USPTO Trademark Search Scraper [Just 💰$1.53]

What does USPTO Trademark Search Scraper do?

USPTO Trademark Search Scraper extracts structured record data from tmsearch.uspto.gov — including contact details, full descriptions, and location data. It supports keyword search and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and contact information) where the source provides them.

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Key features

• 📝 Mark details: markText, markType, drawingType and standardCharacters describe the mark on each record.
• ⚖️ Legal status: status, statusCode, statusCategory and statusDate show where each record stands in the register.
• 📅 Filing and registration dates: filingDate, registrationDate, abandonedDate and cancelledDate as separate date fields on each record.
• 👤 Owner and applicant: ownerName, ownerEntityType, ownerCountry and ownerCity name who owns each record.
• 🔢 Classes: internationalClasses, usClasses, designCodes and designCodeDescriptions on each record, so you can filter by class.
• 📋 Goods and services: goodsAndServices and goodsAndServicesText list what each record covers.
• 🔍 Keyword search: search tmsearch.uspto.gov by keyword with the query input.
• 🔗 Paste-mode: paste tmsearch.uspto.gov URLs into startUrls to scrape exactly the pages you picked in the browser.
• 📋 Detail enrichment: toggle two-stage scraping: first collect listings, then enrich each with full description + detail-page-only fields. Off by default to keep runs fast; flip on when you need the deep payload.
• ♻️ Incremental mode: recurring runs emit only directory entries that are new or updated — keep your supplier-outreach lists fresh without re-fetching the full directory. Saves 80–95% on weekly syncs.
• 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.

What data can you extract from tmsearch.uspto.gov?

Each result includes Core record fields (type, serialNumber, registrationNumber, wordmark, markText, markTextPseudo, markType, and drawingCode, and more), detail fields when enrichment is enabled (markDescription, designCodeDescriptions, and detailFetched), and contact information (attorneyEmail and correspondentEmail). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and contact information where the source provides them.

Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — What to search for — a mark name, an owner, a serial/registration number, or wording from the goods & services, depending on Search Field below. Use a JSON array for several searches, e.g. ["coffee","tesla"].
• searchType — Which part of the trademark record the search term is matched against. (default: "mark")
• maxResults — Maximum total results (0 = unlimited). (default: 100)
• liveOnly — Return only live records (pending applications and active registrations), skipping abandoned, cancelled and expired ones. (default: false)
• includeDetails — Also fetch the full case record per mark: attorney and correspondent contact details, docket number, international registration and the complete prosecution history. (default: true)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• excludeEmptyFields — Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards. (default: false)
• incrementalMode — Compare against previous run state and return only new or changed records. stateKey is optional — defaults to a value derived from your search inputs (queries, search field, live-only) so different searches never share state. (default: false)
• stateKey — Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.
• skipReposts — When incremental, skip records whose content matches a record that disappeared in a prior run (cross-run duplicate detection). (default: false)
• emitUnchanged — When incremental mode is on, also emit records whose content has not changed since the last run. (default: false)
• emitExpired — When incremental mode is on, also emit records that were seen before but are no longer found by the search. (default: false)
• ...and 15 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "coffee",
  "maxResults": 50
}

Incremental tracking — Only emit records that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "coffee",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "coffee-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "coffee",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured record records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example record record

{
  "type": "trademark",
  "serialNumber": "85081040",
  "wordmark": "8835 COFFEE. COFFEE. COFFEE. COFFEE. COFFEE. COFFEE. COFFEE. COFFEE.",
  "markText": "8835 COFFEE. COFFEE. COFFEE. COFFEE. COFFEE. COFFEE. COFFEE. COFFEE.",
  "markType": [
    "SERVICE MARK"
  ],
  "drawingCode": 3,
  "drawingType": "(3) DESIGN PLUS WORDS, LETTERS, AND/OR NUMBERS",
  "standardCharacters": false,
  "status": "ABANDONED - NO STATEMENT OF USE FILED",
  "statusCode": 606,
  "statusCategory": "DEAD/APPLICATION/Refused/Dismissed or Invalidated",
  "statusDefinition": "This trademark application was refused, dismissed, or invalidated by  the Office and this application is no longer active.",
  "statusDate": "2011-10-24",
  "live": false,
  "registered": false,
  "register": "PRINCIPAL",
  "registrationType": [
    "PRINCIPAL"
  ],
  "filingDate": "2010-07-09",
  "publishedForOppositionDate": "2011-01-25",
  "abandonedDate": "2011-10-24",
  "internationalClasses": [
    43
  ],
  "usClasses": [
    "100",
    "101"
  ],
  "goodsAndServices": [
    {
      "class": 43,
      "description": "Cafes; Coffee shops; Coffee-house and snack-bar services.",
      "status": "ABANDONED"
    }
  ],
  "goodsAndServicesText": "(ABANDONED) IC 043: Cafes; Coffee shops; Coffee-house and snack-bar services.",
  "ownerName": "Chuang, Tong-Shu",
  "ownerNames": [
    "Chuang, Tong-Shu (INDIVIDUAL; TAIWAN)"
  ],
  "ownerFullText": [
    "(LAST LISTED OWNER) Chuang, Tong-Shu (INDIVIDUAL; TAIWAN); 14-1, Aly. 1, Ln. 120, Jiannan Rd., Nanzi Dist., Kaohsiung City, TAIWAN"
  ],
  "ownerType": "OWNER AT PUBLICATION",
  "ownerEntityType": "INDIVIDUAL",
  "ownerCountry": "TAIWAN",
  "ownerCity": "Kaohsiung City",
  "ownerAddress": "TAIWAN",
  "originalOwnerName": "Chuang, Tong-Shu",
  "owners": [
    {
      "name": "Chuang, Tong-Shu",
      "rawName": "Chuang, Tong-Shu (INDIVIDUAL; TAIWAN)",
      "entityType": "INDIVIDUAL",
      "country": "TAIWAN",
      "city": "Kaohsiung City",
      "address": "TAIWAN",
      "type": "LAST LISTED OWNER",
      "fullText": "(LAST LISTED OWNER) Chuang, Tong-Shu (INDIVIDUAL; TAIWAN); 14-1, Aly. 1, Ln. 120, Jiannan Rd., Nanzi Dist., Kaohsiung City, TAIWAN"
    }
  ],
  "attorneyName": "Alan D. Kamrath",
  "attorneyEmail": "alan@thelawfirm.cc",
  "correspondentName": "ALAN D. KAMRATH",
  "correspondentEmail": "alan@thelawfirm.cc",
  "correspondentAddress": "KAMRATH & ASSOCIATES, P.A., 4825 OLSON MEMORIAL HWY STE 245, GOLDEN VALLEY, MINNESOTA, 55422-5156, UNITED STATES",
  "docketNumber": "MAME100606",
  "disclaimer": "\"COFFEE\"",
  "markDescription": "The color(s) white, black, brown, light and dark orange is/are claimed as a feature of the mark. The mark consists of the numbers \"88\" placed over the numbers \"35\", with these four numbers in reverse...",
  "designCodes": [
    "260108",
    "260117",
    "260121"
  ],
  "designCodeDescriptions": [
    "26.01.08 - Circles having letters or numerals as a border; Circles having punctuation as a border; Letters, numerals or punctuation forming or bordering the perimeter of a circle",
    "26.01.17 - Circles, two concentric; Concentric circles, two; Two concentric circles",
    "26.01.21 - Circles that are totally or partially shaded."
  ],
  "filingBasisCurrent": [
    "1B"
  ],
  "filingBasisOriginal": [
    "1B"
  ],
  "assignmentRecorded": false,
  "prosecutionHistory": [
    {
      "date": "2011-10-25",
      "description": "ITU Unit Action"
    },
    {
      "date": "2011-10-24",
      "description": "ABANDONMENT NOTICE MAILED - NO USE STATEMENT FILED"
    },
    {
      "date": "2011-10-24",
      "description": "ABANDONMENT - NO USE STATEMENT FILED"
    },
    {
      "date": "2011-10-24",
      "description": "Notice of Abandonment"
    },
    {
      "date": "2011-03-22",
      "description": "NOA E-MAILED - SOU REQUIRED FROM APPLICANT"
    },
    "... 27 more items"
  ],
  "imageUrl": "https://tsdr.uspto.gov/img/85081040/large",
  "tsdrUrl": "https://tsdr.uspto.gov/#caseNumber=85081040&caseSearchType=US_APPLICATION&caseType=DEFAULT&searchType=statusSearch",
  "portalUrl": "https://tsdr.uspto.gov/#caseNumber=85081040&caseSearchType=US_APPLICATION&caseType=DEFAULT&searchType=statusSearch",
  "position": 1,
  "searchType": "mark",
  "searchQuery": "coffee",
  "source": "tmsearch.uspto.gov",
  "scrapedAt": "2026-10-15T06:31:38.843Z",
  "listingId": "d62042b16d5f0e44e6ebc6ed46d4d377f918eb8997f832d5b25bc512c7e0051c",
  "contentQuality": "full",
  "detailFetched": true,
  "contentHash": "ac38c12295655db536f407b3dea32ed06bfc615671a722a05ee6c1f3a507364f"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape tmsearch.uspto.gov

1. Go to USPTO Trademark Search Scraper in Apify Console.
2. Enter a search keyword.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract record data from tmsearch.uspto.gov for market research and competitive analysis.
• Monitor new and changed records on scheduled runs without processing the full dataset every time.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape tmsearch.uspto.gov?

USPTO Trademark Search Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.00153 per record record

Example costs:

• 10 results: $0.025
• 25 results: $0.048
• 100 results: $0.16
• 200 results: $0.32
• 500 results: $0.77

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of records that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 records per run, daily polling (30 runs/month). Costs scale linearly with the number of records.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.39	$0.03	$0.36 (93%)	$0.87
15% — moderate broad query	$0.39	$0.07	$0.33 (83%)	$2.02
30% — high-volume aggregator	$0.39	$0.12	$0.27 (68%)	$3.74

Full re-scrape monthly cost at the same cadence: $11.77. First month with incremental costs $1.24 / $2.35 / $4.01 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from tmsearch.uspto.gov?

The number of results depends on the search query and available records on tmsearch.uspto.gov. Use the maxResults parameter to control how many results are returned per run.

Does USPTO Trademark Search Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed records on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate USPTO Trademark Search Scraper with other apps?

Yes. USPTO Trademark Search Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use USPTO Trademark Search Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use USPTO Trademark Search Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape tmsearch.uspto.gov?

This actor extracts publicly available data from tmsearch.uspto.gov. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on tmsearch.uspto.gov. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with USPTO Trademark Search's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by USPTO Trademark Search or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

Search keywords

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