# Trademark Watch — EUIPO, WIPO & National Offices (TMview) (`jdepablos/trademark-watch-tmview`) Actor Watch trademark filings across EUIPO, WIPO and EU national offices via TMview: new applications matching your brand terms, with Nice classes, applicants, status and opposition deadlines. Built for IP professionals, founders and AI agents. - **URL**: https://apify.com/jdepablos/trademark-watch-tmview.md - **Developed by:** [Juan de Pablos](https://apify.com/jdepablos) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 1,000 term watches This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Global Trademark Watch — USPTO, EUIPO, WIPO & 70+ Offices (TMview) **Know when someone files a mark like yours — before the opposition window closes.** One call per watched term: new trademark filings across USPTO, EUIPO, WIPO and 70+ national offices worldwide (Japan, Korea, China, UK, Canada, Brazil, ...), with Nice classes, applicants, status and **opposition deadlines**, as clean JSON. Trademark watching is a paid professional service for a reason: miss the ~3-month opposition window and your only option is expensive litigation. This Actor gives you the raw watch feed for the price of an API call. ### What you get per watched term ```json { "query": "nike", "offices": ["EM", "ES"], "totalInSource": 11, "returned": 11, "marks": [ { "st13": "EM500000019334355", "name": "NIKE", "office": "EM", "applicationNumber": "019334355", "status": "Filed", "type": "Word", "niceClasses": [19], "applicants": ["HarbisonWalker International, Inc."], "applicationDate": "2026-03-20", "oppositionPeriodStart": "2026-05-14", "oppositionPeriodEnd": "2026-08-14", "protectedIn": ["DE", "FR", "ES", "IT", "..."], "url": "https://www.tmdn.org/tmview/#/tmview/detail/EM500000019334355" } ] } ```` ### Why this beats checking manually - **Global in one call**: USPTO (`US`), EUIPO (`EM`), WIPO (`WO`), UK, Japan, Korea, China, Canada, Brazil and 70+ offices — the same search on TMview's official aggregated data. - **Opposition deadlines included**: `oppositionPeriodEnd` is the date that matters. Sort by it, alert on it. - **Built for recurring watch**: combine `statuses: ["Filed"]` + `filedSince` + a daily/weekly schedule and you only see what's new. - **Nice-class filtering**: watch class 25 (apparel) or 9/42 (software) instead of drowning in noise. ### Use cases - **Founders / brand owners**: watch your brand and close variants; act inside the opposition window instead of paying for litigation later. - **IP law firms & agents**: bulk watchlists (25 terms per run) as structured data for your docketing system. - **Agencies**: pre-filing clearance quick-check — what exists in this class across offices? - **AI agents**: "is anyone filing marks similar to X?" — one tool call, structured answer. ### Input | Field | Description | |---|---| | `query` / `terms` | Term(s) to watch — up to 25 per run with per-term overrides | | `offices` | TMview codes: `["US", "EM", "WO", "JP", "GB", ...]` (default `["EM", "US", "WO"]`) | | `statuses` | `["Filed"]` for the watch use-case; empty for all | | `niceClasses` | e.g. `[25]` or `[9, 42]` | | `filedSince` | YYYY-MM-DD — only applications on/after this date | | `maxResultsPerTerm` | Cap per term (default 100) | ### Use with AI agents (MCP) This Actor is exposed as a tool on the [Apify MCP Server](https://mcp.apify.com): ```json { "mcpServers": { "trademark-watch": { "url": "https://mcp.apify.com?tools=jdepablos/trademark-watch-tmview", "headers": { "Authorization": "Bearer " } } } } ``` ### Pricing Pay per event: **one flat fee per watched term scanned** — all offices, all matches, deadlines included. Failed terms are never charged. ### FAQ **Is this legal advice?** No. It is structured public data from the official TMview aggregator. Opposition decisions belong with your IP counsel — this makes sure they hear about conflicts in time. **Does it do similarity/fuzzy matching?** v0.1 matches the term as TMview's search does (contains-style). Watch variants by adding them as separate terms ("nike", "nyke", "naik"). **How fresh is the data?** TMview is the offices' own aggregation service, updated continuously. Run on a schedule with `filedSince` for a rolling watch. ### More data tools by this developer - [eBay Sold Price Appraiser — real market value from confirmed sales](https://apify.com/jdepablos/ebay-sold-price-appraiser) - [Second-hand Deal Scanner ES — Vinted/Wallapop/Milanuncios deals vs eBay sold](https://apify.com/jdepablos/second-hand-deal-scanner-es) - [Spanish Company Feed (BORME) — daily registry acts as JSON](https://apify.com/jdepablos/borme-company-feed) - [Spain Public Auctions (BOE) — judicial auctions with market comparison](https://apify.com/jdepablos/spain-boe-auctions) # Actor input Schema ## `query` (type: `string`): Trademark text to search for, e.g. your brand name. For multiple terms use 'terms'. ## `terms` (type: `array`): Up to 25 terms per run. Each entry: {"query": "..."} plus any per-term overrides (offices, niceClasses, ...). ## `offices` (type: `array`): TMview office codes. EM = EUIPO, US = USPTO, WO = WIPO, GB, JP, KR, CN, CA, MX, BR, ES, FR, DE, IT and 70+ more. ## `statuses` (type: `array`): e.g. \["Filed"] for new applications only (the watch use-case), \["Registered"] for granted marks. Empty = all. ## `niceClasses` (type: `array`): Restrict to Nice classification classes, e.g. \[25] apparel, \[9, 42] software. Empty = all. ## `filedSince` (type: `string`): YYYY-MM-DD — only return marks applied for on/after this date. Combine with a schedule for a rolling watch. ## `maxResultsPerTerm` (type: `integer`): Cap per watched term. ## Actor input object example ```json { "query": "acme", "offices": [ "EM", "US", "WO" ], "statuses": [ "Filed" ], "maxResultsPerTerm": 100 } ``` # 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 = { "query": "acme", "offices": [ "EM", "US", "WO" ], "statuses": [ "Filed" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jdepablos/trademark-watch-tmview").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 = { "query": "acme", "offices": [ "EM", "US", "WO", ], "statuses": ["Filed"], } # Run the Actor and wait for it to finish run = client.actor("jdepablos/trademark-watch-tmview").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 '{ "query": "acme", "offices": [ "EM", "US", "WO" ], "statuses": [ "Filed" ] }' | apify call jdepablos/trademark-watch-tmview --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jdepablos/trademark-watch-tmview", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trademark Watch — EUIPO, WIPO & National Offices (TMview)", "description": "Watch trademark filings across EUIPO, WIPO and EU national offices via TMview: new applications matching your brand terms, with Nice classes, applicants, status and opposition deadlines. Built for IP professionals, founders and AI agents.", "version": "0.2", "x-build-id": "NGLNTnz0vKVg3fq1M" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jdepablos~trademark-watch-tmview/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jdepablos-trademark-watch-tmview", "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/jdepablos~trademark-watch-tmview/runs": { "post": { "operationId": "runs-sync-jdepablos-trademark-watch-tmview", "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/jdepablos~trademark-watch-tmview/run-sync": { "post": { "operationId": "run-sync-jdepablos-trademark-watch-tmview", "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", "properties": { "query": { "title": "Brand term to watch", "type": "string", "description": "Trademark text to search for, e.g. your brand name. For multiple terms use 'terms'." }, "terms": { "title": "Watchlist (optional)", "type": "array", "description": "Up to 25 terms per run. Each entry: {\"query\": \"...\"} plus any per-term overrides (offices, niceClasses, ...)." }, "offices": { "title": "IP offices", "type": "array", "description": "TMview office codes. EM = EUIPO, US = USPTO, WO = WIPO, GB, JP, KR, CN, CA, MX, BR, ES, FR, DE, IT and 70+ more.", "default": [ "EM", "US", "WO" ] }, "statuses": { "title": "Status filter", "type": "array", "description": "e.g. [\"Filed\"] for new applications only (the watch use-case), [\"Registered\"] for granted marks. Empty = all.", "items": { "type": "string", "enum": [ "Filed", "Registered", "Ended", "Expired" ], "enumTitles": [ "Filed (application pending)", "Registered", "Ended", "Expired" ] } }, "niceClasses": { "title": "Nice classes", "type": "array", "description": "Restrict to Nice classification classes, e.g. [25] apparel, [9, 42] software. Empty = all." }, "filedSince": { "title": "Filed since", "type": "string", "description": "YYYY-MM-DD — only return marks applied for on/after this date. Combine with a schedule for a rolling watch." }, "maxResultsPerTerm": { "title": "Max marks per term", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Cap per watched term.", "default": 100 } } }, "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 } } } } } } } } } } ```