# USPTO Trademark Scraper - Brand-Owner & Attorney Leads (`scrapesage/uspto-trademark-scraper`) Actor
Scrape USPTO trademarks by keyword, owner, class or serial number. Get mark, status, Nice classes, owner name & address, goods & services, dates, plus the filing attorney's name & email. Export brand-owner and IP-attorney leads. Monitor new filings. No API key, no browser.
- **URL**: https://apify.com/scrapesage/uspto-trademark-scraper.md
- **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community)
- **Categories:** Lead generation, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $4.00 / 1,000 trademark records
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
## USPTO Trademark Scraper — Brand-Owner & IP-Attorney Leads
Extract **complete US trademark records** — mark, status, Nice classes, owner name & address, goods & services, filing/registration dates — **and the data that turns a filing into a lead**: the prosecuting attorney's name and **e-mail**. Search by keyword, owner, class, serial or registration number, then export ready-to-contact **brand-owner** and **IP-attorney** leads with 0–100 lead scores.
No login, no cookies, no browser, no API key — fast keyless extraction.
### Why this trademark scraper?
Most trademark tools stop at a name search and return a thin record. This actor merges two public sources — the **TMview / TMDN network** (search across the USPTO register) and the official **USPTO TSDR** status pages (full US detail) — to ship the **richest dataset in the category**, including the contact fields nobody else exposes:
| Data | Typical scrapers | This actor |
|---|---|---|
| Mark, serial #, registration #, status | ✅ | ✅ |
| Nice classes + goods & services text | partial | ✅ |
| Owner / applicant name | ✅ | ✅ |
| Owner address + legal entity | ❌ | ✅ |
| Prosecuting **attorney name + e-mail** | ❌ | ✅ |
| Examining attorney (USPTO) | ❌ | ✅ |
| Deduplicated **brand-owner leads** + score | ❌ | ✅ opt-in |
| Deduplicated **IP-attorney / firm leads** + score | ❌ | ✅ opt-in |
| Firm website contact enrichment | ❌ | ✅ opt-in |
| New-filing **monitor** (only new marks) | ❌ | ✅ |
| API key required | often | **never** |
### Use cases
- **IP & legal lead generation** — every new trademark is filed by an attorney (name + e-mail on record) for a brand owner who is actively investing in their brand. Score and contact both sides: co-counsel networks, legal SaaS, brand-protection, docketing and renewal services.
- **Brand clearance & due diligence** — check whether a name is taken across classes, and pull full status history by serial/registration number.
- **Competitor portfolio mapping** — filter by `ownerName` to extract every mark a company owns, with classes, status and dates.
- **New-filing intent feed** — schedule a class- or keyword-scoped run with monitor mode to capture only newly filed marks — high-intent leads for branding agencies, domain/web, packaging, and business services.
- **Renewal & enforcement sourcing** — find marks by owner or class and target upcoming maintenance/renewal windows.
- **Market research** — measure filing activity by class, owner type, and time.
### How to use
1. [Sign up for Apify](https://console.apify.com/sign-up) — the free plan is enough to try this actor.
2. Open the **USPTO Trademark Scraper**, enter search terms (and optionally an owner name, classes, or a status/date filter), and click **Start**.
3. Watch trademark records stream into the dataset table.
4. **Export** as JSON, CSV, Excel, XML, or RSS — or pull results via the [Apify API](https://docs.apify.com/api/v2).
### Input
```json
{
"searchTerms": ["coffee"],
"niceClasses": ["30", "43"],
"statusFilter": "live",
"maxResults": 100,
"includeFullDetail": true,
"emitOwnerLeads": true,
"emitAttorneyLeads": true
}
````
- **searchTerms** — keywords matched against the mark name (each searched separately).
- **ownerName** — keep only marks whose owner/applicant contains this text (competitor portfolio mapping).
- **serialNumbers / registrationNumbers** — look up specific US marks directly (full detail always fetched).
- **offices** — TMview office codes; default `US`. Full owner-address / attorney-email detail is US-only.
- **niceClasses** — international class numbers 1–45 (e.g. `9` software, `25` clothing, `35` business, `42` tech).
- **statusFilter** — `all`, `live`, `registered`, or `dead`.
- **filedAfter / filedBefore** — filing-date window (YYYY-MM-DD). New filings are the highest-intent leads.
- **includeFullDetail** *(default true)* — fetch the USPTO TSDR status page for owner address, attorney e-mail, goods & services, examining attorney and register.
- **emitOwnerLeads / emitAttorneyLeads** *(default false)* — deduplicated lead records per owner / per attorney with portfolio counts and lead scores.
- **enrichAttorneyContacts** *(default false)* — crawl the attorney firm website for extra emails, phones and socials.
- **monitorMode / monitorKey** — remember marks already seen (by serial) and emit only new ones on each run.
### Output
One record per trademark (`type: "trademark"`), plus optional `ownerLead` and `attorneyLead` records:
```json
{
"type": "trademark",
"mark": "PELOTON",
"serialNumber": "86753385",
"registrationNumber": "5260141",
"status": "Registered. The registration date is used to determine when post-registration maintenance documents are due.",
"isLive": true,
"niceClasses": [28, 41],
"ownerName": "Peloton Interactive, Inc.",
"ownerAddress": "441 Ninth Avenue, Sixth Floor, New York, NEW YORK, UNITED STATES, 10001",
"ownerLegalEntity": "CORPORATION",
"ownerOrganizedIn": "DELAWARE",
"goodsAndServices": [
{ "internationalClass": "28", "description": "Exercise equipment, namely, stationary bicycles" }
],
"attorneyOfRecord": "Jane Q. Attorney",
"correspondentName": "JANE Q. ATTORNEY, FENWICK & WEST LLP",
"correspondentEmail": "trademarks@fenwick.com",
"examiningAttorney": "SMITH, JOHN",
"register": "Principal",
"filingDate": "2015-09-11",
"registrationDate": "2017-08-08",
"markImageUrl": "https://www.tmdn.org/tmview/api/trademark/image/US...",
"tsdrUrl": "https://tsdr.uspto.gov/#caseNumber=86753385&caseType=SERIAL_NO&searchType=statusSearch",
"leadScore": 78,
"scrapedAt": "2026-06-24T12:00:00.000Z"
}
```
### Automate & schedule
Run this actor on autopilot and pull results into your own stack:
- **[Apify API](https://docs.apify.com/api/v2)** — start runs, fetch datasets, and manage schedules over REST.
- **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[apify-client for Python](https://docs.apify.com/api/client/python/)** — official SDKs.
- **[Schedules](https://docs.apify.com/platform/schedules)** — run it daily/weekly with `monitorMode` to capture only newly filed trademarks; perfect for a new-filing lead feed or brand-watch.
- **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** — trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.
```js
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });
const run = await client.actor('scrapesage/uspto-trademark-scraper').call({
searchTerms: ['fintech'],
niceClasses: ['9', '36'],
statusFilter: 'live',
emitAttorneyLeads: true,
emitOwnerLeads: true,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} trademarks & leads`);
```
### Integrate with any app
Connect the dataset to 5,000+ apps — no code required:
- **[Make](https://docs.apify.com/platform/integrations/make)** — multi-step automation scenarios.
- **[Zapier](https://docs.apify.com/platform/integrations/zapier)** — push new owner/attorney leads straight into your CRM.
- **[Slack](https://docs.apify.com/platform/integrations/slack)** — get notified when a monitored search finds new filings.
- **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** — auto-export every run to a spreadsheet.
- **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** — pipe results into your data warehouse.
- **[GitHub](https://docs.apify.com/platform/integrations/github)** — trigger runs from commits or releases.
### Use with AI assistants (MCP)
The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the **[Apify MCP server](https://docs.apify.com/platform/integrations/mcp)** — ask your assistant to "find live trademarks filed in class 9 this month and list the filing attorneys" and let it run this scraper.
### Agent-ready: autonomous payments (x402 & Skyfire)
This actor is **agent-ready** — AI agents can discover it, run it, and **pay for it autonomously**, with no Apify account and no human in the loop. It uses [pay-per-event](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) pricing and [limited permissions](https://docs.apify.com/platform/actors/development/permissions), so it qualifies for Apify's agentic-payment standards:
- **[x402](https://docs.apify.com/platform/integrations/x402)** — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) — no account, no API key.
- **[Skyfire](https://docs.apify.com/platform/integrations/skyfire)** — agent-to-service payments for fully autonomous AI-agent workflows.
Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.
### More scrapers from scrapesage
Build a complete IP, legal and B2B lead-gen stack:
- **[Google Patents Scraper](https://apify.com/scrapesage/google-patents-scraper)** — patents, assignees, inventors and citations.
- **[FindLaw Scraper](https://apify.com/scrapesage/findlaw-scraper)** — attorney and law-firm leads by practice area and city.
- **[Avvo Scraper](https://apify.com/scrapesage/avvo-scraper)** — lawyer leads, ratings and reviews.
- **[Martindale Scraper](https://apify.com/scrapesage/martindale-scraper)** — lawyer and firm profiles and peer ratings.
- **[Super Lawyers Scraper](https://apify.com/scrapesage/superlawyers-scraper)** — top-rated attorney leads.
- **[SEC EDGAR Scraper](https://apify.com/scrapesage/sec-edgar-scraper)** — company filings and disclosures.
- **[US Business Formation Scraper](https://apify.com/scrapesage/us-business-formation-scraper)** — new business registrations as buying signals.
- **[LinkedIn Company Scraper](https://apify.com/scrapesage/linkedin-company-scraper)** — firmographics and B2B company data.
- **[Website Contact Scraper](https://apify.com/scrapesage/website-contact-scraper)** — emails, phones and socials from any domain list.
### Tips
- **Owner portfolio**: set `ownerName` to a company name to keep only that owner's marks. The TMview search matches the mark name, so combine `ownerName` with a brand keyword for the cleanest portfolio.
- **High-intent leads**: combine `filedAfter` with `monitorMode` to surface only newly filed marks — owners who are actively investing in a brand right now.
- **Cost control**: turn off `includeFullDetail` for a fast, cheap name search; turn it on for full owner + attorney lead data.
- **Proxies**: keep the default residential proxy — the TMview search API blocks datacenter IPs.
### FAQ
**Do I need a USPTO API key?** No. This actor uses the public TMview search network and the public USPTO TSDR status pages — no key, no account, no browser.
**Where do attorney emails come from?** From the public USPTO TSDR record's correspondent e-mail field — the address the applicant designated for correspondence (usually their attorney/firm). It is published on the public status page; this actor reads the same thing a human visitor would.
**Can I search non-US trademarks?** Yes — set `offices` to other TMview codes (e.g. `EM` EUIPO, `GB`, `CA`, `AU`, `WO` WIPO). Full owner-address and attorney-email detail enrichment is available for `US` marks only.
**Why is a field empty?** Some fields only exist for certain marks: a registration number/date only for *registered* marks, a correspondent e-mail only when one was filed, an owner address that USPTO masks for some individuals, and a design image only for stylized (non-text) marks. Fields are empty only when the data genuinely doesn't exist.
**Can I export to Google Sheets, CSV, or Excel?** Yes — one click in the dataset view, or automatically on every run via the [Google Drive integration](https://docs.apify.com/platform/integrations/drive).
**Is scraping this data legal?** This actor collects publicly available US government trademark data and public register information. You are responsible for using the data in compliance with applicable laws and the source sites' terms.
### Need help?
Open an issue on the actor's **Issues** tab, or visit the [Apify help center](https://help.apify.com/). Feature requests are welcome — this actor is actively maintained.
# Actor input Schema
## `searchTerms` (type: `array`):
Keywords matched against the trademark name, e.g. coffee, blockchain, peloton. Each term is searched separately. Combine with the class / status / date filters below.
## `ownerName` (type: `string`):
Map a competitor's trademark portfolio: keep only marks whose owner/applicant name contains this text (e.g. Nike). Used together with the search terms above (or on its own as a search term).
## `serialNumbers` (type: `array`):
Look up specific US applications directly by serial number (e.g. 97123456). Full detail is always fetched for these.
## `registrationNumbers` (type: `array`):
Look up specific US registrations directly by registration number (e.g. 1092517).
## `offices` (type: `array`):
Office codes to search (TMview network). Default US (USPTO). Other examples: EM (EUIPO), GB, CA, AU, WO (WIPO). Full owner-address / attorney-email detail enrichment is available for US only.
## `niceClasses` (type: `array`):
Filter by international (Nice) class numbers 1–45, e.g. 9 (software), 25 (clothing), 35 (advertising/business), 42 (technology services).
## `statusFilter` (type: `string`):
Restrict by registration status.
## `filedAfter` (type: `string`):
Only include marks with a filing date on or after this date (YYYY-MM-DD). New filings are high-intent leads — a brand owner who just filed is actively investing in their brand.
## `filedBefore` (type: `string`):
Only include marks with a filing date on or before this date (YYYY-MM-DD).
## `maxResults` (type: `integer`):
Maximum number of trademark records to emit across all search terms.
## `includeFullDetail` (type: `boolean`):
For each US mark, fetch the USPTO TSDR status page to add owner name + address, legal entity, the prosecuting attorney's name + e-mail, examining attorney, goods & services and register. This is the lead data — leave on for lead generation.
## `emitOwnerLeads` (type: `boolean`):
In addition to trademark records, push one deduplicated lead per owner/applicant (type = "ownerLead") with their full portfolio count, address, legal entity and a 0–100 lead score.
## `emitAttorneyLeads` (type: `boolean`):
Push one deduplicated lead per prosecuting attorney / correspondent (type = "attorneyLead") with their e-mail, firm website, the marks they handle and a 0–100 lead score.
## `enrichAttorneyContacts` (type: `boolean`):
For each attorney lead, crawl the firm website (home + contact/about) for additional emails, phone numbers and social links. Only runs when 'Emit IP-attorney leads' is on.
## `monitorMode` (type: `boolean`):
Remember trademarks already seen (by serial number) in a named store and emit only NEW ones on each run. Perfect for a scheduled brand-watch or new-filing lead feed. Works independently of Apify Schedules.
## `monitorKey` (type: `string`):
Names the monitor store so different searches keep separate memory (e.g. fintech-class-9).
## `proxyConfiguration` (type: `object`):
Proxies to use. Residential is required — the TMview search API blocks datacenter IPs.
## Actor input object example
```json
{
"searchTerms": [
"coffee"
],
"offices": [
"US"
],
"statusFilter": "all",
"maxResults": 100,
"includeFullDetail": true,
"emitOwnerLeads": false,
"emitAttorneyLeads": false,
"enrichAttorneyContacts": false,
"monitorMode": false,
"monitorKey": "default",
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
}
```
# Actor output Schema
## `results` (type: `string`):
All scraped trademark records and optional owner / attorney lead records as JSON items in the default dataset.
# 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 = {
"searchTerms": [
"coffee"
],
"offices": [
"US"
],
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapesage/uspto-trademark-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 = {
"searchTerms": ["coffee"],
"offices": ["US"],
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
"apifyProxyCountry": "US",
},
}
# Run the Actor and wait for it to finish
run = client.actor("scrapesage/uspto-trademark-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 '{
"searchTerms": [
"coffee"
],
"offices": [
"US"
],
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
}' |
apify call scrapesage/uspto-trademark-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapesage/uspto-trademark-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "USPTO Trademark Scraper - Brand-Owner & Attorney Leads",
"description": "Scrape USPTO trademarks by keyword, owner, class or serial number. Get mark, status, Nice classes, owner name & address, goods & services, dates, plus the filing attorney's name & email. Export brand-owner and IP-attorney leads. Monitor new filings. No API key, no browser.",
"version": "0.1",
"x-build-id": "mkRQGbEBF7w4YEMl7"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapesage~uspto-trademark-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapesage-uspto-trademark-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapesage~uspto-trademark-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapesage-uspto-trademark-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapesage~uspto-trademark-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapesage-uspto-trademark-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"searchTerms": {
"title": "Search terms (mark name)",
"type": "array",
"description": "Keywords matched against the trademark name, e.g. coffee, blockchain, peloton. Each term is searched separately. Combine with the class / status / date filters below.",
"items": {
"type": "string"
}
},
"ownerName": {
"title": "Owner / applicant name contains",
"type": "string",
"description": "Map a competitor's trademark portfolio: keep only marks whose owner/applicant name contains this text (e.g. Nike). Used together with the search terms above (or on its own as a search term)."
},
"serialNumbers": {
"title": "Serial numbers",
"type": "array",
"description": "Look up specific US applications directly by serial number (e.g. 97123456). Full detail is always fetched for these.",
"items": {
"type": "string"
}
},
"registrationNumbers": {
"title": "Registration numbers",
"type": "array",
"description": "Look up specific US registrations directly by registration number (e.g. 1092517).",
"items": {
"type": "string"
}
},
"offices": {
"title": "Trademark offices",
"type": "array",
"description": "Office codes to search (TMview network). Default US (USPTO). Other examples: EM (EUIPO), GB, CA, AU, WO (WIPO). Full owner-address / attorney-email detail enrichment is available for US only.",
"default": [
"US"
],
"items": {
"type": "string"
}
},
"niceClasses": {
"title": "Nice classes",
"type": "array",
"description": "Filter by international (Nice) class numbers 1–45, e.g. 9 (software), 25 (clothing), 35 (advertising/business), 42 (technology services).",
"items": {
"type": "string"
}
},
"statusFilter": {
"title": "Status filter",
"enum": [
"all",
"live",
"registered",
"dead"
],
"type": "string",
"description": "Restrict by registration status.",
"default": "all"
},
"filedAfter": {
"title": "Filed on or after",
"type": "string",
"description": "Only include marks with a filing date on or after this date (YYYY-MM-DD). New filings are high-intent leads — a brand owner who just filed is actively investing in their brand."
},
"filedBefore": {
"title": "Filed on or before",
"type": "string",
"description": "Only include marks with a filing date on or before this date (YYYY-MM-DD)."
},
"maxResults": {
"title": "Max trademark records",
"minimum": 1,
"type": "integer",
"description": "Maximum number of trademark records to emit across all search terms.",
"default": 100
},
"includeFullDetail": {
"title": "Include full detail (owner address, attorney email, goods & services)",
"type": "boolean",
"description": "For each US mark, fetch the USPTO TSDR status page to add owner name + address, legal entity, the prosecuting attorney's name + e-mail, examining attorney, goods & services and register. This is the lead data — leave on for lead generation.",
"default": true
},
"emitOwnerLeads": {
"title": "Emit brand-owner leads",
"type": "boolean",
"description": "In addition to trademark records, push one deduplicated lead per owner/applicant (type = \"ownerLead\") with their full portfolio count, address, legal entity and a 0–100 lead score.",
"default": false
},
"emitAttorneyLeads": {
"title": "Emit IP-attorney / law-firm leads",
"type": "boolean",
"description": "Push one deduplicated lead per prosecuting attorney / correspondent (type = \"attorneyLead\") with their e-mail, firm website, the marks they handle and a 0–100 lead score.",
"default": false
},
"enrichAttorneyContacts": {
"title": "Enrich attorney firm websites",
"type": "boolean",
"description": "For each attorney lead, crawl the firm website (home + contact/about) for additional emails, phone numbers and social links. Only runs when 'Emit IP-attorney leads' is on.",
"default": false
},
"monitorMode": {
"title": "Monitor mode (only new filings)",
"type": "boolean",
"description": "Remember trademarks already seen (by serial number) in a named store and emit only NEW ones on each run. Perfect for a scheduled brand-watch or new-filing lead feed. Works independently of Apify Schedules.",
"default": false
},
"monitorKey": {
"title": "Monitor key",
"type": "string",
"description": "Names the monitor store so different searches keep separate memory (e.g. fintech-class-9).",
"default": "default"
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Proxies to use. Residential is required — the TMview search API blocks datacenter IPs.",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```