New Business Filings — US State Registry Leads Feed

🎯 What this 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.

⚙️ How to use it

1. Click Try for free at the top of the page.
2. Set Date from — the earliest formation date to include. Leave Date to blank to default to today (UTC).
3. Optionally narrow Jurisdictions to just the states you care about, and set an Entity types filter or Max results per jurisdiction.
4. Click Start. Rows stream into the run's dataset as each jurisdiction is pulled.
5. Export from Storage → Dataset as JSON, CSV, or Excel — or fetch via the API.
6. Want this to run automatically? Wire it into an Apify Schedule with a rolling dateFrom/dateTo window.

📥 Input

Example input

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

📤 Output

Every row is one newly-formed entity within [dateFrom, dateTo] for one jurisdiction.

Example output

{
  "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

Pay-Per-Event — you pay only when these events fire:

Example: 1 000 rows ≈ $5.00. No subscription, no minimum, no card to start — Apify gives every new account $5 of free credit. Because this Actor caps at maxResultsPerJurisdiction (default 1,000) per jurisdiction, a full 4-state run with defaults costs at most ~$20; narrow the date range or the jurisdiction list to control spend.

🚧 Limitations

This is a v1 with 4 confirmed states (NY, CO, CT, OR) — not the broader multi-state coverage some incumbents advertise. We picked these four because each publishes a free, keyless, machine-readable Socrata dataset sourced from the state's own Secretary of State; adding a state is a per-state adapter, not a schema break, so more are on the roadmap. entityTypes filters against each state's own raw vocabulary — it is intentionally not normalized across states (a domestic LLC is "DOMESTIC LIMITED LIABILITY COMPANY" in NY but "DLLC" in CO). This is a one-shot pull, not a push/webhook alert — run it on a schedule yourself via Apify Schedules for a recurring feed. Each run is stateless; deduplication against prior runs or your own CRM is on you. status is nullable because NY and OR don't publish an explicit status field.

🔗 Use with n8n

Wire this Actor into your n8n automations with the official Apify node:

1. Add the Apify node and pick the Run Actor operation.
2. Set the Actor to devilscrapes/new-business-filings-leads-scraper and pass your dateFrom/dateTo window as JSON.
3. Chain a Get Dataset Items step to read the structured rows into the rest of your workflow (Sheets, Slack, your CRM, an AI agent, …).

Because n8n runs on a schedule or trigger, you get a fresh daily stream of newly-formed companies on autopilot — for example, an automated Slack digest of every new Colorado LLC formed in the last 24 hours, ready for your SDR team.

❓ FAQ

How is this different from opencorporates-alternative-scraper?

That Actor takes company names you already know and verifies them against state registries (KYB/compliance use case). This Actor takes a date range and returns entities you don't know yet — the raw stream of who just formed a company (sales-prospecting use case). Same 4 states, different query shape.

Why only 4 states in v1?

Those are the states we've confirmed publish a genuinely free, keyless Socrata dataset sourced from their own Secretary of State — not a scrape of a login-gated or Cloudflare-protected search UI. Adding a 5th state is a contained code change, not a rewrite; more states are on the roadmap.

Can this notify me automatically when new filings appear?

Not as a built-in feature in v1 — but it's a perfect fit for Apify Schedules: set the Actor to run daily with a rolling 1-2 day dateFrom/dateTo window and pipe the dataset into a webhook, Slack, or your CRM.

Are entityTypes values the same across all 4 states?

No — each state publishes its own vocabulary (e.g.

"DOMESTIC LIMITED LIABILITY COMPANY"

How current is the data?

It's exactly as current as each state's own open-data snapshot. All 4 confirmed jurisdictions returned same-week filings during our most recent live check, but none of these are real-time transactional lookups — treat this as "daily-fresh," not "instant."

💬 Your feedback

Spotted a bug, hit a weird edge case, or need a 5th state added? Open an issue on the Actor's Issues tab on Apify Console — we ship fixes weekly and we read every report.