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Google Scholar API

Easily integrate and automate the extraction of academic papers, citations, and author details into your application for faster research and data analysis.

What Google Scholar API can do

Google Scholar Profiles API

Extract detailed information about individual author profiles, including their publications, research interests, and academic credentials.

Google Scholar Author API

Gather author-specific data, including citation counts, h-index, and i10-index, to analyze the academic influence of researchers.

Google Scholar Cite API

Automatically collect citation data from research papers, allowing you to track how often papers are cited and measure their scholarly impact.

The data points you get through our Google Scholor API

> curl "https://api.scrapingdog.com/google_scholar?api_key=5eaa61a6e562fc52fe763tr516e4653&query=Machine+Learning"

// 20241010162314
// https://api.scrapingdog.com/google_scholar/?api_key=64ba3a568de9be3484544209&query=Machine+Learning

{
  "search_details": {
    "query": "Machine Learning",
    "number_of_results": "About 5,800,000 results"
  },
  "scholar_results": [
    {
      "title": "Machine learning algorithms-a review",
      "title_link": "https://www.researchgate.net/profile/Batta-Mahesh/publication/344717762_Machine_Learning_Algorithms_-A_Review/links/5f8b2365299bf1b53e2d243a/Machine-Learning-Algorithms-A-Review.pdf?eid=5082902844932096t",
      "id": "sR_ChBn63tIJ",
      "type": "[PDF]",
      "displayed_link": "B Mahesh - International Journal of Science and Research (IJSR) …, 2020 - researchgate.net",
      "snippet": "… Here‟sa quick look at some of the commonly used algorithms in machine learning (ML) Supervised Learning Supervised learning is the machine learning task of learning a function …",
      "inline_links": {
        "versions": {
          "total": "All 2 versions",
          "link": "https://scholar.google.com/scholar?cluster=15194857180303073201&hl=en&as_sdt=0,5",
          "cluster_id": "15194857180303073201"
        },
        "cited_by": {
          "total": "Cited by 3294",
          "link": "https://scholar.google.com/scholar?cites=15194857180303073201&as_sdt=2005&sciodt=0,5&hl=en"
        },
        "related_pages_link": "https://scholar.google.com/scholar?q=related:sR_ChBn63tIJ:scholar.google.com/&scioq=Machine+Learning&hl=en&as_sdt=0,5"
      },
      "resources": [
        {
          "title": "researchgate.net",
          "type": "PDF",
          "link": "https://www.researchgate.net/profile/Batta-Mahesh/publication/344717762_Machine_Learning_Algorithms_-A_Review/links/5f8b2365299bf1b53e2d243a/Machine-Learning-Algorithms-A-Review.pdf?eid=5082902844932096t"
        }
      ]
    },
    {
      "title": "Machine learning",
      "title_link": "https://books.google.com/books?hl=en&lr=&id=2nQJEAAAQBAJ&oi=fnd&pg=PR7&dq=Machine+Learning&ots=fI-aU6VGqs&sig=D5oaU0eAMs1_glbx9LRjZE1QqOc",
      "id": "_zuqxloS2b0J",
      "type": "[BOOK]",
      "displayed_link": "E Alpaydin - 2021 - books.google.com",
      "snippet": "MIT presents a concise primer on machine learning—computer programs that learn from data and the basis of applications like voice recognition and driverless cars. No in-depth …",
      "inline_links": {
        "versions": {
          "total": "All 11 versions",
          "link": "https://scholar.google.com/scholar?cluster=13679985524203994111&hl=en&as_sdt=0,5",
          "cluster_id": "13679985524203994111"
        },
        "cited_by": {
          "total": "Cited by 1109",
          "link": "https://scholar.google.com/scholar?cites=13679985524203994111&as_sdt=2005&sciodt=0,5&hl=en"
        },
        "related_pages_link": "https://scholar.google.com/scholar?q=related:_zuqxloS2b0J:scholar.google.com/&scioq=Machine+Learning&hl=en&as_sdt=0,5"
      },
      "resources": [
        {
          "title": "pomona.edu",
          "type": "PDF",
          "link": "https://cs.pomona.edu/~dkauchak/classes/s16/cs30-s16/lectures/lecture12-NN-basics.pdf"
        }
      ]
    },
    {
      "title": "Machine learning: Trends, perspectives, and prospects",
      "title_link": "https://www.science.org/doi/abs/10.1126/science.aaa8415",
      "id": "pdcI9r5sCJcJ",
      "displayed_link": "MI Jordan, TM Mitchell - Science, 2015 - science.org",
      "snippet": "… Machine learning addresses the question of how to build computers that improve … Recent progress in machine learning has been driven both by the development of new learning …",
      "inline_links": {
        "versions": {
          "total": "All 21 versions",
          "link": "https://scholar.google.com/scholar?cluster=10883068066968164261&hl=en&as_sdt=0,5",
          "cluster_id": "10883068066968164261"
        },
        "cited_by": {
          "total": "Cited by 9678",
          "link": "https://scholar.google.com/scholar?cites=10883068066968164261&as_sdt=2005&sciodt=0,5&hl=en"
        },
        "related_pages_link": "https://scholar.google.com/scholar?q=related:pdcI9r5sCJcJ:scholar.google.com/&scioq=Machine+Learning&hl=en&as_sdt=0,5"
      },
      "resources": [
        {
          "title": "cmu.edu",
          "type": "PDF",
          "link": "http://www.cs.cmu.edu/~tom/pubs/Science-ML-2015.pdf"
        }
      ]
    },
    {
      "title": "What is machine learning?",
      "title_link": "https://link.springer.com/chapter/10.1007/978-3-319-18305-3_1",
      "id": "6uA6mpei2rcJ",
      "type": "[BOOK]",
      "displayed_link": "I El Naqa, MJ Murphy - 2015 - Springer",
      "snippet": "… A machine learning algorithm is a computational process that … This training is the “learning” part of machine learning. The … can practice “lifelong” learning as it processes new data and …",
      "inline_links": {
        "versions": {
          "total": "All 12 versions",
          "link": "https://scholar.google.com/scholar?cluster=13248080025875046634&hl=en&as_sdt=0,5",
          "cluster_id": "13248080025875046634"
        },
        "cited_by": {
          "total": "Cited by 1448",
          "link": "https://scholar.google.com/scholar?cites=13248080025875046634&as_sdt=2005&sciodt=0,5&hl=en"
        },
        "related_pages_link": "https://scholar.google.com/scholar?q=related:6uA6mpei2rcJ:scholar.google.com/&scioq=Machine+Learning&hl=en&as_sdt=0,5"
      },
      "resources": [
        {
          "title": "kaust.edu.sa",
          "type": "PDF",
          "link": "https://repository.kaust.edu.sa/server/api/core/bitstreams/798f4362-602a-47d4-91a3-c52e45358ed7/content"
        }
      ]
    },
    {
      "title": "Machine learning",
      "title_link": "https://books.google.com/books?hl=en&lr=&id=ctM-EAAAQBAJ&oi=fnd&pg=PR6&dq=Machine+Learning&ots=o_KpY4Sz5s&sig=9Z2V6oDFFjCyhM38HPVTNvNadhU",
      "id": "EQ8shYj8Ai8J",
      "type": "[BOOK]",
      "displayed_link": "ZH Zhou - 2021 - books.google.com",
      "snippet": "… machine learning. The second part includes Chapters 4–10, which presents some classic and popular machine learning … cover the core topics of machine learning in one semester, and …",
      "inline_links": {
        "versions": {
          "total": "All 9 versions",
          "link": "https://scholar.google.com/scholar?cluster=3387547533016043281&hl=en&as_sdt=0,5",
          "cluster_id": "3387547533016043281"
        },
        "cited_by": {
          "total": "Cited by 2620",
          "link": "https://scholar.google.com/scholar?cites=3387547533016043281&as_sdt=2005&sciodt=0,5&hl=en"
        },
        "related_pages_link": "https://scholar.google.com/scholar?q=related:EQ8shYj8Ai8J:scholar.google.com/&scioq=Machine+Learning&hl=en&as_sdt=0,5"
      }
    },
    {
      "title": "Machine learning and the physical sciences",
      "title_link": "https://journals.aps.org/rmp/abstract/10.1103/RevModPhys.91.045002",
      "id": "eucrqVB_bisJ",
      "displayed_link": "G Carleo, I Cirac, K Cranmer, L Daudet, M Schuld… - Reviews of Modern …, 2019 - APS",
      "snippet": "… II, where the interaction with machine learning has a long history, drawing on methods in … in machine learning. We then turn the wheel in the other direction of using machine learning for …",
      "inline_links": {
        "versions": {
          "total": "All 14 versions",
          "link": "https://scholar.google.com/scholar?cluster=3129578775481411450&hl=en&as_sdt=0,5",
          "cluster_id": "3129578775481411450"
        },
        "cited_by": {
          "total": "Cited by 2307",
          "link": "https://scholar.google.com/scholar?cites=3129578775481411450&as_sdt=2005&sciodt=0,5&hl=en"
        },
        "related_pages_link": "https://scholar.google.com/citations?user=PCIAcfUAAAAJ&hl=en&oi=sra"
      },
      "resources": [
        {
          "title": "aps.org",
          "type": "PDF",
          "link": "https://link.aps.org/accepted/10.1103/RevModPhys.91.045002"
        }
      ]
    },
    {
      "title": "Machine learning",
      "title_link": "https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=417f55320080fea71d491a18318dad6572b2fa8c",
      "id": "sgzh8w-wKWIJ",
      "type": "[PDF]",
      "displayed_link": "TG Dietterich - Annual review of computer science, 1990 - Citeseer",
      "snippet": "The study of machine learning methods has progressed greatly in the past few years. This progress has taken many directions. First, in the area of inductive learning, a new formal de …",
      "inline_links": {
        "versions": {
          "total": "All 6 versions",
          "link": "https://scholar.google.com/scholar?cluster=7073378272324684978&hl=en&as_sdt=0,5",
          "cluster_id": "7073378272324684978"
        },
        "cited_by": {
          "total": "Cited by 260",
          "link": "https://scholar.google.com/scholar?cites=7073378272324684978&as_sdt=2005&sciodt=0,5&hl=en"
        },
        "related_pages_link": "https://scholar.google.com/scholar?q=related:sgzh8w-wKWIJ:scholar.google.com/&scioq=Machine+Learning&hl=en&as_sdt=0,5"
      },
      "resources": [
        {
          "title": "psu.edu",
          "type": "PDF",
          "link": "https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=417f55320080fea71d491a18318dad6572b2fa8c"
        }
      ]
    },
    {
      "title": "What is machine learning? A primer for the epidemiologist",
      "title_link": "https://academic.oup.com/aje/article-abstract/188/12/2222/5567515",
      "id": "LDE5SAcBB-gJ",
      "displayed_link": "Q Bi, KE Goodman, J Kaminsky… - American journal of …, 2019 - academic.oup.com",
      "snippet": "… We provide a brief introduction to 5 common machine learning … of machine learning techniques in the published literature. We recommend approaches to incorporate machine learning …",
      "inline_links": {
        "versions": {
          "total": "All 9 versions",
          "link": "https://scholar.google.com/scholar?cluster=16719333272424362284&hl=en&as_sdt=0,5",
          "cluster_id": "16719333272424362284"
        },
        "cited_by": {
          "total": "Cited by 583",
          "link": "https://scholar.google.com/scholar?cites=16719333272424362284&as_sdt=2005&sciodt=0,5&hl=en"
        },
        "related_pages_link": "https://scholar.google.com/scholar?q=related:LDE5SAcBB-gJ:scholar.google.com/&scioq=Machine+Learning&hl=en&as_sdt=0,5"
      },
      "resources": [
        {
          "title": "umsha.ac.ir",
          "type": "PDF",
          "link": "https://sph.umsha.ac.ir/uploads/18/2023/May/22/kwz189.pdf"
        }
      ]
    },
    {
      "title": "Readings in machine learning",
      "title_link": "https://books.google.com/books?hl=en&lr=&id=UgC33U2KMCsC&oi=fnd&pg=PA1&dq=Machine+Learning&ots=Tihlkh4Lv8&sig=FMtYK2deesC1KygK1Ydupu15p_4",
      "id": "fiUuYFSiLxwJ",
      "type": "[BOOK]",
      "displayed_link": "JW Shavlik, TG Dietterich - 1990 - books.google.com",
      "snippet": "… in machine learning. We have taught from these readings in our own machine learning … Furthermore, we in machine learning believe that learning techniques provide important con…",
      "inline_links": {
        "versions": {
          "total": "All 3 versions",
          "link": "https://scholar.google.com/scholar?cluster=2031020440241972606&hl=en&as_sdt=0,5",
          "cluster_id": "2031020440241972606"
        },
        "cited_by": {
          "total": "Cited by 573",
          "link": "https://scholar.google.com/scholar?cites=2031020440241972606&as_sdt=2005&sciodt=0,5&hl=en"
        },
        "related_pages_link": "https://scholar.google.com/scholar?q=related:fiUuYFSiLxwJ:scholar.google.com/&scioq=Machine+Learning&hl=en&as_sdt=0,5"
      }
    },
    {
      "title": "Encyclopedia of machine learning",
      "title_link": "https://books.google.com/books?hl=en&lr=&id=i8hQhp1a62UC&oi=fnd&pg=PA3&dq=Machine+Learning&ots=92kfCueHfO&sig=vr5zr9Di-X_n8U8GUZqbJ-wqzBA",
      "id": "IufbymTDBukJ",
      "type": "[BOOK]",
      "displayed_link": "C Sammut, GI Webb - 2011 - books.google.com",
      "snippet": "… Machine Learning came to be identified as a research field in its … machine learning appeared. Although the field coalesced in the 1980s, research on what we now call machine learning …",
      "inline_links": {
        "versions": {
          "total": "All 7 versions",
          "link": "https://scholar.google.com/scholar?cluster=16791323098365028130&hl=en&as_sdt=0,5",
          "cluster_id": "16791323098365028130"
        },
        "cited_by": {
          "total": "Cited by 2368",
          "link": "https://scholar.google.com/scholar?cites=16791323098365028130&as_sdt=2005&sciodt=0,5&hl=en"
        },
        "related_pages_link": "https://scholar.google.com/scholar?q=related:IufbymTDBukJ:scholar.google.com/&scioq=Machine+Learning&hl=en&as_sdt=0,5"
      }
    }
  ],
  "related_searches": [
    {
      "title": "machine learning prediction",
      "link": "https://www.google.com/scholar?hl=en&as_sdt=0,5&qsp=1&q=machine+learning+prediction&qst=ib"
    },
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      "title": "machine learning algorithms",
      "link": "https://www.google.com/scholar?hl=en&as_sdt=0,5&qsp=2&q=machine+learning+algorithms&qst=ib"
    },
    {
      "title": "supervised machine learning",
      "link": "https://www.google.com/scholar?hl=en&as_sdt=0,5&qsp=3&q=supervised+machine+learning&qst=ib"
    },
    {
      "title": "interpretable machine learning",
      "link": "https://www.google.com/scholar?hl=en&as_sdt=0,5&qsp=4&q=interpretable+machine+learning&qst=ib"
    },
    {
      "title": "pattern recognition machine learning",
      "link": "https://www.google.com/scholar?hl=en&as_sdt=0,5&qsp=5&q=pattern+recognition+machine+learning&qst=ib"
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    {
      "title": "malware detection machine learning",
      "link": "https://www.google.com/scholar?hl=en&as_sdt=0,5&qsp=6&q=malware+detection+machine+learning&qst=ib"
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      "title": "fake news detection machine learning",
      "link": "https://www.google.com/scholar?hl=en&as_sdt=0,5&qsp=7&q=fake+news+detection+machine+learning&qst=ib"
    },
    {
      "title": "physics informed machine learning",
      "link": "https://www.google.com/scholar?hl=en&as_sdt=0,5&qsp=8&q=physics+informed+machine+learning&qst=ib"
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}

One API to access all the data from Google Scholar, including papers, citations, and author profiles.

Enhanced Research Insights

Leverage comprehensive academic data, including citations and author profiles, to make better-informed research decisions and drive deeper academic analysis.

Automate the process of gathering large volumes of academic papers, citations, and author information, saving time and resources on manual data collection.

Filter and customize your data extraction based on specific fields like publication year, author name, keywords, or journal, ensuring you get the most relevant results for your needs.

Integrate the extracted data seamlessly into your applications and workflows using the JSON format, enabling smooth compatibility with your existing tools and platforms.

Some use cases of scraped data from Google Scholar

Research Paper Discovery

Researchers can use the scholar API to find and access relevant academic papers quickly based on specific topics, keywords, or authors, speeding up the literature review process.

Citation Tracking

Automatically track how often a research paper is cited, helping academics and institutions measure the impact and relevance of their work or competitors’ work.

Academic Profiling

Build detailed profiles of authors by gathering information on their published papers, research interests, and academic affiliations, useful for collaboration or hiring.

Research Analytics

Universities and research organizations can use the API to analyze academic trends, citation networks, and emerging research areas, supporting informed decision-making.

Data Enrichment

Enhance existing research datasets with up-to-date citation and author data, ensuring the most current and accurate information is available for analysis.

Journal and Conference Monitoring

Monitor new papers published in specific journals or conferences, staying updated on the latest advancements in your field.

Testimonial

Transparent & Simple Pricing

Start your scraping journey with 1,000 free credits. Test our service and upgrade to one of the plans below. Cancel anytime.

LITE

$40/month

STANDARD

$90/month

PRO

$200/month

Popular

ENTERPRISE

$500+/month

LITE

$33.33/month

STANDARD

$75/month

PRO

$166.66/month

Popular

ENTERPRISE

$1000+/month

Not sure which plan suits you?

Our team will assist you in selecting the right plan.

Frequently Asked Questions

It’s an API that automates the extraction of data from Google Scholar, including academic papers, citations, and author profiles. It allows researchers and developers to integrate scholarly data into their applications for easier access and analysis.

Yes, the API allows you to retrieve citation counts and details for academic papers, enabling you to track the impact and influence of specific research.

Yes, the Google Scholar API allows you to filter the data by various parameters, such as publication year, specific journals, or keywords, so you can extract only the most relevant information for your research.

Each API request consumes a certain number of credits based on the dedicated API you’re using.

For example the Google Search API costs 5 credits per request. So, if you make one request to the Google Search API, it will deduct 5 credits from the available credits in your account. The number of credits required per request can vary depending on the specific API you’re using.

You can find more details about the credit usage for each API in the documentation.