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Google Dataset Info API Documentation

GET   /api/v1/search?engine=google_dataset_info
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The Google Dataset Info API returns one dataset from Google Dataset Search, identified by its dataset_id. You get the same metadata a Google Dataset Search API result carries: the dataset's title and other names, link and description, its providers, funders and authors, download formats and licenses, whether it is available in Croissant format, last update, covered time period and areas, measured variables and measurement techniques, scholarly citation count, citation text and versions.

Use it to refresh the metadata of datasets you already track without searching for them again. Take the dataset_id of any dataset_results item, or the docid of a Google Dataset Search link. A dataset published in more than one version carries versions: pass its versions_id to the Google Dataset Search API as versions_id to list the versions.

API Parameters

Search Query

  • Name
    dataset_id
    Required
    Required
    Description

    This parameter defines the dataset to look up, e.g. L2cvMTF3anByZHMzag==. Get it from the dataset_results.dataset_id field of the Google Dataset Search API. The id also works percent-encoded or without its trailing =, and so does a Google Dataset Search link that carries it in its docid parameter.

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_dataset_info.

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

Dataset

Dataset

The dataset object has the fields of a Google Dataset Search result except position. A dataset_id Google Dataset Search doesn't know returns an error instead.

GET
https://www.searchapi.io/api/v1/search?dataset_id=L2cvMTF3anByZHMzag%3D%3D&engine=google_dataset_info
Request
import requests

url = "https://www.searchapi.io/api/v1/search"
params = {
  "engine": "google_dataset_info",
  "dataset_id": "L2cvMTF3anByZHMzag=="
}

response = requests.get(url, params=params)
print(response.text)
Response
{
  "search_metadata": {
    "id": "search_rWMBG04LgyPXTLEEpb6NQzqD",
    "status": "Success",
    "created_at": "2026-11-03T10:43:22Z",
    "request_time_taken": 1.49,
    "parsing_time_taken": 0.0,
    "total_time_taken": 1.49,
    "request_url": "https://datasetsearch.research.google.com/search?docid=L2cvMTF3anByZHMzag%3D%3D",
    "html_url": "https://www.searchapi.io/api/v1/searches/search_rWMBG04LgyPXTLEEpb6NQzqD.html",
    "json_url": "https://www.searchapi.io/api/v1/searches/search_rWMBG04LgyPXTLEEpb6NQzqD"
  },
  "search_parameters": {
    "engine": "google_dataset_info",
    "dataset_id": "L2cvMTF3anByZHMzag=="
  },
  "dataset": {
    "dataset_id": "L2cvMTF3anByZHMzag==",
    "title": "Data from: Stony Brook University COVID-19 Positive Cases",
    "alternate_names": [
      "COVID-19-NY-SBU"
    ],
    "link": "https://www.cancerimagingarchive.net/collection/covid-19-ny-sbu/",
    "domain": "www.cancerimagingarchive.net",
    "sources": [
      {
        "link": "https://www.cancerimagingarchive.net/collection/covid-19-ny-sbu/",
        "domain": "www.cancerimagingarchive.net"
      },
      "..."
    ],
    "description": "This collection of cases was acquired at Stony Brook University from patients who tested positive for COVID-19. The collection includes images from different modalities and organ sites (chest radiographs, chest CTs, brain MRIs, etc.). Radiology imaging data is extremely important in COVID-19 from both a diagnostic and a monitoring perspective, given the crucial nature of COVID-19 pulmonary disease and its rapid phenotypic changes. The datasets are available for building AI systems for diagnostic and prognostic modeling.\nThis collection also includes associated clinical data for each patient. The clinical data consists of diagnoses, procedures, lab tests, covid19 specific data values (e.g., intubation status, symptoms at admission) and a set of derived data elements, which were used in analyses of this data. The clinical data is stored as a set of csv files which comply with OMOP Common Data Model data elements.\nThe images on the right show automated identification of regions of prognostic importance on baseline chest radiographs. The regions of highest prognostic importance (as determined by the AI algorithm) are observed primarily in lower lung regions, consistent with clinical findings on the corresponding CXRs.",
    "providers": [
      {
        "name": "The Cancer Imaging Archive"
      }
    ],
    "authors": [
      {
        "name": "The Cancer Imaging Archive"
      }
    ],
    "funders": [
      {
        "name": "National Cancer Institute",
        "link": "http://www.cancer.gov/",
        "thumbnail": "https://encrypted-tbn2.gstatic.com/images?q=tbn:ANd9GcS7NB7RQPb7hIm58FDibIcK7EHIcAb411pNTra5au610LJ15Ttl"
      }
    ],
    "formats": [
      {
        "format": "csv"
      },
      "..."
    ],
    "licenses": [
      {
        "link": "https://www.cancerimagingarchive.net/data-usage-policies-and-restrictions/"
      }
    ],
    "last_updated": "Aug 11, 2021",
    "extracted_last_updated": "2021-08-11",
    "period_covered": {
      "start_date": "2021-08-11",
      "end_date": "2021-08-11"
    },
    "area_covered": [
      "Stony Brook"
    ],
    "cited_by": {
      "total": 31,
      "link": "https://scholar.google.com/scholar?q=%2210.7937%20tcia%20bbag%202923%22%20OR%20%22cancerimagingarchive%20net%20collection%20covid%2019%20ny%20sbu%22"
    },
    "unique_identifier": "https://doi.org/10.7937/TCIA.BBAG-2923",
    "related_article": "https://doi.org/10.7937/tcia.bbag-2923",
    "citation": "The Cancer Imaging Archive (2021). Stony Brook University COVID-19 Positive Cases [Dataset]. http://doi.org/10.7937/TCIA.BBAG-2923"
  }
}