# Company data for an AI agent from a website domain

**Use case:** 

Call this actor from an AI agent or n8n workflow: give it a domain, get back registration, tech stack, hiring and email-routing data. $4 per 1,000.

## Input

```json
{
  "domains": [
    "openai.com",
    "anthropic.com",
    "perplexity.ai",
    "mistral.ai",
    "cohere.com",
    "stability.ai",
    "runwayml.com",
    "elevenlabs.io",
    "character.ai",
    "replit.com"
  ],
  "testRun": false,
  "onlyFound": false,
  "includeKeywords": [],
  "excludeKeywords": [],
  "hiringForGroups": [
    "sales: sales, account executive, business development, sdr, bdr, account manager, revenue",
    "engineering: engineer, developer, software, devops, sre, data scientist, machine learning, architect",
    "marketing: marketing, demand generation, growth, content, brand, seo, communications",
    "customer-success: customer success, customer experience, customer support, technical support, implementation, onboarding, solutions consultant",
    "executive: chief, head of, vp, vice president, director, president"
  ],
  "columns": [
    "registration",
    "dns",
    "techStack",
    "shopify",
    "tlsCertificate",
    "hiring",
    "emailRoute",
    "emailFinder"
  ],
  "maxConcurrency": 5
}
```

## Output

```json
{
  "query": {
    "label": "Domain submitted",
    "format": "string"
  },
  "found": {
    "label": "Found?",
    "format": "boolean"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "message": {
    "label": "Details",
    "format": "string"
  },
  "registration": {
    "label": "Domain registration (RDAP)",
    "format": "object"
  },
  "dns": {
    "label": "DNS records",
    "format": "object"
  },
  "techStack": {
    "label": "Tech stack detected",
    "format": "object"
  },
  "shopify": {
    "label": "Shopify storefront",
    "format": "object"
  },
  "tlsCertificate": {
    "label": "TLS certificate history",
    "format": "object"
  },
  "hiring": {
    "label": "Hiring signal (ATS detection)",
    "format": "object"
  },
  "emailRoute": {
    "label": "Email route (MX/provider fingerprint)",
    "format": "object"
  },
  "emailFinder": {
    "label": "Email finder (provider + catch-all check)",
    "format": "object"
  },
  "scrapedAt": {
    "label": "Checked at",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Company Data Enrichment by Domain: A Clearbit Alternative Actor is ready to run with the inputs already set for "Company data for an AI agent from a website domain". [Sign up or log in](https://console.apify.com/create-task-from-example/1nImd1ORSJq3CswfJ) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Company data for an AI agent from a website domain" task

The Company Data Enrichment by Domain: A Clearbit Alternative Actor will start running based on the input automatically. You can also change all the input fields, like company domains to enrich, try it first — only process the first 5, and more, to match your specific use case.

### 3. Receive the "Company data for an AI agent from a website domain" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as domain submitted, found?, status, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Company data for an AI agent from a website domain" task via API](https://apify.com/accountable_eel/company-domain-enrichment.md).

## About this Actor

This example demonstrates how to use [Company Data Enrichment by Domain: A Clearbit Alternative](https://apify.com/accountable_eel/company-domain-enrichment.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/accountable_eel/company-domain-enrichment.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/accountable_eel/company-domain-enrichment.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).