Business Entity Search: Secretary of State Registry Lookup for 6 States

Business entity search across the Secretary of State registries of Colorado, New York, Oregon, Connecticut, Pennsylvania and Texas: look up companies by name and get each matching official registry record, with a match score for bulk name checks.

Free sample: download a CSV of real rows from recent runs of this Actor (up to 50 rows, refreshed weekly, no account needed).

This Actor vs shelvick/business-entity-lien-search: that one covers 48 states plus DC and adds UCC liens. Choose this one for bulk name verification, where every input name comes back with a match score.

Price per 1,000 entitys	Free plan	Starter	Scale	Business
This Actor	$2.00	$2.00	$2.00	$2.00
Most-used alternative	$5.00	$4.75	$4.50	$4.25

Look up companies in official state business registries and get back the registry record: legal name, registry ID, entity type, status, formation date, registered agent, addresses, officers where published, and a link to the source record. Paste one name or ten thousand. Every name gets an answer: matched entities come back with a match score, and names with no match come back as a free found: false row so your list stays complete.

The data comes only from official state open-data portals (Socrata APIs run by Colorado, New York, Oregon, Connecticut, Pennsylvania and Texas). No scraping of search pages, no captchas, no login and no LLM guessing.

• In short: Business Entity Search (Apify actor transparent_meteorite/business-entity-search) looks up companies by name, keyword or registry ID in official Secretary of State registry open data for CO, NY, OR, CT, PA and TX, and returns the matching registry records with a 0-1 match score.
• Who it is for: KYB and onboarding teams verifying that a business exists and is active, compliance and vendor-management teams, sales ops cleaning CRM accounts, lenders, insurers, researchers and journalists.
• Input: a list of company names (bulk), a keyword, or registry IDs; states; match mode (exact, startsWith, contains); include inactive; entity type; formed after/before; city; ZIP; result caps.
• Output: state, registry ID, legal name, entity type, status, active flag, formation date, jurisdiction of formation, registered agent name and address, principal and mailing address, city, ZIP, county, officers (where published), source record link, match score and match type.
• Price: $0.002 per matched entity record plus $0.00005 per run start. Not-found rows are free. Pay per result, no subscription; Apify's free plan credit covers a first test.
• Limits: six states today; NY, OR and PA publish active entities only; TX data comes from the Comptroller's franchise-tax file; only public fields each state publishes (no personal phone or email).

Key facts

• Actor name: Business Entity Search
• Actor ID: transparent_meteorite/business-entity-search
• Store page: https://apify.com/transparent_meteorite/business-entity-search
• Data source: official state open-data portals (Socrata) of Colorado, New York, Oregon, Connecticut, Pennsylvania and Texas
• Pricing model: pay per event (apify-actor-start $0.00005, entity-record $0.002; not-found rows free)
• Output formats: JSON, CSV, Excel, XML, HTML table, RSS (Apify dataset)
• Access: Apify Console, REST API, JavaScript/Python clients, schedules, webhooks, Apify MCP server
• Login or third-party API key needed: no, only an Apify account
• Also known as: secretary of state business search API, company registry lookup, KYB business verification, bulk company name check, entity status lookup, registered agent lookup
• Maintainer: transparent_meteorite (independent developer)
• Last updated: 2026-10-13

Why choose this over alternatives

• Official sources only. Every row comes from a state government open-data API and carries sourceRecordUrl (the exact API record) and sourceDataset (the dataset page), so an auditor can check any answer in one click.
• Built for bulk verification. Paste a list of customer or vendor names. Each name is normalised (legal suffixes, punctuation, "The", "&" handled), searched in every selected state, scored, and ranked. You get the best matches per name, not a page of raw search hits.
• Every name gets an answer. A name with no match produces one found: false row that says which states were searched and why it might be missing. That row is never charged.
• Honest match scores. matchType tells you exactly how the name matched (exact, exactCore, startsWith, contains, partial) and matchScore (0 to 1) never mixes tiers, so a simple threshold such as matchScore >= 0.95 gives you "same legal name, suffix aside".
• No captchas, no browser. State search websites block automated lookups. This actor reads the states' published APIs politely (one request at a time per state, at least 350 ms apart, with retry on rate limits), so runs are fast and stable.
• Pay per record found. $0.002 per matched entity, nothing for misses, no monthly fee.
• Pairs with fresh filings. Use the sibling actor New Business Filings (transparent_meteorite/new-business-filings) to get newly formed companies, and this actor to look up or re-verify any company later.

What it does and who it is for

Business Entity Search answers one question at scale: "Is this company registered, where, and in what state of health?"

It is useful for:

• KYB and customer onboarding: confirm that an applicant's business exists, its legal name and type, and that it is active or in good standing.
• Vendor and supplier checks: verify vendor names before paying invoices; spot dissolved or forfeited entities in Colorado, Connecticut and Texas.
• CRM and data hygiene: map free-text account names to a legal entity and registry ID, then dedupe on the ID.
• Sales research: find every registered entity whose name contains a keyword in a state, with formation dates, cities and agents.
• Registered agent and service of process lookup: get the agent name and address on file in CO, NY, OR and CT, and the New York service-of-process address.
• Journalism and research: trace related entities (for example every "Sheetz" entity in Pennsylvania) with officers where the state publishes them.

You do not need to know which state a company is registered in. Search all six at once; foreign registrations (a Delaware company registered to do business in New York, for example) show up with their jurisdiction of formation.

Quick start

1. Open the actor and paste company names into Company names, one per line (the form is prefilled with two examples).
2. Leave States empty to search all six, or pick the ones you need.
3. Keep Match mode on Starts with for verification work, or switch to Exact for the strictest check.
4. Click Start. A two-name run across six states usually finishes in under 30 seconds.
5. Open the Overview table, or export JSON, CSV or Excel from the Storage tab.

What you get: output fields

One row per matched entity, sorted by match score within each searched name.

Field	Meaning
query	The name, keyword or ID you searched for.
queryType	name, keyword or entityId.
found	true for a matched entity, false for the free not-found row.
matchScore	0 to 1. 1.0 exact, 0.95 same name apart from the legal suffix, 0.60-0.90 starts with your name, 0.30-0.59 contains all your words, below 0.30 partial.
matchType	exact, exactCore, startsWith, contains, partial, entityId (ID lookup) or none.
state, stateName	Registry state code and name.
entityId	The state's registry ID (CO entity ID, NY DOS ID, OR registry number, CT account number, PA filing number, TX SOS file number or taxpayer number when there is none).
entityName	Legal name as the state records it.
entityType	Normalised type: LLC, CORPORATION, NONPROFIT, PARTNERSHIP, OTHER.
entityTypeRaw	The state's own type label, for example "Foreign Profit Corporation (CF)".
status	The state's status text, for example "Good Standing", "Delinquent", "Active", "Forfeited".
isActive	true when the entity still exists on the register (see caveats for what each state means by this).
formationDate	Formation or registration date (YYYY-MM-DD).
jurisdictionOfFormation	Where the entity was formed, when the state publishes it.
registeredAgentName, registeredAgentAddress	Registered agent on file (CO, NY, OR, CT).
principalAddress	Principal office address (CO, OR, CT; PA registered office).
mailingAddress	Mailing address (CO, OR, CT; TX taxpayer mailing address).
serviceOfProcessAddress	New York Department of State service-of-process address.
city, zip, county	City and ZIP of the main listed address; county where published (NY, PA).
officers	Array of { name, title } where the state publishes officers (CT principals, PA officers, NY chief executive); [] when the state publishes none for that entity; null when the state has no officer data.
naics	NAICS code where published (CT, TX).
taxpayerNumber	Texas taxpayer number.
sourceRecordUrl	Direct API link to this record on the state portal.
sourceDataset	The state dataset page.
retrievedAt	When the row was read (ISO timestamp).

Not-found rows also carry statesSearched, statesFailed and a note.

Sample output

Real rows from a run on 2026-10-13 (officer lists shortened to three for space):

[
  {
    "query": "Pfizer Inc.", "queryType": "name", "found": true, "matchScore": 1, "matchType": "exact",
    "state": "NY", "stateName": "New York", "entityId": "69033", "entityName": "PFIZER INC.",
    "entityType": "CORPORATION", "entityTypeRaw": "FOREIGN BUSINESS CORPORATION",
    "status": "Active", "isActive": true, "formationDate": "1951-06-25", "jurisdictionOfFormation": "Delaware",
    "registeredAgentName": "C T CORPORATION SYSTEM",
    "registeredAgentAddress": "28 LIBERTY ST., NEW YORK, NEW YORK 10005",
    "serviceOfProcessAddress": "28 LIBERTY ST., NEW YORK, NY 10005",
    "city": "NEW YORK", "zip": "10005", "county": "New York",
    "officers": [{ "name": "ALBERT BOURLA", "title": "Chief executive officer" }],
    "sourceRecordUrl": "https://data.ny.gov/resource/n9v6-gdp6.json?dos_id=69033",
    "sourceDataset": "https://data.ny.gov/d/n9v6-gdp6",
    "retrievedAt": "2026-10-13T22:28:45.257Z"
  },
  {
    "query": "Starbucks Corporation", "queryType": "name", "found": true, "matchScore": 1, "matchType": "exact",
    "state": "TX", "stateName": "Texas", "entityId": "0009914606", "entityName": "STARBUCKS CORPORATION",
    "entityType": "CORPORATION", "entityTypeRaw": "Foreign Profit Corporation (CF)",
    "status": "Active (right to transact business)", "isActive": true, "formationDate": "1994-03-03",
    "mailingAddress": "PO BOX 34442 C/O TAX-2, SEATTLE, WA 98124", "city": "SEATTLE", "zip": "98124",
    "officers": null, "naics": "722515", "taxpayerNumber": "19113256713",
    "sourceRecordUrl": "https://data.texas.gov/resource/9cir-efmm.json?secretary_of_state_sos_or_coa_file_number=0009914606",
    "sourceDataset": "https://data.texas.gov/d/9cir-efmm",
    "retrievedAt": "2026-10-13T22:28:48.474Z"
  },
  {
    "query": "Sheetz, Inc.", "queryType": "name", "found": true, "matchScore": 1, "matchType": "exact",
    "state": "PA", "stateName": "Pennsylvania", "entityId": "0000326968", "entityName": "Sheetz, Inc.",
    "entityType": "CORPORATION", "entityTypeRaw": "Domestic Business Corporation",
    "status": "Active", "isActive": true, "formationDate": "1969-12-11", "jurisdictionOfFormation": "PA",
    "principalAddress": "5700 6th Ave, Altoona, PA 16602", "city": "Altoona", "zip": "16602", "county": "Blair",
    "officers": [
      { "name": "ADAM SHEETZ", "title": "Vice President" },
      { "name": "TRAVIS SHEETZ", "title": "President" },
      { "name": "GARY ZIMMERMAN", "title": "Secretary" }
    ],
    "sourceRecordUrl": "https://data.pa.gov/resource/xvd7-5r2c.json?filing_number=0000326968",
    "sourceDataset": "https://data.pa.gov/d/xvd7-5r2c",
    "retrievedAt": "2026-10-13T22:28:49.680Z"
  },
  {
    "query": "Zzqx Quorble Widgets LLC", "queryType": "name", "found": false, "matchScore": 0, "matchType": "none",
    "state": null, "entityId": null, "entityName": null,
    "statesSearched": ["CO", "NY", "OR", "CT", "PA", "TX"], "statesFailed": [],
    "note": "No startsWith match in CO, NY, OR, CT, PA, TX. Inactive entities were excluded (set includeInactive to include CO, CT and TX history). NY, OR and PA publish active entities only, so an inactive or dissolved entity there returns no match. Not charged.",
    "retrievedAt": "2026-10-13T22:28:54.990Z"
  }
]

Null fields are left out of the shortened rows above; real rows always contain every field.

Input options

Option	Default	What it does
Company names (names)	none	One name per line, up to 10,000 per run.
Keyword search (query)	none	Entities whose name contains all these words. Returns up to Max results rows.
Entity IDs (entityIds)	none	Fetch records by registry ID, for example CO:19931121425, NY:69033. Without a state prefix every selected state is searched. ID lookups return the record whatever its status.
States (states)	all six	Any of CO, NY, OR, CT, PA, TX.
Match mode (matchMode)	startsWith	exact: same name once the legal suffix is ignored. startsWith: exact plus names that begin with your name as whole words. contains: every word of your name appears anywhere.
Max results per name (maxResultsPerName)	5	Best matches kept per name across all states (1-100).
Max results (maxResults)	100	Cap on matched rows delivered and charged per run.
Include inactive entities (includeInactive)	false	Also return dissolved, withdrawn, revoked or forfeited entities (CO, CT, TX).
Entity types (entityTypes)	all	LLC, CORPORATION, NONPROFIT, PARTNERSHIP, OTHER.
Formed on or after / before (formedAfter, formedBefore)	none	Formation date range, YYYY-MM-DD.
City (city)	none	Exact city match, case-insensitive.
ZIP code (zip)	none	ZIP prefix, 5 digits.
Include officers (includeOfficers)	true	Officers and principals where published.

You can combine names, a keyword and IDs in one run. Names are processed in the order given, and output keeps that order.

Input examples

Bulk verification, strict:

{
  "names": ["Microsoft Corporation", "Pfizer Inc.", "McDonald's Corporation", "Acme Widgets LLC"],
  "matchMode": "exact",
  "maxResultsPerName": 6
}

Find every active Colorado and Connecticut entity with "brewing" in the name formed since 2020:

{
  "query": "brewing",
  "states": ["CO", "CT"],
  "formedAfter": "2020-01-01",
  "maxResults": 500
}

Re-check known registry IDs, including dissolved ones:

{
  "entityIds": ["CO:19931121425", "NY:69033", "TX:0009914606"]
}

Related entities in Pennsylvania and Texas, broad match:

{
  "names": ["Sheetz"],
  "states": ["PA", "TX"],
  "matchMode": "contains",
  "maxResultsPerName": 25
}

Use cases and n8n automation ideas

Run this actor from an n8n workflow with the Apify node or an HTTP Request node, then read the dataset items in the next step. Ideas:

• KYB checks. Verify a company name against Secretary of State registry data and read status, formation date and registered agent.
• Bulk name matching. Send a list of company names and use the match score to decide which need a manual look.
• Onboarding automation. Call it from an n8n workflow when a new customer signs up and route inactive or not-found entities for review.

Pricing

Pay per event. There is no subscription and no rental fee for this actor.

Event	Price (all Apify plans)
Entity record (one per matched entity row delivered)	$0.002
Actor start (one per GB of run memory, minimum one)	$0.00005
Not-found row	free

The actor runs at up to 1 GB of memory, so the start costs at most $0.00005 per run.

Worked examples:

Matched records delivered	Cost
100 (the form default cap)	100 x $0.002 + $0.00005 = $0.20005
1,000	$2.00005
10,000	$20.00005

A list of 1,000 customer names where 800 match once each and 200 do not match costs 800 x $0.002 = $1.60 plus the start fee; the 200 not-found rows are free. With maxResultsPerName at 5, a name that matches in five states delivers five rows and costs $0.01, so set it to 1 if you only need the single best match per name.

Apify's free plan includes $5 of monthly platform credit, which covers about 2,500 matched records with this actor.

To cap spend, set Maximum cost per run in the run options. The actor checks the remaining budget before every record and stops cleanly when it is reached; the summary record lists how many names were not processed.

How to run it

In Apify Console

Open the actor, fill in the form and click Start. Results appear in the Output tab as a table; export from the Storage tab as JSON, CSV, Excel, XML or HTML.

From the API or a client library

Run synchronously and get the rows back in one call:

curl -X POST "https://api.apify.com/v2/acts/transparent_meteorite~business-entity-search/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"names": ["Pfizer Inc.", "Nike, Inc."], "matchMode": "exact"}'

Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("transparent_meteorite/business-entity-search").call(
    run_input={"names": ["Pfizer Inc.", "Nike, Inc."], "matchMode": "exact"}
)
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row["query"], row["found"], row.get("state"), row.get("entityName"), row.get("status"))

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('transparent_meteorite/business-entity-search').call({
  names: ['Pfizer Inc.', 'Nike, Inc.'],
  matchMode: 'exact',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.filter((r) => r.found && r.matchScore >= 0.95));

On a schedule

Create a saved task with your vendor or customer list and attach a schedule (weekly or monthly) in Apify Console. Each run re-reads the registries, so a vendor whose status or isActive changes shows up in the next export. Add a webhook to send the dataset to your system when the run finishes.

With n8n, Make, Zapier or AI agents

Use the official Apify app or node in n8n, Make or Zapier: choose "Run actor", pick transparent_meteorite/business-entity-search, pass the input JSON, then read the dataset items. AI agents can call it through the Apify MCP server (see the last section).

Run summary record

Each run stores a summary in the key-value store under OUTPUT (never charged):

{
  "termsTotal": 13, "termsProcessed": 13, "termsNotProcessed": 0,
  "found": 12, "notFound": 1, "delivered": 56, "chargeCalls": 56,
  "chargeLimitReached": false, "maxResultsReached": false,
  "perState": { "CO": { "searches": 13, "candidates": 224, "errors": 0 } },
  "requests": 96, "throttled": 0, "warnings": [], "durationSec": 13.3
}

warnings lists any state portal that failed for a term; that term's not-found row then says the result is not a confirmed no-match.

Limits and honest caveats

Coverage by state (row counts read from the portals in October 2026):

State	Source dataset	Size	Statuses included	Registered agent	Officers	Address returned
CO	Business entities dataset (data.colorado.gov 4ykn-tg5h)	about 3.1 million entities	all, including dissolved (inactive only with includeInactive)	yes	no	principal and mailing
NY	Active Corporations: Beginning 1800 (data.ny.gov n9v6-gdp6)	about 4.3 million	active only	yes, where designated	chief executive (corporations)	service-of-process address
OR	Active Businesses - ALL (data.oregon.gov tckn-sxa6)	all active registrations	active only	yes	no	principal place of business and mailing
CT	Business Master (data.ct.gov n7gp-d28j) plus agents and principals datasets	about 1.3 million	all, including dissolved and forfeited	yes	yes (principals)	business and mailing
PA	Registered Businesses in PA, Department of State (data.pa.gov xvd7-5r2c)	about 4.2 million rows	active registrations only	no	yes (officer parties)	registered office
TX	Active Franchise Taxpayers, Comptroller (data.texas.gov 9cir-efmm)	about 3.5 million	right-to-transact status; forfeited only with includeInactive	no	no	taxpayer mailing address

What that means in practice:

• NY, OR and PA list active entities only. A dissolved company in those states simply returns no match there. The not-found note says so.
• Texas is the Comptroller's franchise-tax file, not the Secretary of State's full register. Entities not subject to franchise tax (many nonprofits, some partnerships) may be missing, and status is the right-to-transact-business status.
• "Active" follows the state's meaning. In Colorado, "Delinquent" (a missed periodic report) and "Noncompliant" still exist on the register, so isActive is true; read status when you need "Good Standing" specifically.
• Addresses differ by state. New York's address is the service-of-process address, often a registered agent's office; Pennsylvania's is the registered office, often a commercial registered office provider in Harrisburg. A city filter matches the address each state lists.
• Names are matched as written in the registry. Abbreviations the registry did not use ("Intl" versus "International") will not match as exact; try contains mode or a shorter name.
• Freshness depends on each state. Portals are refreshed on the state's own schedule; check the dataset page in sourceDataset for its last update.
• Not a legal certificate. For a certificate of good standing, order one from the state.
• Six states today. Other states either publish no open entity API or publish data too stale to use. More are added as states publish them.

Run in 30 seconds

1. Open the Actor in Apify Console and click Try for free (or Start if you already have an account).
2. Open the Input tab, switch to JSON, and paste the example below. It is small on purpose, so the first run is quick and cheap.
3. Click Start. Most small runs finish in well under two minutes.
4. Open the Output tab to read the Overview table, or use Export to download JSON, CSV or Excel.

{
  "names": [
    "Microsoft Corporation",
    "Acme Widgets LLC"
  ],
  "states": [
    "CO",
    "NY"
  ],
  "matchMode": "startsWith",
  "maxResultsPerName": 3
}

Once the sample looks right, replace the example values with your own list and raise the limits.

Example API call

Start a lookup from code or with curl. Replace the placeholder token and username.

from apify_client import ApifyClient

client = ApifyClient("APIFY_TOKEN")
run = client.actor("YOUR_USERNAME/business-entity-search").call(run_input={"names": ["Microsoft Corporation"], "states": ["CO", "NY"], "matchMode": "startsWith", "maxResultsPerName": 3})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row)

curl -X POST "https://api.apify.com/v2/acts/YOUR_USERNAME~business-entity-search/runs?token=APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"names": ["Microsoft Corporation"], "states": ["CO", "NY"], "matchMode": "startsWith", "maxResultsPerName": 3}'

FAQ

Do I need an API key or a login for any state site? No. The actor reads public open-data APIs. You only need an Apify account.

How is a match scored? Both names are upper-cased, "&" becomes AND, apostrophes and punctuation are removed, a leading "The" and trailing legal designators (Inc., LLC, Corp., Co., L.L.C., Limited Liability Company and so on) are set aside. Same full name scores 1.0; same name apart from the designator scores 0.95; a registry name that starts with your name as whole words scores 0.60-0.90 (closer in length scores higher); all your words somewhere in the name scores 0.30-0.59.

Why did I get several rows for one name? The same company is often registered in several states (home state plus foreign registrations), and similar names exist. Set maxResultsPerName to 1 for only the single best match, or matchMode to exact.

Are not-found rows really free? Yes. Only the entity-record event is charged, once per matched entity row.

Can I search by registry ID? Yes, with Entity IDs. Prefix the state (CT:0191632) to search one registry; ID lookups ignore the active-only filter.

Does it return personal phone numbers or emails? No. Connecticut's datasets contain business emails, phone numbers and residence addresses; the actor never outputs them.

How fast is it? Each state is queried one request at a time; states run side by side. Expect roughly 1 to 3 seconds per name across all six states, faster with fewer states.

Troubleshooting

• A company I know exists is not found. Check the state is selected, try contains mode, drop words the registry may abbreviate, and remember NY, OR and PA hold active entities only. Set includeInactive for CO, CT and TX history.
• Too many weak matches. Use matchMode: "exact" or filter on matchScore >= 0.95.
• The run stopped early. Check OUTPUT: chargeLimitReached means the run's maximum cost was reached; maxResultsReached means Max results was reached. Raise the limit and rerun the names listed as not processed.
• A state shows errors in warnings. The state portal was down or slow after four retries. The affected names say "not a confirmed no-match"; run them again later.
• Input error at start. The status message lists the problem, for example an unsupported state code or a date that is not YYYY-MM-DD.

Terms and responsible use

The data is public record published by state governments under their open-data terms. Use it lawfully. Registry data alone is not a consumer report: do not use it to make decisions about individuals' eligibility for credit, employment, insurance or housing under the FCRA or similar laws. Officer and agent names are published by the states for business purposes; do not use them for spam or harassment. Verify critical decisions against the state's official record or a certificate of good standing.

More resources

• Sibling actor for new registrations: New Business Filings (transparent_meteorite/new-business-filings)
• State portals: data.colorado.gov, data.ny.gov, data.oregon.gov, data.ct.gov, data.pa.gov, data.texas.gov
• Apify API docs: https://docs.apify.com/api/v2

Changelog

• 0.1 (2026-10-13): First release. Six states (CO, NY, OR, CT, PA, TX), bulk names, keyword and ID lookup, exact/startsWith/contains matching with scores, free not-found rows, Connecticut agent and principal join, officers for CT, PA and NY.

Support

Missing a company the state site shows, a field that parsed wrongly, or need another state? Open an issue on this actor's Issues tab with the run URL and what you expected. The run URL lets us see the exact input and the OUTPUT record.

Use it from AI assistants (MCP)

Business Entity Search works as a tool for AI assistants through the official Apify MCP server. Add this server URL to any MCP client (Claude Desktop, Claude Code, Cursor, ChatGPT connectors, VS Code):

https://mcp.apify.com/?actors=transparent_meteorite/business-entity-search

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?actors=transparent_meteorite/business-entity-search",
      "headers": { "Authorization": "Bearer <YOUR_APIFY_TOKEN>" }
    }
  }
}

Related actors

Other public-data actors from the same publisher that pair well with this one:

• New Business Filings: New LLCs & Corporations by State
• Contractor License Lookup: Multi-State Official Data
• OFAC Sanctions Screening: SDN, EU, UN & UK, Fuzzy Match

More from DWA Open Data

Browse all 69 data Actors, with live prices and sample output, at open-data-actors.pages.dev.

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