# EUIPO Trademarks Scraper: 100M+ EU/Global Trademarks via TMview (`dltik/euipo-trademarks-scraper`) Actor Search 100M+ trademarks from EUIPO + 70 IP offices (USPTO, INPI, DPMA, WIPO Madrid). Filter by Nice class, status, office, date. No API key. $0.01/result. - **URL**: https://apify.com/dltik/euipo-trademarks-scraper.md - **Developed by:** [Walid](https://apify.com/dltik) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start 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 Trademarks Scraper — 100M+ EU & Global Trademarks (TMview) ⭐ **Bookmark this actor → [apify.com/dltik/euipo-trademarks-scraper](https://apify.com/dltik/euipo-trademarks-scraper)** — Apify ranks by bookmarks, so it directly drives the visibility of this scraper. **One click. No signup beyond your existing Apify account.** > Scrape **100M+ trademarks from EUIPO and 70+ national IP offices** (USPTO, INPI France, DPMA Germany, WIPO Madrid, JPO Japan, UKIPO, CNIPA China and more) via the **official TMview backend** (`tmdn.org`) operated by the EU Intellectual Property Office. Filter by Nice class, status, office, application date, mark type. **No API key, no OAuth, no monthly quota — $0.01 per trademark, the disruptive sweet spot vs $0.10 elsewhere.** ### ✨ What makes this EUIPO trademarks scraper different | Feature | This scraper | Other EUIPO scrapers | |---|:---:|:---:| | Price per result | **$0.01** | $0.05 - $0.10 | | Coverage (offices) | **70+ IP offices via TMview** | EUIPO-only | | Nice classification (multi-class) | ✅ array | partial | | Mark image URL | ✅ | rare | | Territories protected (Madrid/EU designations) | ✅ array | ❌ | | Application + registration + opposition + expiration dates | ✅ all four | partial | | TMview deep-link per record | ✅ | ❌ | | No OAuth / no API key | ✅ | varies | | Success rate (live 30d) | **100%** | varies | ### What can this EUIPO trademark scraper do? - 🇪🇺 **100M+ live trademarks** indexed by the EU IP Office's TMview (every active EUIPO trademark + 70+ national IP offices including USPTO, INPI, DPMA, WIPO Madrid) - 🔎 **Multi-criteria search** — name, Nice class, status, office, mark type, application date range - 🏷️ **Full Nice classification** — every record returns its complete list of Nice classes (1-45) as a sortable array - 🌍 **Territory coverage** — for international/Madrid marks, lists every designated territory (EU member states, etc.) - 🖼️ **Mark image URL** — direct link to the figurative or combined mark image on TMview - 📅 **Complete lifecycle dates** — application, registration, opposition period, expiration - 🚀 **HTTP-only, no API key** — TMview is a free public service from the EUIPO (Apify datacenter proxy is enabled by default to avoid edge IP filtering) ### What data can you extract per trademark? | Field | Description | |---|---| | `st13` | TMview unique global ID (office code + sequential ID) | | `application_number` | Office-level application number | | `registration_number` | Office-level registration number (if registered) | | `mark_name` | Verbal element of the mark | | `mark_type` | `Word`, `Figurative`, `Combined`, `3-D`, `Sound`, `Colour`, `Hologram`, `Motion` | | `office_code` | Two-letter IP office (`EM` = EUIPO, `FR` = INPI, `DE` = DPMA, `US` = USPTO, `WO` = WIPO, ...) | | `status` | `Registered`, `Filed`, `Application published`, `Application opposed`, `Application refused`, `Expired` | | `application_date` | YYYY-MM-DD | | `registration_date` | YYYY-MM-DD | | `expiration_date` | YYYY-MM-DD | | `opposition_period_start` | YYYY-MM-DD | | `opposition_period_end` | YYYY-MM-DD | | `opposition_deadline` | YYYY-MM-DD | | `nice_classes` | Array of Nice class numbers (`[9, 38, 41, 42]`) | | `applicant_name` | Primary applicant (first in list) | | `applicant_names` | Full list of applicants | | `territories_protected` | Country codes where the mark is enforced (Madrid + EU) | | `mark_image_url` | TMview-hosted image URL (figurative/combined marks only) | | `tmview_url` | Deep link to the public TMview detail page | | `office_record_url` | Deep link to the originating IP office record | | `scraped_at` | ISO-8601 UTC timestamp | ### How to scrape EUIPO trademarks in 5 steps 1. **[Create a free Apify account](https://apify.com/sign-up)** — no credit card required 2. **Open [EUIPO Trademarks Scraper](https://apify.com/dltik/euipo-trademarks-scraper)** on Apify Store 3. **Enter `query`** — brand name or keyword (`apple`, `louis vuitton`, `tesla`) 4. **Optionally filter** — `offices=['EM']` for EUIPO only, `niceClasses=[9, 42]` for software/IT, `statuses=['Registered']` 5. **Click Start** — clean JSON in seconds, exportable to CSV / JSON / Excel from the Apify dataset UI ### How much does it cost to scrape EUIPO trademarks? **PAY_PER_EVENT — $0.01 per trademark result** ($10 per 1,000 results). Failed/empty runs are not charged. **10x cheaper than competing EUIPO scrapers** on the Apify Store. | Run size | Trademarks | Apify cost | Time | |---|---|---|---| | Quick test | 30 | $0.30 | ~5s | | Standard | 300 | $3.00 | ~30s | | Deep | 1,000 | $10.00 | ~2min | | Massive | 5,000 | $50.00 | ~12min | ### Input parameters | Parameter | Type | Default | Description | |---|---|---|---| | `query` | string | — | Brand name / keyword search (required) | | `offices` | string[] | `[]` (all) | Office codes: `EM`, `FR`, `DE`, `US`, `WO`, `JP`, `UK`, ... | | `statuses` | string[] | `[]` (all) | `Registered`, `Filed`, `Expired`, `Application published`, ... | | `niceClasses` | int[] | `[]` (all) | Nice class numbers `1`-`45` | | `tmTypes` | string[] | `[]` (all) | `Word`, `Figurative`, `Combined`, `3-D`, `Sound`, `Colour` | | `applicationDateFrom` | string | — | YYYY-MM-DD | | `applicationDateTo` | string | — | YYYY-MM-DD | | `pageSize` | integer | 30 | TMview page size (1-200) | | `maxResults` | integer | 30 | 1-5000 | | `proxyConfig` | object | datacenter | Apify datacenter proxy enabled by default (TMview blocks bare cloud IPs) | ### Output example ```json { "st13": "EM500000000000753", "application_number": "000000753", "registration_number": "000000753", "mark_name": "APPLE", "mark_type": "Word", "office_code": "EM", "status": "Registered", "application_date": "1996-04-01", "registration_date": "1999-02-03", "expiration_date": "2036-04-01", "opposition_period_start": "1998-07-27", "opposition_period_end": "1998-10-26", "opposition_deadline": "1998-10-26", "nice_classes": [9, 16, 38, 41, 42], "applicant_name": "Apple Inc.", "applicant_names": ["Apple Inc."], "territories_protected": ["DE", "FR", "ES", "IT", "BE", "NL", "AT", "PL", "PT", "FI", "SE", "IE", "EM"], "mark_image_url": null, "tmview_url": "https://www.tmdn.org/tmview/#/tmview/detail/EM500000000000753", "office_record_url": "https://www.tmdn.org/EM500000000000753", "scraped_at": "2026-06-20T12:32:01Z" } ```` ### Use cases — EUIPO trademark watch & brand monitoring - 🎯 **Trademark watch services** — daily diff of newly-filed marks matching a watchlist of brand names or visual classes - ⚖️ **IP attorney prior-art search** — pull every trademark named `X` filed since 1990 across EU + national offices in seconds, ranked by Nice class - 🛡️ **Brand abuse monitoring** — detect lookalike applications (e.g. `PuMA`, `PUMAR`, `PUUMA`) in your industry's Nice classes before they register - 📊 **IP analytics dashboards** — aggregate `application_date × office × Nice class` to track filing trends per industry vertical - 🚨 **Opposition deadline alerts** — surface every mark whose `opposition_period_end` is within the next 60 days to file a timely opposition - 🧠 **AI-agent IP wedge** — feed structured trademark data into a Claude / GPT agent for natural-language IP research ### Use the EUIPO scraper via API **Python:** ```python import requests run = requests.post( "https://api.apify.com/v2/acts/dltik~euipo-trademarks-scraper/run-sync-get-dataset-items", headers={"Authorization": "Bearer YOUR_APIFY_TOKEN", "Content-Type": "application/json"}, json={ "query": "apple", "offices": ["EM", "FR"], "statuses": ["Registered"], "niceClasses": [9, 42], "maxResults": 50 } ).json() print(f"Scraped {len(run)} trademarks") ``` **curl:** ```bash curl -X POST "https://api.apify.com/v2/acts/dltik~euipo-trademarks-scraper/run-sync-get-dataset-items" \ -H "Authorization: Bearer YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"query":"tesla","offices":["EM"],"niceClasses":[12],"maxResults":100}' ``` ### FAQ **Is this an official EUIPO API?** TMview (`tmdn.org`) is the official EU Intellectual Property Office trademark search backend, aggregating data from EUIPO + 70 national IP offices. This scraper hits the same public JSON endpoint the official TMview web UI calls. No reverse engineering of HTML, no anti-bot circumvention. **What's the difference vs the `nexgendata/euipo-esearch-trademarks` actor?** Three things: (1) **10x cheaper** — $0.01/result vs $0.10. (2) **70+ offices** vs EUIPO-only. (3) **Nice class arrays + territory designations + mark image URL** by default, no extra steps. **How fresh is the trademark data?** TMview syncs from each national IP office on weekly-to-monthly cadence. EUIPO marks are usually within 24h. Smaller offices (e.g. some Nordic + smaller Asian offices) may lag 2-4 weeks for very recent (<30d) filings. **Does it return goods & services descriptions?** The search endpoint returns Nice classes (the numeric goods/services categories, 1-45) for every mark. Full per-class descriptive text is per-office and not exposed by the TMview search endpoint — request it once the application\_number is known via the originating office's own scraper (e.g. an EUIPO eSearch wrapper). **Will TMview rate-limit my runs?** TMview has a soft ~3-5 req/s limit. We pace requests with a quarter-second sleep between pages and exponential backoff on 429. At default page size 30, 1000 trademarks = ~33 requests, well under the cap. Datacenter proxy is enabled by default since TMview blocks unrouted cloud IPs at the network edge. *** ⭐ **Found this EUIPO Trademarks Scraper useful? [Bookmark it](https://apify.com/dltik/euipo-trademarks-scraper)** — Apify ranks actors by bookmarks, so it's the strongest single signal for Store visibility. One click. ### Other scrapers by dltik | Actor | What it does | Price | |---|---|---| | [Espacenet Patents Scraper](https://apify.com/dltik/espacenet-patents-scraper) | 130M patents from EPO (Espacenet) | $0.015/patent | | [USPTO Patents Scraper](https://apify.com/dltik/uspto-patents-scraper) | US patents via PatentsView | $0.01/patent | | [Pappers Sirene Scraper](https://apify.com/dltik/pappers-sirene-scraper) | 26M French companies (SIREN/SIRET) | $0.001/result | | [BODACC Scraper](https://apify.com/dltik/bodacc-fr-scraper) | French commercial court announcements | $0.003/record | | [SEC EDGAR MCP Server](https://apify.com/dltik/mcp-server-sec-edgar) | US public companies for AI agents | $0.01/tool-call | | [TED Europa Scraper](https://apify.com/dltik/ted-europa-scraper) | EU public procurement tenders | $0.005/tender | | [EUR-Lex Scraper](https://apify.com/dltik/eur-lex-scraper) | EU legislation full text | $0.005/doc | | [Pappers MCP Server](https://apify.com/dltik/mcp-server-pappers) | French company data for Claude / GPT | $0.01/tool-call | License: MIT · Author: [dltik](https://apify.com/dltik) # Actor input Schema ## `query` (type: `string`): Free-text search on trademark name. Examples: 'apple', 'louis vuitton', 'tesla', 'volkswagen'. Required to run a search. ## `offices` (type: `array`): Two-letter IP office codes. Examples: 'EM' = EUIPO (EU trademark), 'FR' = INPI France, 'DE' = DPMA Germany, 'US' = USPTO, 'WO' = WIPO Madrid, 'JP' = JPO Japan. Leave empty to search ALL 70+ offices. Multi-value supported. ## `statuses` (type: `array`): Filter by status. Common values: 'Registered', 'Filed', 'Expired', 'Application published', 'Application opposed', 'Application refused'. Leave empty for all statuses. ## `niceClasses` (type: `array`): Nice classification numbers (1-45) — international trademark goods/services categories. Provide as strings: '9' = electronics/software, '25' = clothing, '35' = advertising, '41' = education, '42' = scientific/IT services. Multi-value supported. ## `tmTypes` (type: `array`): Filter by mark type. Common values: 'Word', 'Figurative', 'Combined', '3-D', 'Sound', 'Colour', 'Hologram', 'Motion'. Leave empty for all types. ## `applicationDateFrom` (type: `string`): Filter by application date (start). Format: YYYY-MM-DD. Example: '2020-01-01'. Requires applicationDateTo to be set as well. ## `applicationDateTo` (type: `string`): Filter by application date (end). Format: YYYY-MM-DD. Example: '2026-12-31'. Requires applicationDateFrom to be set as well. ## `pageSize` (type: `integer`): Results per TMview page. Default 30 matches the official TMview UI. Higher reduces request count for large maxResults. ## `maxResults` (type: `integer`): Maximum trademarks to return. Start with 30 to validate filters, scale up once happy. Billing is per result returned. ## `proxyConfig` (type: `object`): Apify datacenter proxy is enabled by default — TMview blocks plain cloud IPs at the network edge. You can switch to residential if you scrape at very high frequency. ## Actor input object example ```json { "offices": [], "statuses": [], "niceClasses": [], "tmTypes": [], "pageSize": 30, "maxResults": 30, "proxyConfig": { "useApifyProxy": true } } ``` # 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("dltik/euipo-trademarks-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 = {} # Run the Actor and wait for it to finish run = client.actor("dltik/euipo-trademarks-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 '{}' | apify call dltik/euipo-trademarks-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dltik/euipo-trademarks-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EUIPO Trademarks Scraper: 100M+ EU/Global Trademarks via TMview", "description": "Search 100M+ trademarks from EUIPO + 70 IP offices (USPTO, INPI, DPMA, WIPO Madrid). Filter by Nice class, status, office, date. No API key. $0.01/result.", "version": "0.0", "x-build-id": "6rmKEkXGSZjIePP0J" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dltik~euipo-trademarks-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dltik-euipo-trademarks-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/dltik~euipo-trademarks-scraper/runs": { "post": { "operationId": "runs-sync-dltik-euipo-trademarks-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/dltik~euipo-trademarks-scraper/run-sync": { "post": { "operationId": "run-sync-dltik-euipo-trademarks-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", "properties": { "query": { "title": "Search query (brand name or keyword)", "type": "string", "description": "Free-text search on trademark name. Examples: 'apple', 'louis vuitton', 'tesla', 'volkswagen'. Required to run a search." }, "offices": { "title": "Offices (filter)", "type": "array", "description": "Two-letter IP office codes. Examples: 'EM' = EUIPO (EU trademark), 'FR' = INPI France, 'DE' = DPMA Germany, 'US' = USPTO, 'WO' = WIPO Madrid, 'JP' = JPO Japan. Leave empty to search ALL 70+ offices. Multi-value supported.", "items": { "type": "string" }, "default": [] }, "statuses": { "title": "Trademark statuses (filter)", "type": "array", "description": "Filter by status. Common values: 'Registered', 'Filed', 'Expired', 'Application published', 'Application opposed', 'Application refused'. Leave empty for all statuses.", "items": { "type": "string" }, "default": [] }, "niceClasses": { "title": "Nice classes (filter)", "type": "array", "description": "Nice classification numbers (1-45) — international trademark goods/services categories. Provide as strings: '9' = electronics/software, '25' = clothing, '35' = advertising, '41' = education, '42' = scientific/IT services. Multi-value supported.", "items": { "type": "string" }, "default": [] }, "tmTypes": { "title": "Trademark types (filter)", "type": "array", "description": "Filter by mark type. Common values: 'Word', 'Figurative', 'Combined', '3-D', 'Sound', 'Colour', 'Hologram', 'Motion'. Leave empty for all types.", "items": { "type": "string" }, "default": [] }, "applicationDateFrom": { "title": "Application date from", "type": "string", "description": "Filter by application date (start). Format: YYYY-MM-DD. Example: '2020-01-01'. Requires applicationDateTo to be set as well." }, "applicationDateTo": { "title": "Application date to", "type": "string", "description": "Filter by application date (end). Format: YYYY-MM-DD. Example: '2026-12-31'. Requires applicationDateFrom to be set as well." }, "pageSize": { "title": "Page size", "minimum": 1, "maximum": 200, "type": "integer", "description": "Results per TMview page. Default 30 matches the official TMview UI. Higher reduces request count for large maxResults.", "default": 30 }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum trademarks to return. Start with 30 to validate filters, scale up once happy. Billing is per result returned.", "default": 30 }, "proxyConfig": { "title": "Proxy (recommended)", "type": "object", "description": "Apify datacenter proxy is enabled by default — TMview blocks plain cloud IPs at the network edge. You can switch to residential if you scrape at very high frequency.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```