Google Scholar: Search

curl --request GET \
  --url https://api.perceptlayer.com/v1/google-scholar/search \
  --header 'X-API-Key: <api-key>'

import requests

url = "https://api.perceptlayer.com/v1/google-scholar/search"

headers = {"X-API-Key": "<api-key>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {'X-API-Key': '<api-key>'}};

fetch('https://api.perceptlayer.com/v1/google-scholar/search', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

const url = 'https://api.perceptlayer.com/v1/google-scholar/search';
const options = {method: 'GET', headers: {'X-API-Key': '<api-key>'}};

fetch(url, options)
  .then(res => res.json())
  .then(json => console.log(json))
  .catch(err => console.error(err));

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api.perceptlayer.com/v1/google-scholar/search"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("X-API-Key", "<api-key>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.perceptlayer.com/v1/google-scholar/search",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "X-API-Key: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

require 'uri'
require 'net/http'

url = URI("https://api.perceptlayer.com/v1/google-scholar/search")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["X-API-Key"] = '<api-key>'

response = http.request(request)
puts response.read_body

HttpResponse<String> response = Unirest.get("https://api.perceptlayer.com/v1/google-scholar/search")
  .header("X-API-Key", "<api-key>")
  .asString();

{
  "endpoint": "google-scholar.search",
  "params": {
    "q": "machine learning",
    "hl": "en",
    "num": "10",
    "as_ylo": "2020"
  },
  "response": {
    "success": true,
    "data": {
      "search_parameters": {
        "engine": "google_scholar",
        "q": "machine learning",
        "hl": "en",
        "start": 0,
        "num": 10,
        "as_ylo": "2020",
        "scisbd": 0
      },
      "search_information": {
        "query_displayed": "machine learning",
        "total_results": 38300,
        "result_stats": "About 38,300 results (0.12 sec)"
      },
      "organic_results": [
        {
          "position": 1,
          "title": "Machine learning",
          "result_id": "WHD7vRZpYhIJ",
          "link": "https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9780429171529-36&type=chapterpdf",
          "snippet": "… learning algorithm can give sensible predictions on data that were not seen during training. This chapter provides an overview of the process by which m achine learning … learning over …",
          "publication_info": {
            "summary": "S Marsland - Computing Handbook, 2022 - api.taylorfrancis.com",
            "authors": [
              "…"
            ]
          },
          "resources": [
            {
              "file_format": "PDF"
            },
            {
              "title": "14.139.161.31",
              "file_format": "PDF",
              "link": "http://14.139.161.31/OldFiles/Machine_Learning_An_Algorithmic_Perspective_(2nd_ed).pdf"
            }
          ]
        },
        {
          "position": 2,
          "title": "Machine learning",
          "result_id": "K_YKyl3arXoJ",
          "link": "https://pubs.acs.org/infocus/book-supplement/2643/pdf/if-2023-x00006_toc/",
          "snippet": "Molecular Representations for Machine Learning … Molecular Representations for Machine Learning … 3.2 Simplicial Complexes 3.3 Persistent Homology 3.4 Capturing …",
          "publication_info": {
            "summary": "M Jones, B Story, V Maroulas, KD Vogiatzis - 2023 - ACS Publications",
            "authors": [
              "…",
              "…",
              "…"
            ]
          },
          "inline_links": {
            "cited_by": {
              "total": 292,
              "link": "https://scholar.google.com/scholar?cites=8839961739954681387&as_sdt=2005&sciodt=0,5&hl=en",
              "cites_id": "8839961739954681387"
            },
            "related_articles_link": "https://scholar.google.com/scholar?q=related:K_YKyl3arXoJ:scholar.google.com/&scioq=machine+learning&hl=en&as_sdt=0,5&as_ylo=2020"
          }
        },
        {
          "position": 3,
          "title": "Machine learning in catalysis, from proposal to practicing",
          "result_id": "NiObvdU8xJcJ",
          "link": "https://pubs.acs.org/acsodf/article-abstract/5/1/83/873055",
          "snippet": "… One of the most powerful strategies within AI is machine learning (ML), which uses algorithms to … It is found that the automated machine-learning process has been assisting in building …",
          "publication_info": {
            "summary": "W Yang, TT Fidelis, WH Sun - ACS omega, 2020 - ACS Publications",
            "authors": [
              "…",
              "…",
              "…"
            ]
          },
          "resources": [
            {
              "file_format": "PDF"
            },
            {
              "title": "acs.org",
              "file_format": "PDF",
              "link": "https://pubs.acs.org/acsodf/article-pdf/5/1/83/68321629/acsomega.9b03673.pdf"
            }
          ]
        }
      ],
      "pagination": {
        "current": 1,
        "start": 0,
        "num": 10,
        "next_start": 10,
        "has_next": true,
        "pages": [
          {
            "page": 2,
            "start": 10,
            "link": "https://scholar.google.com/scholar?start=10&q=machine+learning&hl=en&as_sdt=0,5&as_ylo=2020"
          },
          {
            "page": 3,
            "start": 20,
            "link": "https://scholar.google.com/scholar?start=20&q=machine+learning&hl=en&as_sdt=0,5&as_ylo=2020"
          },
          {
            "page": 4,
            "start": 30,
            "link": "https://scholar.google.com/scholar?start=30&q=machine+learning&hl=en&as_sdt=0,5&as_ylo=2020"
          }
        ]
      }
    },
    "meta": {
      "duration_ms": 3294
    }
  }
}

{
  "error": {
    "code": "<string>",
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  }
}

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