# US New Business Registrations API: NY, CO, CT, OR Official Data (`jp-data-lab/us-new-business-registrations`) Actor

Newly registered US companies from four official state open data portals, in one schema: entity name, type, status, registration date, city and ZIP, with NAICS industry for Connecticut. Licence-checked sources only. No personal names, emails or street addresses.

- **URL**: https://apify.com/jp-data-lab/us-new-business-registrations.md
- **Developed by:** [JP Data Lab](https://apify.com/jp-data-lab) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 new businesses

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## US New Business Registrations API: NY, CO, CT, OR Official Data

Get newly registered US companies from four official state open data portals in **one JSON schema**. Each source's licence or terms were checked first, and every source is the state's own published open dataset. Secretary of State search pages are never scraped.

| `source` | State | Dataset | Updates | Licence or terms |
|---|---|---|---|---|
| `new-york` | New York | [Corporations and Other Entities: All Filings](https://data.ny.gov/d/63wc-4exh) | Weekly | OPEN-NY Terms of Use |
| `colorado` | Colorado | [Business Entities in Colorado](https://data.colorado.gov/d/4ykn-tg5h) | Daily | Public Domain, see "Colorado notice" |
| `connecticut` | Connecticut | [Connecticut Business Registry - Business Master](https://data.ct.gov/d/n7gp-d28j) | Daily | Public Domain |
| `oregon` | Oregon | [New Businesses Registered Last Month](https://data.oregon.gov/d/esjy-u4fc) | Monthly | Public Domain U.S. Government |

Use it for market research, new-company monitoring by name keyword, B2B account lists, or AI agents that need to answer "what companies just formed in this state?". This is a list of companies, not of people: it has no contact details.

### Output

One item per registered business:

```json
{
  "id": "connecticut:3542961",
  "source": "connecticut",
  "state": "CT",
  "registryNumber": "3542961",
  "entityName": "SERIE 56 LLC",
  "category": "llc",
  "url": "https://data.ct.gov/d/n7gp-d28j",
  "attribution": "Connecticut Secretary of the State, https://data.ct.gov/d/n7gp-d28j (Public Domain)",
  "entityType": "LLC",
  "origin": "domestic",
  "formationPlace": "Connecticut",
  "status": "Active",
  "registeredAt": "2026-10-30",
  "principalCity": "New Britain",
  "principalState": "CT",
  "principalZip": "06051",
  "county": null,
  "naicsCode": "722511",
  "naicsTitle": "Full-Service Restaurants",
  "scrapedAt": "2026-10-31T09:00:00+00:00"
}
```

| Field | Meaning |
|---|---|
| `id` | Stable key, `source:registryNumber`. Use it to remove repeats between runs |
| `state` | The state where the business registered |
| `registryNumber` | The state's own number. Use it to look the business up with the state |
| `category` | One of `llc`, `corporation`, `nonprofit`, `partnership`, `other`. Worked out from the entity type |
| `entityType` | The source's own type wording. Colorado's codes are spelled out, such as `DLLC` to `Domestic Limited Liability Company` |
| `origin` | `domestic` for a business formed in that state, `foreign` for an out-of-state business registering there. `null` if the source does not say |
| `formationPlace` | State or country of formation. New York, Colorado and Connecticut only |
| `status` | The source's own status wording. Colorado and Connecticut only |
| `registeredAt` | Date of the formation or registration filing |
| `principalCity`, `principalState`, `principalZip` | The business location on file. Colorado, Connecticut and Oregon only. Connecticut uses its business address column. An out-of-state business can show a location in another state |
| `county` | County of the principal office. New York only |
| `naicsCode`, `naicsTitle` | Industry chosen by the filer. Connecticut only |
| `url` | The official dataset page |

### Input

| Field | Default | |
|---|---|---|
| `states` | all | Any of the `source` values above |
| `registeredWithinDays` | 60 | Businesses registered in the last N days. `0` = no date limit |
| `categories` | none | Any of the `category` values |
| `domesticOnly` | `false` | Keep only businesses formed in the registering state |
| `keywords` | none | Entity name contains any keyword |
| `maxItems` | 100 | Total for the run, shared evenly across states. You pay per result |

A default run takes under a minute. Schedule it weekly and remove repeats using `id`.

### Personal data

This Actor is built not to return personal data:

- **No people.** Registered agent, officer, member, manager, organizer and incorporator columns are never requested from the source. Oregon stores people and addresses on separate rows, and only its principal place of business rows are read.
- **No street addresses, emails or phones.** A small company's address is often the owner's home, so location stops at city and ZIP code. Connecticut's email column is never requested.
- **No sole-proprietor trade names.** Oregon's assumed business names are left out.
- **Names must look like a legal entity.** A row is returned only if its name contains a word such as `LLC`, `Inc`, `Corp`, `Foundation` or `Church`. Others are dropped, which is 0 to 2 percent of rows and mostly nonprofits, and counted as `nameNotConfirmed` in `RUN_SUMMARY`. A company name that itself contains a name, such as `Jane Doe LLC`, is still returned as the registered name of the company.

### Limitations

- **Sources update at different speeds.** Connecticut and Colorado are usually a day behind, New York about a week, and Oregon publishes the previous calendar month around the middle of the next month. A `registeredWithinDays` under about 45 can be empty for Oregon.
- **Fields differ by state.** New York has a county but no city or ZIP. Only Connecticut has an industry. About 5 percent of recent Connecticut rows have no city.
- **Only 4 states are covered.** Florida's site refused an honest automated client, so its terms could not be read. Other states do not publish a licensed open dataset of new filings that could be confirmed.
- **Corrections appear late.** The states can change or remove a record later. Status is what the source shows on the day of the run.
- **`categories` and `domesticOnly` are applied after reading,** at most 20,000 rows per state. Use a shorter date range if the log says the limit was reached.
- If one source is down, the run still succeeds with the others. See `RUN_SUMMARY` for per-source counts and errors.
- Not affiliated with any state government. Always check the official record before relying on a registration.

### Colorado notice

The terms of data.colorado.gov ask applications using its data to show this disclaimer:

> The data made available here has been modified for use from its original source, which is the State of Colorado. THE STATE OF COLORADO MAKES NO REPRESENTATIONS OR WARRANTY AS TO THE COMPLETENESS, ACCURACY, TIMELINESS, OR CONTENT OF ANY DATA MADE AVAILABLE THROUGH THIS SITE. THE STATE OF COLORADO EXPRESSLY DISCLAIMS ALL WARRANTIES, WHETHER EXPRESS OR IMPLIED, INCLUDING ANY IMPLIED WARRANTIES OF MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the Web feed is being used at one's own risk.

### Data sources and attribution

Each item carries its own `attribution` field with the publisher, dataset link and licence, so you can keep the credit when you pass the data on.

***

### 日本語

米国の 4 州（ニューヨーク・コロラド・コネチカット・オレゴン）の公式オープンデータから、新しく登記された法人を同じ形式で取得します。各データ源の許諾または利用規約は事前に確認しており、州務長官の検索画面は巡回しません。出力は法人名・種別・状態・登記日・市・郵便番号までで、代理人や役員の氏名、番地、メール、電話は出力しません。

# Actor input Schema

## `states` (type: `array`):

Which official state sources to read. Leave all selected for every source.

## `registeredWithinDays` (type: `integer`):

Only businesses registered in the last N days. 0 = no date limit (newest first, up to the result limit). Oregon publishes the previous calendar month once a month, so a range under about 45 days can be empty for Oregon.

## `categories` (type: `array`):

Optional. Leave empty for all categories.

## `domesticOnly` (type: `boolean`):

Keep businesses formed in the registering state. Leaves out out-of-state companies that registered there to do business.

## `keywords` (type: `array`):

Keep businesses whose name contains any of these words, e.g. solar, realty, dental. Case-insensitive.

## `maxItems` (type: `integer`):

Total for the whole run, shared evenly across states, newest first within each state. You are charged per result.

## Actor input object example

```json
{
  "states": [
    "new-york",
    "colorado",
    "connecticut",
    "oregon"
  ],
  "registeredWithinDays": 60,
  "categories": [],
  "domesticOnly": false,
  "keywords": [],
  "maxItems": 100
}
```

# Actor output Schema

## `businesses` (type: `string`):

One item per newly registered business: state, registry number, entity name, category, type, status, registration date, principal city and ZIP, NAICS where available, source URL and attribution.

## `runSummary` (type: `string`):

Rows read and results returned per source in this run, with any source errors.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "states": [
        "new-york",
        "colorado",
        "connecticut",
        "oregon"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("jp-data-lab/us-new-business-registrations").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "states": [
        "new-york",
        "colorado",
        "connecticut",
        "oregon",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("jp-data-lab/us-new-business-registrations").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "states": [
    "new-york",
    "colorado",
    "connecticut",
    "oregon"
  ]
}' |
apify call jp-data-lab/us-new-business-registrations --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jp-data-lab/us-new-business-registrations"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/PnpDuIgOZeJJcA96O/builds/1XEotCxeZRNsUoWlp/openapi.json