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 using our Google Scholar API.

GET / google_scholar
"scholar_results": [
    {
        "title": "Machine learning algorithms-a review",
        "title_link": "https://www.researchgate.net/...",
        "id": "sR_ChBn63tIJ",
        "type": "[PDF]",
        "displayed_link": "B Mahesh - International Journal of Science and Research...",
        "snippet": "… Here's a quick look at some of the commonly used algorithms in machine learning...",
        "inline_links": {
            "versions": {
                "total": "All 2 versions",
                "link": "https://scholar.google.com/scholar?cluster=...",
                "cluster_id": "15194857180303073201"
            },
            "cited_by": {
                "total": "Cited by 3294",
                "link": "https://scholar.google.com/scholar?cites=..."
            },
            "related_pages_link": "https://scholar.google.com/scholar?q=related:..."
        },
        "resources": [
            {
                "title": "researchgate.net",
                "type": "PDF",
                "link": "https://www.researchgate.net/..."
            }
        ]
    }
]

How It Works Behind the API

</> Get
import requests

api_key = "5eaa61a6e562fc52fe763tr516e4653"
url = "https://api.scrapingdog.com/google_scholar"

params = {
    "api_key": api_key,
    "query": "Machine Learning"
}

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

if response.status_code == 200:
    data = response.json()
    print(data)
else:
    print(f"Request failed with status code: {response.status_code}")

Google Scholar API Response (Structured JSON Data)

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  • Scholar Results

    titletitle_linktypedisplayed_linksnippetid
  • Resources & PDFs

    resourcestitletypelink
  • Citation & Versions

    inline_linkscited_bytotalversionscluster_idrelated_pages_link
  • Search Details

    search_detailsquerynumber_of_results
  • Related Searches

    related_searchestitlelink
  • Pagination

    paginationcurrentpage_no

Scrapingdog vs Manual Google Scholar Scraping

Without a Google Scholar API

Without Scrapingdog, you need to manage proxies, handle CAPTCHA, parse raw HTML, and deal with frequent blocks while collecting academic data.

  • Aggressive Rate-Limiting & "Robot" Walls

    Scholar throttles repeated queries and throws CAPTCHA walls, so bulk literature reviews stall after a few hundred searches.

  • Parsing Cited-By Counts & cluster_id Links

    Citation totals, version counts, and cluster_id values hide in nested markup that breaks whenever Scholar tweaks its layout.

  • Reconstructing start= Pagination

    Scholar paginates by a start= offset, so walking past result 10 means hand-stitching query strings for every page.

  • No Stable IDs Across Profiles & Cite Pages

    Linking a paper to its author profile and citation export means scraping several separate Scholar surfaces and joining them.

With Scrapingdog Google Scholar API

One API call handles proxies, CAPTCHA, parsing, and scaling, so you focus on the academic data.

  • Enhanced Research Insights

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

  • Operational Efficiency

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

  • Customizable Data Extraction

    Filter your data extraction by publication year, author name, keywords, or journal to get the most relevant results.

  • Easy Integration

    Integrate the extracted data into your applications and workflows using JSON for smooth compatibility with existing tools.

Google Scholar API Features That Make Scraping Easy

  • Author Profiles & Metrics

    The Author endpoints return citation counts, h-index, and i10-index with research interests, so you can analyze influence in one call.

  • Citation & Cited-By Data

    The Cite endpoint collects citation records and cited-by totals for any paper, so you track scholarly impact without manual scraping.

  • Filterable Scholarly Search

    Query by keyword, author, journal, or publication year and receive the latest papers, versions, and PDF resources in real time.

  • Rotating Proxy Network

    A built-in rotating proxy pool changes IP for every request, so high-volume literature reviews never trip rate limits.

  • Automatic CAPTCHA Handling

    Scrapingdog clears the "robot" walls Scholar throws at repeated queries, keeping your bulk research jobs running.

  • Structured, Ready-to-Use JSON

    Titles, snippets, versions, resources, and pagination arrive as clean JSON, ready for your reference database or pipeline.

What you can build with a Google Scholar Scraper API

  • Research Paper Discovery

    Find and access relevant academic papers quickly by topic, keyword, or author, speeding up the literature review process.

  • Citation Tracking

    Monitor citation frequency and counts over time to measure the impact and influence of specific research and publications.

  • Academic Profiling

    Build detailed author profiles with publications and credentials to support collaboration, hiring, and partnership decisions.

  • Research Analytics

    Analyze trends, citation networks, and emerging research areas to spot what is gaining momentum across academic fields.

  • Data Enrichment

    Enhance existing datasets with current citations and author information to keep your research databases accurate and up to date.

  • Journal & Conference Monitoring

    Stay updated on the latest publications in your field by continuously monitoring journals and conference proceedings.

Built for teams of every size and background

  • Academic Researchers
  • Research Librarians
  • University Departments
  • Systematic-Review Teams
  • Citation & Bibliometric Tools
  • Reference Manager Apps
  • PhD & Postdoc Students
  • R&D Teams
  • Academic Publishers
  • Grant & Funding Analysts
  • Science Journalists
  • Research Data Scientists

Get Started with Our Google Scholar Scraper API in Minutes

  1. 1

    Create free account

    Sign up and get free credits to start testing the Google Scholar API.

  2. 2

    Get Your API Key

    Access your unique API key from the dashboard and use it to scrape the data.

  3. 3

    Send Your First Request

    Call the /google_scholar endpoint with a query like "Machine Learning" to fetch real-time results from Google Scholar.

  4. 4

    Receive Structured Data

    Get clean JSON with scholar_results, cited-by counts, version clusters, PDF resources, and pagination ready to use in your app.

Transparent & Simple Pricing

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Trusted by Researchers worldwide

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  • I got the free trial and in less than a minute I already integrated with their API to scrape Google, matter of fact they had all the plug-and-play codes ready for me, It was seamless. I am about to upgrade as I have used up my trial credits.

    Cara Damiano

    United States

  • I love how you can use it to scrape data from Google.

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    Oslo, Norway

  • Scrapingdog is an awesome service. I use it with my Local Leads Sniper system and thanks to it I have been able to land a few clients since it gave me all the info that my client's Google Business Profile was missing. Great service!

    Hector Casanova Loera

    Mexico

  • Their API success rate is 100% on the tests that I have done. The service seems very reliable.

    Jomer Avengoza

    New York, USA

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, other than the data from Google Scholar, we have dedicated APIs for Google Search, Google Images, Google Maps, and more.

  • 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.

  • No, there is no official Google Scholar API.

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