US New Business Filings: New LLCs & Corporations (NY, CO, CT)

US New Business Filings: New LLCs & Corporations (NY, CO, CT)

Get a feed of newly registered businesses in New York, Colorado and Connecticut: new LLCs, corporations, nonprofits and partnerships, read from each state's official open-data portal. Run it daily and you get only the filings you haven't seen yet, in one clean schema across the three states, with each state's original fields kept alongside.

Price: $0.0015 per filing saved ($1.50 per 1,000). Set maxResults or your maximum cost per run to cap the spend.

What does it do?

• Reads the business-registry datasets that the three states publish on their open-data portals:
  • New York: Department of State, Active Corporations: Beginning 1800 (data.ny.gov)
  • Colorado: Secretary of State, Business Entities in Colorado (data.colorado.gov)
  • Connecticut: Secretary of the State, Connecticut Business Registry – Business Master (data.ct.gov)
• New since last run (the default): returns only filings you haven't received yet. The first run already returns real data: every matching filing from the last 7 days (firstRunLookbackDays, 1 to 90). There's no empty "baseline only" run. Every later run picks up from where the last one stopped.
• Date range: returns every filing between two dates, for backfills or one-off lists.
• Filters run on the portal side, so you only download (and pay for) what you need:
  • state;
  • entity type (LLC, corporation, nonprofit, partnership, cooperative);
  • domestic or foreign;
  • keywords in the name.
• Personal data is kept to a minimum. Rows carry the business's city, state and ZIP. Street addresses are added only if you switch them on, and individuals' names (registered agents, officers) are never included. See Personal data.

Quick start

1. Click Try for free. The prefill reads Colorado's filings from the last 7 days and stops at 50, so the first run returns data straight away.
2. Add New York and Connecticut, filters or keywords, and press Start.
3. Schedule it daily (Console → Schedules) with the same State name to get each day's new filings.
4. Or call it from code:

curl -X POST "https://api.apify.com/v2/acts/clearpath-data~us-new-business-filings/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"states": ["NY", "CT"], "entityTypes": ["llc"], "keywords": ["construction"], "stateName": "ny-ct-construction"}'

Sample output

filingDate	state	entityName	entityTypeGroup	domesticOrForeign	city	postalCode	status
2026-10-16	NY	CLOWERS AI DEVELOPMENT, INC.	corporation	domestic	West Seneca	14224	Active
2026-10-16	NY	INOA MOTIVE INC.	corporation	domestic	BRONX	10460	Active
2026-10-16	CO	Vila Biotechnology LLC	llc	domestic	Lakewood	80226	Good Standing
2026-10-16	CO	Tavernoq Inc	corporation	domestic	Boulder	80302	Good Standing
2026-10-16	CT	STONE NAILS BAR LLC	llc	domestic	Waterbury	06705-2624	Active
2026-10-16	CT	NJSB Construction, LLC	llc	foreign	Glastonbury	06033	Active

Real rows from a test run on 2026-10-19. Connecticut rows also carry an industry code and description (e.g. 238350, "Finish Carpentry Contractors"). Every row has entityType (the state's own type name), jurisdictionOfFormation, sourceUrl, and a raw object holding the state's own fields (minus the personal fields described below).

How many filings to expect. In the same test, 2026-10-12 to 2026-10-18 gave 8,676 filings: NY 4,574, CO 3,173, CT 929. That's about 1,240 a day, and fewer at weekends. It's one week of data, not a forecast.

How "new since last run" works

• Each US state's progress is saved under your State name, in a key-value store named us-new-business-filings-state in your own Apify account. It records the latest filing date delivered and the IDs delivered in the last 7 days.
• Each run first re-checks those 7 days for filings the portal loaded late (new IDs with older dates), then takes everything filed after the last delivered date. You don't get duplicates, and late-loaded filings aren't missed.
• If a run stops at Max results or your maximum cost, the next run continues where it stopped.
• No saved state (new account, or the store was deleted)? Pick an earlier run's dataset in Previous run's dataset and the run continues from there.
• Use a different State name for each schedule or filter set.

Use cases

• B2B sales and lead generation: new LLCs in your area or niche, e.g. keywords "construction", "dental" or "roofing".
• Service providers for new businesses: accountants, banks, insurers, payroll and web agencies looking for companies in their first weeks.
• Market research: formation trends by state, entity type, industry (CT) or ZIP code.
• Compliance and KYC: check a counterparty's registration date and status against the state record.

Input

Field	Default	What it does
states	all three	"NY", "CO", "CT"
mode	"new"	"new" = since last run; "range" = between filedFrom and filedTo
filedFrom / filedTo		"2026-10-01" or relative like "7 days"
firstRunLookbackDays	7	How far back the first run goes (1 to 90)
entityTypes	all	"llc", "corporation", "nonprofit", "partnership", "cooperative", "other"
jurisdiction	"any"	"domestic" (formed in that state) or "foreign" (formed elsewhere, registered there)
keywords		Names containing any of these (case-insensitive)
includeStreetAddresses	false	Add street lines (see Personal data)
stateName	"default"	Name of the saved progress
baselineDatasetId		Continue from an earlier run's dataset instead
updateState	true	Save progress for the next run
maxResults	1000	Stop after this many filings (0 = no limit)

Integrations, schedules and AI agents

• Schedules: Schedule it daily with the same State name to get each day's new filings. See Apify schedules.
• No-code tools: send results to Google Sheets, Slack or a CRM with Apify's Make, Zapier or n8n integrations, or a webhook when a run finishes.
• AI agents (MCP): connect an MCP client such as Claude Code or Cursor to https://mcp.apify.com?tools=clearpath-data/us-new-business-filings and the agent can run this Actor directly. See the Apify MCP server docs.

How much does it cost?

What	Price
New business filing (one row saved)	$0.0015 ($1.50 per 1,000)
Actor start (Apify standard)	$0.00005 per GB of memory, per run

Examples:

• The prefill (Colorado, 50 filings): about $0.08.
• All three states daily, at the test week's rate of about 1,240 filings a day (an estimate): about $1.86 a day.
• New LLCs with "construction" in the name, NY and CT, daily: a few to a few dozen a day, so cents.

Platform usage (compute) is billed by Apify separately as usual. A typical daily run takes seconds at 256 MB.

Personal data: use it responsibly

Business registries are public records, but they contain personal data. Many small businesses register a home address, and registered agents and officers are often named individuals. So this Actor:

• never outputs individuals' names: no individual registered agents, no New York chairman, service-of-process or registered-agent names. They're stripped from raw too. Colorado registered agents that are organisations (e.g. "Northwest Registered Agent LLC") are kept, because they are businesses. New York's agent field doesn't say whether the agent is a person or a company, so it is never included.
• leaves out street addresses by default. Rows have city, state and ZIP only. Street lines are added only if you turn on includeStreetAddresses, and those rows carry personalDataIncluded: true.
• never collects Connecticut's e-mail address fields or its owner-demographic flags (woman-, veteran-, minority-, disability- and LGBTQI-owned).
• Business names themselves sometimes contain a person's name (e.g. "Jane Smith Consulting LLC"); that's part of the public record and can't be removed.

You are responsible for having a lawful basis for how you use this data, under the laws that apply to you: for example the GDPR or UK GDPR if you or the people concerned are in Europe, or US state privacy laws. That matters most if you switch street addresses on. Collect only what you need, keep it only as long as you need it, honour opt-outs and deletion requests, and follow e-mail, phone and postal marketing rules (e.g. CAN-SPAM, the TCPA). Don't use this data to harass anyone or to decide on credit, employment, insurance or housing. If you're unsure, ask a lawyer.

Limits and honest notes

• Three states only: New York, Colorado and Connecticut. Other states aren't covered.
• New York lists active corporations only. A New York entity that dissolved before you ran this won't appear. NY rows have no status field, so they are marked "Active". New York's metadata says the dataset is posted monthly; in the test it had been updated on 2026-10-17, with filings up to 2026-10-16.
• Portals lag by a day or more. Filings appear when each state refreshes its dataset, and some arrive late with older dates (the 7-day re-check catches those).
• What "filing date" means: NY = initial DOS filing date; CO = entity form date; CT = registration date. Foreign entities (registered in a state but formed elsewhere) are included unless you filter them out.
• Entity types are mapped to broad groups. The original type is always kept in entityType. CT "Non-Stock" corporations are grouped as nonprofit.
• Addresses: CO and CT give the principal office. NY gives a location address when one exists, otherwise the service-of-process address (where legal papers go, often a lawyer or agent). See addressType.
• Polite access: no API key or app token. One request at a time per portal, at least 1 second apart, smaller pages when Max results is low, and automatic back-off when a portal says it's busy (HTTP 429). Very large date ranges take a little longer.
• No guarantees from the states: the data is provided "as is". See the notices below.

Sources, licences and notices

• New York: data from the New York State Department of State, via data.ny.gov (dataset), used under the OPEN-NY Terms of Use.

• Colorado: data from the Colorado Department of State, via data.colorado.gov (dataset), public domain. The State of Colorado's terms require this notice, which is also on every Colorado row (sourceDisclaimer):

  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.

• Connecticut: data from the Connecticut Secretary of the State, via data.ct.gov (dataset), public domain, provided "as is".

• This Actor is independent and is not affiliated with or endorsed by any state.

FAQ

How fresh is the data? As fresh as each portal. In the test on 2026-10-19, the latest filing dates were 2026-10-16 (NY), 2026-10-18 (CO) and 2026-10-17 (CT).

Can I get one county or ZIP code? Filter the dataset on county (NY) or postalCode after the run, or use name keywords. There are no address filters in v1.

Why did I get 0 filings? Either nothing new has been filed since your last run, or the portal hasn't refreshed yet. The run report (RUN_REPORT) shows each state's date window and counts.

Can I export to CSV or Excel? Yes. Use the New filings view and download as CSV, Excel, JSON or XML.

Can I get e-mail addresses? No. Connecticut's e-mail fields are deliberately excluded, and the other two states don't publish e-mails.

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