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:

{
  "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

{
  "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, 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."