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USPTO Trademark Official Gazette Scraper

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from $53.60 / 1,000 confirmed gazette event deltas

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USPTO Trademark Official Gazette Scraper

USPTO Trademark Official Gazette Scraper

Scrape the USPTO Trademark Official Gazette: marks, owners, classes, status and weekly changes. Every run returns the current records as a dataset. Optional watch mode returns only what changed since your last run. Pay per result.

Pricing

from $53.60 / 1,000 confirmed gazette event deltas

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NexGen Watch

NexGen Watch

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™️ USPTO Trademark Official Gazette Scraper

Scrape the USPTO Trademark Official Gazette: marks, owners, classes, status and weekly changes. Run it once and you get the current records as a dataset — that is the default. Turn on watch mode and a scheduled run returns only what changed since the last run (see Optional: run it on a schedule).

Output is one gazette_record row per result; billing is pay-per-event, the value event being one confirmed gazette event delta (a $0.02 start fee per run, then $0.08 per confirmed gazette event delta). Source: tm-eog-service.uspto.gov, tmog.uspto.gov, www.uspto.gov.

No login, no API key and no CAPTCHA solving are involved: the source is read logged-out.

📊 Sample Output

USPTO Trademark Official Gazette Scraper sample output — a table of real confirmed gazette event delta rows (issue_date, event_type, section_heading, serial_number) from run 9qwMsHWZ7dl4PEQCg on build 0.2.16

Real rows from run 9qwMsHWZ7dl4PEQCg on build 0.2.16 (2026-09-28), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

issue_dateevent_typesection_headingserial_numbercomposite_idcomposite_key
2026-09-22PUBLICATION_FOR_OPPOSITIONPublished for Opposition50001600USPTO:SN500016002026-09-22|PUBLICATION_FOR_OPPOSITION|SN:50001600
2026-09-22PUBLICATION_FOR_OPPOSITIONPublished for Opposition79439715USPTO:SN794397152026-09-22|PUBLICATION_FOR_OPPOSITION|SN:79439715
2026-09-22PUBLICATION_FOR_OPPOSITIONPublished for Opposition79440498USPTO:SN794404982026-09-22|PUBLICATION_FOR_OPPOSITION|SN:79440498
2026-09-22PUBLICATION_FOR_OPPOSITIONPublished for Opposition97240170USPTO:SN972401702026-09-22|PUBLICATION_FOR_OPPOSITION|SN:97240170
2026-09-22PUBLICATION_FOR_OPPOSITIONPublished for Opposition99120314USPTO:SN991203142026-09-22|PUBLICATION_FOR_OPPOSITION|SN:99120314
2026-09-22PUBLICATION_FOR_OPPOSITIONPublished for Opposition99430753USPTO:SN994307532026-09-22|PUBLICATION_FOR_OPPOSITION|SN:99430753
2026-09-22PUBLICATION_FOR_OPPOSITIONPublished for Opposition99430765USPTO:SN994307652026-09-22|PUBLICATION_FOR_OPPOSITION|SN:99430765
2026-09-22PUBLICATION_FOR_OPPOSITIONPublished for Opposition99492146USPTO:SN994921462026-09-22|PUBLICATION_FOR_OPPOSITION|SN:99492146

The run finished with the status message: CAPPED: delivered 25 of 45 matches

✅ What you get

One of three record types discriminated by record_type: trademark_delta (watch signal), gazette_record (snapshot), or source_receipt (never billed).

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. gazette_record
  • office (string/number/integer/boolean/null) — e.g. USPTO
  • issue_date (string/number/integer/boolean/null) — e.g. 2026-09-22
  • issue_number (string/number/integer/boolean/null) — e.g. 39
  • event_type (string/number/integer/boolean/null) — e.g. PUBLICATION_FOR_OPPOSITION
  • section_heading (string/number/integer/boolean/null) — e.g. Published for Opposition
  • serial_number (string/number/integer/boolean/null) — e.g. 50001600
  • registration_number (string/number/integer/boolean/null) — null in every sample row
  • composite_id (string/number/integer/boolean/null) — e.g. USPTO:SN50001600
  • composite_key (string/number/integer/boolean/null) — e.g. 2026-09-22|PUBLICATION_FOR_OPPOSITION|SN:50001600
  • mark_text (string/number/integer/boolean/null) — e.g. HUMAN X LIFE X PLANET, WITH AI X COMPUTE X QUANTUM
  • mark_type (string/number/integer/boolean/null) — e.g. UNKNOWN
  • owner_name (string/number/integer/boolean/null) — e.g. Shiyuan Zhu 1140 Wall Street, 1906 La Jolla CA California 92038 1 INDIVIDUAL
  • owner_address (string/number/integer/boolean/null) — null in every sample row
  • international_classes (array/string/number/integer/boolean/null) — e.g. [42]
  • goods_services (string/number/integer/boolean/null) — e.g. Cloud computing featuring software for use in artificial intelligence, computer
  • filing_date (string/number/integer/boolean/null) — e.g. 2026-07-20
  • publication_date (string/number/integer/boolean/null) — e.g. 2026-09-22
  • registration_date (string/number/integer/boolean/null) — null in every sample row
  • page_number (string/number/integer/boolean/null) — null in every sample row
  • parse_warnings (array/string/number/integer/boolean/null) — null in every sample row
  • source_url (string/number/integer/boolean/null) — e.g. https://tmog.uspto.gov/search/single-case-view?serialNumber=50001600&issueDate=2
  • observed_at (string) — e.g. 2026-09-28T04:13:29Z
  • source_hash (string/number/integer/boolean/null) — e.g. 3f7d5751e346999e10d046bf872aa6559d22f49e15554d38d57dd70f9dc51e7d
  • delta_type (string/null) — null in every sample row
  • before (object/array/string/number/integer/boolean/null) — null in every sample row
  • after (object/array/string/number/integer/boolean/null) — null in every sample row
  • changed_fields (array/object/string/null) — null in every sample row
  • record_key (string/null) — null in every sample row

✅ What you get

One of three record types discriminated by record_type: trademark_delta (watch signal), gazette_record (snapshot), or source_receipt (never billed).

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. gazette_record
  • office (string/number/integer/boolean/null) — e.g. USPTO
  • issue_date (string/number/integer/boolean/null) — e.g. 2026-09-22
  • issue_number (string/number/integer/boolean/null) — e.g. 39
  • event_type (string/number/integer/boolean/null) — e.g. PUBLICATION_FOR_OPPOSITION
  • section_heading (string/number/integer/boolean/null) — e.g. Published for Opposition
  • serial_number (string/number/integer/boolean/null) — e.g. 50001600
  • registration_number (string/number/integer/boolean/null) — null in every sample row
  • composite_id (string/number/integer/boolean/null) — e.g. USPTO:SN50001600
  • composite_key (string/number/integer/boolean/null) — e.g. 2026-09-22|PUBLICATION_FOR_OPPOSITION|SN:50001600
  • mark_text (string/number/integer/boolean/null) — e.g. HUMAN X LIFE X PLANET, WITH AI X COMPUTE X QUANTUM
  • mark_type (string/number/integer/boolean/null) — e.g. UNKNOWN
  • owner_name (string/number/integer/boolean/null) — e.g. Shiyuan Zhu 1140 Wall Street, 1906 La Jolla CA California 92038 1 INDIVIDUAL
  • owner_address (string/number/integer/boolean/null) — null in every sample row
  • international_classes (array/string/number/integer/boolean/null) — e.g. [42]
  • goods_services (string/number/integer/boolean/null) — e.g. Cloud computing featuring software for use in artificial intelligence, computer
  • filing_date (string/number/integer/boolean/null) — e.g. 2026-07-20
  • publication_date (string/number/integer/boolean/null) — e.g. 2026-09-22
  • registration_date (string/number/integer/boolean/null) — null in every sample row
  • page_number (string/number/integer/boolean/null) — null in every sample row
  • parse_warnings (array/string/number/integer/boolean/null) — null in every sample row
  • source_url (string/number/integer/boolean/null) — e.g. https://tmog.uspto.gov/search/single-case-view?serialNumber=50001600&issueDate=2
  • observed_at (string) — e.g. 2026-09-27T16:43:31Z
  • source_hash (string/number/integer/boolean/null) — e.g. 3f7d5751e346999e10d046bf872aa6559d22f49e15554d38d57dd70f9dc51e7d
  • delta_type (string/null) — null in every sample row
  • before (object/array/string/number/integer/boolean/null) — null in every sample row
  • after (object/array/string/number/integer/boolean/null) — null in every sample row
  • changed_fields (array/object/string/null) — null in every sample row
  • record_key (string/null) — null in every sample row

✅ What you get

One of three record types discriminated by record_type: trademark_delta (watch signal), gazette_record (snapshot), or source_receipt (never billed).

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. gazette_record
  • office (string/number/integer/boolean/null) — e.g. USPTO
  • issue_date (string/number/integer/boolean/null) — e.g. 2026-09-22
  • issue_number (string/number/integer/boolean/null) — e.g. 39
  • event_type (string/number/integer/boolean/null) — e.g. PUBLICATION_FOR_OPPOSITION
  • section_heading (string/number/integer/boolean/null) — e.g. Published for Opposition
  • serial_number (string/number/integer/boolean/null) — e.g. 50001600
  • registration_number (string/number/integer/boolean/null) — null in every sample row
  • composite_id (string/number/integer/boolean/null) — e.g. USPTO:SN50001600
  • composite_key (string/number/integer/boolean/null) — e.g. 2026-09-22|PUBLICATION_FOR_OPPOSITION|SN:50001600
  • mark_text (string/number/integer/boolean/null) — e.g. HUMAN X LIFE X PLANET, WITH AI X COMPUTE X QUANTUM
  • mark_type (string/number/integer/boolean/null) — e.g. UNKNOWN
  • owner_name (string/number/integer/boolean/null) — e.g. Shiyuan Zhu 1140 Wall Street, 1906 La Jolla CA California 92038 1 INDIVIDUAL
  • owner_address (string/number/integer/boolean/null) — null in every sample row
  • international_classes (array/string/number/integer/boolean/null) — e.g. [42]
  • goods_services (string/number/integer/boolean/null) — e.g. Cloud computing featuring software for use in artificial intelligence, computer
  • filing_date (string/number/integer/boolean/null) — e.g. 2026-07-20
  • publication_date (string/number/integer/boolean/null) — e.g. 2026-09-22
  • registration_date (string/number/integer/boolean/null) — null in every sample row
  • page_number (string/number/integer/boolean/null) — null in every sample row
  • parse_warnings (array/string/number/integer/boolean/null) — null in every sample row
  • source_url (string/number/integer/boolean/null) — e.g. https://tmog.uspto.gov/search/single-case-view?serialNumber=50001600&issueDate=2
  • observed_at (string) — e.g. 2026-09-23T17:25:39Z
  • source_hash (string/number/integer/boolean/null) — e.g. 3f7d5751e346999e10d046bf872aa6559d22f49e15554d38d57dd70f9dc51e7d
  • delta_type (string/null) — null in every sample row
  • before (object/array/string/number/integer/boolean/null) — null in every sample row
  • after (object/array/string/number/integer/boolean/null) — null in every sample row
  • changed_fields (array/object/string/null) — null in every sample row
  • record_key (string/null) — null in every sample row

✅ What you get

One of three record types discriminated by record_type: trademark_delta (watch signal), gazette_record (snapshot), or source_receipt (never billed).

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. gazette_record
  • office — e.g. USPTO
  • issue_date — e.g. 2026-09-15
  • issue_number — e.g. 38
  • event_type — e.g. PUBLICATION_FOR_OPPOSITION
  • section_heading — e.g. Published for Opposition
  • serial_number — e.g. 79434441
  • registration_number — null in every sample row
  • composite_id — e.g. USPTO:SN79434441
  • composite_key — e.g. 2026-09-15|PUBLICATION_FOR_OPPOSITION|SN:79434441
  • mark_text — e.g. AI OS
  • mark_type — e.g. UNKNOWN
  • owner_name — e.g. IMPLEMENT AI LTD 85 Great Portland Street, First Floor London W1W 7LT GB UNITED
  • owner_address — null in every sample row
  • international_classes — e.g. [35, 41, 42]
  • goods_services — e.g. Business consultancy and advisory services relating to the adoption, deployment
  • filing_date — e.g. 2025-08-26
  • publication_date — e.g. 2026-09-15
  • registration_date — null in every sample row
  • page_number — null in every sample row
  • parse_warnings — null in every sample row
  • source_url (string) — e.g. https://tmog.uspto.gov/search/single-case-view?serialNumber=79434441&issueDate=2
  • observed_at (string) — e.g. 2026-09-17T18:16:58Z
  • source_hash — e.g. 579477d2b793fbc2ad06336f04e55ec6bc1e1d2e06bc10b35fa527a484497342

What each record contains

  • gazette_record — a current-issue snapshot record (when watchMode = false): the mark, owner, status, Nice classes, event type, and issue date as printed in the Gazette.
  • trademark_delta — a confirmed new Gazette event on a watched mark (watch mode). delta_type is the event type (or CORRECTED_ENTRY); carries before / after, changed_fields, and an office-scoped composite_id (USPTO:SN… / USPTO:RN…).
  • source_receipt — stored outside the paid dataset in the RUN_RECEIPT key-value record, never billed: terminal state, issues processed, API records checked, byte/request counters, and any backlog.

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

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

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

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

⚙️ Sample inputs

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

{
"watchMode": false,
"markTextKeywords": [
"AI"
],
"eventTypes": [
"PUBLICATION_FOR_OPPOSITION"
],
"maxCatchupIssues": 1,
"maxItems": 25
}

The sample run charged exactly: 1 × $0.02 apify-actor-start + 0 × $0.08 trademark_delta + 1 × $0.10 gazette_issue_check = $0.12 on the Free tier — every delivered row was billed.

2. A smaller, narrowed run

{
"watchMode": false,
"markTextKeywords": [
"AI"
],
"eventTypes": [
"PUBLICATION_FOR_OPPOSITION"
],
"maxCatchupIssues": 1,
"maxItems": 5
}

Caps the run at 5 rows — about $0.42 on the Free tier ($0.02 start + 5 × $0.08).

3. Optional watch mode (changes only, for a schedule)

{
"watchMode": true,
"markTextKeywords": [
"AI"
],
"eventTypes": [
"PUBLICATION_FOR_OPPOSITION"
],
"maxCatchupIssues": 1,
"maxItems": 25
}

The first run seeds a private baseline and emits zero deltas; every later run emits one row per change, billed at $0.08 each.

🧾 JSON sample record

One real record from run 9qwMsHWZ7dl4PEQCg, exactly as it lands in the dataset (emails masked, long text shortened):

{
"record_type": "gazette_record",
"schema_version": "1.0",
"office": "USPTO",
"issue_date": "2026-09-22",
"issue_number": 39,
"event_type": "PUBLICATION_FOR_OPPOSITION",
"section_heading": "Published for Opposition",
"serial_number": "50001600",
"registration_number": null,
"composite_id": "USPTO:SN50001600",
"composite_key": "2026-09-22|PUBLICATION_FOR_OPPOSITION|SN:50001600",
"mark_text": "HUMAN X LIFE X PLANET, WITH AI X COMPUTE X QUANTUM",
"mark_type": "UNKNOWN",
"owner_name": "Shiyuan Zhu 1140 Wall Street, 1906 La Jolla CA California 92038 1 INDIVIDUAL",
"owner_address": null,
"international_classes": [
42
],
"goods_services": "Cloud computing featuring software for use in artificial intelligence, computer infrastructure, quantum computing, human biology, life science, and environment science.",
"filing_date": "2026-07-20",
"publication_date": "2026-09-22",
"registration_date": null,
"page_number": null,
"parse_warnings": [],
"source_url": "https://tmog.uspto.gov/search/single-case-view?serialNumber=50001600&issueDate=2026-09-22",
"observed_at": "2026-09-28T04:13:29Z",
"source_hash": "3f7d5751e346999e10d046bf872aa6559d22f49e15554d38d57dd70f9dc51e7d"
}

🔧 How it works

Source. The actor reads tm-eog-service.uspto.gov, tmog.uspto.gov, www.uspto.gov — endpoints: https://tm-eog-service.uspto.gov/eog-rest-service/api, https://tm-eog-service.uspto.gov/eog-rest-service/api/external/search/publications, https://tm-eog-service.uspto.gov/robots.txt, https://tmog.uspto.gov/search. Public pages and feeds only; nothing behind a login.

Transport. Requests go through Apify residential proxy. robots.txt is read first and a disallowed path is never fetched.

Watch semantics. Snapshot mode (watchMode: false) returns a preview. Watch mode keys every record on a source-native id, stores a private baseline in a named key-value store, and on each later run emits one delta row per change (new / changed / removed). A blocked fetch is never diffed, so a source outage cannot show up as a mass removal.

Terminal states. A run ends NORMAL, CAPPED (your cap was reached), PARTIAL (something was withheld and the message says what), GENUINE_EMPTY (the source was read and truly had nothing in scope) or BLOCKED (the source refused or changed shape — the run FAILS loud and bills nothing). A zero-row run is never reported as a silent success.

Charging. Each confirmed gazette event delta is charged at the moment it is pushed (trademark_delta); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

🔧 How it works

Source. The actor reads tm-eog-service.uspto.gov, tmog.uspto.gov, www.uspto.gov — endpoints: https://tm-eog-service.uspto.gov/eog-rest-service/api, https://tm-eog-service.uspto.gov/eog-rest-service/api/external/search/publications, https://tm-eog-service.uspto.gov/robots.txt, https://tmog.uspto.gov/search. Public pages and feeds only; nothing behind a login.

Transport. Requests go through Apify residential proxy. robots.txt is read first and a disallowed path is never fetched.

Watch semantics. Snapshot mode (watchMode: false) returns a preview. Watch mode keys every record on a source-native id, stores a private baseline in a named key-value store, and on each later run emits one delta row per change (new / changed / removed). A blocked fetch is never diffed, so a source outage cannot show up as a mass removal.

Terminal states. A run ends NORMAL, CAPPED (your cap was reached), PARTIAL (something was withheld and the message says what), GENUINE_EMPTY (the source was read and truly had nothing in scope) or BLOCKED (the source refused or changed shape — the run FAILS loud and bills nothing). A zero-row run is never reported as a silent success.

Charging. Each confirmed gazette event delta is charged at the moment it is pushed (trademark_delta); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

🔧 How it works

Source. The actor reads tm-eog-service.uspto.gov, tmog.uspto.gov, www.uspto.gov — endpoints: https://tm-eog-service.uspto.gov/eog-rest-service/api, https://tm-eog-service.uspto.gov/eog-rest-service/api/external/search/publications, https://tm-eog-service.uspto.gov/robots.txt, https://tmog.uspto.gov/search. Public pages and feeds only; nothing behind a login.

Transport. Requests go through Apify residential proxy. robots.txt is read first and a disallowed path is never fetched.

Watch semantics. Snapshot mode (watchMode: false) returns a preview. Watch mode keys every record on a source-native id, stores a private baseline in a named key-value store, and on each later run emits one delta row per change (new / changed / removed). A blocked fetch is never diffed, so a source outage cannot show up as a mass removal.

Terminal states. A run ends NORMAL, CAPPED (your cap was reached), PARTIAL (something was withheld and the message says what), GENUINE_EMPTY (the source was read and truly had nothing in scope) or BLOCKED (the source refused or changed shape — the run FAILS loud and bills nothing). A zero-row run is never reported as a silent success.

Charging. Each confirmed gazette event delta is charged at the moment it is pushed (trademark_delta); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

🔧 How it works

Transport. Requests go through Apify residential proxy. robots.txt is read first and a disallowed path is never fetched.

Terminal states. A run ends NORMAL, CAPPED (your cap was reached), PARTIAL (something was withheld and the message says what), GENUINE_EMPTY (the source was read and truly had nothing in scope) or BLOCKED (the source refused or changed shape — the run FAILS loud and bills nothing). A zero-row run is never reported as a silent success.

Charging. Each confirmed gazette event delta is charged at the moment it is pushed (trademark_delta); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

First run and later runs — read this first

Two modes:

  • Snapshot (watchMode: false, the runtime and form default): returns the current Gazette issue's matching records right away as gazette_record rows. Omitting watchMode also selects snapshot, so {} does not silently seed an empty watch. Billed one gazette_issue_check for the issue processed — the snapshot records themselves are not billed per-record. Use it to see the data now.
  • Watch (watchMode: true): the first run seeds a private baseline and emits zero deltas (it establishes what already exists so it does not alert you to history). Later Tuesday issues produce only new matching events as trademark_delta — this is the change feed. maxCatchupIssues (1–3) bounds how much backlog each run processes.

Only an explicitly requested watch run seeds rather than alerting; point that watch at a weekly schedule and the deltas start with the next issue.

Source, scope and limits

Public / logged-out official USPTO TMOG search service only; robots honoured; no login, API key, CAPTCHA or paywall defeating. The Actor walks every result page in your requested filter scope before calling an issue complete, while returning only your requested maxItems. owner_name preserves USPTO's public current-owner display text, which can include an address; owner_address remains null on this source path. Identity is office + serial/registration number, using official publication reasons only — legal outcomes are never inferred. This is not TSDR live status, legal docketing, clearance, ownership verification, or legal advice. The Gazette is weekly and event-oriented — absence proves nothing. Design-only marks may have null mark text. Catch-up is capped at 3 issues/run. Blocks, incomplete pagination and shape drift fail loud, never as a clean empty.

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.

⏰ Optional: run it on a schedule

A single run returns the current records. If you also want to be told what changed over time, open the actor in Apify Console → Schedules → Create new, add this actor with input 3 above (watchMode: true) so each run returns only the changes, and pick a cadence:

  • Daily — 0 7 * * * (07:00 UTC): catch changes within a day.
  • Weekly — 0 7 * * 1: a Monday digest.

Each run is independent; keep the same input on the schedule so the results stay comparable. Schedules can also POST results to a webhook (Console → Integrations).

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

⏰ Optional: run it on a schedule

A single run returns the current records. If you also want to be told what changed over time, open the actor in Apify Console → Schedules → Create new, add this actor with the watch-mode input above (watchMode: true) so each run returns only the changes, and pick a cadence:

  • Daily — 0 7 * * * (07:00 UTC): catch changes within a day.
  • Weekly — 0 7 * * 1: a Monday digest.

Each run is independent; keep the same input on the schedule so the results stay comparable. Schedules can also POST results to a webhook (Console → Integrations).

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

⏰ Optional: run it on a schedule

A single run returns the current records. If you also want to be told what changed over time, open the actor in Apify Console → Schedules → Create new, add this actor with the watch-mode input above (watchMode: true) so each run returns only the changes, and pick a cadence:

  • Daily — 0 7 * * * (07:00 UTC): catch changes within a day.
  • Weekly — 0 7 * * 1: a Monday digest.

Each run is independent; keep the same input on the schedule so the results stay comparable. Schedules can also POST results to a webhook (Console → Integrations).

💰 Pricing example

EventFreeBronzeSilverGold
Actor Start (apify-actor-start)$0.02$0.02$0.02$0.02
Confirmed Gazette event delta (trademark_delta)$0.08$0.072$0.064$0.0536
Gazette issue processed (gazette_issue_check)$0.10$0.09$0.08$0.067

Worked at the live Free-tier price (watch mode, one delta per change):

  • 8 confirmed gazette event deltas: $0.02 start + 8 × $0.08 = $0.66
  • 25 confirmed gazette event deltas: $0.02 start + 25 × $0.08 = $2.02
  • 5000 confirmed gazette event deltas: $0.02 start + 5000 × $0.08 = $400.02

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 512 MB.

Yield on the sample run: CAPPED: delivered 25 of 45 matches. maxItems is a hard ceiling on what is delivered and billed, never a target.

This actor reads public, logged-out pages and feeds published by tm-eog-service.uspto.gov, tmog.uspto.gov, www.uspto.gov. It collects only what the source publishes to any visitor, keeps to the source's robots rules (checked on every run), identifies itself, 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 (tm-eog-service.uspto.gov, tmog.uspto.gov, www.uspto.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 (in watch mode the first run always seeds the baseline and returns zero deltas); 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 maxItems (default 5000). Raise the cap for a bigger run; you pay per delivered row.

Q: What does watch mode remember between runs?
A: A private baseline of source-native record ids in a named key-value store. Each later run diffs the live source against it and emits only changes.

Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs except the watch baseline. 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 IP and trademark scrapers actors?
A: Same output shape and billing model; this one covers tm-eog-service.uspto.gov, tmog.uspto.gov, www.uspto.gov. The siblings under Related Actors cover the other sources or slices — run several on one schedule for a combined feed.

🆘 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 (maxItems) 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.
  • First watch run shows no deltas → expected: it seeds the baseline; changes appear from the second run.
  • EPO Patent Corrections Scraper — Scrape European patent correction publications (A8/A9/B8/B9) from the EPO: patent, applicant and correction date. Every run returns the current recor…
  • EPO Granted Patents Scraper — Scrape granted European patents (B1) from the EPO: proprietor, title, IPC and grant publication date. Every run returns the current records as a data…
  • EPO European Patent Bulletin Scraper — Scrape the European Patent Bulletin: all publication kinds, applicant, title, IPC and publication date. Every run returns the current records as a da…
  • WIPO UDRP Domain Decisions Scraper — Scrape WIPO UDRP domain name dispute decisions: domain, complainant, respondent, outcome and date. Every run returns the current records as a dataset…
  • 🏢 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?

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 — every one is read.