The Google Patents API allows to access patent information. It provides details such as patent titles, inventors, assignees, publication dates, priority dates, and more. The API can be used to search for patents based on various criteria, including keywords, patent numbers, and classification codes.

API Parameters

Search Query

  • Name
    q
    Required
    Required
    Description

    Parameter defines the query you want to search. You can use anything that you would use in a regular Google Patents search. e.g. AND, OR. For example (ChatGPT OR GPT-4).
    For multiple queries, split them with semicolon ;. For example: ChatGPT;GPT-4.
    For more advanced syntax, refer to the official Google documentation on Google Patents search query syntax.

Localization

  • Name
    countries
    Required
    Optional
    Description

    Parameter filters results by country. Use the ISO 3166-1 alpha-2 country code, e.g., US for the United States, DE for Germany. To use multiple countries, separate them with a comma ,. For example: US,DE. Check the full list of supported Google Patents countries.

  • Name
    language
    Required
    Optional
    Description

    Parameter filters results by language. To specify multiple languages, separate them with a comma ,. For example: SWEDISH,ITALIAN
    Supported languages include: ARABIC, CHINESE, DANISH, DUTCH, ENGLISH, FINNISH, FRENCH, GERMAN, ITALIAN, JAPANESE, KOREAN, NORWEGIAN, PORTUGUESE, RUSSIAN, SPANISH, SWEDISH.

Filters

  • Name
    patent_status
    Required
    Optional
    Description

    Parameter filters patent results by status. Use GRANT for granted patents and APPLICATION for patent applications.

  • Name
    patent_type
    Required
    Optional
    Description

    Parameter filters patent results by type. Use PATENT for patents, DESIGN for design patents.

  • Name
    litigation
    Required
    Optional
    Description

    Parameter filterss patent results by litigation status. Use YES to include results with related litigation, NO to exclude them.

  • Name
    clustered
    Required
    Optional
    Description

    Parameter groups the results by classification. Set the value to true to enable clustering.

  • Name
    dups
    Required
    Optional
    Description

    arameter defines how duplicates are handled. The default value is family. Alternatively, use language to filter duplicates based on publication.

  • Name
    sort
    Required
    Optional
    Description

    Parameter controls the sorting order. The default is relevance. Other options include:

    • new - Sort by filing date for patents, and by publication date for scholarly results.
    • old - Sort by filing date for patents, and by publication date for scholarly results, in ascending order.

  • Name
    patents
    Required
    Optional
    Description

    Parameter controls the inclusion of patent results. Set to false to exclude patents. Default value is true.

  • Name
    scholar
    Required
    Optional
    Description

    Parameter controls the inclusion of scholarly results. Set to true to include scholarly results. Default value is false.

  • Name
    inventor
    Required
    Optional
    Description

    Parameter filters results by inventor names. To specify multiple inventors, separate them with a comma ,. For example: John Doe,Jane Doe.

  • Name
    assignee
    Required
    Optional
    Description

    Parameter filters results by assignee names. To specify multiple assignees, separate them with a comma ,. For example: Apple Inc,Google LLC.

  • Name
    before
    Required
    Optional
    Description

    Parameter restricts results to those published before a specific date. The date must be in the format YYYYMMDD. You can specify a type of date by prefixing it, e.g., publication:20220101.
    Supported date types include: priority, filing, publication.

  • Name
    after
    Required
    Optional
    Description

    Parameter restricts results to those published after a specific date. The date must be in the format YYYYMMDD. You can specify a type of date by prefixing it, e.g., publication:20220101.
    Supported date types include: priority, filing, publication.

Pagination

  • Name
    num
    Required
    Optional
    Description

    This parameter specifies the number of results to display per page. By default, it is set to 10. Use in combination with the page parameter to implement pagination functionality. Max num per page is 100, min - 10.

  • Name
    page
    Required
    Optional
    Description

    This parameter indicates which page of results to return. By default, it is set to 1. Use in combination with the num parameter to implement pagination.

Engine

  • Name
    engine
    Required
    Required
    Description

    Parameter defines an engine that will be used to retrieve real-time data. It must be set to google_patents.

API key

  • Name
    api_key
    Required
    Required
    Description

    The api_key authenticates your requests. Use it as a query parameter (https://www.searchapi.io/api/v1/search?api_key=YOUR_API_KEY) or in the Authorization header (Bearer YOUR_API_KEY).

API Examples

Full Response

Full Response
GET
https://www.searchapi.io/api/v1/search?engine=google_patents&q=ChatGPT
Request
import requests

url = "https://www.searchapi.io/api/v1/search"
params = {
  "engine": "google_patents",
  "q": "ChatGPT"
}

response = requests.get(url, params = params)
print(response.text)
Response
{
  "search_metadata": {
    "id": "search_YzO8NlMJg5M9UVvgnBvQxXR0",
    "status": "Success",
    "created_at": "2024-02-23T00:26:31Z",
    "request_time_taken": 1.72,
    "parsing_time_taken": 0.01,
    "total_time_taken": 1.73,
    "request_url": "https://patents.google.com/xhr/query?url=q%3DChatGPT",
    "html_url": "https://www.searchapi.io/api/v1/searches/search_YzO8NlMJg5M9UVvgnBvQxXR0.html",
    "json_url": "https://www.searchapi.io/api/v1/searches/search_YzO8NlMJg5M9UVvgnBvQxXR0"
  },
  "search_parameters": {
    "engine": "google_patents",
    "q": "ChatGPT"
  },
  "search_information": {
    "total_results": 3164,
    "total_pages": 100,
    "page_number": 1
  },
  "organic_results": [
    {
      "position": 1,
      "rank": 0,
      "patent_id": "patent/CN116977558A/en",
      "title": "Three-dimensional model updating method and device, computer equipment and …",
      "snippet": "The corresponding three-dimensional model is generated according to modeling requirements, so that the three-dimensional model participates in an actual design process, a BIM engineer can automatically generate the three-dimensional model only by proposing requirements, the ChatGPT model provides …",
      "priority_date": "2023-07-28",
      "filing_date": "2023-07-28",
      "publication_date": "2023-10-31",
      "inventor": "于琦",
      "assignee": "中国长江三峡集团有限公司",
      "publication_number": "CN116977558A",
      "language": "en",
      "pdf": "https://patentimages.storage.googleapis.com/11/3b/de/361e9da6df164a/CN116977558A.pdf",
      "country_status": {
        "CN": "ACTIVE"
      }
    },
    {
      "position": 2,
      "rank": 1,
      "patent_id": "patent/US20240003950A1/en",
      "title": "Detection of electric discharges that precede fires in electrical wiring",
      "snippet": "Described herein are methods and systems for detecting electrical discharges that precede electrical fires in electrical wiring. One or more sensor devices coupled to a circuit detect one or more signal waveforms generated by electrical activity on the circuit. The sensor devices identify one or …",
      "priority_date": "2018-03-20",
      "filing_date": "2023-08-29",
      "publication_date": "2024-01-04",
      "inventor": "Robert S. Marshall",
      "assignee": "Whisker Labs, Inc.",
      "publication_number": "US20240003950A1",
      "language": "en",
      "thumbnail": "https://patentimages.storage.googleapis.com/df/88/ef/7500fc07591c38/US20240003950A1-20240104-D00000.png",
      "pdf": "https://patentimages.storage.googleapis.com/0c/14/1b/80f31b38ad86fa/US20240003950A1.pdf",
      "figures": [
        {
          "thumbnail": "https://patentimages.storage.googleapis.com/37/5f/72/1150b590ca8463/US20240003950A1-20240104-D00000.png",
          "full": "https://patentimages.storage.googleapis.com/9f/0d/59/87c816ec5c41f9/US20240003950A1-20240104-D00000.png"
        },
        ...
      ],
      "country_status": {
        "WO": "UNKNOWN",
        "EP": "ACTIVE",
        ...
      }
    },
    ...
  ],
  "summary": {
    "assignee": [
      {
        "key": "Total",
        "percentage": 100,
        "frequency": [
          {
            "year_range": "2022-2025",
            "percentage": 99.8
          }
        ]
      },
    ],
    "inventor": [
      {
        "key": "Total",
        "percentage": 100,
        "frequency": [
          {
            "year_range": "2022-2025",
            "percentage": 99.8
          }
        ]
      },
      ...
    ]
  },
  "pagination": {
    "current": 1,
    "next": "https://patents.google.com/xhr/query?url=q%3DChatGPT%26page%3D2"
  }
}

Organic Results

Organic Results

Development tips:

  • The Cooperative Patent Classification (CPC) and its description are returned only when the parameter clustered=true is used.

GET
https://www.searchapi.io/api/v1/search?engine=google_patents&q=%28Rocket+science%29%3B%28Space%29
Request
import requests

url = "https://www.searchapi.io/api/v1/search"
params = {
  "engine": "google_patents",
  "q": "(Rocket science);(Space)"
}

response = requests.get(url, params = params)
print(response.text)
Response
{
  "organic_results": [
    {
      "position": 2,
      "rank": 1,
      "patent_id": "patent/US10963735B2/en",
      "title": "Methods for object recognition and related arrangements",
      "snippet": "that further includes, after said estimating act, comparing profile information derived from the query data with profile information corresponding to objects in said subset of candidate 3D objects, to identify a further-reduced search space of candidate 3D reference objects to which the query data …",
      "priority_date": "2013-04-11",
      "filing_date": "2018-06-01",
      "grant_date": "2021-03-30",
      "publication_date": "2021-03-30",
      "inventor": "Geoffrey B. Rhoads",
      "assignee": "Digimarc Corporation",
      "publication_number": "US10963735B2",
      "language": "en",
      "thumbnail": "https://patentimages.storage.googleapis.com/13/96/5b/88da3b7d215dbd/US10963735-20210330-D00000.png",
      "pdf": "https://patentimages.storage.googleapis.com/f6/a8/dd/cc854f61ca7c1e/US10963735.pdf",
      "figures": [
        {
          "thumbnail": "https://patentimages.storage.googleapis.com/d4/82/8a/6c70b2dec3bbff/US10963735-20210330-D00000.png",
          "full": "https://patentimages.storage.googleapis.com/8c/aa/d4/34c4a5af8d287b/US10963735-20210330-D00000.png"
        },
        ...
      ],
      "country_status": {
        "WO": "ACTIVE",
        "US": "ACTIVE"
      }
    }
    ...
  ]
}

Summary

Summary
GET
https://www.searchapi.io/api/v1/search?engine=google_patents&q=Rocket+Science
Request
import requests

url = "https://www.searchapi.io/api/v1/search"
params = {
  "engine": "google_patents",
  "q": "Rocket Science"
}

response = requests.get(url, params = params)
print(response.text)
Response
{
  "summary": {
    "assignee": [
      {
        "key": "Total",
        "percentage": 100,
        "frequency": [
          {
            "year_range": "2022-2025",
            "percentage": 4.6
          },
          ...
        ]
      },
      {
        "key": "C4Cast.Com, Inc.",
        "percentage": 0.4,
        "frequency": [
          {
            "year_range": "2013-2016",
            "percentage": 0.1
          },
          ...
        ]
      },
      {
        "key": "Aerojet-General Corporation",
        "percentage": 0.1,
        "frequency": [
          {
            "year_range": "2007-2010",
            "percentage": 0.1
          },
          ...
        ]
      },
      ...
    ],
    "inventor": [
      {
        "key": "Total",
        "percentage": 100,
        "frequency": [
          {
            "year_range": "2022-2025",
            "percentage": 4.6
          },
          ...
        ]
      },
      {
        "key": "m harmata",
        "percentage": 2.5,
        "frequency": [
          {
            "year_range": "2019-2022",
            "percentage": 2.9
          }
        ]
      },
      ...
    ],
    "cpc": [
      {
        "key": "Total",
        "percentage": 100,
        "frequency": [
          {
            "year_range": "2022-2025",
            "percentage": 4.6
          },
          ...
        ]
      },
      {
        "key": "G06Q",
        "percentage": 42.7,
        "frequency": [
          {
            "year_range": "2022-2025",
            "percentage": 1.4
          },
          ...
        ]
      },
      ...
    ]
  }
}