# Company & Contact Enrichment (`startuphub/profile-enrichment`) Actor Enrich a company by name or website, or turn an email address into a full person + company + funding profile. - **URL**: https://apify.com/startuphub/profile-enrichment.md - **Developed by:** [StartupHub](https://apify.com/startuphub) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Company & Contact Enrichment — fill in the missing data Two enrichment flows in one actor: - **Company mode:** give a company name or website, get a fresh enriched profile (description, funding, HQ, sectors, links) backed by a live web-research pipeline. - **Email mode:** give a work email, get the person, their company, whether the company is VC-backed, and the email domain pattern in one call. Powered by [StartupHub.ai](https://www.startuphub.ai). ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | string | `company` or `email`. | | `companies` | array | Company mode. Each item `{ name, website?, linkedin_url? }`; `name` required. | | `emails` | array of strings | Email mode. Work emails to enrich. | | `force` | boolean | Company mode. Re-run enrichment even if cached data is fresh. | | `fast` | boolean | Company mode. Return cached data only, never run the pipeline. | ### Output (one dataset row per item) Company mode: the enriched company `data`, `source` (pipeline / cache / created), `enriched`, `last_enriched_at`. Email mode: `person`, `company`, `is_free_email_provider`, `person_guess`. Both carry a `powered_by` / `web_tool` / `full_api` CTA footer. ### Setup Add a `STARTUPHUB_API_KEY` environment variable (mark **Secret**). Company enrichment requires a **Pro Lite or higher** key. Get one at https://www.startuphub.ai/my-account?tab=api. ### Suggested monetization Pay-per-result. For high-volume enrichment, CRM sync, and change monitoring, use the StartupHub API directly. Keywords: company enrichment, contact enrichment, email to company, CRM enrichment, lead enrichment, firmographic data, funding data, B2B data. # Actor input Schema ## `mode` (type: `string`): company = enrich a company by name/website. email = enrich a person + company from an email address. ## `companies` (type: `array`): Companies to enrich. Each item: { "name": "Acme", "website": "acme.com", "linkedin_url": "..." }. name is required. ## `emails` (type: `array`): Work emails to enrich into a person + company + funding signal. ## `force` (type: `boolean`): Re-run the enrichment pipeline even if cached data is still fresh. ## `fast` (type: `boolean`): Return cached data only, never run the pipeline. ## Actor input object example ```json { "mode": "company", "companies": [ { "name": "OpenAI", "website": "openai.com" } ], "emails": [ "patrick@stripe.com" ], "force": false, "fast": false } ```` # 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 = { "companies": [ { "name": "OpenAI", "website": "openai.com" } ], "emails": [ "patrick@stripe.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("startuphub/profile-enrichment").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 = { "companies": [{ "name": "OpenAI", "website": "openai.com", }], "emails": ["patrick@stripe.com"], } # Run the Actor and wait for it to finish run = client.actor("startuphub/profile-enrichment").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 '{ "companies": [ { "name": "OpenAI", "website": "openai.com" } ], "emails": [ "patrick@stripe.com" ] }' | apify call startuphub/profile-enrichment --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=startuphub/profile-enrichment", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Company & Contact Enrichment", "description": "Enrich a company by name or website, or turn an email address into a full person + company + funding profile.", "version": "0.1", "x-build-id": "GhxhYD3Cmzjo8Gg5a" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/startuphub~profile-enrichment/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-startuphub-profile-enrichment", "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/startuphub~profile-enrichment/runs": { "post": { "operationId": "runs-sync-startuphub-profile-enrichment", "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/startuphub~profile-enrichment/run-sync": { "post": { "operationId": "run-sync-startuphub-profile-enrichment", "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": { "mode": { "title": "Mode", "enum": [ "company", "email" ], "type": "string", "description": "company = enrich a company by name/website. email = enrich a person + company from an email address.", "default": "company" }, "companies": { "title": "Companies (company mode)", "type": "array", "description": "Companies to enrich. Each item: { \"name\": \"Acme\", \"website\": \"acme.com\", \"linkedin_url\": \"...\" }. name is required." }, "emails": { "title": "Emails (email mode)", "type": "array", "description": "Work emails to enrich into a person + company + funding signal.", "items": { "type": "string" } }, "force": { "title": "Force fresh enrichment (company mode)", "type": "boolean", "description": "Re-run the enrichment pipeline even if cached data is still fresh.", "default": false }, "fast": { "title": "Cache-only (company mode)", "type": "boolean", "description": "Return cached data only, never run the pipeline.", "default": false } } }, "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 } } } } } } } } } } ```