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Google Scholar Cite API

Google Scholar Cite API uses /api/v1/search?engine=google_scholar_cite API endpoint to scrape real-time results.

A citation is like giving a shout-out to someone's work you've utilized in your research. It helps guard against content theft and directs readers to the original source. Key components of a citation often encompass the author's name, publication date, and source details. A citation style sets the standard for these acknowledgments, specifying the details to highlight and their presentation format. The predominant styles include:

  • APA (American Psychological Association) Style - common in Education, Psychology, and Sciences.
  • MLA (Modern Language Association) Style - favored by the Humanities.
  • Chicago Style - preferred in Business, History, and the Fine Arts.
  • Vancouver Style - adopted by Health Science disciplines.

API Parameters

Search Query

  • Name
    data_cid
    Required
    Required
    Description

    Parameter defines the cite id of the selected article. This id can be found in Google Scholar search results under the data_cid key value.

Localization

  • Name
    hl
    Required
    Optional
    Description

    The default parameter en defines the interface language of the search. Check the full list of supported Google hl languages.

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_scholar_cite.

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).

Zero Data Retention

  • Name
    zero_retention
    Enterprise Only
    Enterprise Only
    Required
    Optional
    Description

    Set this parameter to true to disable all logging and persistent storage. No request parameters, HTML, or JSON responses are stored or logged. Suitable for high-compliance use cases. Debugging and support may be limited while enabled.

API Examples

Full Response

Full Response
GET
https://www.searchapi.io/api/v1/search?data_cid=QXV-Nxym8hQJ&engine=google_scholar_cite
Request
import requests

url = "https://www.searchapi.io/api/v1/search"
params = {
  "engine": "google_scholar_cite",
  "data_cid": "QXV-Nxym8hQJ"
}

response = requests.get(url, params=params)
print(response.text)
Response
{
  "search_metadata": {
    "id": "search_OxE2l6wMgOJVS98Wp9PbYq4K",
    "status": "Success",
    "created_at": "2023-08-21T15:19:54Z",
    "request_time_taken": 1.45,
    "parsing_time_taken": 0,
    "total_time_taken": 1.46,
    "request_url": "https://scholar.google.com/scholar?q=info:QXV-Nxym8hQJ:scholar.google.com&hl=en&output=cite",
    "html_url": "https://www.searchapi.io/api/v1/searches/search_OxE2l6wMgOJVS98Wp9PbYq4K.html",
    "json_url": "https://www.searchapi.io/api/v1/searches/search_OxE2l6wMgOJVS98Wp9PbYq4K"
  },
  "search_parameters": {
    "engine": "google_scholar_cite",
    "data_cid": "QXV-Nxym8hQJ",
    "hl": "en"
  },
  "citations": [
    {
      "title": "MLA",
      "snippet": "Topsakal, Oguzhan, and Tahir Cetin Akinci. \"Creating Large Language Model Applications Utilizing LangChain: A Primer on Developing LLM Apps Fast.\" International Conference on Applied Engineering and Natural Sciences. Vol. 1. No. 1. 2023."
    },
    ...
  ],
  "links": [
    {
      "title": "BibTeX",
      "link": "https://scholar.googleusercontent.com/scholar.bib?q=info:QXV-Nxym8hQJ:scholar.google.com/&output=citation&scisdr=ClFgCtb1GAA:AFWwaeYAAAAAZOOC9X2MMMWTKv9bfkvSXnQateA&scisig=AFWwaeYAAAAAZOOC9V_dD482ayHgGCf_ul8641c&scisf=4&ct=citation&cd=-1&hl=en"
    },
    ...
  ]
}