | Apollo + SMTP verify + generic inbox fallback | | **Pro** | **$45 / 1,000 domains** | Lite + Google Search + Sonnet AI extraction | Charged only when `has_contact` is true (`pushEmptyResults: false` by default). ### Limitations - Phone mainly from Tier 1 Apollo; Tier 2a is email-focused - Pro tier requires Anthropic API key - Email verification requires MillionVerifier # Actor input Schema ## `domains` (type: `array`): Company domains for B2B decision maker email, phone and LinkedIn enrichment. ## `defaultCountry` (type: `string`): Optional ISO country for generic inbox locale hints (IT, DE, FR, NL, ES, GB, US). ## `enrichmentTier` (type: `string`): Lite: Apollo + verify ($18/1k). Pro: + Google + AI fallback ($45/1k). Charged only when a contact is found. ## `verifyEmails` (type: `boolean`): Run MillionVerifier on DM and generic candidate emails. ## `includeGenericInbox` (type: `boolean`): When no verified DM email, try info@/contact@/… patterns. ## `pushEmptyResults` (type: `boolean`): Off by default — you only pay for domains that produced a contact path. ## `skipTier2a` (type: `boolean`): Deprecated — use enrichmentTier lite/pro. ## `maxCandidates` (type: `integer`): Cap merged candidates before email verification. ## `anthropicApiKey` (type: `string`): Required for Pro tier. Can use ANTHROPIC\_API\_KEY env var on the actor instead. ## `millionVerifierApiKey` (type: `string`): For email verification. Can use MILLIONVERIFIER\_API\_KEY env var on the actor instead. ## Actor input object example ```json { "domains": [ "stripe.com", "notion.so" ], "defaultCountry": "", "enrichmentTier": "lite", "verifyEmails": true, "includeGenericInbox": true, "pushEmptyResults": false, "skipTier2a": false, "maxCandidates": 5 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "domains": [ "stripe.com", "notion.so" ] }; // Run the Actor and wait for it to finish const run = await client.actor("pequod-labs/company-decision-maker-finder").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "domains": [ "stripe.com", "notion.so", ] } # Run the Actor and wait for it to finish run = client.actor("pequod-labs/company-decision-maker-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 '{ "domains": [ "stripe.com", "notion.so" ] }' | apify call pequod-labs/company-decision-maker-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=pequod-labs/company-decision-maker-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "B2B Decision Maker Email & Phone Finder", "description": "B2B decision maker finder: verified work emails, mobile/phone, LinkedIn. Lite $18/1k or Pro $45/1k. Apollo + AI + SMTP. Pay only when contact found.", "version": "0.2", "x-build-id": "3eX4QDLDJkdQUShos" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/pequod-labs~company-decision-maker-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-pequod-labs-company-decision-maker-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/pequod-labs~company-decision-maker-finder/runs": { "post": { "operationId": "runs-sync-pequod-labs-company-decision-maker-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/pequod-labs~company-decision-maker-finder/run-sync": { "post": { "operationId": "run-sync-pequod-labs-company-decision-maker-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", "required": [ "domains" ], "properties": { "domains": { "title": "Company domains", "type": "array", "description": "Company domains for B2B decision maker email, phone and LinkedIn enrichment." }, "defaultCountry": { "title": "Default country (ISO)", "enum": [ "", "IT", "DE", "FR", "NL", "ES", "GB", "US" ], "type": "string", "description": "Optional ISO country for generic inbox locale hints (IT, DE, FR, NL, ES, GB, US).", "default": "" }, "enrichmentTier": { "title": "Enrichment tier", "enum": [ "lite", "pro" ], "type": "string", "description": "Lite: Apollo + verify ($18/1k). Pro: + Google + AI fallback ($45/1k). Charged only when a contact is found.", "default": "lite" }, "verifyEmails": { "title": "Verify emails (MillionVerifier)", "type": "boolean", "description": "Run MillionVerifier on DM and generic candidate emails.", "default": true }, "includeGenericInbox": { "title": "Generic inbox fallback", "type": "boolean", "description": "When no verified DM email, try info@/contact@/… patterns.", "default": true }, "pushEmptyResults": { "title": "Push domains without contact", "type": "boolean", "description": "Off by default — you only pay for domains that produced a contact path.", "default": false }, "skipTier2a": { "title": "Skip Tier 2a (legacy)", "type": "boolean", "description": "Deprecated — use enrichmentTier lite/pro.", "default": false }, "maxCandidates": { "title": "Max DM candidates per domain", "minimum": 1, "maximum": 10, "type": "integer", "description": "Cap merged candidates before email verification.", "default": 5 }, "anthropicApiKey": { "title": "Anthropic API key", "type": "string", "description": "Required for Pro tier. Can use ANTHROPIC_API_KEY env var on the actor instead." }, "millionVerifierApiKey": { "title": "MillionVerifier API key", "type": "string", "description": "For email verification. Can use MILLIONVERIFIER_API_KEY env var on the actor instead." } } }, "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 } } } } } } } } } } ```