Trademark Watch Monitor
Pricing
from $6.50 / 1,000 record checkeds
Trademark Watch Monitor
Monitor trademark filings, classes, owners, and keyword watchlists from public sources.
Pricing
from $6.50 / 1,000 record checkeds
Rating
0.0
(0)
Developer
junipr
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 days ago
Last modified
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Store Positioning
Store title: Trademark Watch Monitor
Short description: Monitor trademark filings, classes, owners, and keyword watchlists from public sources.
SEO title: Trademark Watch Monitor — official public data extraction and monitoring
SEO description: Monitor trademark filings, classes, owners, and keyword watchlists from public sources. Use it to normalize official public data into clean Apify datasets with source-specific fields and report artifacts.
Categories: AUTOMATION, NEWS
Keywords: trademark, watch, monitor, public data, official/public-data actor
Fixed-Inclusive PPE Pricing
This actor uses pay-per-event pricing. Event prices include Apify platform usage; users are not expected to pay a separate platform-usage pass-through charge for the configured pricing model.
- Tier: D1 — Official/public-data actor
- Primary event:
record-checkedat $0.00908 base - Default max charge: $15.00
- Store discounts: FREE/BRONZE base, SILVER discounted, GOLD deepest approved discount
Event set:
actor-start: base $0.02000, GOLD $0.01760. Trademark Watch Monitor: charged when actor start is completed. The price includes Apify platform usage; no separate usage pass-through is intended.record-checked: base $0.00908, GOLD $0.00799. Trademark Watch Monitor: charged when record checked is completed. The price includes Apify platform usage; no separate usage pass-through is intended.event-detected: base $0.01300, GOLD $0.01140. Trademark Watch Monitor: charged when event detected is completed. The price includes Apify platform usage; no separate usage pass-through is intended.report-generated: base $0.05000, GOLD $0.04400. Trademark Watch Monitor: charged when report generated is completed. The price includes Apify platform usage; no separate usage pass-through is intended.
Public Task Concepts
- Compare previous and current Trademark Watch snapshots
- Monitor Trademark Watch changes for a capped watchlist
- Build a Trademark Watch change digest from supplied evidence
- Prioritize high-impact Trademark Watch changes
- Export Trademark Watch change rows for client review
Monitor trademark filings, classes, owners, and keyword watchlists from public sources.
What This Actor Does
Trademark Watch Monitor turns small, explicit watchlists or supplied records into structured Apify dataset rows and a concise report. It is built for local-first and Store-safe default runs: the default input uses deterministic fixture records, applies tight caps, and does not spend network, browser, proxy, LLM, or live Apify usage by default.
The actor checks each supplied record for source identity, matched watch terms, actor-specific metadata, issue signals, severity, recommendations, and pricing metadata. It writes one dataset row per processed record and, when enabled, key-value-store JSON and Markdown summaries for review workflows.
What This Actor Does Not Do
- It does not provide legal, medical, financial, investment, safety, or compliance advice.
- It does not guarantee completeness of any public source or third-party dataset.
- It does not collect sensitive personal data by default.
- It does not rely on unsupported private APIs.
- It does not run live Apify publication, pricing, icon upload, or smoke-test steps from local validation.
Best Use Cases
- brand protection watchlists
- Nice class monitoring
- owner and status reviews
Input Fields Explained
| Field | Type | Default | Notes |
|---|---|---|---|
records | array | fixture records | Records or snapshots to check. Each item can include title, description, body, entity, category, keywords, and metadata. |
urls | array | [] | Reserved for optional source URLs. Defaults do not fetch URLs. |
fetchUrls | boolean | false | Enables HTTP fetching for records with sourceUrl and no body. Keep false for deterministic local runs. |
watchTerms | array | actor defaults | Terms used to mark relevant records and alerts. |
includeReport | boolean | true | Writes JSON and Markdown report artifacts to the key-value store. |
maxItems | integer | 2 | Caps processed records. Maximum is 50. |
maxTextBytes | integer | 500000 | Caps analyzed text per record. |
debug | boolean | false | Enables debug logging. |
Example Input
{"records": [{"sourceId": "tm-junipr-match","sourceUrl": "https://trademarks.example/serial/98000001","title": "JUNIPR SIGNAL","description": "New trademark filing for JUNIPR SIGNAL covering software analytics services.","entityName": "Example Labs LLC","category": "software","date": "2026-06-28","keywords": ["junipr"],"metadata": {"serialNumber": "98000001","owner": "Example Labs LLC","classes": ["009","042"],"status": "New application"}},{"sourceId": "tm-thin-record","sourceUrl": "https://trademarks.example/serial/pending","title": "Unclassified mark record","description": "Trademark record lacks owner and class metadata.","entityName": "","category": "unknown","date": "2026-06-28","keywords": [],"metadata": {"serialNumber": ""}}],"includeReport": true,"maxItems": 2}
Output Fields Explained
| Field | Meaning |
|---|---|
auditId | Stable hash for the checked record. |
sourceId, sourceUrl | Source identifiers for traceability. |
status, severity, score | Normalized outcome and 0-100 quality/risk score. |
matchedKeywords | Watch terms found in the record text or metadata. |
issues, issueCodes | Actor-specific findings with severity and messages. |
recommendations | Next actions for the operator or content/data owner. |
metadata | Original metadata plus derived helper fields when applicable. |
pricingTemplate, pricingEventName | Pricing source and primary PPE event used by the actor. |
Example Output
{"auditId": "trademar_93c30f0bb3356fe1","actorSlug": "trademark-watch-monitor","actorName": "Trademark Watch Monitor","sourceType": "fixture","sourceId": "tm-junipr-match","sourceUrl": "https://trademarks.example/serial/98000001","title": "JUNIPR SIGNAL","status": "pass","severity": "none","score": 100,"matchedKeywords": ["junipr"],"primaryEntity": "Example Labs LLC","category": "software","publishedAt": "2026-06-28","summary": "New trademark filing for JUNIPR SIGNAL covering software analytics services.","issueCount": 0,"issues": [],"issueCodes": [],"recommendations": ["Trademark Watch Monitor did not find immediate risk signals for this record. Re-run after source data changes."],"metadata": {"serialNumber": "98000001","owner": "Example Labs LLC","classes": ["009","042"],"status": "New application","sourceSpecific": {"trademarkRows": [{"serialNumber": "98000001","markText": "JUNIPR SIGNAL","ownerName": "Example Labs LLC","classes": ["009","042"],"status": "New application","filingDate": "2026-06-28"}]},"normalizedTextPreview": "tm-junipr-match https://trademarks.example/serial/98000001 JUNIPR SIGNAL New trademark filing for JUNIPR SIGNAL covering software analytics services. Example Labs LLC software junipr {\"serialNumber\":\"98000001\",\"owner\":\"Example Labs LLC\",\"c"},"textBytes": 289,"checkedAt": "2026-07-02T00:00:00.000Z","pricingTemplate": "D1 — Official/public-data actor","pricingEventName": "record-checked"}
Cost-Control Tips
- Keep
maxItemssmall for default and scheduled checks. - Use supplied records or snapshots for deterministic QA runs.
- Leave
fetchUrlsoff unless live source fetching is explicitly needed. - Review warning rows before increasing caps.
- Schedule small frequent runs instead of broad one-off sweeps.
Scheduling Examples
- Daily watchlist check with two to five high-value records.
- Weekly QA run before publishing a site, data, or actor update.
- Post-migration or post-release validation using a fixed fixture set.
Public Task Examples
tiny-default-check- Run a two-record trademark watch monitor fixture check with report artifacts enabled.watchlist-digest- Process a small supplied watchlist and summarize matched terms.risk-triage-report- Return only records with warning or fail status for review workflows.scheduled-monitor- Run Trademark Watch Monitor on a daily or weekly schedule with tight caps.schema-and-billing-preflight- Validate output shape and PPE event names before live setup.
FAQ
Does this actor make live Apify changes?
No. The local package does not push, publish, create tasks, write live pricing, or upload live icons. Those cloud steps are intentionally deferred.
Can I use this with live URLs?
Yes, set fetchUrls to true and provide records with sourceUrl, but the default path is fixture-only so local validation is deterministic and cheap.
Why does it charge before pushing output?
Pay-per-event actors must charge before paid output is written. Local runs bypass PPE so tests and smoke checks do not require cloud billing.
What happens on charge limits?
The actor stops gracefully and writes a summary instead of pushing unpaid result rows.
Is this legal, financial, safety, or compliance advice?
No. The actor produces operational signals and structured data for review. Human owners remain responsible for decisions.
Troubleshooting
- If the dataset is empty, check that
maxItemsis greater than zero and that records are supplied or defaults are enabled. - If a record is flagged unexpectedly, inspect
issueCodes,matchedKeywords, and the normalized metadata preview. - If live fetching fails, rerun with supplied record bodies or snapshots and keep
fetchUrlsfalse.
Limitations
This actor only sees the records, snapshots, or URLs supplied to it. It does not guarantee complete public-source coverage, private-source access, or all edge-case parsing. Browser and proxy flows are not used by default.
Source And Safety Notes
The default fixtures are synthetic and safe for local QA. When connecting public sources, use official or permissioned endpoints where possible and avoid sensitive personal data. Do not use the output as a substitute for professional advice.
Changelog
- 2026-07-02: Initial local-first actor package with schemas, fixture tests, pricing source, icon registration, and cloud-deferred QA evidence.