# New Business Filings Scraper – New LLCs CO, CT, NY, OR, $3/1k (`appetizing_horsefly/new-business-filings`) Actor

Extract newly formed LLCs and corporations from Colorado, Connecticut, New York and Oregon state registries. Get business name, entity type, formation date, status, address and registered agent. $0.003 per record.

- **URL**: https://apify.com/appetizing_horsefly/new-business-filings.md
- **Developed by:** [GM Labs](https://apify.com/appetizing_horsefly) (community)
- **Categories:** Lead generation, Business, Automation
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 results

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

## New Business Filings Scraper – New LLCs & Corporations from CO, CT, NY, OR

### What is New Business Filings Scraper?

New Business Filings Scraper pulls **newly formed LLCs, corporations and partnerships** (plus foreign companies newly registered to do business) from the official Secretary of State open-data portals of Colorado, Connecticut, New York and Oregon, in one normalized schema. No login, no CAPTCHA. Built for **lenders, insurance agents, accountants, payroll and merchant-services providers, web designers and B2B sales teams** who sell to brand-new businesses.

### What data can I extract?

`state`, `entityId`, `businessName`, `entityType`, `entityKind` (llc / corporation / partnership / nonprofit / other), `isForeign`, `jurisdictionOfFormation`, `formationDate`, `status`, `principalAddress`, `principalCity`, `principalState`, `principalZip`, `mailingAddress`, `registeredAgentName`, `registeredAgentAddress`, `county`, `email` and NAICS (CT), and `sourceUrl`.

### How much does it cost to scrape new business filings?

Pay per result: **$0.003 per record** ($3 per 1,000), no monthly rental and no start fee. The 20-record prefilled run costs about $0.06, well inside Apify's free monthly credit.

### Why use it

- **Reach businesses on day one:** new companies need banking, insurance, accounting, payroll, websites, equipment and funding.
- **One schema for four states:** CO, CT, NY and OR use the same fields, including a simple `entityKind` (llc / corporation / partnership / nonprofit / other).
- **"New since" date filter:** schedule the Actor and pull only filings made since your last run.
- **Filters:** entity kind, foreign vs. domestic, name keyword (`construction`, `dental`, `holdings`...) and city.
- **No login and no CAPTCHA:** data comes from the states' official open-data APIs (data.colorado.gov, data.ct.gov, data.ny.gov, data.oregon.gov).
- **Pay per result:** you are charged only for records delivered.

### Use cases

1. **Lead generation:** new-business lists for insurance, banking, accounting, payroll, POS and web-design outreach.
2. **Lending and MCA:** build a pipeline of new entities to prospect as they mature.
3. **Registered-agent and compliance services:** see who is forming entities and which agents they use.
4. **Market research:** track business formation trends by state, city and industry.
5. **CRM enrichment and monitoring:** get alerted when a new entity matching a keyword is formed.

### Try it free in 1 click

The input form is **prefilled with a small, working example**. Press **Start** without changing anything: the run returns 20 newly formed LLCs and corporations from CO, CT, NY and OR. Our test run of exactly this input finished in about 7 seconds with 20 results. At list price that is about $0.06, which fits inside the free monthly credit of Apify's free plan. Then swap in your own values.

Prefilled input:

```json
{
  "states": [
    "CO",
    "CT",
    "NY",
    "OR"
  ],
  "maxResults": 20
}
```

### Sample output

Real rows from the prefilled run on 2026-10-14 (5 of 20 results shown; long fields trimmed). Download the full dataset as JSON, CSV or Excel.

| state | businessName | entityType | formationDate | principalCity | status |
|---|---|---|---|---|---|
| CO | VHEP LLC | Domestic Limited Liability Company | 2026-10-12 | Colorado Springs | Good Standing |
| CO | TRG Management Solutions, LLC | Domestic Limited Liability Company | 2026-10-12 | Denver | Good Standing |
| CT | Paper Blueprint LLC | Domestic LLC | 2026-10-12 | Norwalk | Active |
| CT | Infinite Tomorrow, LLC | Domestic LLC | 2026-10-12 | Bridgeport | Active |
| NY | BA TIMEPIECES INC. | DOMESTIC BUSINESS CORPORATION | 2026-10-12 | – | Active |

### Input

| Field | Description | Default |
|---|---|---|
| `states` | `CO`, `CT`, `NY`, `OR` | all |
| `sinceDate` | Formation/registration date on or after (YYYY-MM-DD) | last 7 days |
| `untilDate` | Optional upper bound | – |
| `entityKinds` | `llc`, `corporation`, `partnership`, `nonprofit`, `other` (empty = all) | llc, corporation, partnership |
| `includeForeign` | Include out-of-state companies registering in the state | true |
| `excludeRejected` | Drop rejected filings and name reservations (CT) | true |
| `nameContains`, `cityContains` | Optional filters | – |
| `maxResults` | 0 = unlimited | 200 |

### Example output

```json
{
  "state": "CO",
  "entityId": "20268250711",
  "businessName": "Kladion Group for Trade and Investment LLC",
  "entityType": "Domestic Limited Liability Company",
  "entityKind": "llc",
  "isForeign": false,
  "jurisdictionOfFormation": "CO",
  "formationDate": "2026-10-08",
  "status": "Good Standing",
  "principalAddress": "1500 N Grant St, Ste N",
  "principalCity": "Denver",
  "principalState": "CO",
  "principalZip": "80203",
  "mailingAddress": "1500 N Grant St, Ste N, Denver, CO, 80203",
  "registeredAgentName": "Northwest Registered Agent LLC",
  "registeredAgentAddress": "1500 N Grant St Ste N, Denver, CO, 80203",
  "county": null,
  "email": null,
  "sourceUrl": "https://www.coloradosos.gov/biz/BusinessEntityDetail.do?masterFileId=20268250711"
}
```

### Typical volume

For entities formed 2026-10-01 to 2026-10-09 (all kinds): about 3,800 in CO, 1,250 in CT, 5,700 in NY and 1,860 in OR.

### Data notes

- **Colorado:** Business Entities dataset, updated daily. It can include filings with a future effective date; use `untilDate` to exclude them.
- **Connecticut:** Business Registry master dataset, updated nightly. It includes the business email and NAICS industry when the filer provided them.
- **New York:** Active Corporations dataset (DOS). It provides the service-of-process address (in `mailingAddress`), county and registered agent, but no principal office address. Only entities that are still active are listed.
- **Oregon:** Active Businesses dataset. Address and agent rows are merged into one record per registry number. Assumed business names are tagged `entityKind: "other"`.
- These are public records as published by each state.

### Output

The dataset uses the **overview** table view. The `STATS` record in the key-value store shows, per state, how many source records were found and how many were delivered after filters.

**Keywords:** new business filings, new LLC list, new business leads, newly registered businesses, Secretary of State business data, new corporation filings, business formation data, Colorado new businesses, New York new LLCs, Connecticut business registry, Oregon new business list.

### Use it as an MCP tool (Claude, Cursor, ChatGPT, any AI agent)

This Actor works as a tool in the [Apify MCP server](https://mcp.apify.com), so an AI agent can call it directly and you pay per result, the same as a normal run. Add this server URL to any MCP client:

```
https://mcp.apify.com/?tools=appetizing_horsefly/new-business-filings
```

Sign in with your Apify account (or pass your Apify API token as a Bearer header). The agent reads the input fields above from the Actor's input schema. Example request to the agent: "Find new LLCs formed in Oregon yesterday with a principal address in Portland."

# Actor input Schema

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

Secretary of State sources to pull.

## `sinceDate` (type: `string`):

Formation/registration date on or after. Empty = last 7 days.

## `untilDate` (type: `string`):

Optional upper bound (CO publishes some future effective dates).

## `entityKinds` (type: `array`):

Which entity kinds to include: llc, corporation, partnership, nonprofit, other. Leave empty to include all kinds. Default is LLCs, corporations and partnerships.

## `includeForeign` (type: `boolean`):

Out-of-state companies newly registering to do business in the state.

## `excludeRejected` (type: `boolean`):

CT publishes rejected filings and reservations.

## `nameContains` (type: `string`):

e.g. construction, dental, holdings

## `cityContains` (type: `string`):

Matches principal or mailing address.

## `maxResults` (type: `integer`):

Maximum number of filings to return across all states. 0 means no limit. You are charged per filing returned. Default 200 keeps a first try cheap; set 0 for no cap.

## Actor input object example

```json
{
  "states": [
    "CO",
    "CT",
    "NY",
    "OR"
  ],
  "entityKinds": [
    "llc",
    "corporation",
    "partnership"
  ],
  "includeForeign": true,
  "excludeRejected": true,
  "maxResults": 20
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `stats` (type: `string`):

No description

# 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": [
        "CO",
        "CT",
        "NY",
        "OR"
    ],
    "maxResults": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("appetizing_horsefly/new-business-filings").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": [
        "CO",
        "CT",
        "NY",
        "OR",
    ],
    "maxResults": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("appetizing_horsefly/new-business-filings").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": [
    "CO",
    "CT",
    "NY",
    "OR"
  ],
  "maxResults": 20
}' |
apify call appetizing_horsefly/new-business-filings --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,appetizing_horsefly/new-business-filings"
        }
    }
}
```

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/fV2nqpkGxBekEk6EG/builds/lDiVPYEgFHTzbJgpH/openapi.json