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/patents/searchSearch Patents
Search Google Patents: title, number, assignee, inventors, dates, status and abstract snippet.
QUERY PARAMS
What to search for in patents (keywords or a phrase).
Examples:
machine learningsolid state battery
Results page to fetch (1-based).
Default: 1
Allowed values: 1-100
Results per page.
Default: 10
Allowed values: 10, 25, 50, 100
Result order.
Default: relevance
Allowed values: relevance, newest, oldest
Grant status.
Allowed values: any, granted, application
Patent type.
Allowed values: any, patent, design
Only patents dated on or after this day (YYYY-MM-DD), by date_field.
Only patents dated on or before this day (YYYY-MM-DD), by date_field.
Which date after / before apply to.
Default: priority
Allowed values: priority, filing, publication
Only patents naming this inventor.
Only patents assigned to this company or person.
Example: Apple Inc.
Only patents from this patent office (2-letter code).
Allowed values: US, EP, WO, CN, JP, KR, DE, ...
Only patents written in this language.
Allowed values: ENGLISH, GERMAN, CHINESE, FRENCH, SPANISH, ARABIC, JAPANESE, KOREAN, PORTUGUESE, RUSSIAN, ITALIAN, DUTCH, SWEDISH, FINNISH, NORWEGIAN, DANISH
Only patents with litigation history.
Allowed values: true, false
{
"count": 119420,
"per_page": 10,
"current_page": 1,
"total_pages": 11942,
"next": "https://google-search-scraper.omkar.cloud/google-search/patents/search?query=machine+learning&page=2",
"previous": null,
"query": "machine learning",
"filters": {
"before": null,
"after": null,
"date_field": "priority",
"inventor": null,
"assignee": null,
"country": null,
"language": null,
"status": null,
"type": null,
"sort": "relevance",
"litigation": null
},
"patents": [
{
"id": "US12438891B1",
"title": "Anomaly detection based on ensemble machine learning model",
"link": "https://patents.google.com/patent/US12438891B1/en",
"snippet": "accessing the entity profile to read the plurality of features scores for the entity; processing the plurality of feature scores for the entity, accessed from the entity profile, by using a plurality of machine-learning models; generating a plurality of intermediate anomaly scores for the entity, …",
"language": "en",
"inventors": [
"Sudhakar Muddu"
],
"assignees": [
"Splunk Inc."
],
"dates": {
"priority": "2015-08-31",
"filing": "2022-02-18",
"publication": "2025-10-07",
"grant": "2025-10-07"
},
"pdf_link": null,
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{
"id": "KR102928305B1",
"title": "System, method and apparatus for machine learning",
"link": "https://patents.google.com/patent/KR102928305B1/en",
"snippet": "A machine learning system in which the second learning device trains the second artificial neural network using at least one feature of the second input data and a label for the second input data as training data. In Article 13, A machine learning system, wherein the first running device comprises …",
"language": "en",
"inventors": [
"김남준"
],
"assignees": [
"엘지전자 주식회사"
],
"dates": {
"priority": "2019-07-05",
"filing": "2019-07-05",
"publication": "2026-02-13",
"grant": "2026-02-13"
},
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"position": 10
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]
}