# 🔍 ™️ Trademark Search — USPTO Database Lookup (`nexgendata/trademark-search`) Actor Search USPTO trademark database for registered & pending marks. Get filing status, owner data, classifications & history. Essential for brand clearance & IP due diligence. Pay per search. - **URL**: https://apify.com/nexgendata/trademark-search.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business, AI, Automation - **Stats:** 26 total users, 15 monthly users, 92.7% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## ™️ Trademark Search — USPTO Brand Clearance, Owner Lookup & Status Bulk USPTO trademark search by word mark, owner name, serial number, or registration number: returns mark text, owner, status, filing date, registration date, goods + services description, Nice classification, prosecution history, design code, and live + dead flag. A pay-per-result **alternative to** TrademarkVision, Corsearch, CompuMark Pro, and LegalZoom's trademark search tool — built for trademark attorneys running clearance searches, brand strategists checking name availability, IP-monitoring firms watching competitor filings, and startup founders verifying brand-name viability before incorporation. ### 🌐 The NexGenData Global IP & Trademark Suite One office is never enough for IP due diligence — search trademarks and patents across the US, EU, China, Japan, Korea, Hong Kong, and WIPO. Every actor below is part of the NexGenData Global IP & Trademark Suite, so a clearance, freedom-to-operate, or brand-protection workflow that starts in one office can extend to every office, worldwide. **Trademarks** - **USPTO Trademark Search (US)** — word-mark, owner & status lookup across the full USPTO TESS dataset. **← you are here** - **[EUIPO Trademark Search (EU)](https://apify.com/nexgendata/euipo-esearch-trademarks?fpr=2ayu9b)** — EUIPO + TMview network across 35+ EU/EEA registries. - **[Hong Kong Trademark Search (APAC)](https://apify.com/nexgendata/hk-trademark-search?fpr=2ayu9b)** — the Hong Kong IPD register by mark, class, owner or status. - **[Korea KIPO / KIPRIS Plus (KR)](https://apify.com/nexgendata/korea-kipo-kipris-plus-patents-trademarks?fpr=2ayu9b)** — Korean patents, trademarks & designs via the official KIPRIS Plus API. - **[Japan JPO / J-PlatPat (JP)](https://apify.com/nexgendata/japan-jpo-jplatpat-patents-trademarks?fpr=2ayu9b)** — Japanese trademarks, patents, utility models & designs from J-PlatPat. **Patents** - **[CNIPA China Patent Search (CN)](https://apify.com/nexgendata/cnipa-china-patent-search?fpr=2ayu9b)** — Chinese patents from the CNIPA database for IP & innovation tracking. - **[Japan JPO / J-PlatPat (JP)](https://apify.com/nexgendata/japan-jpo-jplatpat-patents-trademarks?fpr=2ayu9b)** — Japanese patents, utility models & designs from J-PlatPat. - **[Korea KIPO / KIPRIS Plus (KR)](https://apify.com/nexgendata/korea-kipo-kipris-plus-patents-trademarks?fpr=2ayu9b)** — Korean patents & utility models via the official KIPRIS Plus API. - **[WIPO PATENTSCOPE (Global)](https://apify.com/nexgendata/wipo-patentscope-search?fpr=2ayu9b)** — worldwide PCT & national patents across WIPO's global collection. - **[USPTO Patent Search (US)](https://apify.com/nexgendata/uspto-patent-search?fpr=2ayu9b)** — US patents with full claims text for prior-art & freedom-to-operate work. - **[Patents → Markdown for RAG (AI)](https://apify.com/nexgendata/patent-trademark-rag?fpr=2ayu9b)** — clean Markdown export of patents, ready to embed in a RAG / LLM pipeline. _Search every IP office, worldwide — one suite, pay-per-result, structured JSON._ ### Why Trademark Search Beats TrademarkVision, Corsearch, CompuMark & LegalZoom | Feature | NexGenData Trademark Search | TrademarkVision | Corsearch | CompuMark | LegalZoom | |---|---|---|---|---|---| | Cost | $1 per 1K searches, pay-per-event | $$$$ enterprise quote | $$$$ enterprise contract | $$$$ enterprise | $199-599 per single search | | USPTO TESS coverage | Yes — full TESS dataset | Yes | Yes | Yes | Single mark only | | Bulk word-mark search | Yes — up to 1k marks/run | Yes (plan-gated) | Yes (plan-gated) | Yes | No | | Owner / assignee lookup | Yes | Yes | Yes | Yes | No | | Nice classification filter | Yes — class 1-45 | Yes | Yes | Yes | Limited | | Prosecution history | Yes — full event timeline | Yes | Yes | Yes | No | | Live / dead status filter | Yes | Yes | Yes | Yes | Limited | | Bulk export | JSON / CSV / Excel | Plan-gated | Plan-gated | Plan-gated | No | | Auth | Apify token | Enterprise contract | Enterprise contract | Enterprise contract | One-time fee per search | | Monthly minimum | None | $$$$ | $$$$ | $$$$ | None (per-search fee) | Most trademark attorneys + brand teams pick this actor **instead of** LegalZoom's $199-per-search clearance fee because they're running dozens of searches per project — this actor is a **drop-in alternative** that turns a $5,000 clearance bill into $5, **cheaper than** Corsearch for screening + early-stage knockout searches, and **drop-in JSON** for downstream conflict-scoring models. ### What You Get Per Mark Each dataset item is a flat record: - `serial_number`, `registration_number` - `mark_text` — the literal text element of the mark - `mark_type` — Word / Design / Word+Design / Standard Character - `status_code`, `status_description` — full TESS status string - `live_dead` — `LIVE` / `DEAD` - `filing_date`, `registration_date`, `abandon_date` - `nice_classes[]` — international class numbers - `us_classes[]` — US classification - `goods_services` — full text of the description - `owner` — `{name, address, country, entity_type}` - `attorney` — listed attorney of record - `correspondent_address` - `prior_registrations[]` - `prosecution_history[]` — every event with `{date, code, description}` - `design_code[]` — for design marks - `disclaimers[]` - `tess_url` — direct link to USPTO TESS record ### Use Cases - **Trademark attorneys** — bulk knockout searches before formal clearance; saves 10-20 hours per clearance memo - **Brand strategists** — check 50 candidate names in 5 minutes during a naming workshop - **IP monitoring firms** — daily watch on competitor filings in a tracked Nice class - **Startup founders** — verify name availability before LLC formation or domain purchase - **M&A diligence teams** — pull a target's full TM portfolio in a single run - **Trademark watch services** — feed bulk results into a conflict-scoring model to prioritize attorney review ### Quick Start ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("nexgendata/trademark-search").call(run_input={ "queries": [ {"mark": "ACME WIDGETS", "niceClasses": [9, 35], "status": "LIVE"}, {"owner": "Acme Inc"} ] }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["mark_text"], item["status_code"], item["owner"]["name"]) ```` ### Pricing Pay-per-event: - **Actor Start**: small fixed charge per run (memory-scaled) - **Per result**: $1 per 1,000 marks returned No subscription, no minimum, no per-seat fee. ### 🔗 Related NexGenData Actors Part of the NexGenData **IP & Patent** suite — pair this Actor with: - [USPTO Patent Search Claims & Prior Art](https://apify.com/nexgendata/uspto-patent-search?fpr=2ayu9b) - [USPTO Patent Grants Tracker IP & Competitive Intelligence](https://apify.com/nexgendata/uspto-patent-grants?fpr=2ayu9b) - [USPTO Patent Grants Tracker Recent US Patent Filings](https://apify.com/nexgendata/uspto-patent-grants-tracker?fpr=2ayu9b) - [EUIPO Trademark Search TMview & eSearch](https://apify.com/nexgendata/euipo-esearch-trademarks?fpr=2ayu9b) - [CNIPA China Patent Search IP & Innovation Tracker](https://apify.com/nexgendata/cnipa-china-patent-search?fpr=2ayu9b) - [WIPO PATENTSCOPE Patent Search](https://apify.com/nexgendata/wipo-patentscope-search?fpr=2ayu9b) - [HK Trademark Search](https://apify.com/nexgendata/hk-trademark-search?fpr=2ayu9b) - [Patents & Trademarks (IP) MCP Patent Search for AI Agents](https://apify.com/nexgendata/patents-trademarks-ip-mcp-server?fpr=2ayu9b) ### FAQ **Is this the live USPTO TESS or a cached dataset?** Live. The actor queries TESS in real time so a filing from this morning shows up this morning. **Can I search design marks by design code?** Yes — pass `designCodes` in the input and the actor uses USPTO's design search. **Do you cover international trademarks?** Currently US-only (USPTO TESS). EUIPO + Madrid Protocol are on the roadmap. **Output formats?** JSON, CSV, Excel, and the Apify dataset API. **Is this legal?** Yes. USPTO TESS is a public-records system explicitly designed for third-party search. ### About NexGenData NexGenData publishes 260+ buyer-intent actors covering SEC filings, YC alumni, lead generation, competitive intelligence, stock fundamentals across 30+ exchanges, and more. All pay-per-result. Browse the full catalog at https://apify.com/nexgendata?fpr=2ayu9b *** ### How NexGenData Pricing Works Every NexGenData actor uses **pay-per-event** pricing — you only pay for results that actually land in your dataset. No monthly minimum, no seat fees, no surprise overage bills. - **Actor Start:** a single-event charge each time you spin the actor up (scaled to memory size) - **Result / item:** charged per item written to the default dataset - **No charge** for retries, internal proxy rotation, or failed sub-requests — those are absorbed by the platform ### Apify Platform Bonus New to Apify? Sign up with the NexGenData [referral link](https://www.apify.com/?fpr=2ayu9b) — you get free platform credits on signup (enough for several thousand free results) and you help fund the maintenance of this actor fleet. ### Integration Surface Every actor in the NexGenData catalog can be triggered from: - **Apify console** — point-and-click run - **Apify API** — REST + webhooks - **Apify Python / JS SDKs** — programmatic batch - **Zapier, Make.com, n8n** — official integrations - **MCP** — many actors are exposed as MCP tools for Claude / ChatGPT / Cursor agents - **Schedules** — built-in cron for daily / weekly / monthly runs - **Webhooks** — POST results to any HTTPS endpoint on dataset write ### Support NexGenData maintains 260+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get a response within 24 hours. Roadmap requests are welcome — high-demand features ship in the next version. Home: [thenextgennexus.com](https://thenextgennexus.com) Full catalog: [apify.com/nexgendata](https://apify.com/nexgendata?fpr=2ayu9b) ### 💰 Pricing Example This actor uses Pay-Per-Event pricing — you only pay for results. - **Typical run (small):** 100 results × $0.05 = **$5.00** - **Medium run:** 500 results × $0.05 = **$25.00** - **Large run (power user):** 2,000 results × $0.05 = **$100.00** Free Apify accounts get $5/mo in platform credit. A typical IP intelligence workflow at this scale typically exceeds the free credit — upgrade to a paid Apify plan for unrestricted use. ### 🔗 Related Actors Pair with these for a complete workflow: - [EUIPO Trademark Search — TMview & eSearch](https://apify.com/nexgendata/euipo-esearch-trademarks) — search EUIPO + TMview network across 35+ EU/EEA registries - [📋 USPTO Patent Search — Claims & Prior Art](https://apify.com/nexgendata/uspto-patent-search) — search the USPTO patent database with full-text + assignee filters - [WIPO PATENTSCOPE Patent Search](https://apify.com/nexgendata/wipo-patentscope-search) — search WIPO PATENTSCOPE international patent applications - [SEC EDGAR 8-K Material Events Tracker](https://apify.com/nexgendata/sec-edgar-8k-filings) — monitor SEC 8-K filings for IP-litigation + acquisition disclosures ### Related NexGenData actors Part of the **5. IP / Trademark / Patent Intelligence** workflow. Related NexGenData actors: - [USPTO Patent Search — Claims & Prior Art](https://apify.com/nexgendata/uspto-patent-search?fpr=2ayu9b) - [EUIPO Trademark Search — TMview & eSearch](https://apify.com/nexgendata/euipo-esearch-trademarks?fpr=2ayu9b) - [WIPO PATENTSCOPE Patent Search](https://apify.com/nexgendata/wipo-patentscope-search?fpr=2ayu9b) Browse the full [NexGenData storefront by workflow](https://thenextgennexus.com/actors-by-workflow/) or the [IP / Trademark / Patent Intelligence cluster guide](https://thenextgennexus.com/ip-trademark-patent-data-tools/). # Actor input Schema ## `query` (type: `string`): Trademark mark name (default) or US serial number (when searchType=number). ## `searchType` (type: `string`): name = search by mark name (TMView); number = lookup by US serial number (USPTO TSDR) ## `territories` (type: `array`): Two-letter office codes to scope the search. Empty/omit for global. Defaults to US. ## `maxResults` (type: `integer`): Maximum number of trademarks to return. ## Actor input object example ```json { "query": "Nike", "searchType": "name", "territories": [ "US" ], "maxResults": 20 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/trademark-search").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("nexgendata/trademark-search").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call nexgendata/trademark-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/trademark-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🔍 ™️ Trademark Search — USPTO Database Lookup", "description": "Search USPTO trademark database for registered & pending marks. Get filing status, owner data, classifications & history. Essential for brand clearance & IP due diligence. Pay per search.", "version": "0.0", "x-build-id": "S83bg5jLneyaW3ABj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~trademark-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-trademark-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~trademark-search/runs": { "post": { "operationId": "runs-sync-nexgendata-trademark-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~trademark-search/run-sync": { "post": { "operationId": "run-sync-nexgendata-trademark-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "query" ], "properties": { "query": { "title": "Search Query", "type": "string", "description": "Trademark mark name (default) or US serial number (when searchType=number).", "default": "Nike" }, "searchType": { "title": "Search Type", "enum": [ "name", "number" ], "type": "string", "description": "name = search by mark name (TMView); number = lookup by US serial number (USPTO TSDR)", "default": "name" }, "territories": { "title": "Territories", "type": "array", "description": "Two-letter office codes to scope the search. Empty/omit for global. Defaults to US.", "default": [ "US" ], "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of trademarks to return.", "default": 20 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```