Patent Intelligence Tracker — Google Patents Search & Monitor

What does Google Patents Scraper do?

Google Patents Scraper searches and extracts structured patent data from Google Patents — covering 150M+ documents from the USPTO, EPO, WIPO, and 100+ national patent offices worldwide. Filter patents by keyword, assignee (company), inventor, publication date range, and CPC classification code. Optionally extract the full abstract and full claims text for each result. At the end of every run the actor delivers an analytics summary: top assignees, filings by year, top jurisdictions, and top CPC groups. No API key or Google account required.

This is the most accessible patent data extractor available — replacing enterprise patent intelligence platforms that charge $10,000–$20,000/year for the same underlying data, at $0.003 per patent.

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Why use Google Patents Scraper?

1. Competitor R&D monitoring — Set assignee to a rival company and schedule daily runs to see exactly what they are patenting in real time. Track their technology bets before they announce product launches.
2. Freedom-to-operate (FTO) research — Search your product's technology area by keyword and CPC code, then pull full claims to identify blocking patents before you ship. This USPTO patent search API alternative returns the same underlying data at a fraction of the cost.
3. Investment due diligence — Evaluate a startup's patent moat by counting filings, reading claims, and checking assignee history across jurisdictions. Essential for IP-heavy sectors like biotech, semiconductors, and clean energy.
4. Technology trend analysis — Filter by CPC classification and read the year-over-year filing counts in the run summary to map the velocity of innovation in any technology domain.
5. M&A target identification — Use the top_assignees summary to find the most prolific patent holders in a niche — identifying acquisition targets or licensing partners the market has not yet valued.

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How to use Google Patents Scraper

1. Open the Actor on Apify and click Try for free.
2. Provide at least one filter: keywords, assignee, inventor, or cpcClassification.
3. (Optional) Set dateFrom / dateTo to limit to a date window, and maxResults (up to 1,000).
4. Enable includeAbstract: true for full abstract text (default on). Enable includeClaims: true for full legal claims (slower, larger output).
5. Click Start — results appear in the dataset, plus a run-end analytics summary in the key-value store.
6. Export as JSON/CSV, or read via the Apify API. Schedule weekly runs for ongoing competitor monitoring.

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Input

Field	Type	Default	Description
keywords	string	—	Technology keyword search, e.g. transformer neural network, solid state battery. At least one of keywords / assignee / inventor / cpcClassification required.
assignee	string	—	Company or organization that owns the patents, e.g. Apple, Moderna, Samsung.
inventor	string	—	Inventor name, e.g. Geoffrey Hinton.
dateFrom	string	—	Publication date range start (YYYY-MM-DD).
dateTo	string	—	Publication date range end (YYYY-MM-DD).
cpcClassification	string	—	CPC code prefix, e.g. G06N (AI/ML), A61K (pharma), H01M (batteries), H04L (networking).
maxResults	integer	100	Maximum patents to return (1–1000).
includeAbstract	boolean	true	Fetch full abstract from each patent page.
includeClaims	boolean	false	Fetch full claims text (slower, larger output — for FTO and legal analysis).
proxyConfiguration	object	—	Optional Apify Proxy (residential). Enable only if rate-limited.

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Output

Each patent is one dataset item:

[
  {
    "patent_number": "US11126475B2",
    "title": "Systems and methods to use neural networks to transform a model into a neural network model",
    "assignees": ["DeepMind Technologies Limited"],
    "inventors": ["Jane Doe", "John Smith"],
    "priority_date": "2019-01-01",
    "filing_date": "2019-02-01",
    "grant_date": "2021-09-21",
    "publication_date": "2021-09-21",
    "countries": ["US", "EP", "CN"],
    "snippet": "…a neural network model that transforms legacy models into…",
    "abstract": "Systems and methods for transforming legacy models into neural network representations using learned transformation functions…",
    "cpc_codes": ["G06N3/08", "G06N3/04", "G06F9/541"],
    "pdf_url": "https://patentimages.storage.googleapis.com/…/US11126475B2.pdf",
    "patent_url": "https://patents.google.com/patent/US11126475B2/en",
    "source": "Google Patents"
  },
  {
    "patent_number": "EP3876198A1",
    "title": "Method for producing mRNA-based vaccine compositions",
    "assignees": ["Moderna TX, Inc."],
    "inventors": ["Katalin Karikó"],
    "publication_date": "2021-09-15",
    "countries": ["EP", "US", "WO"],
    "patent_url": "https://patents.google.com/patent/EP3876198A1/en",
    "source": "Google Patents"
  }
]

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Data fields

Field	Example	Description
patent_number	US11126475B2	Patent number with kind code
title	Systems and methods…	Patent title
assignees	["DeepMind…"]	Patent assignees (current owners)
inventors	["Jane Doe"]	Listed inventors
priority_date	2019-01-01	Earliest priority date
filing_date	2019-02-01	Application filing date
grant_date	2021-09-21	Grant date (if granted)
publication_date	2021-09-21	Publication date
countries	["US","EP","CN"]	Jurisdictions in this patent family
snippet	…neural network…	Short text snippet from search results
abstract	Full text	Full abstract (when includeAbstract: true)
claims	Full text	Full legal claims (when includeClaims: true)
cpc_codes	["G06N3/08"]	CPC classification codes
pdf_url	https://patentimages…	Link to PDF download
patent_url	https://patents.google.com/…	Google Patents page URL

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Cost estimation

Pay-Per-Event pricing

Event	Price
Actor start (one-time per run)	$0.005
Per patent returned	$0.003

Run type	Patents	Estimated cost
Quick competitor scan	50	$0.155
Standard FTO search	100	$0.305
Technology landscape	500	$1.505
Full portfolio audit	1,000	$3.005

Cost comparison with commercial patent intelligence platforms:

Platform	Typical annual cost
Clarivate Derwent Innovation	$15,000+/year
PatSnap	$20,000+/year
Questel Orbit	$10,000+/year
Google Patents Scraper	$0.003 per patent

1,000 patents for $3. No seats, no annual contract, no sales call.

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FAQ

Does this require a Google account or API key? No. This Google Patents scraper queries the public patents.google.com search interface. No Google account, no API key, no registration. Run it immediately.

How does this compare to the USPTO patent search API or EPO Open Patent Services? The USPTO patent search API and EPO OPS only cover their respective jurisdictions. Google Patents aggregates 150M+ documents from 100+ patent offices into one unified, deduplicated search index covering US, EP, WO, CN, JP, KR, and more — making it the most comprehensive single source for global patent intelligence. This actor exposes that index as a structured patent data extractor at $0.003 per result.

Can I use this for legal freedom-to-operate (FTO) analysis? Yes, but with caveats. Enable includeClaims: true to pull the full legal claims text for each patent. Claims define the legal scope of the patent. The actor also returns all jurisdictions in each patent family so you know where protection applies. However, FTO analysis for legal purposes should always be reviewed by a qualified patent attorney — this tool accelerates research, not legal opinion.

Disclaimer: This actor extracts publicly available data from Google Patents. It is not affiliated with, endorsed by, or operated by Google LLC. Patent data is provided for research and informational purposes only. For legal freedom-to-operate opinions, consult a qualified patent attorney.

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Keywords: Google Patents scraper, patent data extractor, USPTO patent search API, patent intelligence tracker, competitor R&D monitoring, freedom-to-operate research, FTO patent search, patent portfolio analysis, CPC classification search, IP research tool, patent landscape analysis