USPTO US Patent & Invention Intelligence Scraper
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from $1.05 / 1,000 item scrapeds
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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
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LiteZero
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📜 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 |
|---|---|---|
| Speed | 50+ patent filings in < 2 seconds | Manual search takes hours across disparate PDFs |
| Pricing | $1.50 / 1,000 items (Platform Usage: FREE) | Expensive enterprise IP databases ($2,000+/mo) |
| Data Enrichment | Structured assignees, inventors, abstracts, CPCs | Unstructured raw text and scanned PDFs |
| Direct Links | Instant Google Patents & USPTO Portal URLs | Requires manual docket number lookups |
| Reliability | Direct official PatentsView REST integration | 100% uptime, zero captcha friction |
🛠️ Step-by-Step: How to Use
Method 1: Apify Web Console (No-Code GUI)
- Enter your target Query / Technology Keyword (e.g.
artificial intelligence,quantum computing,solid state battery). - Optionally specify an Assignee Organization (e.g.
Apple,Microsoft,Google,Pfizer). - Set Max Items and click Start.
- Download full structured patent datasets in JSON, CSV, or Excel.
Method 2: Python SDK
from apify_client import ApifyClientclient = 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
| Field | Type | Default | Description |
|---|---|---|---|
query | String | "artificial intelligence" | Keyword or topic to search across patent titles and abstracts. |
assignee | String | Optional | Corporate assignee or patent owner (e.g. Apple, Google, IBM). |
maxItems | Integer | 50 | Maximum 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
- R&D & Competitive IP Landscaping: Monitor patent applications from tech giants and startups months before commercial product launches.
- Prior Art & Legal Due Diligence: Rapidly discover patent citations and claims for patent prosecution and freedom-to-operate analyses.
- M&A Technology Valuation: Quantify enterprise IP portfolios, inventor velocity, and technology moats during startup acquisitions.