USPTO Trademark Scraper - Status, Owners & New Filings

What does USPTO Trademark Scraper do?

USPTO Trademark Scraper extracts US trademark applications and registrations from the USPTO trademark register (the index behind tmsearch.uspto.gov, 13.3 million filings) and turns a brand name, owner, goods description, class or serial number into structured rows: one trademark with its status, dates, classes, goods & services, owner and attorney. Built for brand-clearance and print-on-demand checks, IP law firms and brand-protection teams.

USPTO trademark search API · TESS alternative · TSDR status lookup · trademark monitoring

• Search the way USPTO does: wordmark (contains or exact), sounds-like (phonetic), owner name, goods & services text or any text, filtered by live / pending / registered / dead status, Nice class and filing date
• Bulk in one run: 25 phrases in 4 seconds, 14,397 records of one search in 4 minutes (measured on the platform)
• Exact lookups: serial numbers, registration numbers or TSDR links, 100 per request
• Owner and attorney on every row: owner name, entity type, address, attorney of record; add the TSDR record for attorney and correspondent e-mail, prosecution history, assignments and the renewal window
• Monitor mode: a scheduled run returns only new filings and marks whose USPTO status changed
• No login, cookies or USPTO API key
• Export anywhere: JSON, CSV, Excel, XML; schedules, webhooks, Make, Zapier, n8n, Google Sheets, API and MCP

What data can you get from USPTO trademarks?

🔢 Serial number serialNumber	📜 Registration number	™️ Wordmark
🔊 Pseudo mark (phonetic spelling)	🚦 Status: LIVE / DEAD + statusCategory	📝 USPTO status code and description
📅 Filing date	📅 Registration date	📅 Published for opposition, abandoned, cancelled
🏷️ Nice classes internationalClasses	🇺🇸 US classes	📦 Goods & services text
🏢 Owner name + entity type	📍 Owner address, city, state	🌐 Owner citizenship / organized in
⚖️ Attorney of record	📧 Attorney + correspondent e-mail (TSDR)	🗂️ Docket number (TSDR)
🖼️ Mark image URL	🎨 Design codes + descriptions	✍️ Disclaimer, description, transliteration
📚 Prosecution history (TSDR)	🔁 Assignments + TTAB cases (TSDR)	⏰ Renewal window + grace deadline (TSDR)
🔗 TSDR and Trademark Search links	🎯 Similarity score to your phrase	🆕 Change type in monitor mode

How to scrape USPTO trademarks with USPTO Trademark Scraper

1. Create a free Apify account (it comes with monthly free credit).
2. Open USPTO Trademark Scraper and go to the Input tab.
3. Type brand names or phrases into Brand names or phrases, or paste serial numbers into Serial or registration numbers.
4. Pick a Status, add Nice classes or a filing-date window if you need them.
5. Click Start and watch the trademarks arrive in the Output tab.
6. Export the USPTO trademark data as JSON, CSV or Excel, or read it through the API.

⬇️ Input

Parameter	Type	Description
🔍 What to scrape
searchTerms	array	Words or phrases, one search each, e.g. "star wars". USPTO field tags work too: "WM:coffee AND IC:030". Prefill ["star wars"].
searchField	select	wordmark (contains the phrase, default), wordmarkExact, soundsLike (phonetic), owner, goodsAndServices, anyText.
serialNumbers	array	8-digit serials, registration numbers (2239077, RN 2239077) or TSDR / Trademark Search URLs. Filters do not apply.
🎯 Filters (sent to USPTO)
statusFilter	select	all (empty), live, pending, registered, dead. Prefill live.
niceClasses	array	Nice classes 1-45, A, B or 200, e.g. "25". Any listed class matches.
filedAfter / filedBefore	date	Filing-date window, absolute (2026-09-01) or relative (30 days).
sortBy	select	relevance (default), newest, oldest filing first.
✂️ Refine results
excludeKeywords	array	Drop marks whose wordmark contains any of these words.
withAttorneyOnly	boolean	Keep only filings that name an attorney. Default false.
➕ Extra data
includeDetails	boolean	Add the TSDR case record (e-mails, history, assignments, renewal window). Default false.
🔁 Monitoring
monitorMode	boolean	Only marks not delivered before, plus marks whose status changed. Default false.
monitorStoreName	string	Named store that remembers each watch. Default uspto-trademark-monitor.
📦 Output
maxResultsPerSearch	integer	Most trademarks per search term. Default 100, prefill 10, 0 = every match.
maxResults	integer	Most trademarks for the run. Default 1,000, prefill 50, 0 = no limit.
compact	boolean	Core fields only, for AI agents and spreadsheets. Default false.
⚙️ Advanced
proxyConfiguration	object	Default Apify proxy (the run starts direct and moves to a fresh proxy IP when USPTO refuses one).
maxConcurrency	integer	Requests in flight, 1-10. Default 4.

Input JSON

{
  "searchTerms": ["star wars", "just do it", "mama bear"],
  "searchField": "wordmark",
  "statusFilter": "live",
  "niceClasses": ["25"],
  "maxResultsPerSearch": 20
}

Check a list of phrases before you print them

Paste up to 1,000 phrases into searchTerms, set statusFilter to live and niceClasses to the classes you sell in (25 for apparel). Every phrase is its own search; matchCountForQuery on each row says how many marks USPTO found for it, and a phrase with no live mark simply returns no rows (nothing is charged for it). similarityScore (0-100) tells an exact STAR WARS (100) from STAR WARS RESISTANCE. Set maxResultsPerSearch to 1 for one best match per phrase, or raise it to see every conflicting mark.

Use "contains", "exact" or "sounds like" on purpose

wordmark returns marks that contain your phrase ("mama bear" finds MAMA BEAR BY DEARFOAMS), plus the foreign equivalents USPTO indexes with them ("tea" also finds OCHA and TÉ DELUXE; a low similarityScore marks them). USPTO's index ignores words like "not" and "be", so for a phrase containing one the actor keeps only marks that really contain it ("not today" returned 9 marks, not the 185 TODAY marks). wordmarkExact returns only the exact wordmark. soundsLike uses USPTO's phonetic copy of each mark: "lululemon" also returns LULULUMIN and LALALOOM.

Watch new filings with a date window and monitor mode

For a weekly watch, set filedAfter to "14 days", turn on monitorMode and give the watch its own monitorStoreName. The first run delivers every match; later runs read only records USPTO reloaded since the previous run and deliver new marks plus status changes (changeType: new or statusChanged, with previousStatusCode).

⬆️ Output

One row per USPTO trademark (a real row from the 25-phrase class-25 run, shortened):

{
  "searchTerm": "just do it",
  "serialNumber": "86444421",
  "registrationNumber": "4764071",
  "wordmark": "JUST DO IT",
  "statusCategory": "REGISTERED",
  "statusDescription": "REGISTERED AND RENEWED",
  "filingDate": "2014-11-04",
  "registrationDate": "2015-06-30",
  "internationalClasses": ["018", "025"],
  "goodsAndServices": ["IC 018: All purpose sport bags; Backpacks.", "IC 025: Footwear; Headbands; ..."],
  "ownerName": "Nike, Inc.",
  "ownerEntity": "CORPORATION",
  "ownerAddress": "One Bowerman Drive, Beaverton, OREGON 970056453, UNITED STATES",
  "attorney": "Jennifer Martin Reynolds",
  "markImageUrl": "https://tmcms-docs.uspto.gov/cases/86444421/mark/large.png",
  "tsdrUrl": "https://tsdr.uspto.gov/#caseNumber=86444421&caseSearchType=US_APPLICATION&caseType=DEFAULT&searchType=statusSearch",
  "similarityScore": 100,
  "matchCountForQuery": 4
}

With includeDetails on, the same row also carries the TSDR record (a real row from the details run):

{
  "serialNumber": "50081566",
  "wordmark": "COFFEE RUSH",
  "attorneyEmail": "docketing@khpatent.com",
  "correspondentEmail": "docketing@khpatent.com",
  "correspondentAddress": "Owen W. Dukelow, Kolisch Hartwell, P.C., 900 SW 5th Ave., Ste. 2300, Portland, Oregon 97204, United States",
  "docketNumber": "YST401",
  "tm5Status": "LIVE/APPLICATION/Awaiting Examination",
  "prosecutionHistory": [{ "date": "2026-09-04", "description": "NEW APPLICATION ENTERED" }],
  "detailsStatus": "ok"
}

USPTO trademark fields

Fill measured on a live run of 14,397 records ("coffee" in class 30, every status) and, for TSDR fields, a 150-record details run of new coffee filings.

Field	Meaning	Filled
serialNumber, wordmark, status, statusCategory, statusDescription	Identity and current USPTO status	100% (wordmark 99.9%: design-only marks have none)
filingDate / registrationDate	Filed / registered	99.7% / 50.9% (registered marks)
internationalClasses, usClasses, goodsAndServices	Classes and goods & services as filed	100%
ownerName, ownerEntity, ownerAddress, ownerCitizenship	Owner of record	100%
attorney	Attorney of record	64.3%
markImageUrl	Mark drawing (none for pre-2003 typed drawings)	93.1%
disclaimer, designCodes, markDescription	Mark details	73.8% / 38.3% / 35.8%
firstUseAnyDate, firstUseCommerceDate	First use dates	64.8%
correspondentEmail, correspondentAddress (TSDR)	Who receives USPTO mail	100%
attorneyEmail (TSDR)	Attorney's e-mail	48.7% (= rows with an attorney)
prosecutionHistory (TSDR)	Every docket event, with document links	100%
maintenanceWindowOpens, maintenanceDueBy, maintenanceGraceDeadline (TSDR)	Next Section 8/9 filing window	registered marks only

How can I use USPTO trademark data?

• 👕 Print-on-demand and Merch sellers: check slogans against live marks in class 25 before listing.
• ⚖️ IP law firms: pull new filings with the attorney and correspondent e-mail to offer prosecution, opposition or renewal work.
• 🛡️ Brand-protection teams: watch for new applications that contain or sound like your brand.
• 🏢 Competitive intelligence: map a competitor's portfolio by owner name, classes and filing dates.
• 🔁 Renewal and docketing services: find registrations whose Section 8/9 window opens soon.
• 🤖 Legal-tech and AI agents: feed structured USPTO records into clearance tools and LLM pipelines.

How much does it cost to scrape USPTO trademarks?

USPTO Trademark Scraper is pay-per-result: $2.80 per 1,000 USPTO trademarks, no start fee. The TSDR details add-on costs $1.90 per 1,000 trademarks that receive them. You only pay for trademarks written to your dataset.

Trademarks	Records only	With TSDR details
100	$0.28	$0.47
1,000	$2.80	$4.70
10,000	$28.00	$47.00

Apify platform usage is included in the price. Measured on the platform: 10 trademarks in 3 seconds, 108 trademarks for 25 phrases in 4 seconds, 150 trademarks with TSDR details in 74 seconds, all on 256 MB with a memory peak under 85 MB.

USPTO trademarks in your tools: integrations, API, scheduling & MCP

• Schedule it: a daily or weekly Apify schedule with monitorMode turns a search into a new-filings feed.
• Webhooks: get a call when the run finishes and pull the new rows into your CRM or docketing system.
• Make, Zapier, n8n, Google Sheets, Slack: send USPTO trademarks wherever your team works.
• API: run it from code with Python or JavaScript; rival input names such as terms + classes are accepted too.
• MCP: connect AI assistants through the Apify MCP server and ask for "live class 25 marks containing 'mama bear'".

More scrapers by TopApi

• Similarweb Scraper - use it when you need the traffic behind a brand's website.
• Instagram Contact Scraper - use it to reach a brand owner through its Instagram account.
• Google Maps Reviews Scraper - use it to watch what customers say about a brand's locations.
• Facebook Page Posts Scraper - use it to follow a brand's own posts.
• X Profile Scraper - use it to check whether a brand name is taken on X.
• Google Geocoding Scraper - use it to put owner addresses on a map.

All TopApi actors: apify.com/topapi.

Limits & empty runs

• Source: the USPTO trademark search index; it is reloaded daily, and new applications usually appear one to two days after filing.
• Rate limit: USPTO allows each IP about 100-150 requests in 5 minutes. A search page carries up to 500 trademarks, so searches rarely reach it; TSDR details are one request each, and a large details run moves to fresh Apify proxy IPs (measured: 150 details, one refusal, finished on the proxy).
• Depth: the index pages any search to the end; 14,397 of 14,397 records of one search were delivered in a test run.
• TSDR details are slower (1-4 seconds each); a TSDR record that does not answer leaves the row without details and the add-on is not charged.
• Empty run: no matching marks, or every match already delivered in monitor mode. Nothing is charged; RUN_SUMMARY in the key-value store lists the USPTO count per search.

FAQ

How many trademarks can USPTO Trademark Scraper return?

Every match of a search: set maxResultsPerSearch and maxResults to 0. A test run returned all 14,397 trademarks USPTO counts for "coffee" in class 30.

Can USPTO Trademark Scraper check if a brand name is available?

It returns the live and dead US marks that contain, match or sound like your name in the classes you choose. Whether a name is available is a legal judgment; use the rows as research.

Can I monitor new USPTO trademark filings with USPTO Trademark Scraper?

Yes. Turn on monitorMode, add a filedAfter window and schedule the run. Each run delivers only new marks and status changes.

Does USPTO Trademark Scraper give the attorney's e-mail?

Yes, with includeDetails: attorneyEmail and correspondentEmail come from the public TSDR case record, with the correspondent's postal address and docket number.

Can I look up trademarks by serial or registration number with USPTO Trademark Scraper?

Yes. Paste serial numbers, registration numbers or TSDR links into serialNumbers; 100 numbers go to USPTO in one request, and unknown numbers are listed in RUN_SUMMARY.

Do I need a USPTO account or API key for USPTO Trademark Scraper?

No. It reads the same public search index and TSDR records as USPTO's Trademark Search website, with no login, cookies or key.

Can I use USPTO Trademark Scraper with the Apify API or MCP?

Yes. Start runs from the API in any language and read the dataset, or call it from an AI assistant through the Apify MCP server.

Why did my USPTO Trademark Scraper run return no trademarks?

USPTO found no mark for that phrase, status and class, or monitor mode had already delivered every match. Check matchCountForQuery and RUN_SUMMARY; nothing is charged for an empty search.

Is USPTO Trademark Scraper affiliated with the USPTO, and is it legal advice?

No. It is an independent tool that reads public USPTO records, and its output is not legal advice.

Your feedback

We keep improving USPTO Trademark Scraper. Found a bug or missing a field? Open an issue on the Issues tab.