Google 專利詳情 API

Google 專利詳情 API 允許您從 Google 專利獲取專利或學術成果的詳細資訊。API 透過以下端點存取：/search?engine=google_patents_details。

API 詳情

端點GET https://serpapi.abcproxy.com/search

描述
使用者可透過 GET 請求查詢：https://serpapi.abcproxy.com/search?engine=google_patents_details。前往工作臺查看互動式即時演示。

請求

HTTP 請求

curl -X GET "https://serpapi.abcproxy.com/search" \
  -d "engine=google_patents_details" \
  -d "patent_id=patent/US11734097B1/en" \
  -d "no_cache=false" \
  -d "api_key=YOUR_API_KEY"

import requests

params = {
    "engine": "google_patents_details",
    "patent_id": "patent/US11734097B1/en",
    "no_cache": "false",
    "api_key": "YOUR_API_KEY"
}
response = requests.get("https://serpapi.abcproxy.com/search", params=params)
print(response.json())

const axios = require('axios');

const params = {
  engine: "google_patents_details",
  patent_id: "patent/US11734097B1/en",
  no_cache: "false",
  api_key: "YOUR_API_KEY"
};

axios.get("https://serpapi.abcproxy.com/search", { params })
  .then(response => console.log(response.data));

<?php
$client = new \GuzzleHttp\Client();
$response = $client->get('https://serpapi.abcproxy.com/search', [
    'query' => [
        'engine' => 'google_patents_details',
        'patent_id' => 'patent/US11734097B1/en',
        'no_cache' => 'false',
        'api_key' => 'YOUR_API_KEY'
    ]
]);
echo $response->getBody();

package main

import (
    "net/http"
    "io/ioutil"
    "log"
)

func main() {
    client := &http.Client{}
    req, _ := http.NewRequest("GET", "https://serpapi.abcproxy.com/search", nil)
    
    q := req.URL.Query()
    q.Add("engine", "google_patents_details")
    q.Add("patent_id", "patent/US11734097B1/en")
    q.Add("no_cache", "false")
    q.Add("api_key", "YOUR_API_KEY")
    req.URL.RawQuery = q.Encode()

    resp, _ := client.Do(req)
    body, _ := ioutil.ReadAll(resp.Body)
    log.Println(string(body))
}

using System;
using System.Net.Http;

class Program
{
    static async Task Main()
    {
        var client = new HttpClient();
        var query = System.Web.HttpUtility.ParseQueryString(string.Empty);
        query["engine"] = "google_patents_details";
        query["patent_id"] = "patent/US11734097B1/en";
        query["no_cache"] = "false";
        query["api_key"] = "YOUR_API_KEY";
        
        var response = await client.GetAsync(
            $"https://serpapi.abcproxy.com/search?{query}"
        );
        Console.WriteLine(await response.Content.ReadAsStringAsync());
    }
}

import java.net.*;
import java.io.*;

public class Main {
    public static void main(String[] args) throws Exception {
        String url = "https://serpapi.abcproxy.com/search" +
            "?engine=google_patents_details" +
            "&patent_id=patent%2FUS11734097B1%2Fen" +
            "&no_cache=false" +
            "&api_key=YOUR_API_KEY";
        
        HttpURLConnection conn = (HttpURLConnection) new URL(url).openConnection();
        conn.setRequestMethod("GET");
        
        BufferedReader in = new BufferedReader(
            new InputStreamReader(conn.getInputStream())
        );
        String response = in.lines().collect(Collectors.joining());
        System.out.println(response);
    }
}

參數

搜尋查詢

名稱

類型

必填

描述

範例

patent_id

字符串

是

指定要檢索的專利 ID，可從 Google 專利 API 獲取： - 專利 ID: patent/<公開號>/<雙字母國家代碼>（國家代碼可省略） - 學術 ID: scholar/<學術ID>

Serpapi 參數

名稱

類型

必填

描述

範例

engine

字符串

是

需設為 google_patents_details 使用專利詳情 API

google_patents_details

no_cache

布爾值

否

強制重新抓取結果（即使有緩存）

true 或 false

api_key

字符串

是

SerpApi 私鑰

YOUR_API_KEY

響應

成功 200

響應主體

{
  "code": 200,
  "search_parameters": {
    "engine": "google_patents_details",
    "no_cache": true,
    "api_key": "YOUR_API_KEY",
    "patent_id": "patent/US11734097B1/en"
  },
  "search_metadata": {
    "id": "5e37f1d5-b277-4fb2-b1e5-35e0dc651ff9",
    "json_endpoint": "https://webserp.abcproxy.com/files/de06336b97171f60/5e37f1d5-b277-4fb2-b1e5-35e0dc651ff9.json",
    "created_at": "2025-04-09 11:56:22",
    "google_patents_url": "https://patents.google.com/patent/US11734097B1/en",
    "raw_html_file": "https://webserp.abcproxy.com/files/de06336b97171f60/5e37f1d5-b277-4fb2-b1e5-35e0dc651ff9.html",
    "xray_html_file": "https://webserp.abcproxy.com/files/de06336b97171f60/5e37f1d5-b277-4fb2-b1e5-35e0dc651ff9.xray",
    "total_time_taken": "41.9812"
  },
  "patent_result": {
    "abstract": "An illustrative method includes identifying, based on an output of a machine...",
    "worldwide_applications": {
      "2019": {
        "application_number": "US16/249,534",
        "filing_date": "2019-01-16",
        "legal_status": "Active",
        "country_code": "US",
        "document_id": "patent/US11010233B1/en"
      },
      ...
    },
    "parent_applications": [
      {
        "primary_language": "en",
        "representative_publication": "US11010233B1",
        "priority_date": "2018-01-18",
        "filing_date": "2019-01-16",
        "relation_type": "Continuation",
        "title": "Hardware-based system monitoring",
        "application_number": "US16/249,534"
      }
    ],
    "external_links": [
      {
        "text": "Patent citations (544)",
        "link": "https://patents.google.com#patentCitations"
      },
      ...
    ],
    "events": [
      {
        "type": "filed",
        "title": "Application filed by Pure Storage Inc",
        "date": "2021-01-27"
      },
      ...
    ],
    "non_patent_citations": [
      {
        "title": "\"International Search Report and Written Opinion received in International Application No. PCT/US2022/047039 dated Jan. 30, 2023\"."
      },
      ...
    ],
    "description": "RELATED APPLICATIONS The present application is a continuation application of...",
    "publication_number": "US11734097B1",
    "inventors": [
      {
        "name": "Christopher Golden",
        "link": "https://patents.google.com#"
      },
      ...
    ],
    "assignees": [
      "Pure Storage Inc"
    ],
    "applications_claiming_priority": [
      {
        "title": "Method for storage system detection and alerting on potential malicious action",
        "application_number": "US15/874,719",
        "primary_language": "en",
        "representative_publication": "US11144638B1",
        "filing_date": "2018-01-18"
      },
      ...
    ],
    "patent_citations": {
      "original": [
        {
          "publication_date": "1993-05-04",
          "assignee_original": "Array Technology Corporation",
          "title": "On-line reconstruction of a failed redundant array system",
          "publication_number": "US5208813A",
          "primary_language": "en",
          "priority_date": "1990-10-23"
        },
        {
          "publication_number": "WO1995002349A1",
          "primary_language": "en",
          "priority_date": "1993-07-15",
          "publication_date": "1995-01-26",
          "assignee_original": "Paul Hettich Gmbh & Co.",
          "title": "Locking device for drawers and the like"
        },
        ...
      ]
    },
    "images": [
      "https://patentimages.storage.googleapis.com/b8/36/5a/51c91430de42ca/US11734097-20230822-D00000.png",
      ...
    ],
    "pdf_url": "https://patentimages.storage.googleapis.com/00/a7/59/6750cd74efdf32/US11734097.pdf",
    "filling_date": "2021-01-27",
    "priority_applications": [
      {
        "filing_date": "2021-01-27",
        "title": "Machine learning-based hardware component monitoring",
        "application_number": "US17/160,053",
        "primary_language": "en",
        "representative_publication": "US11734097B1",
        "priority_date": "2018-01-18"
      },
      ...
    ],
    "country": "United States",
    "classifications": [
      {
        "code": "G06F21/554",
        "description": "Detecting local intrusion or implementing counter-measures involving event detection and direct action"
      },
      ...
    ],
    "child_applications": [
      {
        "application_number": "US18/209,789",
        "primary_language": "en",
        "representative_publication": "US20230325272A1",
        "priority_date": "2018-01-18",
        "filing_date": "2023-06-14",
        "relation_type": "Continuation",
        "title": "Hardware Component Monitoring-based Performance of a Remedial Action"
      }
    ],
    "publication_date": "2023-08-22",
    "claims": [
      "1. A method comprising: identifying, by a monitoring system based on an output of a machine learning model that receives data associated with an operation of a hardware component as an input, an anomaly in the data; determining, by the monitoring system, that the anomaly is representative of an issue associated with the hardware component; and performing, by the monitoring system based on the determining that the anomaly is representative of the issue associated with the hardware component, a remedial action that affects a performance of the operation of the hardware component.",
      ...
    ],
    "type": "patent",
    "application_number": "US17/160,053"
  }
}

響應欄位

欄位

類型

描述

search_parameters

對象

包含查詢參數及搜尋上下文

search_metadata

對象

包含時間和狀態資訊

patent_result

對象

詳細專利資訊

錯誤響應

常見錯誤

HTTP 狀態碼

錯誤代碼

描述

200

400

API 金鑰不可為空

200

401

參數錯誤

200

402

API 金鑰錯誤

200

403

餘額不足

200

404

扣費失敗

200

405

用量記錄失敗

200

406

不支援的引擎

200

407

網路錯誤

200

408

檔案不存在

200

429

請求過於頻繁

200

409

限制參數錯誤

200

410

URL 建構錯誤

200

411

查詢記錄失敗

200

412

找不到 JSON

200

413

獲取 HTML 錯誤

200

414

HTML 內容為空

錯誤範例

{
  "code": 400,
  "message": "API Key can not be empty"
}

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最后更新于6个月前

{ "code": 200, "search_parameters": { "engine": "google_patents_details", "no_cache": true, "api_key": "YOUR_API_KEY", "patent_id": "patent/US11734097B1/en" }, "search_metadata": { "id": "5e37f1d5-b277-4fb2-b1e5-35e0dc651ff9", "json_endpoint": "https://webserp.abcproxy.com/files/de06336b97171f60/5e37f1d5-b277-4fb2-b1e5-35e0dc651ff9.json", "created_at": "2025-04-09 11:56:22", "google_patents_url": "https://patents.google.com/patent/US11734097B1/en", "raw_html_file": "https://webserp.abcproxy.com/files/de06336b97171f60/5e37f1d5-b277-4fb2-b1e5-35e0dc651ff9.html", "xray_html_file": "https://webserp.abcproxy.com/files/de06336b97171f60/5e37f1d5-b277-4fb2-b1e5-35e0dc651ff9.xray", "total_time_taken": "41.9812" }, "patent_result": { "abstract": "An illustrative method includes identifying, based on an output of a machine...", "worldwide_applications": { "2019": { "application_number": "US16/249,534", "filing_date": "2019-01-16", "legal_status": "Active", "country_code": "US", "document_id": "patent/US11010233B1/en" }, ... }, "parent_applications": [ { "primary_language": "en", "representative_publication": "US11010233B1", "priority_date": "2018-01-18", "filing_date": "2019-01-16", "relation_type": "Continuation", "title": "Hardware-based system monitoring", "application_number": "US16/249,534" } ], "external_links": [ { "text": "Patent citations (544)", "link": "https://patents.google.com#patentCitations" }, ... ], "events": [ { "type": "filed", "title": "Application filed by Pure Storage Inc", "date": "2021-01-27" }, ... ], "non_patent_citations": [ { "title": "\"International Search Report and Written Opinion received in International Application No. PCT/US2022/047039 dated Jan. 30, 2023\"." }, ... ], "description": "RELATED APPLICATIONS The present application is a continuation application of...", "publication_number": "US11734097B1", "inventors": [ { "name": "Christopher Golden", "link": "https://patents.google.com#" }, ... ], "assignees": [ "Pure Storage Inc" ], "applications_claiming_priority": [ { "title": "Method for storage system detection and alerting on potential malicious action", "application_number": "US15/874,719", "primary_language": "en", "representative_publication": "US11144638B1", "filing_date": "2018-01-18" }, ... ], "patent_citations": { "original": [ { "publication_date": "1993-05-04", "assignee_original": "Array Technology Corporation", "title": "On-line reconstruction of a failed redundant array system", "publication_number": "US5208813A", "primary_language": "en", "priority_date": "1990-10-23" }, { "publication_number": "WO1995002349A1", "primary_language": "en", "priority_date": "1993-07-15", "publication_date": "1995-01-26", "assignee_original": "Paul Hettich Gmbh & Co.", "title": "Locking device for drawers and the like" }, ... ] }, "images": [ "https://patentimages.storage.googleapis.com/b8/36/5a/51c91430de42ca/US11734097-20230822-D00000.png", ... ], "pdf_url": "https://patentimages.storage.googleapis.com/00/a7/59/6750cd74efdf32/US11734097.pdf", "filling_date": "2021-01-27", "priority_applications": [ { "filing_date": "2021-01-27", "title": "Machine learning-based hardware component monitoring", "application_number": "US17/160,053", "primary_language": "en", "representative_publication": "US11734097B1", "priority_date": "2018-01-18" }, ... ], "country": "United States", "classifications": [ { "code": "G06F21/554", "description": "Detecting local intrusion or implementing counter-measures involving event detection and direct action" }, ... ], "child_applications": [ { "application_number": "US18/209,789", "primary_language": "en", "representative_publication": "US20230325272A1", "priority_date": "2018-01-18", "filing_date": "2023-06-14", "relation_type": "Continuation", "title": "Hardware Component Monitoring-based Performance of a Remedial Action" } ], "publication_date": "2023-08-22", "claims": [ "1. A method comprising: identifying, by a monitoring system based on an output of a machine learning model that receives data associated with an operation of a hardware component as an input, an anomaly in the data; determining, by the monitoring system, that the anomaly is representative of an issue associated with the hardware component; and performing, by the monitoring system based on the determining that the anomaly is representative of the issue associated with the hardware component, a remedial action that affects a performance of the operation of the hardware component.", ... ], "type": "patent", "application_number": "US17/160,053" } }