New Business Filings — US State Registry Leads Feed

What this Actor scrapes

This Actor pulls a date-range feed of newly-formed US business entities straight from official state Secretary-of-State open-data registries — New York, Colorado, Connecticut, and Oregon in v1. Give it a dateFrom (and optionally a dateTo), and it returns one row per entity that registered within that window, sorted newest-first.

This is not a name-search/verification tool — you don't need to know the company names in advance. It's built for the opposite use case: who just formed a company? That's the raw stream sales, banking, insurance, payroll, and SaaS onboarding teams want to reach while the ink is still wet. (Need to verify a *known* company name instead? See our sibling Actor, opencorporates-alternative-scraper.)

What we handle for you

• 🛡️ Browser fingerprint rotation — curl-cffi impersonates real Chrome / Firefox / Safari TLS handshakes so every request looks like a browser, not Python.
• 🔁 Retries with exponential backoff on 408 / 429 / 5xx — up to 5 attempts per request, Retry-After honoured.
• 🧱 Graceful degradation per state — if one state's dataset hiccups, that state is skipped with a warning; the rest of the run keeps going.
• 🌐 Full pagination — up to 10,000 rows per jurisdiction per run, paginated automatically via $offset.
• 🧊 Clean, typed dataset rows — Pydantic-validated, ISO-8601 timestamps, a shared cross-state schema despite each state publishing wildly different raw field names.
• 💰 Pay-Per-Event pricing — you only pay for rows that land in your dataset. No data, no charge (beyond the small warm-up fee).

Use cases

• Business banking & commercial insurance outreach — reach brand-new entities before incumbents do.
• Payroll / benefits / SaaS onboarding vendors — target companies at the exact moment they need these tools.
• Marketing agencies — build fresh, low-competition prospect lists that competitors haven't touched yet.
• Market research — track new-entity formation volume and entity-type mix over time, per state.
• Feed a CRM on a schedule — pair this with an Apify Schedule for a rolling daily/weekly new-filings feed.

Input

Paste this into the Apify Console, or send it as the run input over the API. Proxy settings are on by default; you rarely need to touch them.

{
  "dateFrom": "2026-07-01",
  "dateTo": "2026-07-19",
  "jurisdictions": [
    "NY",
    "CO",
    "CT",
    "OR"
  ],
  "entityTypes": null,
  "maxResultsPerJurisdiction": 1000,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

Output

One row per result, schema-validated before it is written. Export JSON, CSV, Excel or XML from the run, or read it over the API.

entity_identity_namejurisdictionentity_typeformation_datestatusprincipal_addressregistered_agent_nameregistered_agent_addresssource_record_urlregistry_urlscraped_at

{
  "entity_id": "7969358",
  "entity_name": "URGB LLC",
  "jurisdiction": "NY",
  "entity_type": "DOMESTIC LIMITED LIABILITY COMPANY",
  "formation_date": "2026-07-17",
  "status": null,
  "principal_address": null,
  "registered_agent_name": "URGB LLC",
  "registered_agent_address": "32 Jagger Court, Melville, NY 11747",
  "source_record_url": "https://data.ny.gov/resource/n9v6-gdp6.json?dos_id=7969358",
  "registry_url": "https://data.ny.gov/d/n9v6-gdp6",
  "scraped_at": "2026-07-19T12:00:00+00:00"
}

Pricing

You pay only for results that land. Cap any run with maxTotalChargeUsd. See pricing & billing for worked examples.