# Look up one New York company by exact name

**Use case:** 

One New York State corporation by its exact legal name — DOS ID, filing date, county, jurisdiction and entity type — found by the state's own data API, not by scanning the first rows. Replace the name with the company you are checking; a no-match ends EMPTY_SELECTION with nothing charged.

## Input

```json
{
  "maxRecords": 10,
  "fieldMatch": {
    "name": "=1444 PARK AVE LLC"
  }
}
```

## Output

```json
{
  "dos_id": {
    "label": "Dos id",
    "format": "string"
  },
  "name": {
    "label": "Name",
    "format": "string"
  },
  "entity_type": {
    "label": "Entity type",
    "format": "string"
  },
  "formation_jurisdiction": {
    "label": "Formation jurisdiction",
    "format": "string"
  },
  "initial_filing_date": {
    "label": "Initial filing date",
    "format": "string"
  },
  "county": {
    "label": "County",
    "format": "string"
  },
  "process_name": {
    "label": "Process name",
    "format": "string"
  },
  "process_address_1": {
    "label": "Process address 1",
    "format": "string"
  },
  "process_address_2": {
    "label": "Process address 2",
    "format": "string"
  },
  "process_city": {
    "label": "Process city",
    "format": "string"
  },
  "process_state": {
    "label": "Process state",
    "format": "string"
  },
  "process_zip": {
    "label": "Process zip",
    "format": "string"
  },
  "source_url": {
    "label": "Source url",
    "format": "string"
  }
}
```

## How it works

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

The New York Active Corporations Actor is ready to run with the inputs already set for "Look up one New York company by exact name". [Sign up or log in](https://console.apify.com/create-task-from-example/lcziipKnn39ygocjo) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Look up one New York company by exact name" task

The New York Active Corporations Actor will start running based on the input automatically. You can also change all the input fields, like maxrecords and field match, to match your specific use case.

### 3. Receive the "Look up one New York company by exact name" 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 dos id, name, entity type, 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 "Look up one New York company by exact name" task via API](https://apify.com/nexgenwatch/new-york-active-corporations.md).

## About this Actor

This example demonstrates how to use [New York Active Corporations](https://apify.com/nexgenwatch/new-york-active-corporations.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/nexgenwatch/new-york-active-corporations.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/nexgenwatch/new-york-active-corporations.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`).