# DPMA Scraper - German Trademarks & Patents (`jungle_synthesizer/dpma-trademark-patent-de-scraper`) Actor Scrape DPMAregister for German trademarks, patents, designs, utility models. Mark images, applicant data, opposition history. Brand protection, IP due-diligence, prior-art search. - **URL**: https://apify.com/jungle\_synthesizer/dpma-trademark-patent-de-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Business, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## DPMA Register Scraper — German Trademarks & Patents Scrapes [DPMAregister](https://register.dpma.de), the official public register of the German Patent and Trademark Office (Deutsches Patent- und Markenamt). Returns trademarks, patents, designs, and utility models with registration numbers, dates, applicant data, Nice classes, and mark image URLs. --- ### DPMA Scraper Features - Extracts German national (DE) and international (IR) trademark records from DPMAregister - Returns full INID-coded detail for DE trademarks — registration dates, applicant name, Nice classes, goods/services description, mark type, mark image URL - Searches by mark text, registration number, applicant name, or Nice/IPC class code - Covers all four register types: trademarks (Marken), patents, designs (Geschmacksmuster), utility models (Gebrauchsmuster) - Collects listing-level data for patents, designs, and utility models — application numbers, register type, status - No proxy required — DPMAregister is a German government public-access site --- ### Who Uses DPMA Data? - **IP attorneys and paralegals** — check prior art before filing, verify registration status, pull opposition history for client matters - **Brand protection teams** — monitor competitor trademark activity, identify conflicting marks across Nice classes - **M&A and due-diligence analysts** — enumerate IP assets held by a target company by searching applicant name - **Patent researchers** — gather patent application numbers for further analysis in Espacenet or the EPO database - **Startup founders** — verify trademark availability before brand registration, avoid expensive conflicts --- ### How It Works 1. Configure your search: pick a register type (trademark, patent, design, or utility model), a query mode (by text, number, applicant, or class), and enter your search term. 2. The scraper establishes a session with DPMAregister and submits your query to the expert search endpoint. 3. Results are parsed from the `dpma-trefferliste` table. DE trademarks get full detail — the scraper follows each canonical detail URL and extracts all INID-coded fields. IR trademarks and non-trademark registers return listing-level data. 4. Records are saved to the Apify dataset in clean JSON, one record per IP right. --- ### DPMA Scraper Input ```json { "registerType": "mark", "mode": "by_text", "query": "Mercedes-Benz", "includeImages": true, "maxItems": 10 } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `query` | string | — | Search term: mark text, registration number, applicant name, or class code. Required. | | `registerType` | string | `mark` | Register to search: `mark`, `patent`, `design`, or `utility_model` | | `mode` | string | `by_text` | Query mode: `by_text`, `by_registration_number`, `by_applicant_name`, or `by_class` | | `includeImages` | boolean | `true` | Capture mark image URLs for figurative trademarks | | `maxItems` | integer | `10` | Maximum number of records to return (1–10000) | | `proxyConfiguration` | object | off | Proxy settings — not needed for DPMA | #### Additional Input Examples Search by applicant name to enumerate a company's IP portfolio: ```json { "registerType": "mark", "mode": "by_applicant_name", "query": "Daimler AG", "maxItems": 100 } ``` Search patents by IPC class: ```json { "registerType": "patent", "mode": "by_class", "query": "H04L", "maxItems": 50 } ``` *** ### DPMA Scraper Output Fields DE trademark records come with full INID detail. IR trademarks, patents, designs, and utility models include listing-level fields. ```json { "registerType": "mark", "database": "DE", "registrationNumber": "55890", "applicationDate": "1908-06-04", "registrationDate": "1908-10-28", "expirationDate": "2028-06-30", "status": "eingetragen", "markText": "MERCEDES-BENZ", "markImageUrl": null, "markType": "Wortmarke", "niceClasses": "12", "goodsServicesDescription": "Kraftfahrzeuge, insbesondere Personenkraftwagen.", "applicantName": "Mercedes-Benz Group AG", "applicantAddress": null, "representativeName": null, "representativeAddress": null, "oppositionsCount": 0, "titleDe": null, "titleEn": null, "ipcClasses": null, "inventorNames": null, "publicationDate": null, "grantDate": null, "detailUrl": "https://register.dpma.de/DPMAregister/marke/register/55890/DE", "scrapedAt": "2026-05-09T20:14:01.383Z" } ``` | Field | Type | Description | |-------|------|-------------| | `registerType` | string | IP right type: `mark`, `patent`, `design`, `utility_model` | | `database` | string | Register source: `DE` (German national) or `IR` (international) | | `registrationNumber` | string | Registration or application number | | `applicationDate` | string | Date of application (YYYY-MM-DD) | | `registrationDate` | string | Date of registration (YYYY-MM-DD) | | `expirationDate` | string | Expiration date of protection (YYYY-MM-DD) | | `status` | string | Current status: registered, opposition, cancelled, lapsed | | `markText` | string | Text representation of the mark (word marks) | | `markImageUrl` | string | URL of mark image (figurative marks) | | `markType` | string | Mark type: Wortmarke, Bildmarke, kombinierte Marke, etc. | | `niceClasses` | string | Nice classification classes, comma-separated | | `goodsServicesDescription` | string | Goods and services description from the register | | `applicantName` | string | Name of the applicant or rights holder | | `applicantAddress` | string | Full address of the applicant | | `representativeName` | string | Patent attorney or representative name | | `representativeAddress` | string | Address of the representative | | `oppositionsCount` | number | Number of oppositions filed | | `titleDe` | string | Patent/utility model title in German | | `titleEn` | string | Patent/utility model title in English | | `ipcClasses` | string | IPC classification codes, comma-separated | | `inventorNames` | string | Inventor names, comma-separated | | `publicationDate` | string | Date of first publication (YYYY-MM-DD) | | `grantDate` | string | Date of patent grant (YYYY-MM-DD) | | `detailUrl` | string | URL to the DPMA register detail page | | `scrapedAt` | string | ISO timestamp when the record was scraped | *** ### 🔍 FAQ #### How do I scrape German trademark data from DPMAregister? DPMA Scraper handles the session management and search submission automatically. Set `registerType` to `mark`, choose a `mode`, enter your `query`, and run it. DE trademark records come back with full INID detail including applicant, classes, and status. #### How much does DPMA Scraper cost to run? DPMA Scraper costs $0.10 per run start plus $0.03 per record. A 10-record test run costs about $0.40. Bulk runs of 1,000 records run around $30 — reasonable for IP due-diligence work where the alternative is manual register lookups. #### What's the difference between DE and IR trademark records? DE marks are German national registrations with canonical detail URLs — DPMA Scraper fetches full detail for these. IR marks are international registrations designating Germany via the Madrid System. Their detail pages are session-bound, so DPMA Scraper returns listing-level data for IR marks: registration number, mark text, status. #### Can I search by Nice class or IPC code? Yes. Set `mode` to `by_class` and enter the class code in `query` — e.g., `"query": "35"` for Nice class 35 (advertising and business services), or `"query": "H04L"` for an IPC telecommunications subclass in a patent search. #### Does DPMA Scraper need proxies? DPMA Scraper doesn't need proxies. DPMAregister is a German government public-access service with no IP-based geo-restrictions. Proxy is off by default and can stay that way. *** ### Need More Features? Need patent detail pages, additional register fields, or bulk export support? [File an issue](https://console.apify.com/actors/9Z99Sq2qaY7yvhMUf/issues) or get in touch. ### Why Use DPMA Scraper? - **Authoritative source** — data comes directly from the official DPMA register, not a third-party aggregator that may lag behind - **Full trademark detail** — returns all INID-coded fields for DE marks, which is more than you get from most commercial IP databases at this price point - **No proxies, no setup friction** — runs against a public government endpoint, connects cleanly, and returns structured JSON # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `registerType` (type: `string`): Type of IP right to search ## `mode` (type: `string`): How to search the DPMA register ## `query` (type: `string`): Search term: mark text, registration number, applicant name, or class code ## `includeImages` (type: `boolean`): Capture mark image URLs for figurative marks ## `maxItems` (type: `integer`): Maximum number of records to return ## `proxyConfiguration` (type: `object`): Proxy settings (not required for DPMA) ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "registerType": "mark", "mode": "by_text", "query": "Mercedes-Benz", "includeImages": true, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "registerType": "mark", "mode": "by_text", "query": "Mercedes-Benz", "includeImages": true, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/dpma-trademark-patent-de-scraper").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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "registerType": "mark", "mode": "by_text", "query": "Mercedes-Benz", "includeImages": True, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/dpma-trademark-patent-de-scraper").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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "registerType": "mark", "mode": "by_text", "query": "Mercedes-Benz", "includeImages": true, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } }' | apify call jungle_synthesizer/dpma-trademark-patent-de-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/dpma-trademark-patent-de-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DPMA Scraper - German Trademarks & Patents", "description": "Scrape DPMAregister for German trademarks, patents, designs, utility models. Mark images, applicant data, opposition history. Brand protection, IP due-diligence, prior-art search.", "version": "1.0", "x-build-id": "LjWx0GR58UQRGGzX4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~dpma-trademark-patent-de-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-dpma-trademark-patent-de-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~dpma-trademark-patent-de-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-dpma-trademark-patent-de-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~dpma-trademark-patent-de-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-dpma-trademark-patent-de-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "registerType": { "title": "Register Type", "enum": [ "mark", "patent", "design", "utility_model" ], "type": "string", "description": "Type of IP right to search" }, "mode": { "title": "Query Mode", "enum": [ "by_text", "by_registration_number", "by_applicant_name", "by_class" ], "type": "string", "description": "How to search the DPMA register" }, "query": { "title": "Search Query", "type": "string", "description": "Search term: mark text, registration number, applicant name, or class code" }, "includeImages": { "title": "Include Mark Images", "type": "boolean", "description": "Capture mark image URLs for figurative marks" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of records to return", "default": 10 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy settings (not required for DPMA)" } } }, "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 } } } } } } } } } } ```