New Business Filings by State — Secretary of State Data, No Key

New business filings by state, straight from Secretary of State open data: every LLC, corporation, nonprofit and partnership filed in Colorado, Connecticut, Pennsylvania, New York or Oregon — newest first, by filing date, entity type or city — with no API key, no account and no registered agents, officers or personal data. The same register behind every "secretary of state business entity search", delivered as a feed of new business leads instead of one lookup at a time. $2 per 1,000 filings, the first 10 rows free.

• 📄 What you get — one row per business entity: name, state entity ID, entity type (the state's wording and a normalised kind), status, filing date, jurisdiction of formation, principal-office city / state / ZIP (Connecticut adds the NAICS code and the annual-report due date), and a link to the official Secretary of State page.
• 🏛️ Source — the states' own open-data portals (Socrata): Colorado and Connecticut publish the datasets as Public Domain, Pennsylvania and Oregon as Public Domain U.S. Government (Pennsylvania's Data Policy: "offered free and without restriction"), New York under the OPEN-NY Terms of Use ("use it as you wish"). The attribution is on every row.
• 💵 Price — $2 per 1,000 filings ($0.002 a row); Preview gives 10 rows free.
• 🔑 No API key, no account — the portals' documented API answers anonymous requests; the Actor declares who it is and makes one request a second.
• 🔒 No personal data — the request itself names only the entity columns: registered agents, officers, chairmen, parties, e-mail addresses and street lines are never downloaded.
• ⏱️ Time to first result — a page of 1,000 filings is one request (about two seconds); "last week's new LLCs in Colorado" is three or four requests.

State	Entity	Kind	Status	Filed	City	ZIP
CO	Houdini Hauling LLC	llc (DLLC)	Good Standing	2026-09-24	Loveland	80537
CO	Zombotix LLC	llc (DLLC)	Good Standing	2026-09-24	DENVER	80203
CT	Bam Bird Social Club LLC	llc (LLC) · NAICS 459510	Active	2026-09-25	East Lyme	06333-1171
PA	Gibbens Flooring Llc	llc (Domestic Limited Liability Company)	Active	2026-09-02	Erie	16509-5853
NY	STRAWBERRY GAR CORP.	corporation (DOMESTIC BUSINESS CORPORATION)	Active	2026-09-25	NEW YORK	10040
OR	ROSE BRIDGE THERAPY GROUP LLC	llc (DOMESTIC LIMITED LIABILITY COMPANY)	Registered	2026-08-14	PORTLAND	97239

Real rows read from the five portals on 26 Sep 2026 (state + filedFrom, newest first). Every row also carries the entity ID, the jurisdiction of formation, the official register link and the attribution.

Price: $2 per 1,000 filings — 10 rows free in Preview. Apify's free plan ($5 of credit a month) covers about 2,500 filings a month at no cost to you.

Try it in 60 seconds

1. Tick Preview (10 filings, free) and press Start: ten real Colorado filings, no charge.
2. Untick Preview and press Start again: the form is prefilled with Colorado, LLCs, 200 rows — the newest 200 LLC filings, back in seconds.
3. Download CSV, Excel or JSON — or call it from code:

curl -X POST "https://api.apify.com/v2/acts/rein8~us-state-business-filings/run-sync-get-dataset-items?token=$APIFY_TOKEN&format=csv" \
  -H 'Content-Type: application/json' -d '{"state":"CO","filedFrom":"2026-09-19","entityType":"llc","maxItems":1000}'

What does this new-business-filings Actor do?

It reads a state's business register — the same data behind every "secretary of state business search" — from the state's own open-data portal, and gives you the filings as clean rows: the newest first, or a filing-date window, one kind of entity, a city, or words in the name. Save it as a Task per state, schedule it, and with Only filings not delivered before it becomes a new business filings feed: each run delivers only the entities that were not delivered before.

When to use it: a newly incorporated companies list for a state or a city, a business-formation feed for sales and lending teams, a check that a company exists and its filing date and status, a count of new LLCs per month. Not a Secretary of State search page scraper: a search-page tool reads one entity at a time from a state website with a query limit; this Actor reads the state's published dataset in pages of 1,000 rows under the portal's own public-domain or open terms. If you need registered agents, officers or a state that is not one of these five, this is not the right tool — see the FAQ.

Five states today. Colorado (Department of State, updated daily), Connecticut (Secretary of the State, daily), Pennsylvania (Department of State, a monthly file of current registrations), New York (Department of State, active corporations, filings up to the previous business day when read) and Oregon (Secretary of State Corporation Division, the monthly file of businesses registered last month). One state per run; five saved Tasks cover all five.

Coverage by state

State	Dataset (agency)	Updated	Entities	What status means	Notes
CO	Business Entities in Colorado (Department of State)	daily, after midnight	3.06 M since 1864	the register's status: Good Standing, Delinquent, Voluntarily Dissolved…	delayed-effective formations carry a future filing date (a filing read on 26 Sep can say 2026-11-01) — left out by default (an empty filedTo is capped at today); includeFuture lets them in
CT	Business Registry, Business Master (Secretary of the State)	daily	1.28 M	Active, Forfeited, Dissolved, Withdrawn…	name reservations and rejected filings are dropped; NAICS code and annual-report due date on every row
PA	Registered Businesses in PA, Current by County (Department of State)	monthly (about the 2nd)	2.36 M current registrations	fixed "Active" (current registrations only)	one row per filing (the source lists one row per officer; the request groups them); county on every row
NY	Active Corporations: Beginning 1800 (Department of State)	daily in practice (metadata says monthly)	4.2 M active	fixed "Active"	filings up to the previous business day; county; the executive-office city, else the city of the address for service of process
OR	New Businesses Registered Last Month (Secretary of State, Corporation Division)	monthly (mid-month)	last month's registrations (~3,000 entities)	fixed "Registered" (new registrations only)	the state's file can cover part of a month (Sep 2026: 3–14 Aug); assumed business names (DBAs) are dropped

Official source, open terms, company-level only. The Actor reads only the five documented dataset endpoints, identifies itself on every request, makes one request a second and never uses an application token. The request names the entity columns only — the person columns of each dataset are never downloaded.

Why use Secretary of State filing data?

• New-business lead lists — every LLC or corporation filed last week in a state, with city and ZIP: the list that merchant-services, insurance, payroll, web-design, signage and office-supply sellers buy from list brokers at $99–500 a month.
• Lenders, insurers and KYB teams — a filing date and a status straight from the register: the business exists, when it was formed, whether Colorado marks it Delinquent or Connecticut marks it Forfeited.
• Market sizing — how many LLCs were formed in Denver this quarter; new nonprofits in Connecticut this year; foreign corporations registering in Pennsylvania.
• Monitoring — a daily or weekly Task with Only filings not delivered before: a feed of new filings for your territory, with status changes marked _changed.
• Compliance-friendly — public-domain and open-terms datasets from the states themselves, no agent or officer names, no e-mail addresses, no street lines.

Why this one

	This Actor
Source	The states' open-data portals (Socrata), the datasets published by each Secretary / Department of State
Account or API key	None — no app token, no login
Coverage	Colorado 3.06 M entities · Connecticut 1.28 M · Pennsylvania 2.36 M current registrations · New York 4.2 M active corporations · Oregon last month's registrations; 20,000+ new filings a fortnight across the five
Personal data	None: the request selects entity columns only
Price	$0.002 a row, filtered-out rows never charged
Feed	Newest first + incremental memory per Task = a new-filings feed with a schedule

How this compares

A Secretary of State business search Actor answers one name at a time from a state website (fine for a lookup, no feed). List brokers sell "new businesses this month" nationally from $99.75 a month. This Actor is the register itself for five states, in bulk, filterable, at $2 per 1,000 rows, with the state's own terms on every row.

Examples — ready-made inputs

Examples (one click)

Each example below is also a public Task with its own page — open it, press Start, and the input is already filled in:

• New Colorado LLCs this week
• Colorado new corporations, weekly
• New businesses in Denver and Aurora this week
• Connecticut new LLCs, daily
• Connecticut new businesses, monthly
• Connecticut new construction businesses
• Pennsylvania new corporations, monthly
• Pennsylvania new LLCs, monthly
• New York new LLCs, daily
• Oregon new businesses, monthly

Or copy one into the JSON tab of the input, or save it as a Task.

New Colorado LLCs this week (new-colorado-llcs-this-week — schedule weekly; the first run delivers the newest 3,000 LLCs, later runs only the ones not delivered yet):

{ "state": "CO", "entityType": "llc", "incremental": true, "maxItems": 3000 }

Pennsylvania new corporations — monthly (pennsylvania-new-corporations-monthly — the PA file is monthly, so a monthly schedule; corporations only):

{ "state": "PA", "entityType": "corporation", "incremental": true, "maxItems": 5000 }

Connecticut new businesses — monthly (connecticut-new-businesses-monthly — every entity type, one month):

{ "state": "CT", "filedFrom": "2026-09-01", "filedTo": "2026-09-30", "maxItems": 10000 }

New York new LLCs — daily (new-york-new-llcs-daily — about 500 a business day; schedule every morning):

{ "state": "NY", "entityType": "llc", "incremental": true, "maxItems": 2000 }

Colorado new businesses in Denver and Aurora — weekly (denver-new-businesses-weekly — a city list with incremental memory keeps each run to a few pages):

{ "state": "CO", "city": "Denver, Aurora", "incremental": true, "maxItems": 2000 }

Connecticut new construction businesses — weekly (connecticut-new-construction-businesses — Connecticut publishes the NAICS code each business declared; prefix 23 = construction):

{ "state": "CT", "naicsPrefix": "23", "incremental": true, "maxItems": 2000 }

Oregon new businesses — monthly (oregon-new-businesses-monthly — the state replaces the file mid-month; LLCs, corporations and nonprofits, no assumed business names):

{ "state": "OR", "incremental": true, "maxItems": 5000 }

Ten ready-made Tasks in all (also: Colorado new corporations weekly, Connecticut new LLCs daily, Pennsylvania new LLCs monthly): pick the state, the cadence the state publishes at, and the kind of entity.

How to scrape new business filings by state — three steps

1. Pick the State (one per run).
2. Add filters: a filing-date window (sent to the source as a date condition, so only matching rows are read), an Entity type (LLCs, corporations, nonprofits, partnerships, other), a city list, words in the name. With nothing set, the newest filings come first.
3. Set Max filings (default 1,000 = one request) and run. Download the dataset as JSON, CSV or Excel, or read it through the API. Optional: tick Only filings not delivered before and schedule the Task — each run delivers only new filings.

Tick Preview for 10 filings free of charge.

Input

Field	What it does
state	CO, CT, PA, NY or OR — the register to read (default CO)
filedFrom / filedTo	YYYY-MM-DD, both inclusive; an empty filedTo is capped at today (see includeFuture); sent to the source as a condition on the state's filing-date column (Colorado formation date, Connecticut registration date, Pennsylvania creation date, New York initial DOS filing date, Oregon registry date). The dates are the state's own calendar dates (no time zone); Oregon's carry a time of day, so filedTo there means the end of that day
includeFuture	false (default) leaves out filings dated after today — Colorado's delayed-effective formations; true includes them (they lead the newest-first list). Your own filedTo always wins
entityType	any (default), llc, corporation, nonprofit, partnership, other — matched on the normalised entityClass after each page; filtered-out rows are never charged
city	one or more principal-office cities, comma-separated, case-insensitive
naicsPrefix	Connecticut only: a 2–6 digit NAICS prefix (23 = construction, 722 = food services) matched on the code the business declared; the other states publish no NAICS code, so leave it empty there
nameContains	words that must appear in the entity name (sent to the source's full-text search, then checked on the name)
maxItems	rows to deliver (the form prefills 200; an API call without a value gets 50; a page is 1,000 rows; at most 300 pages a run)
incremental / stateKey	deliver only entities not delivered before; every saved Task gets its own memory
preview	10 rows, free

What data can this Actor extract?

All fields

Field	Meaning
state	CO, CT, PA, NY or OR
entityId	the state's entity identifier (Colorado entity ID, Connecticut business ID, Pennsylvania filing number, New York DOS ID, Oregon registry number)
name	entity name as registered
entityType	the state's own wording (Colorado code DLLC, Connecticut LLC / Stock / Non-Stock, Pennsylvania Domestic Limited Liability Company, New York and Oregon DOMESTIC BUSINESS CORPORATION)
entityTypeText	Colorado: the code spelled out as on the Secretary of State's abbreviations page (DT = Ditch company; empty for a code the page does not list — the code is authoritative)
entityClass	normalised kind: llc, corporation, nonprofit, partnership, other — New York's 40+ wordings are classed by phrase (a New York "public benefit corporation" is a state authority, so other; housing development fund companies and benevolent orders are nonprofit)
status	as published (Colorado Good Standing / Delinquent / Voluntarily Dissolved…, Connecticut Active / Forfeited / Dissolved…); Pennsylvania and New York list current or active entities only, so Active; Oregon's file lists new registrations, so Registered
subStatus	Connecticut: e.g. "First report due"
filingDate	filing / formation / registration date, YYYY-MM-DD
jurisdiction	where the entity was formed (a Connecticut foreign entity formed in New Hampshire says so)
jurisdictionType	Connecticut: Domestic or Foreign
county	Pennsylvania and New York
city, stateCode, zip, country	the principal office — city, state and ZIP only, never a street line (New York: the executive-office city, else the city of the address for service of process)
naicsCode, naicsText	Connecticut: the NAICS code and industry the business declared
annualReportDue, dissolutionDate	Connecticut
registryUrl	the official page: Colorado a deep link to the entity, Connecticut a name search, Pennsylvania, New York and Oregon the official business search
summary	one sentence for AI agents, e.g. Zombotix LLC (CO 20268198391) is a llc (DLLC), Good Standing, filed 2026-09-24, formed under CO law, principal office in DENVER CO 80203.
_source, _licence, _sourceUrl	attribution per state, on every row
_changed	incremental mode: the row came back because a delivered field changed
scrapedAt	when the row was read

Example output

{
  "state": "CO",
  "entityId": "20268198391",
  "name": "Zombotix LLC",
  "entityType": "DLLC",
  "entityTypeText": "Domestic Limited Liability Company",
  "entityClass": "llc",
  "status": "Good Standing",
  "filingDate": "2026-09-24",
  "jurisdiction": "CO",
  "city": "DENVER",
  "stateCode": "CO",
  "zip": "80203",
  "country": "US",
  "registryUrl": "https://www.sos.state.co.us/biz/BusinessEntityDetail.do?quitButtonDestination=BusinessEntityResults&nameTyp=ENT&masterFileId=20268198391&entityId2=20268198391&fileId=20268198391&srchTyp=ENTITY",
  "summary": "Zombotix LLC (CO 20268198391) is a llc (DLLC), Good Standing, filed 2026-09-24, formed under CO law, principal office in DENVER CO 80203.",
  "_source": "Colorado Department of State (CDOS) — Business Entities in Colorado, data.colorado.gov",
  "_licence": "Public Domain (dataset licence field, data.colorado.gov, read 26 Sep 2026) — data.colorado.gov Terms of Service: \"The data made available here has been modified for use from its original source, which is the State of Colorado.\"",
  "_sourceUrl": "https://data.colorado.gov/d/4ykn-tg5h",
  "scrapedAt": "2026-09-26T15:40:12.000Z"
}

A Connecticut row adds subStatus, jurisdictionType, naicsCode ("459510"), naicsText ("Used Merchandise Retailers"), annualReportDue and dissolutionDate; Pennsylvania and New York rows add county; an Oregon row carries status "Registered" and the registry number as entityId.

Output

One dataset item per business entity (fields above), plus a STATS record in the key-value store: counts, pages read, the state read, the identity and pacing used, and any errors. The dataset has two views: Filings (the overview) and Lead list (name, kind, filing date, city / state / ZIP, county, NAICS, status, official page).

If this helped, an honest review on the Store page helps others find official-source company data; if it did not, an issue on the Issues tab gets a reply within one business day.

Fields for AI agents. Every row carries summary, one plain-English sentence built from the row with empty values left out. A finished run's status line names the row count.

How much will it cost to get new business filings?

Event	When	Price
result	each entity delivered	$0.002

So $2 per 1,000 filings.

Scenario	Rows	Cost
Preview	10	$0
Newest 1,000 Colorado filings	1,000	$2.00
New Colorado LLCs in one week	~2,400	~$4.80
New York new LLCs, one business day	~500	~$1.00
Connecticut, one month, every type	~5,000	~$10.00
Oregon, last month's file (LLCs, corporations, nonprofits)	~2,500	~$5.00
Weekly feed of new filings in two Colorado cities	~150–400 / week	~$0.30–0.80 / week

You are charged only for rows delivered: a row filtered out by entity type, city or name is read but never charged, duplicates inside a run are never charged, and the Actor stops cleanly at your maximum charge. In incremental mode an entity delivered before is charged again only when it comes back changed (marked _changed, e.g. a status that moved from Good Standing to Delinquent).

Apify adds its own Actor start event on top of these prices: $0.00005 per GB of run memory, once per run (about $0.0001 at 2 GB, $0.0002 at 4 GB). It is the platform's charge, not this Actor's, and it shows as "Actor start" on your bill.

Integrations and automation

• API (curl): curl -X POST "https://api.apify.com/v2/acts/rein8~us-state-business-filings/run-sync-get-dataset-items?token=$APIFY_TOKEN&format=csv" -H 'Content-Type: application/json' -d '{"state":"CT","filedFrom":"2026-09-01","maxItems":5000}'
• Python: ApifyClient(token).actor("rein8/us-state-business-filings").call(run_input={"state": "NY", "entityType": "llc", "maxItems": 2000}) then client.dataset(run["defaultDatasetId"]).iterate_items().
• Schedule + Google Sheets: a daily or weekly schedule with Only filings not delivered before on, and the Apify → Google Sheets integration in append mode, is a new-business feed for your territory.
• n8n / Make / Zapier: Apify node → Run actor → Get dataset items → CRM, Slack, e-mail.
• AI assistants: see the next section — this Actor is an MCP tool.

Use with AI agents (MCP, Claude, Cursor)

Add the Actor to Claude Desktop, Claude.ai, Cursor, VS Code or ChatGPT through Apify's hosted MCP server — one URL, OAuth on first connect, no API token in the config:

https://mcp.apify.com?tools=rein8/us-state-business-filings

{ "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com?tools=rein8/us-state-business-filings" } } }

You ask	The Actor runs with
"New LLCs filed in Colorado last week"	state: "CO", entityType: "llc", filedFrom: <7 days ago>
"Roofing companies registered in Pennsylvania since August"	state: "PA", nameContains: "roofing", filedFrom: "2026-08-01"
"How many nonprofits were formed in Connecticut this year?"	state: "CT", entityType: "nonprofit", filedFrom: "2026-01-01" — count the rows
"New businesses in Brooklyn this month"	state: "NY", city: "Brooklyn", filedFrom: <first of month>
"Is Zombotix LLC registered in Colorado, and since when?"	state: "CO", nameContains: "Zombotix" — read status and filingDate

Where the data comes from — and why it is clean

Each state reads one published dataset through the portal's documented API, with a fixed column list on every request:

• Colorado — Business Entities in Colorado, Colorado Department of State (CDOS), data.colorado.gov, licence field Public Domain, updated every day after midnight. The portal's Terms of Service ask applications using the data to carry this text, which we do: "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 — Connecticut Business Registry – Business Master, Secretary of the State, Business Services Division, data.ct.gov, licence field Public Domain, updated daily.
• Pennsylvania — Registered Businesses in PA Current by County, Pennsylvania Department of State, data.pa.gov, licence field Public Domain U.S. Government; the PA Data Policy: "Data sets available through data.pa.gov are offered free and without restriction." Credit as the policy asks: Data retrieved from data.pa.gov (https://www.data.pa.gov/). A monthly file of current registrations.
• New York — Active Corporations: Beginning 1800, New York State Department of State, Division of Corporations, data.ny.gov, under the OPEN-NY Terms of Use: "You are welcome to freely download and use this Content as long as you abide by these Terms of Use" — no attribution or registration required.
• Oregon — New Businesses Registered Last Month, Oregon Secretary of State, Corporation Division, data.oregon.gov, licence field Public Domain U.S. Government; a monthly file ("New businesses registered with the Secretary of State Corporation Division during the previous month").

What is never downloaded. Colorado's registered-agent name columns and every street or mailing address; Connecticut's business e-mail addresses, owner-demographics flags and street lines; Pennsylvania's officer rows (the dataset lists one row per officer — the request groups them into one row per filing and never selects the name columns); New York's chairman, registered-agent and process-name columns and every street line; Oregon's registered-agent, member, manager, president, secretary and "individual with direct knowledge" rows (the file lists one row per associated name — the request asks for the principal-place-of-business row only and never selects the name or street columns). The request itself carries the column list, so a person column cannot slip in.

Unofficial: not affiliated with, endorsed by or reviewed by any Secretary of State, Department of State or state open-data portal. This describes the sources' published terms; it is not legal advice.

Limits and honest notes

• Five states. Colorado, Connecticut, Pennsylvania, New York, Oregon. Fifteen more were checked (Washington, Vermont, Utah, Iowa, Minnesota, Missouri, Maryland, Virginia, New Jersey, Massachusetts, Wisconsin, Oklahoma, Arkansas, Hawaii, Nevada): they sell their registers, require a login or a signed licence, or publish no dataset with a stated licence; a state is added only when its portal's own words permit reuse.
• Pennsylvania and Oregon are monthly — Pennsylvania refreshes its file about once a month; Oregon replaces its "last month" file mid-month, and that file can cover part of a month only (the September 2026 file held 3–14 August). A daily PA or OR Task would usually be empty. New York's metadata says monthly but the rows carry the previous business day's filings when read.
• Pennsylvania, New York and Oregon carry no status — the Pennsylvania and New York datasets list current / active entities only (status "Active"); Oregon's lists new registrations (status "Registered"). Colorado and Connecticut publish the real status, including delinquent, forfeited and dissolved entities.
• Connecticut name reservations and rejected filings are dropped — the Business Master table also holds reserved names and rejected filings; they are not businesses, so they are filtered out and never charged.
• Future filing dates exist — Colorado publishes delayed-effective formations with their effective date (a filing read on 26 Sep 2026 can say 2026-11-01). They are left out by default: an empty filedTo is capped at today (UTC) when the run starts. Set includeFuture to true to include them (they then lead the newest-first list); your own filedTo date always wins.
• Status changes are noticed on the pages a run reads — in incremental mode a run reads newest-first and stops at the first page with nothing new, so a changed status (_changed) is reported for entities on those pages, not for the whole register.
• 300 pages a run (300,000 rows). Use a filing-date window to reach older filings; city, entityType and naicsPrefix are applied after each page, so combine them with a date window or with incremental mode.
• Not for: registered agents, officers or owners; e-mail addresses or phone numbers; street addresses; assumed business names / DBAs; states other than the five; a live check against the Secretary of State website (use registryUrl for that).

FAQ, Disclaimers, and Support

What is the basis for using this data? The five datasets are published by the states on their open-data portals as public domain (Colorado, Connecticut, Pennsylvania, Oregon) or under the OPEN-NY Terms of Use (New York), which permit use including commercial use; the Actor reads them only through the portals' documented API. This is a description of the sources' own published terms, not legal advice.

Intended use: market research, B2B lead lists of newly formed businesses, verification of a company's existence, filing date and status, monitoring of new filings. It is not a tool for profiling individuals, and it does not output personal data.

Personal data / GDPR: the source datasets also hold registered agents, officers, chairmen, (Oregon) members and managers and (Connecticut) business e-mail addresses. This Actor never downloads those columns — the request names the entity columns only — and delivers no street line. A one-person LLC's principal-office ZIP can still be a home ZIP: use the data for B2B purposes only, keep it current, and honour removal requests. If you combine this output with personal data from other sources, you are responsible for having a lawful basis (GDPR where it applies, US state privacy laws).

Is it affiliated with a state? No. Not affiliated with, endorsed by, or reviewed by any Secretary of State, Department of State or open-data portal.

Do I need an API key or an account?

No. The portals answer anonymous API requests; the Actor identifies itself on every request, makes one request a second and never uses an application token.

How fresh is the data?

Colorado and Connecticut update daily; New York's rows carry the previous business day's filings when read; Pennsylvania refreshes about monthly; Oregon's "last month" file is replaced mid-month. scrapedAt on every row is when it was read.

Is this a Secretary of State business search?

It reads the same register, but as a feed: instead of one name at a time on the state's search page, you get every filing in a date window, a kind of entity, a city or a sector, in pages of 1,000 rows, and — with Only filings not delivered before on a schedule — only the new business filings each day, week or month. For a single-entity check, nameContains plus status and filingDate answer "does it exist, since when, is it in good standing"; registryUrl opens the official page.

Can I get only new filings on a schedule?

Yes: turn on Only filings not delivered before and schedule the Task daily or weekly. Rows come newest-first, so each run reads pages until it meets filings it already delivered and returns only the new ones. An entity delivered before comes back only when a delivered field changed (marked _changed) — a Colorado status moving to Delinquent, a Connecticut dissolution date.

Why are there no registered agents, officers or e-mail addresses?

By design: they are people. In most small LLCs the registered agent is the owner at a home address, and Pennsylvania's and Oregon's files list one row per officer, member or manager by name. The request itself names the entity columns only (Colorado's ten, Connecticut's seventeen…), and for Pennsylvania and Oregon it asks for one row per registration, so the person columns never reach the Actor — there is nothing to filter out afterwards and nothing to leak. A registered-agent name is also a poor lead: it is usually a formation service (LegalZoom, Registered Agents Inc). If you need agents or officers, this is not the right tool. Removal requests: open an issue in the Issues tab or write to rein8.actors@gmail.com — rows are refreshed from the register on the next run.

Which entity types are "other"?

Trusts, cooperatives, credit unions, banks and insurance companies, savings and loans, unincorporated associations, professional associations, authorities — anything the state does not class as an LLC, a corporation (business, profit, professional, benefit, nonprofit) or a partnership (LP, LLP, LLLP, GP). The state's own wording is always in entityType.

How do I export to Google Sheets, CSV or Excel?

Every run's dataset downloads as CSV, Excel, JSON or XML from the Storage tab or the API (?format=csv); the Apify → Google Sheets integration appends new rows on a schedule. The Lead list view (Storage → dataset → view) downloads a CRM-ready CSV.

What does this Actor NOT do?

People search, agent or officer lookup, e-mail or phone lookup, street addresses, credit scores, states other than Colorado / Connecticut / Pennsylvania / New York / Oregon, or a live query of a Secretary of State website.

Support: open an issue on the Actor's Issues tab — questions and field requests are answered within one business day. If this Actor saves you a list-broker subscription, a review on the Store page helps others find official-source data.

More official-data Actors by rein8

Same rules on every one: the source's own open route, no API key, the licence on every row, company-level data only.

• Form D Scraper — Startup Funding Leads from SEC Form D, No Key — every private raise filed with the U.S. SEC, as a daily feed of clean rows.
• LEI Lookup & Changes — Legal Entity Identifier Data, No API Key — a state file number in, the entity's LEI and parent group out (registerIds with the state's register code).
• Public Tenders UK & EU — Contracts Finder, Find a Tender, TED — public tenders and contract awards with the winning companies.
• Companies House Data — UK Company Search, No API Key — every live UK company from the free monthly snapshot.
• UK Company Watch — Companies House Changes on Your List, No Key — a monthly change feed on a list of UK company numbers.
• UK Company Accounts Data — Companies House Accounts, Net Assets — net assets, cash, employees from UK accounts filings.
• Sirene Company Search — France SIREN/SIRET Lookup, No API Key — the French State's own company API.

Changelog

• 0.2.2 (2026-09-26, unpublished) — an empty filedTo is capped at today, so Colorado's delayed-effective (future-dated) formations no longer lead the feed; includeFuture brings them back.
• 0.1 (2026-09-26) — first release: Colorado, Connecticut, Pennsylvania, New York and Oregon; filing-date window, entity type, city, name and (Connecticut) NAICS filters; newest-first paging with incremental memory per Task; company-level columns only, pinned on the request; attribution per state on every row.