USPTO US Patent & Invention Intelligence Scraper avatar

USPTO US Patent & Invention Intelligence Scraper

Pricing

from $1.05 / 1,000 item scrapeds

Go to Apify Store
USPTO US Patent & Invention Intelligence Scraper

USPTO US Patent & Invention Intelligence Scraper

Extract granted patents, patent numbers, abstracts, inventors, assignees, filing dates, and legal statuses from USPTO and Google Patents.

Pricing

from $1.05 / 1,000 item scrapeds

Rating

0.0

(0)

Developer

LiteZero

LiteZero

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

Share

📜 USPTO US Patent & Invention Intelligence Scraper

Search and extract granted patents, patent publication numbers, full abstracts, inventors, corporate assignees, grant dates, and CPC technology classifications directly from the United States Patent and Trademark Office (USPTO).


🥊 Why This Actor Beats the Competition

Feature⚡ USPTO Patents Scraper🐢 Traditional Crawlers & Manual Search
Speed50+ patent filings in < 2 secondsManual search takes hours across disparate PDFs
Pricing$1.50 / 1,000 items (Platform Usage: FREE)Expensive enterprise IP databases ($2,000+/mo)
Data EnrichmentStructured assignees, inventors, abstracts, CPCsUnstructured raw text and scanned PDFs
Direct LinksInstant Google Patents & USPTO Portal URLsRequires manual docket number lookups
ReliabilityDirect official PatentsView REST integration100% uptime, zero captcha friction

🛠️ Step-by-Step: How to Use

Method 1: Apify Web Console (No-Code GUI)

  1. Enter your target Query / Technology Keyword (e.g. artificial intelligence, quantum computing, solid state battery).
  2. Optionally specify an Assignee Organization (e.g. Apple, Microsoft, Google, Pfizer).
  3. Set Max Items and click Start.
  4. Download full structured patent datasets in JSON, CSV, or Excel.

Method 2: Python SDK

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"query": "autonomous driving",
"assignee": "Tesla",
"maxItems": 50
}
run = client.actor("litezero/uspto-patents-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(f"US{item['patentNumber']}: {item['title']} ({item['grantDate']})")

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/uspto-patents-scraper').call({
query: 'neural network',
maxItems: 25,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} patent grants.`);

Method 4: REST API / cURL

curl "https://api.apify.com/v2/acts/litezero~uspto-patents-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"query": "CRISPR", "maxItems": 20}'

📥 Input Parameters

FieldTypeDefaultDescription
queryString"artificial intelligence"Keyword or topic to search across patent titles and abstracts.
assigneeStringOptionalCorporate assignee or patent owner (e.g. Apple, Google, IBM).
maxItemsInteger50Maximum number of patent filings to extract.

📤 Output Data Dictionary

{
"patentNumber": "11928374",
"title": "Method and system for distributed neural network inference",
"grantDate": "2024-03-12",
"abstract": "Systems and methods are described for partitioning transformer models across heterogeneous edge accelerators...",
"inventors": [
"John Doe",
"Jane Smith"
],
"assignees": [
"Alphabet Inc."
],
"cpcClassifications": [
"G06N3/08",
"G06F9/455"
],
"googlePatentsUrl": "https://patents.google.com/patent/US11928374",
"usptoUrl": "https://ppubs.uspto.gov/pubwebapp/external.html?q=11928374",
"scrapedAt": "2026-10-04T10:00:00.000Z"
}

💡 Top Use Cases

  1. R&D & Competitive IP Landscaping: Monitor patent applications from tech giants and startups months before commercial product launches.
  2. Prior Art & Legal Due Diligence: Rapidly discover patent citations and claims for patent prosecution and freedom-to-operate analyses.
  3. M&A Technology Valuation: Quantify enterprise IP portfolios, inventor velocity, and technology moats during startup acquisitions.