US New Business Registrations - New LLC & Corp Leads
Pricing
from $3.00 / 1,000 new registration detecteds
US New Business Registrations - New LLC & Corp Leads
Daily feed of NEWLY registered LLCs and corporations from official state business registers (open data, no scraping). Filter by state, entity type, name keyword or NAICS industry. Emits only entities it has never seen - schedule it and feed your B2B lead pipeline.
Pricing
from $3.00 / 1,000 new registration detecteds
Rating
0.0
(0)
Developer
Daniel Matthee
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 days ago
Last modified
Categories
Share
US New Business Registrations Feed — New LLC & Corp Leads
Every business that registered with Colorado, New York, Connecticut or Oregon in the last few days, pulled from each state's own official open-data business register and normalised into one schema. Run it on a schedule and each run gives you only the entities it has never seen before — a clean daily list of brand-new companies, not a re-download of the whole register.
No API keys. No login-walled Secretary-of-State search portals. Every source is the state's own published open data.
What makes this different from a business-entity search scraper
Most "Secretary of State" actors are lookup tools: you type a company name, they return that company. Useful for KYB, useless for prospecting. This is a monitor: it remembers what it has already delivered (per-state watermark + seen entity ids in a named key-value store) and emits the delta. Schedule it daily and you pay only for genuinely new registrations.
Example output (one real record, trimmed)
{"state": "ct","entityId": "3507270","name": "Rapid Northeast Transport LLC","entityType": "llc","entityTypeRaw": "LLC","registrationDate": "2026-08-30","status": "Active","principalCity": "Stonington","principalState": "CT","zipCode": "06379","naicsCode": "484110","naicsDescription": "General Freight Trucking, Local","sourceUrl": "https://data.ct.gov/resource/n7gp-d28j.json?accountnumber=3507270","detectedAt": "2026-09-01T06:58:12Z"}
State coverage (honest version)
Measured live on 1 September 2026. "New per week" is entities with a registration date in the previous 7 days.
| State | Register | New/week | Refresh | Status | Industry code (NAICS) |
|---|---|---|---|---|---|
| Colorado | Business Entities in Colorado | ~3,400 | Daily | ✅ published | ✗ |
| New York | Active Corporations (DOS) | ~4,000 | Daily | — not published | ✗ |
| Connecticut | CT Business Registry — Business Master | ~875 | Daily | ✅ published | ✅ ~99% of records |
| Oregon | Active Businesses — ALL | ~1,800 | Weekly | — not published | ✗ |
Read this before you schedule it: Oregon's register refreshes about once a
week and lands with a few days' lag, so at the default sinceDays=7 an Oregon
refresh can fall outside the window. If you want reliable Oregon coverage,
set sinceDays to 14. Colorado, New York and Connecticut are same-day
reliable at the default.
Why only four states? There is no federal register — each of the 50 states publishes (or doesn't) on its own terms, which is exactly why this data is hard to buy. These four publish entity-level registrations as a live open-data API. We deliberately do not scrape login-walled or CAPTCHA'd Secretary-of-State search portals: it breaks constantly and we would rather ship four states that work every morning. States we checked and could not ship yet: Pennsylvania (publishes, but only as a monthly snapshot ~1 month behind), Hawaii (dataset frozen since 2022), Washington, Vermont, Maryland, Iowa (no entity-level register published at all). More states get added as they publish — see the changelog.
Input options
| Field | Type | Default | What it does |
|---|---|---|---|
states | array | all four | Which registers to check. |
entityTypes | array | all | llc, corp (profit/nonprofit/benefit/stock) or other (partnerships, assumed business names, co-ops). The register's own wording is always kept in entityTypeRaw. |
nameContains | string | — | Only names containing this text, case-insensitive. solar, dental, trucking, realty. |
naicsOrPurposeKeywords | array | — | Only entities whose published industry classification matches a keyword or NAICS code (trucking, 484110). Only Connecticut publishes an industry code, so setting this excludes every other state. |
sinceDays | int | 7 | How many days back to scan. Your first run is the backfill; later runs emit only what is new. Use 14+ for Oregon. |
maxItems | int | 1000 | Cap per run, split fairly across the states you selected, so a small cap never gives you one state and nothing else. Anything over the cap carries over to the next run. |
stateStoreName | string | us-new-business-registrations-state | Named key-value store holding the watermarks and seen ids. Change it to reset the monitor and re-emit the backfill. |
This is a standing-subscription feed: set your filters once and schedule
it. An entity your filter rejected is recorded as already inspected, so
broadening the filter later never re-bills you for old registrations — and, by
the same token, running a different one-off query against the same
stateStoreName will not re-surface entities the earlier one rejected. Give
each standing query its own store name.
Note on your first run: a 7-day backfill across all four states is roughly
8,000 registrations, above the default maxItems of 1000. The cap is honoured,
and the remainder carries over run by run in date order — nothing is skipped.
Raise maxItems if you want the whole backfill at once.
Use cases
"Every new LLC in Colorado this morning, in my CRM by 9am." Schedule daily
with states: ["co"]. New companies need banking, insurance, payroll,
bookkeeping, a website and a phone system — and nobody has called them yet.
Registration day is the highest-intent moment in a B2B funnel.
"Only new Connecticut trucking and construction companies." Set
states: ["ct"] and naicsOrPurposeKeywords: ["trucking", "construction"].
Connecticut publishes a NAICS code on ~99% of registrations, so you get an
industry-targeted lead list instead of an alphabet soup of new LLCs.
"Every new solar or HVAC business across all four states." Set
nameContains: "solar" (then a second scheduled run for hvac). Suppliers,
franchisors, equipment financiers and trade insurers use this to find new
competitors and new customers the week they form.
"Feed our KYB/data product with fresh entities." The record is stable and
documented (RegistrationV1 in openapi.yaml), one schema across four
registers, with sourceUrl back to the state's own row for verification.
What we deliberately do NOT collect
Every one of these registers publishes more than this actor returns. We take
the entity's identity plus a city/state/zip locality — never a street
address, because a one-person LLC's principal address is frequently the
founder's home and nothing in the source data flags it. We also never collect
registered-agent or officer personal names, and never the business email
address Connecticut publishes. If you need agent or officer detail for a
specific entity, sourceUrl takes you to the state's own record.
Maintenance
- Schema checked weekly against all four registers; a portal that changes a field name logs one clear warning and keeps the other states running.
- One state's register being down degrades to a warning and leaves that state's position untouched — the other states still deliver, and nothing is skipped when it comes back. If every register fails the run fails loudly rather than reporting a quiet day.
Pricing (pay per event)
| Event | Price |
|---|---|
| Actor start | $0.005 per run |
| New registration detected | $0.003 per entity |
| State register checked | $0.001 per state |
A daily run across all four states at steady state is roughly 1,200 registrations — about $3.65/day if you take everything, and much less with filters, because you are only charged for registrations that pass them.
Changelog
- 0.1 (1 Sep 2026) — first release: Colorado, New York, Connecticut, Oregon. Next up: Pennsylvania (needs a wider window for its monthly snapshot), then any state that starts publishing.