Oregon New Businesses β€” Monthly Formation Feed avatar

Oregon New Businesses β€” Monthly Formation Feed

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from $13.40 / 1,000 registry records

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Oregon New Businesses β€” Monthly Formation Feed

Oregon New Businesses β€” Monthly Formation Feed

One structured registryrecord per record from the official public source, logged-out. Public, robots-honoured.

Pricing

from $13.40 / 1,000 registry records

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NexGen Watch

NexGen Watch

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πŸ”Ž Oregon New Businesses β€” Monthly Formation Feed

One record per associated-name row on each Oregon business registered in the latest published month (registry number, business name, entity type, registry date, associated-name type + person name + address) from the Oregon Secretary of State's official monthly new-business file. This is a monthly FORMATION-EVENT feed β€” the rolling set of businesses registered last month β€” a distinct job from the full active-business roster. Associated-name rows carried VERBATIM as published; nulls preserved.

Public, robots-honoured.

Output is one oregon_new_business_association 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.oregon.gov.

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

Who buys this

Buyers usually search for Oregon new businesses or new business registrations.

  • Sales and lead-generation teams building lists from Oregon new businesses.
  • KYB, onboarding and compliance teams checking new business registrations.
  • Market researchers and data teams that need the official record as rows.

πŸ“Š Sample Output

Oregon New Businesses β€” Monthly Formation Feed sample output β€” a table of real registry record rows (registry_number, business_name, entity_type, registry_date) from run tu80YRWcGFEbu6J1b on build 0.1.16

Real rows from run tu80YRWcGFEbu6J1b on build 0.1.16 (2026-09-28), the same input as the Quick start below β€” every value is as the source published it (emails masked, long text shortened):

registry_numberbusiness_nameentity_typeregistry_dateassociated_name_typeaddress
261087598#1 SIMPLE SOLUTIONSASSUMED BUSINESS NAME2026-08-03AUTHORIZED REPRESENTATIVE2220 SE BLUEBIRD ST
261087598#1 SIMPLE SOLUTIONSASSUMED BUSINESS NAME2026-08-03PRINCIPAL PLACE OF BUSINESS2220 SE BLUEBIRD ST
261087598#1 SIMPLE SOLUTIONSASSUMED BUSINESS NAME2026-08-03REGISTRANT2220 SE BLUEBIRD ST
261087192#1 SIMPLE SOLUTIONS LLCDOMESTIC LIMITED LIABILITY COMPANY2026-08-03INDIVIDUAL WITH DIRECT KNOWLEDGE2220 SE BLUEBIRD ST
261087192#1 SIMPLE SOLUTIONS LLCDOMESTIC LIMITED LIABILITY COMPANY2026-08-03MAILING ADDRESS2220 SE BLUEBIRD ST
261087192#1 SIMPLE SOLUTIONS LLCDOMESTIC LIMITED LIABILITY COMPANY2026-08-03MEMBER2220 SE BLUEBIRD ST
261087192#1 SIMPLE SOLUTIONS LLCDOMESTIC LIMITED LIABILITY COMPANY2026-08-03PRINCIPAL PLACE OF BUSINESS2220 SE BLUEBIRD ST
261087192#1 SIMPLE SOLUTIONS LLCDOMESTIC LIMITED LIABILITY COMPANY2026-08-03REGISTERED AGENT2220 SE BLUEBIRD ST

The run finished with the status message: NORMAL: 10 unique rows (0 duplicates collapsed). billable=10

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. oregon_new_business_association
  • registry_number (string/null) β€” e.g. 261087598
  • business_name (string/null) β€” e.g. #1 SIMPLE SOLUTIONS
  • entity_type (string/null) β€” e.g. ASSUMED BUSINESS NAME
  • registry_date (string/null) β€” e.g. 2026-08-03
  • associated_name_type (string/null) β€” e.g. AUTHORIZED REPRESENTATIVE
  • first_name (string/null) β€” e.g. BRIAN
  • middle_name (string/null) β€” e.g. M
  • last_name (string/null) β€” e.g. OTIS
  • address (string/null) β€” e.g. 2220 SE BLUEBIRD ST
  • city (string/null) β€” e.g. MILWAUKIE
  • state (string/null) β€” e.g. OR
  • zip_code (string/null) β€” e.g. 97222
  • source (string/null) β€” e.g. oregon-new-businesses-monthly
  • release_date (string/null) β€” null in every sample row
  • source_url (string/null) β€” e.g. https://data.oregon.gov/resource/esjy-u4fc.json
  • observed_at (string/null) β€” e.g. 2026-09-28T04:26:15Z
  • 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

βœ… What you get

  • record_type (string) β€” e.g. oregon_new_business_association
  • registry_number (string/null) β€” e.g. 261087598
  • business_name (string/null) β€” e.g. #1 SIMPLE SOLUTIONS
  • entity_type (string/null) β€” e.g. ASSUMED BUSINESS NAME
  • registry_date (string/null) β€” e.g. 2026-08-03
  • associated_name_type (string/null) β€” e.g. AUTHORIZED REPRESENTATIVE
  • first_name (string/null) β€” e.g. BRIAN
  • middle_name (string/null) β€” e.g. M
  • last_name (string/null) β€” e.g. OTIS
  • address (string/null) β€” e.g. 2220 SE BLUEBIRD ST
  • city (string/null) β€” e.g. MILWAUKIE
  • state (string/null) β€” e.g. OR
  • zip_code (string/null) β€” e.g. 97222
  • source (string/null) β€” e.g. oregon-new-businesses-monthly
  • release_date (string/null) β€” null in every sample row
  • source_url (string/null) β€” e.g. https://data.oregon.gov/resource/esjy-u4fc.json
  • observed_at (string/null) β€” e.g. 2026-09-23T16:16:37Z
  • 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

βœ… What you get

  • record_type (string) β€” e.g. oregon_new_business_association
  • registry_number (string/null) β€” e.g. 261087598
  • business_name (string/null) β€” e.g. #1 SIMPLE SOLUTIONS
  • entity_type (string/null) β€” e.g. ASSUMED BUSINESS NAME
  • registry_date (string/null) β€” e.g. 2026-08-03
  • associated_name_type (string/null) β€” e.g. AUTHORIZED REPRESENTATIVE
  • first_name (string/null) β€” e.g. BRIAN
  • middle_name (string/null) β€” e.g. M
  • last_name (string/null) β€” e.g. OTIS
  • address (string/null) β€” e.g. 2220 SE BLUEBIRD ST
  • city (string/null) β€” e.g. MILWAUKIE
  • state (string/null) β€” e.g. OR
  • zip_code (string/null) β€” e.g. 97222
  • source (string/null) β€” e.g. oregon-new-businesses-monthly
  • release_date (string/null) β€” null in every sample row
  • source_url (string/null) β€” e.g. https://data.oregon.gov/resource/esjy-u4fc.json
  • observed_at (string/null) β€” e.g. 2026-09-17T17:41:18Z
  • 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.

Every run also writes a RUN_RECEIPT record to its key-value store with the source checks it made and the counts it charged β€” diagnostics never land in the paid dataset.

βš™οΈ Sample inputs

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

{
"maxRecords": 10
}

The sample run charged exactly: 1 Γ— $0.02 apify-actor-start + 10 Γ— $0.02 registry_record = $0.22 on the Free tier β€” every delivered row was billed. If you leave maxRecords out, the run delivers at most 5000 rows (the schema default); pass a number up to 500000 for a bigger export. An explicit value is always honoured up to that maximum.

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 β€” about $100.02 on the Free tier ($0.02 start + 5000 Γ— $0.02) if the source has that many; maxRecords goes up to 500000.

4. A filtered run

{
"maxRecords": 10,
"fieldMatch": {
"business_name": "field designs"
}
}

Newly registered Oregon businesses whose name contains field designs; the source applies this filter before paging and before the maxRecords cap, so a match deep in the dataset is found, the reconciled count is the matched count, and only delivered matches are billed. A confirmed no-match ends EMPTY_SELECTION with nothing charged.

🧾 JSON sample record

One real record from run tu80YRWcGFEbu6J1b, exactly as it lands in the dataset (emails masked, long text shortened):

{
"record_type": "oregon_new_business_association",
"registry_number": "261087598",
"business_name": "#1 SIMPLE SOLUTIONS",
"entity_type": "ASSUMED BUSINESS NAME",
"registry_date": "2026-08-03",
"associated_name_type": "AUTHORIZED REPRESENTATIVE",
"first_name": "BRIAN",
"middle_name": "M",
"last_name": "OTIS",
"address": "2220 SE BLUEBIRD ST",
"city": "MILWAUKIE",
"state": "OR",
"zip_code": "97222",
"source": "oregon-new-businesses-monthly",
"release_date": null,
"source_url": "https://data.oregon.gov/resource/esjy-u4fc.json",
"observed_at": "2026-09-28T04:26:15Z"
}

πŸ”§ How it works

Source. The actor reads data.oregon.gov β€” endpoints: https://data.oregon.gov/resource/esjy-u4fc.json. Public pages and feeds only; nothing behind a login.

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.

πŸ”§ How it works

πŸ”§ How it works

How it behaves

Rows are paged from the keyless Oregon Socrata resource (:id order, $limit/$offset) and count(*) reconciled. Each business carries one row per associated-name type (individual with direct knowledge, registered agent, mailing address, principal place of business, etc.), copied verbatim. The file rolls monthly to the latest published new-business set. Streaming, bounded to maxRecords; full-scope :id-ordered, memory bounded.

Source

https://data.oregon.gov/resource/esjy-u4fc.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$0.018$0.016$0.0134

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 1024 MB.

Yield on the sample run: NORMAL: 10 unique rows (0 duplicates collapsed). billable=10. 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.oregon.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.oregon.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.oregon.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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  • 🏒 About NexGen Watch β€” NexGen Watch is a catalog of more than 300 public data actors built on official sources, pay-per-result. Browse the catalog at apify.com/nexgenwatch.

⭐ 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.