# ⚖️ USPTO Trademark Early-Warning & Stealth Brand Watcher (`automation_studio/uspto-trademark-radar`) Actor

Track newly filed trademarks, competitor stealth brands (Apple, Nike, OpenAI, etc.), Nice classes, examining attorneys, and trigger instant Discord/Slack webhook alerts.

- **URL**: https://apify.com/automation\_studio/uspto-trademark-radar.md
- **Developed by:** [Automation Studio](https://apify.com/automation_studio) (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 $3.00 / 1,000 trademark dossier extracteds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## ⚖️ USPTO Trademark Early-Warning & Stealth Brand Watcher

> **Detect stealth brand filings, secret product names, and competitor trademarks 3 to 6 months before public announcement—powered by direct, authentic US Government USPTO data with instant Discord and Slack webhook alerts.**

***

#### 🌟 Why This Actor Is Your Unfair Advantage

Major tech companies, pharmaceutical giants, fashion houses, and consumer brands (e.g., **Apple, Nike, OpenAI, Sony, Meta**) file their trademarks **3 to 6 months before publicly announcing a new product, hardware device, or rebrand**.

- **Journalists & Leakers**: Uncover unannounced hardware names, secret OS codenames, and upcoming product lines (e.g., Apple's stealth filings for *xrOS*, *RealityOS*, and *Apple Vision*).
- **Domain Investors & Flippers**: The instant a trademark application appears, claim high-value matching `.com`, `.ai`, or `.io` domains before public awareness.
- **IP Lawyers & Legal Tech Sales**: Extract freshly filed applications with full applicant physical addresses, entity types, and the **examining attorney's name** for high-ticket B2B outreach.
- **Competitor Intelligence**: Keep continuous surveillance on direct competitors to anticipate their new market entries.

***

#### 🚀 Key Features

- **⚡ Real-Time Official USPTO Data**: Direct connection to the United States Patent and Trademark Office official Gazette and Dossier systems. Zero synthetic records—100% authentic government evidence.
- **🏢 Competitor Watchlist Radar**: Specify target corporations (e.g., `["Apple Inc.", "OpenAI, Inc.", "Nike, Inc."]`) to automatically track any newly published filings.
- **🏷️ Nice International Class Filtering**: Narrow searches to high-value industries:
  - `Class 009`: Software, Hardware, Mobile Apps, AI Models
  - `Class 042`: SaaS, Cloud Computing, Research & Technology
  - `Class 005`: Pharmaceuticals, Medical Preparations, Biotechnology
  - `Class 025`: Apparel, Footwear, Fashion Collections
- **🏛️ Deep Contact & Legal Enrichment**:
  - Applicant Full Legal Name & Entity Structure (Corporation, LLC, etc.)
  - Registered Physical Headquarters Address
  - USPTO Examining Attorney Name
  - Detailed Description of Goods & Services
  - Foreign Priority Filing Records (e.g., secret early filings in Jamaica/Liechtenstein)
- **🔔 Instant Webhook Notifications**: Built-in native support for **Discord Embeds**, **Slack Cards**, and generic **JSON Webhooks** to feed into Zapier, Make, or n8n alert pipelines.
- **🏎️ Ultra-Fast & Resource-Light**: Pure HTTP REST architecture running with `< 128 MB RAM`, completing scans in seconds without heavy browser overhead.

***

#### 📥 Input Parameters

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| **`searchQuery`** | `String` | `"Apple"` | Keyword, mark name, or phrase to search (e.g. `'Vision'`, `'Quantum'`, `'AI'`). |
| **`applicants`** | `Array` | `["Apple Inc."]` | Specific companies/applicants to monitor. |
| **`searchIn`** | `Array` | `["MARK_LITERAL", "CURRENT_OWNER"]` | Fields to search across (`MARK_LITERAL`, `CURRENT_OWNER`, `GOODS_AND_SERVICES`, etc.). |
| **`internationalClasses`**| `Array` | `["009"]` | Nice classification codes (e.g. `'009'`, `'042'`, `'005'`, `'025'`). |
| **`issuesCount`** | `Integer` | `2` | Number of recent weekly Gazette issues to scan (1 to 10). |
| **`maxResults`** | `Integer` | `50` | Maximum number of trademark dossiers to extract. |
| **`enrichDetails`** | `Boolean` | `true` | Fetch complete physical address, entity type, and examining attorney. |
| **`webhookUrl`** | `String` | *None* | Discord, Slack, or generic HTTP webhook URL for instant alerts. |
| **`usptoApiKey`** | `String` | *None* | Optional USPTO Open Data Portal API key (not required for standard use). |

##### Example Input

```json
{
  "searchQuery": "AI",
  "applicants": [
    "Apple Inc.",
    "OpenAI, Inc.",
    "Nike, Inc."
  ],
  "internationalClasses": ["009", "042"],
  "issuesCount": 2,
  "maxResults": 50,
  "enrichDetails": true,
  "webhookUrl": "https://discord.com/api/webhooks/..."
}
```

***

#### 📤 Output Data Format

Each dataset row contains a comprehensive, normalized trademark dossier:

```json
{
  "serialNumber": "99833622",
  "markText": "AN ILLUSTRATION DRAWING WITHOUT ANY WORDS(S)/ LETTER(S)",
  "applicantName": "Apple Inc.",
  "entityType": "CORPORATION",
  "applicantAddress": "One Apple Park Way, Cupertino, California, 95014",
  "filingDate": "2026-05-19",
  "publicationDate": "2026-09-08",
  "internationalClasses": "9",
  "goodsServices": "[Class 9]: downloadable computer software for facilitating realtime collaboration, for jointly creating, sharing, viewing, displaying, editing...",
  "examiningAttorney": "MESSICK, TABITHA LEE",
  "markDescription": "The mark consists of a white and light green curved line overlaying an overlapping blue square...",
  "markType": "Trademark",
  "status": "Published for Opposition",
  "tsdrUrl": "https://tsdr.uspto.gov/#caseNumber=99833622&caseType=SERIAL_NO&searchType=statusSearch",
  "tmogUrl": "https://tmog.uspto.gov/#"
}
```

***

#### 💳 Pay-Per-Event (PPE) Pricing

This Actor utilizes transparent **Pay-Per-Event (PPE)** pricing:

- **Run Start**: `$0.002` per execution
- **Trademark Dossier Delivered**: `$0.008` per authentic record

***

#### 💻 Programmatic Usage

##### Python

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("automation_studio/uspto-trademark-radar").call(run_input={
    "applicants": ["Apple Inc.", "Nike, Inc."],
    "internationalClasses": ["009"],
    "maxResults": 25
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"[{item['filingDate']}] {item['applicantName']} -> {item['markText']} ({item['tsdrUrl']})")
```

##### JavaScript / Node.js

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('automation_studio/uspto-trademark-radar').call({
    applicants: ['Apple Inc.'],
    maxResults: 20
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Retrieved ${items.length} trademark filings.`);
```

# Actor input Schema

## `searchQuery` (type: `string`):

Enter a keyword, mark name, or phrase to search (e.g. 'Apple', 'Vision', 'Quantum', 'GPT'). Leave empty to search across all watched applicants.

## `applicants` (type: `string`):

Enter company names or applicants to monitor (e.g. 'Apple Inc.', 'Nike, Inc.', 'OpenAI, Inc.'). Enter one per line or comma-separated.

## `internationalClasses` (type: `array`):

Select one or more Nice International Classification classes (WIPO) to filter trademark results. Leave empty to scan all 45 classes. **Class 09** = Computers & Software | **Class 42** = SaaS & Tech Services | **Class 35** = Advertising & E-Commerce.

## `issuesCount` (type: `integer`):

Number of recent weekly Trademark Official Gazette (TMOG) issues to scan (1 = latest Tuesday issue, 2 = past 2 weeks, etc.). Max: 10.

## `maxResults` (type: `integer`):

Maximum number of trademark dossiers to collect and deliver.

## `enrichDetails` (type: `boolean`):

Extract full examining attorney name, applicant physical address, and entity incorporation status from the official USPTO dossier.

## `webhookUrl` (type: `string`):

Optional Discord, Slack, or generic HTTP POST webhook URL. Rich alert cards are automatically dispatched upon filing detection.

## `proxyConfiguration` (type: `object`):

Apify Proxy configuration to ensure high uptime and avoid rate limits.

## `usptoApiKey` (type: `string`):

Optional USPTO Open Data Portal API key for increased TSDR rate limits. Not required for normal gazette searches.

## Actor input object example

```json
{
  "searchQuery": "Apple",
  "applicants": "Apple Inc.",
  "internationalClasses": [
    "9"
  ],
  "issuesCount": 2,
  "maxResults": 50,
  "enrichDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing verified trademark serial numbers, mark names, applicant entities, physical corporate addresses, Nice classes, examining attorneys, and TSDR status links.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQuery": "Apple",
    "applicants": "Apple Inc.",
    "internationalClasses": [
        "9"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("automation_studio/uspto-trademark-radar").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQuery": "Apple",
    "applicants": "Apple Inc.",
    "internationalClasses": ["9"],
}

# Run the Actor and wait for it to finish
run = client.actor("automation_studio/uspto-trademark-radar").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQuery": "Apple",
  "applicants": "Apple Inc.",
  "internationalClasses": [
    "9"
  ]
}' |
apify call automation_studio/uspto-trademark-radar --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,automation_studio/uspto-trademark-radar"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/k7WFf1K6Cf8KTlQav/builds/lHrRwEctcBpyerygC/openapi.json