# New businesses with a website in CO, OR and CT

**Use case:** 

Lists companies registered in the last 60 days in Colorado, Oregon and Connecticut whose own website we found and confirmed, with the formation date, register link, website, and tech stack. Change the states or window to fit your territory.

## Input

```json
{
  "states": [
    "CO",
    "OR",
    "CT"
  ],
  "formed_within_days": 60,
  "tech": [],
  "require_phone": false,
  "include_contacts": false,
  "max_results": 10
}
```

## Output

```json
{
  "legal_name": {
    "label": "Legal name"
  },
  "website": {
    "label": "Website"
  },
  "city": {
    "label": "City"
  },
  "state": {
    "label": "State"
  },
  "formation_date": {
    "label": "Formation date"
  },
  "entity_type": {
    "label": "Entity type"
  },
  "status": {
    "label": "Status"
  },
  "technologies": {
    "label": "Technologies"
  },
  "phones": {
    "label": "Phones"
  },
  "role_emails": {
    "label": "Role emails"
  },
  "contact_page": {
    "label": "Contact page"
  },
  "contacts_error": {
    "label": "Contacts error"
  }
}
```

## How it works

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

The New Business Leads: New LLCs with Website, Phone and Tech Stack Actor is ready to run with the inputs already set for "New businesses with a website in CO, OR and CT". [Sign up or log in](https://console.apify.com/create-task-from-example/B56NUzJjaIbiLL5qj) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "New businesses with a website in CO, OR and CT" task

The New Business Leads: New LLCs with Website, Phone and Tech Stack Actor will start running based on the input automatically. You can also change all the input fields, like states, formed within the last n days, and more, to match your specific use case.

### 3. Receive the "New businesses with a website in CO, OR and CT" 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 legal name, website, city, 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 "New businesses with a website in CO, OR and CT" task via API](https://apify.com/groundtruth/new-business-leads.md).

## FAQ

### How is each website confirmed?

The new businesses task lists a website only when the site's own pages show the exact registered name plus the city, state or ZIP from the state register.

### How much does it cost?

The new businesses task costs $0.005 per lead, or $0.01 with published contact details turned on.

### Can an AI agent run this task?

The new businesses task runs through the Apify API or the Apify MCP server with any Apify token, including a prepaid token an AI agent buys over x402 at agi.apify.com.

## About this Actor

This example demonstrates how to use [New Business Leads: New LLCs with Website, Phone and Tech Stack](https://apify.com/groundtruth/new-business-leads.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/groundtruth/new-business-leads.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/groundtruth/new-business-leads.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`).
