OpenCorporates Alternative — US Business Registry Scraper

What this Actor scrapes

This Actor batch-verifies company names against official state Secretary-of-State open-data registries — New York, Colorado, Connecticut, and Oregon in v1 — and returns one structured row per matched entity per state. Each row carries the state's on-file entity name, status, entity type, formation date, principal address, registered agent, and (Connecticut only) officer/principal names.

We built this as a self-serve alternative to subscription KYB/registry tools: feed it a list of company names, get back structured, Pydantic-validated rows you can pipe straight into a CRM, a compliance workflow, or a spreadsheet. It queries the states' own free, keyless Socrata open-data APIs directly — not opencorporates.com, and not a scrape of any paywalled search UI.

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; your batch keeps running.
• 🧊 Clean, typed dataset rows — Pydantic-validated, ISO-8601 timestamps, a shared cross-state schema despite each state publishing wildly different raw field names.
• 🔒 Privacy-conscious by design — Connecticut's principals dataset also publishes home addresses; we never surface them, only business addresses.
• 💰 Pay-Per-Event pricing — you only pay for matched entity rows that land in your dataset. No data, no charge (beyond the small warm-up fee).

Use cases

• KYB / onboarding checks — batch-verify a list of business names before onboarding a new customer or vendor.
• Sales & lead-gen prospecting — confirm a prospect list is made of real, active, on-file entities before outreach.
• Due-diligence research — pull incorporation date, entity type, and registered-agent data for a target list of companies.
• Journalism & investigations — cross-check company names against official state filings, batch-style.
• List hygiene — drop companies whose status_normalized comes back inactive before you spend outreach budget on them.

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.

{
  "searchQueries": [
    "Acme Robotics LLC"
  ],
  "jurisdictions": [
    "NY",
    "CO",
    "CT",
    "OR"
  ],
  "fetchOfficers": true,
  "maxResultsPerQuery": 5,
  "statusFilter": "any",
  "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.

queryentity_identity_namejurisdictionentity_typestatusstatus_normalizedformation_datedissolution_dateprincipal_addressregistered_agent_nameregistered_agent_addressofficerssource_record_urlregistry_urlscraped_at

{
  "query": "Acme Robotics LLC",
  "entity_id": "20251664337",
  "entity_name": "ACME ROBOTICS LLC",
  "jurisdiction": "CO",
  "entity_type": "DLLC",
  "status": "Good Standing",
  "status_normalized": "active",
  "formation_date": "2025-06-15",
  "dissolution_date": null,
  "principal_address": "9159 Anasazi Indian Trl, Highlands Ranch, CO 80129",
  "registered_agent_name": "ACME ROBOTICS LLC",
  "registered_agent_address": "9159 Anasazi Indian Trl, Highlands Ranch, CO 80129",
  "officers": [],
  "source_record_url": "https://data.colorado.gov/resource/4ykn-tg5h.json?entityid=20251664337",
  "registry_url": "https://data.colorado.gov/d/4ykn-tg5h",
  "scraped_at": "2026-07-18T12:00:00+00:00"
}

Pricing

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