📜 USPTO Patent Grants Tracker — IP & Competitive Intelligence
Pricing
from $100.00 / 1,000 uspto patent records
📜 USPTO Patent Grants Tracker — IP & Competitive Intelligence
Track newly granted US patents from the USPTO with title, assignee, inventors, CPC classes, claims and citation counts, AI/software flags, PDF and Google Patents URLs. IP, legal, M&A and competitive intelligence. Filter by keywords, assignee, CPC, date range, AI-only.
Pricing
from $100.00 / 1,000 uspto patent records
Rating
0.0
(0)
Developer
NexGenData
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
19 hours ago
Last modified
Share
📜 USPTO Patent Grants Tracker — IP, Legal & Competitive Intelligence
The institutional IP-monitoring desk on tap. Track newly granted US patents from the USPTO with title, assignee, inventors, CPC classifications, claims count, citation count, full-text search, AI / software flags, PDF and Google Patents links. Built for IP law firms, patent attorneys, M&A diligence teams, competitive intelligence analysts, R&D directors, tech-trend researchers, and AI / biotech / hardware funds.
This is the actor a single LexisNexis PatentSight seat costs $30k/yr to access. Pay-per-result on Apify — no seat, no contract, no minimum commitment.
Why a dedicated patent-grants actor (and not just a generic web scraper)
The USPTO publishes ~6,500 patent grants every Tuesday. The raw firehose is too noisy for any human workflow. A generic web scraper fails patent monitoring three ways:
- No semantic classification. USPTO grants carry CPC (Cooperative Patent Classification) codes — the global classification standard maintained jointly by USPTO and EPO. A neural-net patent (
G06N3/08), a CRISPR patent (C12N15/11), and a lithium-ion battery patent (H01M10/0525) live in completely different worlds. A generic scraper hands you all 6,500 grants in a single bucket; we hand you a CPC-typed, AI-flagged, software-flagged feed where every record is already routed to the right downstream consumer. - No assignee-level filtering. When the General Counsel of a hyperscaler asks "what did Google patent this week?" you can't grep raw HTML — you need normalized assignee names, fuzzy matching, country-of-record. Our
assignee_namefilter handles partial matches case-insensitively ("Apple"matches"Apple Inc.","Apple Computer, Inc.","Apple Industries"). - No claims / citations count. The two single most-valuable patent quality signals after the assignee are (a) how many independent claims the patent asserts and (b) how many subsequent patents cite it (the forward-citation count is the gold-standard impact metric in the patent-econometrics literature). A generic scraper gives you the title; we give you a record that already includes both.
What you get
A unified patent grant record stream, one row per granted USPTO patent:
{"patent_number": "US12438891B1","patent_title": "Anomaly detection based on ensemble machine learning model","grant_date": "2025-10-07","priority_date": "2015-08-31","filing_date": "2022-02-18","inventors": ["Sudhakar Muddu", "Christos Tryfonas", "Joseph Auguste Zadeh"],"assignee_name": "Cisco Technology Inc","assignee_country": "US","cpc_classes": ["G06N20/00", "G06N3/08", "H04L63/1416", "G06F21/55"],"abstract_excerpt": "A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is big data driven and employs machine learning to perform security analytics...","claims_count": 22,"citations_count": 3,"is_ai_related": true,"is_software": true,"pdf_url": "https://patentimages.storage.googleapis.com/pdfs/US12438891B1.pdf","google_patents_url": "https://patents.google.com/patent/US12438891B1/en","data_source": "google_patents"}
That single record gives you everything to:
- Track a competitor's weekly grant velocity (
assignee_name+date_range: week) - Build a quarterly AI-patent dashboard (
ai_only: true+date_range: quarter— equivalent of runningdate_range: monththree times) - Surface freedom-to-operate risks for an R&D team's new feature (search by
keywordsof the contested feature) - Build an M&A diligence patent-portfolio inventory (
assignee_nameof the target,date_range: year) - Power a litigation-watch dashboard — newly granted patents in a CPC class your client is being sued under
- Run patent-econometrics studies (
claims_count,citations_count,cpc_classes) - Feed a hedge fund's R&D-momentum signal (which companies are filing the most software / AI patents and how is the cadence trending)
Input filters
| Input | Type | Description |
|---|---|---|
keywords | string list | Free-text search across title + abstract. Multi-word entries treated as exact phrases. OR'd together. |
assignee_name | string | Partial match on the company / institution holding the grant. Case-insensitive. |
date_range | enum | today / week / month / year / all — grant-date window. |
cpc_class | string | CPC code at any level — G (section), G06N (class), G06N3/08 (subgroup). |
ai_only | boolean | Filter to patents flagged AI / ML via keyword heuristic + G06N* CPC. |
limit | integer | Max records to emit (1-5000). |
enrich_details | boolean | If true, fetch each patent's detail page to populate cpc_classes, claims_count, citations_count, full abstract. Default true. |
CPC class quick-reference (top sections for tech filers)
| CPC | Coverage | Typical assignees |
|---|---|---|
G06N | Computing arrangements based on specific computational models (AI / ML / neural nets) | Google, Meta, NVIDIA, OpenAI, Anthropic |
G06F | Electric digital data processing (general software) | Microsoft, Apple, Oracle, IBM |
G06Q | Data processing for business/finance/management (fintech, e-commerce, ad-tech) | Visa, Mastercard, Amazon, Salesforce |
H04L | Transmission of digital information (networking, comms, blockchain) | Cisco, Ericsson, Qualcomm |
H04W | Wireless networks (5G, WiFi) | Qualcomm, Samsung, Huawei, Apple |
A61K | Pharmaceutical compositions | Pfizer, Merck, Moderna, Genentech |
C12N | Microorganisms / biotech (CRISPR, gene editing) | Broad Institute, MIT, biotech startups |
H01M | Batteries / fuel cells / capacitors | Tesla, Panasonic, CATL, LG Chem |
H01L | Semiconductor devices | TSMC, Intel, Samsung, SK Hynix |
B60W | Vehicle systems (ADAS, autonomous driving) | Tesla, Waymo, GM, Mobileye |
Combine cpc_class: G06N + date_range: week for a weekly AI grants feed. Combine cpc_class: C12N + date_range: month for monthly biotech grants. Combine cpc_class: H01M + assignee_name: Tesla for Tesla's latest battery patents.
Use cases for the buyer pool
IP law firms / patent prosecutors
Daily fresh pull filtered by the client's CPC classes. Monitor competing assignees' filing cadence. Identify newly granted patents that may impact ongoing prosecution strategy. Replace your manual weekly USPTO bulk-download workflow with a JSON feed routed straight to your docketing system.
Competitive intelligence / corporate IP departments
Track every new grant by your top 20 competitors. Set up a daily scheduled task in Apify with assignee_name: <competitor> + date_range: week. The Wednesday-morning report lands in your Slack via the CI team's Apify-webhook integration before the legal team's standup.
M&A diligence teams
Acquisition target's full patent portfolio in 30 seconds: assignee_name: <target> + date_range: year + limit: 5000. Cross-reference with the target's claimed innovation pipeline. Identify whether their stated AI / biotech / hardware moat is real or marketing fluff. Add the resulting JSON to your data-room workbook.
AI / biotech / hardware venture capital
Pre-vet a portfolio startup's claimed IP before lead-check signature. Confirm their team's named inventor history. Surface adjacent assignees in the same CPC subgroup to map the competitive landscape. Track AI-grant velocity industry-wide via ai_only: true to time fund deployments to AI-grant cycle peaks.
Tech-trend researchers / industry analysts
Quarterly AI-grants benchmark: pull ai_only: true + date_range: quarter for the trailing four quarters, plot the curve. The shape of that curve is one of the half-dozen most-watched leading indicators of where corporate R&D dollars are flowing. Goldman, Morgan Stanley, Gartner, IDC, and CB Insights all publish reports based on substantially the same data — you can do it yourself for 1% of the cost.
Litigation watch / patent troll early-warning
Patent assertion entity (PAE) filings cluster in specific CPC subgroups. Monitor those subgroups weekly for newly granted patents being assigned to known PAE shell entities. Pre-position your defensive strategy 6-18 months before an infringement letter lands.
R&D / freedom-to-operate (FTO)
Before shipping a new feature, run keywords: ["<feature description>"] + date_range: year to surface fresh patents in your space. Catch FTO risks before they catch you. Cross-reference each hit's CPC classes with your existing patent portfolio's CPC classes to map gaps.
Pharma / biotech compound watch
Drug development teams use cpc_class: A61K + keywords: ["<compound or mechanism>"] to watch for newly granted compositions, formulations, and method-of-use patents in their therapeutic area. Critical for both ANDA Paragraph IV strategy and originator IP exclusivity planning.
Pricing — pay per patent record
| Event | Cost |
|---|---|
| Actor start | $0.01 |
| Per patent record returned | $0.10 |
A 5-record smoke test costs $0.51 total. A 100-record daily competitive-intel sweep costs $10.01/day or roughly $3,600/year — about 12% of a single LexisNexis PatentSight seat ($30k/yr), with full programmatic access and zero seat licensing.
Patent records are priced at $0.10 each (5x our regional stock screeners at $0.02 and 2x our SEC Form 4 at $0.10) because each patent is a discrete, high-value, defensible asset. A single granted patent in a hot CPC subgroup can drive a 6-figure litigation outcome, a 7-figure licensing deal, or a 9-figure M&A repricing. We anchor price to event value, not byte count.
Data sources & methodology
Primary: Google Patents search index. Google Patents indexes every newly granted USPTO patent within ~24 hours of publication via the USPTO Bulk Data Service feed. The Google Patents JSON XHR endpoint returns structured records with patent number, title, abstract snippet, primary inventor, primary assignee, grant date, priority date, filing date, and PDF link. We hit the search endpoint with your filters and paginate as needed.
Enrichment: per-patent detail pages. When enrich_details: true (default), the actor fetches each patent's Google Patents detail page and extracts the full CPC class list, the claims count (via id="CLM-NNNNN" anchor count on the rendered claims block), the forward-citation count (Cited by marker), and the full abstract. Detail enrichment doubles run time but produces a far richer record. For high-volume scans where only the search-result fields are needed, set enrich_details: false.
Classification heuristics:
is_ai_relatedfires if (a) the title or abstract contains any of ~30 AI / ML keywords (machine learning,neural network,transformer,large language model,generative AI, etc.) or (b) any CPC class starts withG06N(computing arrangements based on specific computational models — the canonical AI/ML CPC class).is_softwarefires if the title / abstract contains software-specific terms (computer-implemented,API,algorithm, etc.) or any CPC class isG06F,G06Q, orH04L.
Underlying data validity. Every record carries google_patents_url and pdf_url so you can audit the source patent in two clicks. Patent numbers are canonical USPTO publication numbers (e.g. US12438891B1) — paste them straight into PAIR (Patent Application Information Retrieval) or Public PAIR for the official wrapper.
Coverage scope. US-issued utility patents and design patents are returned. We default to country=US and status=GRANT to exclude pre-grant publications (kind code A1) and non-USPTO grants. Set date_range: all to remove the time-window and pull arbitrary historical grants back to ~1976 (the start of USPTO's full-text database).
How to run
Apify Console — paste your filter inputs, hit Run, download the dataset as JSON or CSV.
Apify API (Python):
from apify_client import ApifyClientclient = ApifyClient("YOUR_TOKEN")run = client.actor("nexgendata/uspto-patent-grants").call(run_input={"keywords": ["large language model", "transformer"],"assignee_name": "","date_range": "month","cpc_class": "G06N","ai_only": True,"limit": 100,"enrich_details": True})for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item["patent_number"], "—", item["assignee_name"],"—", item["patent_title"][:80], "—", item["claims_count"], "claims")
Schedule it — Apify Scheduled Tasks. The USPTO publishes new grants every Tuesday morning ET, so a Tuesday 09:00 ET schedule captures the fresh weekly drop. For competitive-intel use cases, run nightly with date_range: today and pipe the diff into Slack / Notion / a Snowflake table.
FAQ
How fresh is the data? Google Patents typically indexes new USPTO grants within 12-24 hours of the official Tuesday publication. The actor pulls live from the Google Patents search index — no caching layer in between.
What about pending (not-yet-granted) applications? This actor returns granted patents only (status=GRANT). For pre-grant publications (kind code A1 — applications published 18 months after filing, before grant), use our uspto-patent-applications actor (coming soon). For provisional applications, those are not published by USPTO until / unless they convert to a non-provisional filing.
Can I get the full claims text? Currently claims_count is emitted but the full claims text is not — it would push payload size 10-50x and isn't reliably extractable from the search-result JSON. For the full claims, follow the google_patents_url or pdf_url in each record.
Does it cover design patents and plant patents? Utility and design patents are returned (USPTO publication numbers starting with US plus 7-8 digits). Plant patents (USPP prefix) are included if they match your search. Reissue patents (USRE prefix) are included. Provisional applications are excluded (they're not published).
Does it work for non-US jurisdictions (EP, WO, CN)? This actor restricts to US patents (country=US). For European patents use our roadmap EPO actor; for WIPO PCT applications use the WIPO Patentscope actor; for Chinese patents use CNIPA-direct via our China actor fleet.
Why CPC and not USPC? USPTO retired its legacy US Patent Classification (USPC) system in 2015 and now classifies all new grants in CPC (Cooperative Patent Classification, the joint USPTO-EPO standard). All modern grants carry CPC codes; USPC is legacy-only.
How do I find the CPC code I want? Search the CPC scheme at https://www.uspto.gov/web/patents/classification/cpc/html/cpc.html or use the Google Patents UI to find a representative patent in your area, note its CPC, and use that as your filter.
Can I monitor multiple assignees simultaneously? Run the actor once per assignee in parallel via the Apify API; or use keywords to OR-search across assignee names embedded as keywords (less precise but faster). For systematic competitive-intel workflows we recommend the parallel-call pattern with a scheduled task per competitor.
NexGenData vs. paid patent intelligence platforms
| Tool | Annual cost | API access | USPTO coverage | AI classification |
|---|---|---|---|---|
| LexisNexis PatentSight | ~$30,000/seat | Paid add-on | Full | Manual taxonomy |
| Clarivate Derwent Innovation | ~$25,000/seat | Paid add-on | Full | Editorial tagging |
| Patsnap | ~$15,000/seat | Paid add-on | Full | AI-tagged |
| Questel Orbit Intelligence | ~$20,000/seat | Paid add-on | Full | Topic clustering |
| NexGenData USPTO Patent Grants | Pay-per-result | Native (REST + MCP) | Full USPTO | CPC + keyword AI flag |
Run this actor at 100 records/day, 250 trading days/year, and your annual cost is approximately $3,600 — an 85-93% discount vs. the major paid alternatives, with no seat licensing, no minimum commitment, and full programmatic access via Apify's REST API or any of 1,500+ MCP / no-code / Zapier / Make integrations.
The trade-offs vs. the paid platforms:
- ✅ Same primary source data (USPTO grants via Google Patents index — Google Patents is the same data underneath several of the paid platforms' UIs).
- ✅ Same CPC classification — the global standard.
- ✅ Full programmatic access — no rate limits, no per-seat licensing.
- ❌ No proprietary "patent quality score" — but we emit
claims_count+citations_count, the two raw signals the proprietary scores wrap. - ❌ No built-in family graph (related applications across jurisdictions) — for global patent families, layer this actor with our roadmap EPO + WIPO actors.
- ❌ No litigation tagging / standards-essential-patent (SEP) flagging — we emit the raw patent record; pair with a litigation database for the overlay.
For 80% of patent-monitoring workflows — competitive cadence tracking, FTO checks, M&A diligence, R&D trend research — this actor is functionally equivalent to the paid platforms at 7-15% of the cost.
Built by NexGenData
We build data infrastructure for global financial, legal, and IP intelligence desks. 220+ actors live on Apify covering global equities, IPOs, SEC filings, institutional holdings, M&A, patents, B2B intelligence, and MCP servers for LLM integration. Patent data complements our broader IP-and-legal stack — combine this actor with our SEC filings trackers, IPO Tracker, and institutional-holdings actors to build a fully connected IP-through-public-markets data pipeline.
Explore the NexGenData IP & Capital Markets Suite
Patent data sits at the intersection of R&D, capital markets, and corporate strategy. Pair the USPTO Patent Grants Tracker with NexGenData's IPO, institutional-holdings, activist, and startup-funding trackers to build a fully connected R&D-through-public-markets pipeline:
Institutional capital intelligence
- 🔗 SEC Form 13F Holdings Tracker — Quarterly hedge-fund and mutual-fund positions. Cross-reference patent-grant velocity with institutional accumulation.
- 🔗 SEC Schedule 13D/G Activist Tracker — 5%+ activist positions. Detect activists targeting patent-rich tech / biotech companies.
Capital-markets lifecycle
- 🔗 IPO Tracker — Recent and upcoming IPOs. Combine with this actor to inventory the S-1 issuer's full patent portfolio at filing time.
- 🔗 Startup Funding Tracker — Pre-IPO funding rounds. Tie each round to the company's named inventor history.
Developer / tech-trend leading indicators
- 🔗 GitHub Trending Repos — Daily GitHub-velocity ranking. Patent grants are a lagging IP signal; GitHub trends are a leading R&D signal. Combine the two to map the full innovation pipeline.
Multi-asset / specialty
- 🔗 Finance MCP Server — Unified Model Context Protocol server exposing the full NexGenData IP and capital-markets fleet to Claude, Cursor, and any MCP-aware LLM client.
Browse the full NexGenData catalog
→ See all 220+ NexGenData actors at apify.com/nexgendata — IP intelligence, equity screeners across 25+ markets, IPO + pre-IPO trackers, SEC filings, institutional holdings, B2B intelligence, MCP servers, and more.
Quick Comparison vs. Paid Incumbents
How this actor stacks up against the platforms patent and competitive-intelligence teams pay six figures for:
| Capability | NexGenData USPTO Patent Grants Tracker | Bloomberg Terminal | PitchBook | Crunchbase Pro | Refinitiv |
|---|---|---|---|---|---|
| Annual cost | Pay-per-result (~$3,600 typical) | $24k+/seat | $30–80k/seat | $24k+/seat | $22k+/seat |
| Dedicated USPTO patent grants feed | Yes — native, full history | Indirect / news | Indirect / news | Indirect / news | Indirect / news |
| CPC classification + AI flag emitted per row | Yes | No | No | No | No |
| Programmatic API (REST + MCP) | Yes — included | Paid add-on | Paid add-on | Paid add-on | Paid add-on |
| Seat license / annual minimum | None | $24k+ | $30k+ | $7k+ | $22k+ |
| Self-service, no sales call | Yes | No | No | Partial | No |
For 80% of patent-monitoring workflows — competitive cadence tracking, FTO checks, M&A diligence, R&D trend research — this actor delivers parity coverage at 5–15% of incumbent cost.
Quick Comparison vs. Paid Incumbents
How this actor stacks up against the platforms patent and competitive-intelligence teams pay six figures for:
| Capability | NexGenData USPTO Patent Grants Tracker | Bloomberg Terminal | PitchBook | Crunchbase Pro | Refinitiv |
|---|---|---|---|---|---|
| Annual cost | Pay-per-result (~$3,600 typical) | $24k+/seat | $30–80k/seat | $24k+/seat | $22k+/seat |
| Dedicated USPTO patent grants feed | Yes — native, full history | Indirect / news | Indirect / news | Indirect / news | Indirect / news |
| CPC classification + AI flag emitted per row | Yes | No | No | No | No |
| Programmatic API (REST + MCP) | Yes — included | Paid add-on | Paid add-on | Paid add-on | Paid add-on |
| Seat license / annual minimum | None | $24k+ | $30k+ | $7k+ | $22k+ |
| Self-service, no sales call | Yes | No | No | Partial | No |
For 80% of patent-monitoring workflows — competitive cadence tracking, FTO checks, M&A diligence, R&D trend research — this actor delivers parity coverage at 5–15% of incumbent cost.
🚀 Apify affiliate program — Get free credits & save 30%
Sign up to Apify via our referral link and you'll get:
- Free starter credits to test this actor and the rest of our 220+ actor fleet
- 30% off platform fees for the life of your account
→ Sign up here with NexGenData's affiliate link — same Apify, same actors, just cheaper for you and a small kickback that helps us keep building.
Built and maintained by NexGenData — institutional-grade IP, equity, IPO, SEC filings, and B2B data infrastructure on Apify.