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Texas Active Franchise Taxpayers

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from $13.40 / 1,000 registry records

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Texas Active Franchise Taxpayers

Texas Active Franchise Taxpayers

One record per active TX franchise taxpayer (identity, SOS/COA file number, organization type, charter/status dates, right-to-transact status) from the keyless TX Socrata resource.

Pricing

from $13.40 / 1,000 registry records

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NexGen Watch

NexGen Watch

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πŸ”” Texas Active Franchise Taxpayers

One record per active TX franchise taxpayer (identity, SOS/COA file number, organization type, charter/status dates, right-to-transact status) from the keyless TX Socrata resource. Status fields are carried verbatim β€” the actor never re-labels a row 'active' beyond what right_to_transact_status / sos_status_code publish.

Public, robots-honoured.

Output is one tx_franchise_taxpayer 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.texas.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

Texas Active Franchise Taxpayers sample output β€” a table of real registry record rows (taxpayer_number, name, organization_type, responsibility_beginning_date) from run 44KFc8SWqGFqEyLeF on build 0.1.4

Real rows from run 44KFc8SWqGFqEyLeF 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):

taxpayer_numbernameorganization_typeresponsibility_beginning_dateaddresscity
10101858008FIRST HARTFORD CORPORATIONCF2008-01-01T00:00:00.000149 COLONIAL RDMANCHESTER
10102062600CIANBRO CORPORATIONCF1982-08-18T00:00:00.000101 CIANBRO SQPITTSFIELD
10102338943GEIGER BROSCF1995-02-01T00:00:00.000PO BOX 1609 C/O BLAINE MARTINEAULEWISTON
10102421053FRASER PAPER LIMITEDCF2004-07-15T00:00:00.0002350 FRANKLIN RD STE 230BLOOMFIELD
10102871471ADVANTAGE PAYROLL SERVICES, INC.CF2001-08-13T00:00:00.000911 PANORAMA TRL S ATTN:DIANA WALDRUFFROCHESTER
10103094396IRVING FOREST PRODUCTS INCCF1994-10-01T00:00:00.000PO BOX 5888SAINT JOHN
10103300256JOHNSON OUTDOORS WATERCRAFT INC.CF2009-03-01T00:00:00.000555 MAIN ST STE 242RACINE
10103462742XTRA LLCCF2001-01-01T00:00:00.0007911 FORSYTH BLVD STE 600SAINT LOUIS

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. tx_franchise_taxpayer
  • taxpayer_number (string/null) β€” e.g. 10101858008
  • name (string/null) β€” e.g. FIRST HARTFORD CORPORATION
  • organization_type (string/null) β€” e.g. CF
  • record_type_code (string/null) β€” e.g. X
  • sos_coa_file_number (string/null) β€” e.g. 0005566306
  • sos_charter_date (string/null) β€” e.g. 1982-08-18T00:00:00.000
  • sos_status_date (string/null) β€” e.g. 2010-08-12T00:00:00.000
  • sos_status_code (string/null) β€” e.g. R
  • responsibility_beginning_date (string/null) β€” e.g. 2008-01-01T00:00:00.000
  • right_to_transact_status (string/null) β€” e.g. A
  • current_exempt_reason_code (string/null) β€” null in every sample row
  • exempt_begin_date (string/null) β€” null in every sample row
  • address (string/null) β€” e.g. 149 COLONIAL RD
  • city (string/null) β€” e.g. MANCHESTER
  • state (string/null) β€” e.g. CT
  • zip (string/null) β€” e.g. 06042
  • county_code (string/null) β€” e.g. 0
  • source (string/null) β€” e.g. texas-active-franchise-taxpayers
  • release_date (string/null) β€” null in every sample row
  • source_url (string/null) β€” e.g. https://data.texas.gov/resource/9cir-efmm.json
  • observed_at (string/null) β€” e.g. 2026-09-18T19:31:14Z
  • 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 44KFc8SWqGFqEyLeF, exactly as it lands in the dataset (emails masked, long text shortened):

{
"record_type": "tx_franchise_taxpayer",
"taxpayer_number": "10101858008",
"name": "FIRST HARTFORD CORPORATION",
"organization_type": "CF",
"record_type_code": "X",
"sos_coa_file_number": null,
"sos_charter_date": null,
"sos_status_date": null,
"sos_status_code": null,
"responsibility_beginning_date": "2008-01-01T00:00:00.000",
"right_to_transact_status": "A",
"current_exempt_reason_code": null,
"exempt_begin_date": null,
"address": "149 COLONIAL RD",
"city": "MANCHESTER",
"state": "CT",
"zip": "06042",
"county_code": "0",
"source": "texas-active-franchise-taxpayers",
"release_date": null,
"source_url": "https://data.texas.gov/resource/9cir-efmm.json",
"observed_at": "2026-09-18T19:31:14Z"
}

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 TX Socrata resource (:id order, $limit/$offset) and the count(*) reconciled against delivery. right_to_transact_business_code and sos_status_code are emitted exactly as published; no derived active/inactive flag is added. Streaming, bounded to maxRecords. A Socrata error on page 0 fails loud.

Source

https://data.texas.gov/resource/9cir-efmm.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.texas.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.texas.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 NexGen Watch actors actors?
A: Same output shape and billing model; this one covers data.texas.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 NexGenData β€” NexGen Watch is NexGenData's fleet of 256 public monitoring and lookup 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.