🔔 Seattle Business License Tax Certificates

One record per active Seattle business-licence tax certificate (legal + trade name, ownership type, NAICS activity, licence start date, address, city account number, UBI) from the keyless Seattle open-data resource. Certificate fields carried verbatim; nulls preserved.

Public, robots-honoured.

Output is one seattle_business_license 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.seattle.gov.

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

Output is one seattle_business_license 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.seattle.gov.

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

📊 Sample Output

Real rows from run WArfxVBOlUpwUvaIM on build 0.1.6 (2026-09-18), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

business_legal_name	trade_name	ownership_type	naics_description	license_start_date	street_address
ABDURAKHMANOV RASUL	RASUL ABDURAKHMANOV	Sole proprietorship	Limousine Service	20140814	706 UNION ST # 409
AHMED MUSTAFE F	MUSTAFE F AHMED	Sole proprietorship	All Other Transit and Ground Passenger Transportation	20141107	14203 42ND AVE S # 221
BUI PHUONG	BUI PHUONG	Sole proprietorship	Bed-and-Breakfast Inns	20190827	2324 1ST AVE #313
CRUZ BRENDAN J	PHENOMENAL PHILLIE	Sole proprietorship	Retail Bakeries	20220801	4130 PALATINE AVE N
DAVID ANTHONY LEWIS PS	DAVID ANTHONY LEWIS PS	Corporation	All Other Miscellaneous Schools and Instruction	20220203	8707 16TH AVE SW
GATES FOUNDATION TRUST	GATES FOUNDATION TRUST	Other	Grantmaking Foundations	20000101	500 5TH AVE N
INDERJIT TAXI	INDERJIT TAXI	Sole proprietorship	Taxi and Ridesharing Services	20250730	2464 S 296TH PL
JUGRAJ BRAR	JUGRAJ BRAR	Sole proprietorship	All Other Transit and Ground Passenger Transportation	20141210	30036 65TH AVE S

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

✅ 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) — e.g. seattle_business_license
• business_legal_name (string/null) — e.g. ABDURAKHMANOV RASUL
• trade_name (string/null) — e.g. RASUL ABDURAKHMANOV
• ownership_type (string/null) — e.g. Sole proprietorship
• naics_code (string/null) — e.g. 485320
• naics_description (string/null) — e.g. Limousine Service
• license_start_date (string/null) — e.g. 20140814
• street_address (string/null) — e.g. 706 UNION ST # 409
• city (string/null) — e.g. SEATTLE
• state (string/null) — e.g. WA
• zip (string/null) — e.g. 98101
• business_phone (string/null) — e.g. 2062579788
• city_account_number (string/null) — e.g. 0007748490686809
• ubi (string/null) — e.g. 6044995720010001
• source (string/null) — e.g. seattle-business-license-tax-certificates
• release_date (string/null) — null in every sample row
• source_url (string/null) — e.g. https://data.seattle.gov/resource/wnbq-64tb.json
• observed_at (string/null) — e.g. 2026-09-18T20:09:10Z
• terminal (string/integer/null) — null in every sample row
• reported_total (string/integer/null) — null in every sample row
• raw_seen (string/integer/null) — null in every sample row
• duplicates (string/integer/null) — null in every sample row
• unique_found (string/integer/null) — null in every sample row
• delivered (string/integer/null) — null in every sample row
• scope (string/integer/null) — null in every sample row
• note (string/integer/null) — null in every sample row
• license (string/integer/null) — null in every sample row
• attribution (string/integer/null) — null in every sample row

✅ 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) — e.g. seattle_business_license
• business_legal_name (string/null) — e.g. ABDURAKHMANOV RASUL
• trade_name (string/null) — e.g. RASUL ABDURAKHMANOV
• ownership_type (string/null) — e.g. Sole proprietorship
• naics_code (string/null) — e.g. 485320
• naics_description (string/null) — e.g. Limousine Service
• license_start_date (string/null) — e.g. 20140814
• street_address (string/null) — e.g. 706 UNION ST # 409
• city (string/null) — e.g. SEATTLE
• state (string/null) — e.g. WA
• zip (string/null) — e.g. 98101
• business_phone (string/null) — e.g. 2062579788
• city_account_number (string/null) — e.g. 0007748490686809
• ubi (string/null) — e.g. 6044995720010001
• source (string/null) — e.g. seattle-business-license-tax-certificates
• release_date (string/null) — null in every sample row
• source_url (string/null) — e.g. https://data.seattle.gov/resource/wnbq-64tb.json
• observed_at (string/null) — e.g. 2026-09-18T19:44:20Z
• terminal (string/integer/null) — null in every sample row
• reported_total (string/integer/null) — null in every sample row
• raw_seen (string/integer/null) — null in every sample row
• duplicates (string/integer/null) — null in every sample row
• unique_found (string/integer/null) — null in every sample row
• delivered (string/integer/null) — null in every sample row
• scope (string/integer/null) — null in every sample row
• note (string/integer/null) — null in every sample row
• license (string/integer/null) — null in every sample row
• attribution (string/integer/null) — 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.

⚙️ Sample inputs

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

{
  "maxRecords": 50
}

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

2. A smaller, narrowed run

{
  "maxRecords": 5
}

Caps the run at 5 rows — about $0.12 on the Free tier ($0.02 start + 5 × $0.02).

3. A full-size run

{
  "maxRecords": 5000
}

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

🧾 JSON sample record

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

{
  "record_type": "seattle_business_license",
  "business_legal_name": "ABDURAKHMANOV RASUL",
  "trade_name": "RASUL ABDURAKHMANOV",
  "ownership_type": "Sole proprietorship",
  "naics_code": "485320",
  "naics_description": "Limousine Service",
  "license_start_date": "20140814",
  "street_address": "706 UNION ST # 409",
  "city": "SEATTLE",
  "state": "WA",
  "zip": "98101",
  "business_phone": "2062579788",
  "city_account_number": "0007748490686809",
  "ubi": null,
  "source": "seattle-business-license-tax-certificates",
  "release_date": null,
  "source_url": "https://data.seattle.gov/resource/wnbq-64tb.json",
  "observed_at": "2026-09-18T20:09:10Z"
}

🔧 How it works

Source. The actor reads data.seattle.gov — endpoints: https://data.seattle.gov/resource/wnbq-64tb.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.

🔧 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 Seattle Socrata resource (:id order, $limit/$offset) and count(*) reconciled. Fields copied verbatim. Streaming, bounded to maxRecords; full-scope :id-ordered, memory bounded.

Source

https://data.seattle.gov/resource/wnbq-64tb.json

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

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

💰 Pricing example

Event	Free	Bronze	Silver	Gold
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 × $0.02 = $0.18
• 25 registry records: $0.02 start + 25 × $0.02 = $0.52
• 5000 registry records: $0.02 start + 5000 × $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.

⚖️ Legal & ToS

This actor reads public, logged-out pages and feeds published by data.seattle.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.seattle.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 — 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 NexGen Watch actors actors?
A: Same output shape and billing model; this one covers data.seattle.gov. The siblings under Related Actors cover the other sources or slices — 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.

🆘 Troubleshooting

• Run FAILED with BLOCKED → the source refused the request or changed its page shape → 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 → your cap (maxRecords) was reached → raise it for a bigger run.
• Input validation error on start → a field is outside the schema's allowed values → start from the Quick start block and change one field at a time.
• Run TIMED-OUT → a very wide request on a slow day → 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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• Spain AEMPS Medicines Registry (CIMA) — One record per authorized medicine from the official CIMA REST API — national code, name, laboratory, authorization status; presentation/route/docume…
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• 🏢 About NexGenData — NexGen Watch is NexGenData's fleet of 281 public data actors built on official sources, pay-per-result. Browse the catalog at apify.com/nexgenwatch.

⭐ Found this useful?

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