# EUIPO Trademark Search — TMview & eSearch (`nexgendata/euipo-esearch-trademarks`) Actor - **URL**: https://apify.com/nexgendata/euipo-esearch-trademarks.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business, AI - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $100.00 / 1,000 trademarks 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 ## EUIPO Trademark Search — TMview & eSearch Search the **European Union Intellectual Property Office (EUIPO)** trademark database and the broader **TMview** network (DE, FR, IT, ES, BX, NL, GB, and 35+ other EU/EEA registries) by mark name. Get clean, structured JSON for every match — application number, mark type, applicant, Nice classes, status and dates — ready to load into your brand-protection workflow. This actor uses the **TMview public search backend** at `tmdn.org` (`/tmview/*` is explicitly Allowed in TMview's robots.txt) and is rate-limited to two requests per second with a polite user agent. ### Buyer use cases - **Brand protection monitoring** — watch for newly filed marks that conflict with your portfolio across all EU offices in one query. - **Trademark clearance searches** — confirm a candidate brand name is free in EUIPO + national registries before filing. - **Competitor brand portfolio analysis** — pull every mark owned by a named applicant to see their IP footprint and product roadmap clues. - **M&A IP due diligence** — extract a target company's filed and registered marks (with Nice classes, status, expiration) into a single spreadsheet for the data room. SEO keywords: **EUIPO search**, **EU trademark API**, **TMview API**, **trademark database**, **brand protection**, **EUTM lookup**, **Nice classification search**, **trademark clearance**, **CTM search**. ### Input | Field | Type | Description | |-------|------|-------------| | `query` | string (required) | Mark name to search for (free text). | | `offices` | array of ISO codes | TM offices to search. `EM` = EUIPO, `DE` = Germany, `FR` = France, etc. Defaults to `["EM"]`. | | `niceClasses` | array of integers 1–45 | Filter by Nice class. Empty = all classes. | | `status` | enum | `Registered`, `Filed`, `Opposed`, `Refused`, `Expired`, or empty for all. | | `maxResults` | integer 1–1000 | Hard cap on trademarks returned. Defaults to 25. | ### Output Every dataset item is one trademark record with this shape: ```json { "application_number": "016905961", "office": "EM", "mark_name": "APPLE", "mark_type": "Word", "applicant_name": "Apple Inc.", "applicant_country": "US", "application_date": "2017-06-22", "registration_date": "2017-12-19", "status": "Registered", "nice_classes": [39, 42], "image_url": null, "source_url": "https://www.tmdn.org/tmview/get-detail?st13=EM500000016905961", "scraped_at": "2026-05-28T12:00:00Z" } ```` `image_url` is `null` for word marks and a TMview image URL for figurative, colour, 3D and other visual marks. `applicant_country` is the applicant nationality (ISO country code) — never a street address. ### What this actor does NOT collect This actor is built for legitimate brand-protection and competitive-intel workflows. It deliberately **excludes** the following fields even when the upstream registry exposes them: - Applicant email addresses - Applicant phone numbers - Applicant street / city / postcode (only the ISO country code is included) - Representative / agent contact information If you need the full registry record including correspondence address, use the EUIPO official portal directly. ### Compliance - Polite `User-Agent` identifies the bot, with `From:` and `X-Bot-Identity` headers. - Rate limited to **≤ 2 requests/second** to upstream services. - Honours `robots.txt` for TMview at runtime; halts and reports if the endpoint becomes disallowed. - All requests target the public TMview search backend; we do not access EUIPO `/eSearch/` (which is robots-disallowed). ### Sample Output (Sample dataset screenshot inserted post-launch.) # Actor input Schema ## `query` (type: `string`): Search by mark name (free text). ## `offices` (type: `array`): ISO codes of TM offices to search. EM=EUIPO, DE=Germany, FR=France, etc. ## `niceClasses` (type: `array`): Filter by Nice classification (1-45). Empty = all classes. ## `status` (type: `string`): Filter by status. Leave blank for all. ## `maxResults` (type: `integer`): Hard cap on trademarks returned. ## Actor input object example ```json { "query": "Apple", "offices": [ "EM" ], "niceClasses": [], "maxResults": 25 } ``` # 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": "Apple", "offices": [ "EM" ], "niceClasses": [], "status": "", "maxResults": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/euipo-esearch-trademarks").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": "Apple", "offices": ["EM"], "niceClasses": [], "status": "", "maxResults": 25, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/euipo-esearch-trademarks").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": "Apple", "offices": [ "EM" ], "niceClasses": [], "status": "", "maxResults": 25 }' | apify call nexgendata/euipo-esearch-trademarks --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/euipo-esearch-trademarks", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EUIPO Trademark Search — TMview & eSearch", "version": "0.0", "x-build-id": "fkifpo6TvwmJbyDAn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~euipo-esearch-trademarks/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-euipo-esearch-trademarks", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~euipo-esearch-trademarks/runs": { "post": { "operationId": "runs-sync-nexgendata-euipo-esearch-trademarks", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~euipo-esearch-trademarks/run-sync": { "post": { "operationId": "run-sync-nexgendata-euipo-esearch-trademarks", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Search by mark name (free text)." }, "offices": { "title": "Trademark Offices", "type": "array", "description": "ISO codes of TM offices to search. EM=EUIPO, DE=Germany, FR=France, etc.", "items": { "type": "string" } }, "niceClasses": { "title": "Nice Classes (optional)", "type": "array", "description": "Filter by Nice classification (1-45). Empty = all classes.", "items": { "type": "string" } }, "status": { "title": "Status Filter (optional)", "enum": [ "", "Registered", "Filed", "Opposed", "Refused", "Expired" ], "type": "string", "description": "Filter by status. Leave blank for all." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Hard cap on trademarks returned." } } }, "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 } } } } } } } } } } ```