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New York Active Corporations

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from $13.40 / 1,000 registry records

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New York Active Corporations

New York Active Corporations

One record per active NY corporation (DOS ID, name, entity type, formation jurisdiction, initial filing date, county, DOS process address) from the keyless NY Socrata resource β€” the full-resource Socrata count is reconciled against delivery.

Pricing

from $13.40 / 1,000 registry records

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NexGen Watch

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πŸ”Ž New York Active Corporations

One record per active NY corporation (DOS ID, name, entity type, formation jurisdiction, initial filing date, county, DOS process address) from the keyless NY Socrata resource β€” the full-resource Socrata count is reconciled against delivery. Not a filing-event feed: one row per live entity, not per transaction.

Public, robots-honoured.

Output is one ny_active_corporation row per result; billing is pay-per-event, the value event being one registry record (a $0.02 start fee per run, then $0.02 per registry record). Source: data.ny.gov.

No login, no API key and no CAPTCHA solving are involved: the source is read logged-out with an identified contact User-Agent.

πŸ“Š Sample Output

New York Active Corporations sample output β€” a table of real registry record rows (name, entity_type, formation_jurisdiction, initial_filing_date) from run YJA075eEFHwC1SpRf on build 0.1.4

Real rows from run YJA075eEFHwC1SpRf on build 0.1.4 (2026-09-18), the same input as the Quick start below β€” every value is as the source published it (emails masked, long text shortened):

nameentity_typeformation_jurisdictioninitial_filing_dateprocess_nameprocess_address_1
BUTCHY'S WINE & SPIRITS, INC.DOMESTIC BUSINESS CORPORATIONNew York2013-06-27T00:00:00.000BUTCHY'S WINE & SPIRITS, INC.23 BUSHNEIL PLACE
GRACE SEAFOOD CORP.DOMESTIC BUSINESS CORPORATIONNew York2011-03-24T00:00:00.000GRACE SEAFOOD CORP.1226 EAST 183RD STREET
KV CATALYST IM, LLCFOREIGN LIMITED LIABILITY COMPANYDelaware2021-07-15T00:00:00.000KV CATALYST IM, LLC2 fifth avenue apt 12p
MADISON TAX GROUP INC.DOMESTIC BUSINESS CORPORATIONNew York2013-02-13T00:00:00.000MADISON TAX GROUP INC.244 MADISON AVE., STE. 252
REVERSALS INC.DOMESTIC BUSINESS CORPORATIONNew York2012-07-02T00:00:00.000JORGE RODRIGUEZ61-66 70 STREET
WILD APACHE PRODUCTIONS INC.DOMESTIC BUSINESS CORPORATIONNew York1990-09-18T00:00:00.000WILD APACHE PRODUCTIONS INC.1388 FOREST AVENUE
YAWGER BROOK BAKES, INC.DOMESTIC BUSINESS CORPORATIONNew York1989-02-28T00:00:00.000YAWGER BROOK BAKES, INC.PO BOX 251
33-23 STEUBEN AVENUE CORP.DOMESTIC BUSINESS CORPORATIONNew York2004-07-26T00:00:00.00033-23 STEUBEN AVENUE CORP.33-23 STEUBEN AVENUE

The run finished with the status message: NORMAL: 50 unique rows (0 duplicates collapsed). billable=50

βœ… What you get

Each row is flat JSON with these fields (from the dataset schema and the sample run; a field the source does not publish for a given row is null):

  • record_type (string) β€” e.g. ny_active_corporation
  • dos_id (string/null) β€” e.g. 4424185
  • name (string/null) β€” e.g. BUTCHY'S WINE & SPIRITS, INC.
  • entity_type (string/null) β€” e.g. DOMESTIC BUSINESS CORPORATION
  • formation_jurisdiction (string/null) β€” e.g. New York
  • initial_filing_date (string/null) β€” e.g. 2013-06-27T00:00:00.000
  • county (string/null) β€” e.g. Westchester
  • process_name (string/null) β€” e.g. BUTCHY'S WINE & SPIRITS, INC.
  • process_address_1 (string/null) β€” e.g. 23 BUSHNEIL PLACE
  • process_address_2 (string/null) β€” e.g. 2 FL
  • process_city (string/null) β€” e.g. MOUNT VERNON
  • process_state (string/null) β€” e.g. NY
  • process_zip (string/null) β€” e.g. 10550
  • source (string/null) β€” e.g. new-york-active-corporations
  • release_date (string/null) β€” null in every sample row
  • source_url (string/null) β€” e.g. https://data.ny.gov/resource/n9v6-gdp6.json
  • observed_at (string/null) β€” e.g. 2026-09-18T19:30:38Z
  • terminal (string/integer/null) β€” null in every sample row
  • reported_total (string/integer/null) β€” null in every sample row
  • raw_seen (string/integer/null) β€” null in every sample row
  • duplicates (string/integer/null) β€” null in every sample row
  • unique_found (string/integer/null) β€” null in every sample row
  • delivered (string/integer/null) β€” null in every sample row
  • scope (string/integer/null) β€” null in every sample row
  • note (string/integer/null) β€” null in every sample row
  • license (string/integer/null) β€” null in every sample row
  • attribution (string/integer/null) β€” null in every sample row

What you get

One registry_record per entity, deduplicated on the source-native id. Fields the source does not publish are honest null. A run_receipt row carries the source URL, scope, reconciliation counts, and delivered/duplicate totals.

βš™οΈ Sample inputs

1. Quick start β€” the Store example (this is what the sample above came from)

{
"maxRecords": 50
}

The sample run charged exactly: 2 Γ— $0.02 apify-actor-start + 50 Γ— $0.02 registry_record = $1.04 on the Free tier β€” every delivered row was billed.

2. A smaller, narrowed run

{
"maxRecords": 5
}

Caps the run at 5 rows β€” about $0.12 on the Free tier ($0.02 start + 5 Γ— $0.02).

3. A full-size run

{
"maxRecords": 5000
}

Up to 5000 rows (the schema default for maxRecords) β€” about $100.02 on the Free tier ($0.02 start + 5000 Γ— $0.02) if the source has that many.

🧾 JSON sample record

One real record from run YJA075eEFHwC1SpRf, exactly as it lands in the dataset (emails masked, long text shortened):

{
"record_type": "ny_active_corporation",
"dos_id": "4424185",
"name": "BUTCHY'S WINE & SPIRITS, INC.",
"entity_type": "DOMESTIC BUSINESS CORPORATION",
"formation_jurisdiction": "New York",
"initial_filing_date": "2013-06-27T00:00:00.000",
"county": "Westchester",
"process_name": "BUTCHY'S WINE & SPIRITS, INC.",
"process_address_1": "23 BUSHNEIL PLACE",
"process_address_2": null,
"process_city": "MOUNT VERNON",
"process_state": "NY",
"process_zip": "10550",
"source": "new-york-active-corporations",
"release_date": null,
"source_url": "https://data.ny.gov/resource/n9v6-gdp6.json",
"observed_at": "2026-09-18T19:30:38Z"
}

πŸ”§ How it works

Transport. Plain HTTPS from the Apify platform, no proxy. robots.txt is read first and a disallowed path is never fetched. Every request carries an identified contact User-Agent. Pacing: CRAWL_DELAY=0.0.

Charging. Each registry record is charged at the moment it is pushed (registry_record); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

How it behaves

Rows are paged from the NY Socrata resource with a stable :id order and $limit/$offset; optional county / entityType narrow the SoQL $where. The resource count(*) is reconciled against delivery. Streaming and bounded to maxRecords β€” never a full-file self-charged pull. A Socrata error on page 0 fails loud.

Source

https://data.ny.gov/resource/n9v6-gdp6.json

What is not done. No login, no cookie or CAPTCHA bypass, no private or personal-account data, no browser automation.

πŸ’° Pricing example

EventFreeBronzeSilverGold
Actor Start (apify-actor-start)$0.02$0.02$0.02$0.02
Registry Record (registry_record)$0.02$0.02$0.02$0.01

Worked at the live Free-tier price:

  • 8 registry records: $0.02 start + 8 Γ— $0.02 = $0.18
  • 25 registry records: $0.02 start + 25 Γ— $0.02 = $0.52
  • 5000 registry records: $0.02 start + 5000 Γ— $0.02 = $100.02

A run that delivers zero rows charges the $0.02 start fee only. A BLOCKED run (source refused) fails loud and charges no value event. The start fee is charged once per GB of run memory; the default run memory is 4096 MB.

Yield on the sample run: NORMAL: 50 unique rows (0 duplicates collapsed). billable=50. maxRecords is a hard ceiling on what is delivered and billed, never a target.

This actor reads public, logged-out pages and feeds published by data.ny.gov. It collects only what the source publishes to any visitor, keeps to the source's robots rules (checked on every run), identifies itself with a contact User-Agent, and does not access accounts, private data or anything behind authentication. Use the output in line with the source's terms and your local law; the intended use is B2B research and monitoring.

❓ FAQ

Q: Do I need an API key or a login?
A: No. The source (data.ny.gov) is read logged-out; the input schema has no key field and the actor carries no secrets.

Q: Why did my run return 0 rows?
A: Read the run's status message. GENUINE_EMPTY means the source was read and had nothing in scope for your input; BLOCKED means the source refused and the run failed without billing a value event β€” retry later or narrow the input. A zero-row run bills the start fee only.

Q: How many rows can one run return?
A: Up to maxRecords (default 5000). Raise the cap for a bigger run; you pay per delivered row.

Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs. Put it on a schedule for a continuous feed.

Q: What formats can I export?
A: The dataset downloads as JSON, CSV, Excel, XML or RSS from the run's Dataset tab or the Apify API, and any run can push to a webhook or integration.

Q: How is this different from the other company registry checks actors?
A: Same output shape and billing model; this one covers data.ny.gov. The siblings under Related Actors cover the other sources or slices β€” run several on one schedule for a combined feed.

Q: Are there rate limits?
A: The actor paces itself against the source (CRAWL_DELAY=0.0) and honours its robots rules; there is no per-buyer limit beyond your Apify plan's concurrency.

πŸ†˜ Troubleshooting

  • Run FAILED with BLOCKED β†’ the source refused the request or changed its page shape β†’ nothing was billed beyond the start fee; retry after a while, and if it persists open an Issue with the run id.
  • Status says CAPPED β†’ your cap (maxRecords) was reached β†’ raise it for a bigger run.
  • Input validation error on start β†’ a field is outside the schema's allowed values β†’ start from the Quick start block and change one field at a time.
  • Run TIMED-OUT β†’ a very wide request on a slow day β†’ raise the run timeout in Run options or narrow the input; what was delivered before the timeout is still in the dataset.
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⭐ Found this useful?

If this actor saved you a manual check, a quick review on the Apify Store helps other teams find it. Feature request or a source that changed? Open it from the Issues tab β€” every one is read.