⚖️ USPTO Trademark Text Check Actor

Verify entire product titles, descriptions, and keyword strings against the official USPTO trademark registry database under specific classifications instantly.

Designed specifically for Print-on-Demand (POD) sellers, Merch by Amazon creators, Redbubble artists, and copyright monitors to safeguard listing metadata and prevent IP policy strikes.

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🌟 Key Features

• Contextual Text Checking: Submit full sentences, listing titles, or blocks of tags rather than individual words.
• Classification Filtering: Direct search results to specific International Classes (e.g. 025 for clothing, 009 for electronics, 024 for fabrics).
• Detailed Extracted Records: Includes trademark wordmarks, serial numbers, registration numbers, status description codes, and drawing codes.
• Automatic Tabular Expansion: Spreads nested JSON matching records into clean table rows on the Apify console for easy export.

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📥 Input Parameters

Field	Type	Description	Prefill Example
Search Text	string	The title or description block to check.	Gift For Bob: Unique Logic Puzzle Gift Collection (Book Gift)
International Class	string	The 3-digit class code to search inside.	024
Status Type	select	Filter by live, dead, or all status.	live
Results Page	number	The specific page of results to retrieve.	1

Input JSON Example

{
  "text": "Gift For Bob: Unique Logic Puzzle Gift Collection (Book Gift)",
  "classification": "024",
  "status_type": "live"
}

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📤 Output Data Structure

The dataset outputs clean table rows matching either successful hits or a safe status:

Output JSON Example (Trademark Found)

{
  "success": true,
  "query_text": "Gift For Bob: Unique Logic Puzzle Gift Collection (Book Gift)",
  "query_classification": "024",
  "query_status_type": "live",
  "trademark_match": true,
  "id": 14256050,
  "serial_number": "98482461",
  "registration_number": "7719508",
  "status": {
    "code": 700,
    "label": "Live/Registered",
    "description": "REGISTERED"
  },
  "mark_identification": "UNIQUE",
  "mark_drawing_code": "4",
  "mark_drawing_type": "text",
  "classifications": ["024"],
  "status_label": "Live/Registered",
  "status_description": "REGISTERED"
}

Output JSON Example (No Match / Safe)

{
  "success": true,
  "query_text": "Beautiful sunset puzzle",
  "query_classification": "024",
  "query_status_type": "live",
  "trademark_match": false,
  "message": "No matching trademarks found. Text appears safe under this classification."
}