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Live Google Dataset Search Advanced


Live Google Dataset Search provides real-time data on the top 20 Google Dataset search engine results. These results are specific to the indicated keyword. You can specify other parameters optionally.

Instead of ‘login’ and ‘password’ use your credentials from https://app.dataforseo.com/api-dashboard

<?php
// You can download this file from here https://cdn.dataforseo.com/v3/examples/php/php_RestClient.zip
require('RestClient.php');
$api_url = 'https://api.dataforseo.com/';
try {
    // Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-dashboard
    $client = new RestClient($api_url, null, 'login', 'password');
} catch (RestClientException $e) {
    echo "n";
    print "HTTP code: {$e->getHttpCode()}n";
    print "Error code: {$e->getCode()}n";
    print "Message: {$e->getMessage()}n";
    print  $e->getTraceAsString();
    echo "n";
    exit();
}
$post_array = array();
// You can set only one task at a time
$post_array[] = array(
    "keyword" => "water quality",
    "last_updated" => "1m",
    "file_formats" => [ "archive", "image" ],
    "usage_rights" => "noncommercial",
    "is_free" => true,
    "topics" => [ "natural_sciences", "geo" ]
);
try {
    // POST /v3/serp/google/dataset_search/live/advanced
    // in addition to 'google' and 'dataset_search' you can also set other search engine and type parameters
    // the full list of possible parameters is available in documentation
    $result = $client->post('/v3/serp/google/dataset_search/live/advanced', $post_array);
    print_r($result);
    // do something with post result
} catch (RestClientException $e) {
    echo "n";
    print "HTTP code: {$e->getHttpCode()}n";
    print "Error code: {$e->getCode()}n";
    print "Message: {$e->getMessage()}n";
    print  $e->getTraceAsString();
    echo "n";
}
$client = null;
?>

The above command returns JSON structured like this:

{
  "version": "0.1.20230825",
  "status_code": 20000,
  "status_message": "Ok.",
  "time": "3.0987 sec.",
  "cost": 0.002,
  "tasks_count": 1,
  "tasks_error": 0,
  "tasks": [
    {
      "id": "10311832-1535-0139-0000-ebd1db5e3e39",
      "status_code": 20000,
      "status_message": "Ok.",
      "time": "3.0361 sec.",
      "cost": 0.002,
      "result_count": 1,
      "path": [
        "v3",
        "serp",
        "google",
        "dataset_search",
        "live",
        "advanced"
      ],
      "data": {
        "api": "serp",
        "function": "live",
        "se": "google",
        "se_type": "dataset_search",
        "keyword": "water quality",
        "last_updated": "1m",
        "file_formats": [
          "archive",
          "image"
        ],
        "usage_rights": "noncommercial",
        "is_free": true,
        "topics": [
          "natural_sciences",
          "geo"
        ],
        "device": "desktop",
        "os": "windows"
      },
      "result": [
        {
          "keyword": "water quality",
          "se_domain": "datasetsearch.research.google.com",
          "language_code": "en",
          "check_url": "https://datasetsearch.research.google.com/search?query=water%20quality&hl=en&filters=WyJbXCJ1cGRhdGVkX2RhdGVcIixbXCIxbVwiXV0iLCJbXCJmaWxlX2Zvcm1hdF9jbGFzc1wiLFtcIjdcIixcIjVcIl1dIiwiW1wibGljZW5zZV9jbGFzc1wiLFtcIm5vbmNvbW1lcmNpYWxcIl1dIiwiW1wiaXNfYWNjZXNzaWJsZV9mb3JfZnJlZVwiLFtdXSIsIltcImZpZWxkX29mX3N0dWR5XCIsW1wibmF0dXJhbF9zY2llbmNlc1wiLFwiZ2VvXCJdXSJd",
          "datetime": "2023-10-31 16:32:20 +00:00",
          "spell": null,
          "item_types": [
            "dataset"
          ],
          "se_results_count": 27,
          "items_count": 20,
          "items": [
            {
              "type": "dataset",
              "rank_group": 1,
              "rank_absolute": 1,
              "position": "left",
              "xpath": null,
              "dataset_id": "L2cvMTFsMzV2Z2t6Zg==",
              "title": "Watershed Water Quality Dataset",
              "image_url": "https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcTEZy0oMWhWvUyIPRL9Hsj3bz362JQgK3NRH7qNJs505n14FXyI",
              "scholarly_citations_count": null,
              "scholarly_articles_url": null,
              "unique_identifier": null,
              "related_article": null,
              "links": [
                {
                  "type": "link_element",
                  "title": "Kaggle",
                  "description": null,
                  "url": "http://www.kaggle.com/",
                  "domain": "www.kaggle.com"
                }
              ],
              "dataset_providers": null,
              "formats": [
                {
                  "type": "formats_element",
                  "format": "zip",
                  "size": 5921355
                }
              ],
              "authors": [
                {
                  "type": "authors_element",
                  "name": "Muhammad Usman",
                  "url": null,
                  "domain": null
                }
              ],
              "licenses": [
                {
                  "type": "licenses_element",
                  "title": "CC0 1.0 Universal Public Domain Dedication",
                  "url": "https://creativecommons.org/publicdomain/zero/1.0/",
                  "domain": "creativecommons.org"
                }
              ],
              "updated_date": "2023-10-03 03:00:00 +00:00",
              "area_covered": null,
              "period_covered": null,
              "dataset_description": {
                "text": "The \"Watershed Water Quality - Wastewater\" dataset is a comprehensive collection of routine wastewater treatment plant monitoring results spanning from 1987 to the present day. This dataset encompasses a wealth of information regarding the quality of water in various watersheds, making it a valuable resource for environmental researchers, policymakers, and water quality management professionals.\n\nUtilization of the Dataset:\n\nThe \"Watershed Water Quality - Wastewater\" dataset holds significant utility in multiple domains. Environmental scientists can use this dataset to conduct in-depth analyses of long-term trends in water quality, helping to identify pollution sources, assess the effectiveness of wastewater treatment processes, and inform policy decisions related to water quality regulations.\n",
                "links": null
              }
            },
            {
              "type": "dataset",
              "rank_group": 2,
              "rank_absolute": 2,
              "position": "left",
              "xpath": null,
              "dataset_id": "L2cvMTFuMDQ3dnFsZw==",
              "title": "Georgian Bay Water Quality",
              "image_url": "https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcSqDwx-mgL3ad2LqHoJnRHdauU8eFxZr0vxuVzMxnDWOKp2JiGd",
              "scholarly_citations_count": 4,
              "scholarly_articles_url": "https://scholar.google.com/scholar?q=%22georgian%20bay%20water%20quality%22",
              "unique_identifier": null,
              "related_article": null,
              "links": [
                {
                  "type": "link_element",
                  "title": "Government of Canada Open Government Portal",
                  "description": null,
                  "url": "http://open.canada.ca/",
                  "domain": "open.canada.ca"
                },
                {
                  "type": "link_element",
                  "title": "data.ontario.ca",
                  "description": null,
                  "url": "http://data.ontario.ca/",
                  "domain": "data.ontario.ca"
                },
                {
                  "type": "link_element",
                  "title": "test.data.ontario.ca",
                  "description": null,
                  "url": "http://test.data.ontario.ca/",
                  "domain": "test.data.ontario.ca"
                },
                {
                  "type": "link_element",
                  "title": "Government of Canada Open Government Portal",
                  "description": null,
                  "url": "http://ouvert.canada.ca/",
                  "domain": "ouvert.canada.ca"
                }
              ],
              "dataset_providers": [
                {
                  "type": "dataset_providers_element",
                  "title": "Government of Ontario",
                  "url": null,
                  "domain": null
                }
              ],
              "formats": [
                {
                  "type": "formats_element",
                  "format": "pdf",
                  "size": null
                },
                {
                  "type": "formats_element",
                  "format": "zip",
                  "size": null
                }
              ],
              "authors": null,
              "licenses": [
                {
                  "type": "licenses_element",
                  "title": "Open Government Licence - Canada 2.0",
                  "url": "https://open.canada.ca/en/open-government-licence-canada",
                  "domain": "open.canada.ca"
                }
              ],
              "updated_date": "2023-10-18 03:00:00 +00:00",
              "area_covered": [
                "Honey Harbour",
                "Tadenac Bay",
                "Georgian Bay",
                "Canada"
              ],
              "period_covered": {
                "start_date": "2003-01-01 02:00:00 +00:00",
                "end_date": "2005-12-31 02:00:00 +00:00",
                "displayed_date": "Jan 1, 2003 - Dec 31, 2005"
              },
              "dataset_description": {
                "text": "135 locations from Killarney to Honey Harbour were surveyed between 2003 and 2005 (3 times a year representing spring, summer and fall conditions) across a spectrum of environments along the eastern coast of Georgian Bay. The purposes include to: * identify the range of natural variability in water quality conditions in the coastal areas * better understand the interactions between the watershed and the open waters of Georgian Bay on water quality * provide insight on the human effects on water quality This information is used to establish a baseline to which future water quality conditions can be compared and to identify the factor(s) responsible for variable water quality conditions.\n",
                "links": null
              }
            },
            {
              "type": "dataset",
              "rank_group": 3,
              "rank_absolute": 3,
              "position": "left",
              "xpath": null,
              "dataset_id": "L2cvMTFwYzA4cmhqeg==",
              "title": "Logan River Observatory: South Logan Benson Canal at Benson Irrigation Company Flume, 2300 North 600 West Aquatic Site (SLB_600W_CNL) Quality Controlled Data",
              "image_url": null,
              "scholarly_citations_count": null,
              "scholarly_articles_url": null,
              "unique_identifier": null,
              "related_article": null,
              "links": [
                {
                  "type": "link_element",
                  "title": "HydroShare",
                  "description": null,
                  "url": "http://www.hydroshare.org/",
                  "domain": "www.hydroshare.org"
                },
                {
                  "type": "link_element",
                  "title": "search.dataone.org",
                  "description": null,
                  "url": "http://search.dataone.org/",
                  "domain": "search.dataone.org"
                }
              ],
              "dataset_providers": [
                {
                  "type": "dataset_providers_element",
                  "title": "HydroShare",
                  "url": null,
                  "domain": null
                }
              ],
              "formats": [
                {
                  "type": "formats_element",
                  "format": "zip",
                  "size": null
                }
              ],
              "authors": [
                {
                  "type": "authors_element",
                  "name": "Logan River Observatory",
                  "url": null,
                  "domain": null
                }
              ],
              "licenses": [
                {
                  "type": "licenses_element",
                  "title": "Attribution 4.0 (CC BY 4.0)",
                  "url": "https://creativecommons.org/licenses/by/4.0/",
                  "domain": "creativecommons.org"
                }
              ],
              "updated_date": "2023-10-21 03:00:00 +00:00",
              "area_covered": [
                "Logan",
                "Logan",
                "North America",
                "Rocky Mountains"
              ],
              "period_covered": null,
              "dataset_description": {
                "text": "This dataset contains quality control level 1 (QC1) data for all of the variables measured for the aquatic site on the South Logan Benson Canal at Benson Irrigation Company Flume, 2300 North 600 West (SLB_600W_CNL). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data. This site is currently operated as part of the Logan River Observatory.\n",
                "links": null
              }
            },
            {
              "type": "dataset",
              "rank_group": 4,
              "rank_absolute": 4,
              "position": "left",
              "xpath": null,
              "dataset_id": "L2cvMTFzbTZ3MnhoOQ==",
              "title": "Inland Lakes and Streams – Water Chemistry",
              "image_url": "https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcSqDwx-mgL3ad2LqHoJnRHdauU8eFxZr0vxuVzMxnDWOKp2JiGd",
              "scholarly_citations_count": null,
              "scholarly_articles_url": null,
              "unique_identifier": null,
              "related_article": null,
              "links": [
                {
                  "type": "link_element",
                  "title": "Government of Canada Open Government Portal",
                  "description": null,
                  "url": "http://open.canada.ca/",
                  "domain": "open.canada.ca"
                },
                {
                  "type": "link_element",
                  "title": "data.ontario.ca",
                  "description": null,
                  "url": "http://data.ontario.ca/",
                  "domain": "data.ontario.ca"
                },
                {
                  "type": "link_element",
                  "title": "test.data.ontario.ca",
                  "description": null,
                  "url": "http://test.data.ontario.ca/",
                  "domain": "test.data.ontario.ca"
                }
              ],
              "dataset_providers": [
                {
                  "type": "dataset_providers_element",
                  "title": "Government of Ontario",
                  "url": null,
                  "domain": null
                }
              ],
              "formats": [
                {
                  "type": "formats_element",
                  "format": "zip",
                  "size": null
                },
                {
                  "type": "formats_element",
                  "format": "pdf",
                  "size": null
                }
              ],
              "authors": null,
              "licenses": [
                {
                  "type": "licenses_element",
                  "title": "Open Government Licence - Canada 2.0",
                  "url": "https://open.canada.ca/en/open-government-licence-canada",
                  "domain": "open.canada.ca"
                }
              ],
              "updated_date": "2023-10-18 03:00:00 +00:00",
              "area_covered": null,
              "period_covered": {
                "start_date": "1976-01-01 03:00:00 +00:00",
                "end_date": "2020-12-31 02:00:00 +00:00",
                "displayed_date": "Jan 1, 1976 - Dec 31, 2020"
              },
              "dataset_description": {
                "text": "This data set includes information on water quality of lakes and streams across Ontario since 1976. It includes: * major anions and cations * nutrients * chlorophyll * metals Data were collected as part of routine monitoring of water quality of inland waters and for scientific and research purposes.\n",
                "links": null
              }
            },
            {
              "type": "dataset",
              "rank_group": 5,
              "rank_absolute": 5,
              "position": "left",
              "xpath": null,
              "dataset_id": "L2cvMTFyeTZfejU2cQ==",
              "title": "Environmental tracer data 2019",
              "image_url": null,
              "scholarly_citations_count": null,
              "scholarly_articles_url": null,
              "unique_identifier": null,
              "related_article": null,
              "links": [
                {
                  "type": "link_element",
                  "title": "data.gov.au",
                  "description": null,
                  "url": "http://data.gov.au/",
                  "domain": "data.gov.au"
                },
                {
                  "type": "link_element",
                  "title": "researchdata.edu.au",
                  "description": null,
                  "url": "http://researchdata.edu.au/",
                  "domain": "researchdata.edu.au"
                }
              ],
              "dataset_providers": [
                {
                  "type": "dataset_providers_element",
                  "title": "Bioregional Assessment Program",
                  "url": null,
                  "domain": null
                }
              ],
              "formats": [
                {
                  "type": "formats_element",
                  "format": "zip",
                  "size": null
                }
              ],
              "authors": null,
              "licenses": [
                {
                  "type": "licenses_element",
                  "title": "Attribution 4.0 (CC BY 4.0)",
                  "url": "https://creativecommons.org/licenses/by/4.0/",
                  "domain": "creativecommons.org"
                }
              ],
              "updated_date": "2023-10-08 03:00:00 +00:00",
              "area_covered": [
                "Australia"
              ],
              "period_covered": null,
              "dataset_description": {
                "text": "Abstract The database includes water quality and environmental tracer information for springs and nearby groundwater in the vicinity of Elsey National Park (near Mataranka in the Northern Territory) …Show full descriptionAbstract The database includes water quality and environmental tracer information for springs and nearby groundwater in the vicinity of Elsey National Park (near Mataranka in the Northern Territory) collected during a field campaign in October 2019. This information was used to identify the origin of groundwater at the springs, especially two regional flow paths of the Cambrian Limestone Aquifer, and the possibility of a contribution from deeper aquifer(s). Attribution Geological and Bioregional Assessment Program History Spring and groundwater samples were collected from the Mataranka Springs Complex between 16 - 20 October 2019. The locations of the springs and bores and the bore construction details can be found in Table S1. Note that bore RN034030 located in the Antrim Plateau Volcanics basalt was the only bore available in the area that had a screen located in a geological formation other than the CLA. The two largest springs (Rainbow Spring and Bitter Springs) flow at 0.3 – 0.8 m3 s–1 and generate short streams popular as tourist attractions before they cascade into the Roper River. Rainbow Springs has one cluster of vents over approximately a 10 m2 area generating the streamflow, whereas Bitter Springs appears to have many vents (>10) spread over a larger, densely vegetated area (~1000 m2) joining together to form a stream. Warloch Pond Spring is one of probably many vents discharging into Elsey Creek, whereas Fig Tree Spring discharges horizontally from a cavity in a tufa cliff along the riparian corridor of the Roper River. These smaller springs have not been gauged previously but are estimated to have a discharge <0.1 m3 s–1. To avoid degassing losses, the springs were sampled by either installing a small submersible pump in a vent or, at Fig Tree Spring, by inserting a tube in the cavity. Samples were collected from one of the Rainbow Spring vents, two of the Bitter Springs vents and from the Fig Tree and Warloch Pond Spring vents (with, for selected analytes, two additional surface water samples collected from the Bitter Spring stream downstream from the vents). For groundwater samples, a submersible pump was lowered to the screen interval and the bore casing was dewatered for at least three bore volumes before sample collection was initiated. A YSITM multi-parameter probe (www.ysi.com) was used to measure pH, specific electrical conductance (EC), temperature and dissolved oxygen concentrations. For major and minor elements, samples were filtered through a 0.45 m membrane filter and (for cations) acidified with (1% v/v HNO3). Alkalinity was measured in the field using a HACHTM titration kit (www.hach.com). Delta-18O and 2H samples were stored in 28 mL gas-tight glass bottles (McCartney). Tritium, 13C-Dissolved Inorganic Carbon (DIC) and 14C-DIC samples were stored in 1 L HDPE bottles, unfiltered with no headspace and with no preservative. Sr (and strontium isotopes) samples were collected unfiltered in 125 mL plastic bottles. Spring and groundwater samples for noble gases were collected using the copper tube method. Major and minor cations were analysed by a SPECTRO CIROS Radial Inductively Coupled Plasma Optical Emission Spectrometer and anions using a Dionex ICS-2500 Ion Chromatrograph at CSIRO Land & Water Analytical Services, Adelaide, South Australia. The charge balance error on the major ion measurements was ±5%. Strontium and 87Sr/86Sr were measured by Inductively-Coupled Mass Spectrometry at the CSIRO Land & Water Analytical Services. Stable isotopes of water were measured by Isotope Ratio Mass Spectrometry at GNS, New Zealand with a precision of 0.1‰ and 1.0‰, for 18O and 2H, respectively. Noble gases were measured at the CSIRO Land & Water Noble Gas Laboratory using offline separation of gases from water by cryogenic techniques, separation of reactive gases from noble gases using catalyst and getter systems and separation of the noble gas fractions using cryogenic techniques down to 13 K. Total gas content was evaluated using a spinning rotor gauge, the isotopic composition quadrupole mass spectrometers and a high-resolution Helix MC noble gas mass-spectrometer (Suckow et al. 2019). Tritium was measured by electrolytic enrichment and liquid scintillation counting with a detection limit of 0.025 TU42. Radiocarbon and 13C-DIC were measured by accelerator mass spectrometry and Isotope Ratio Mass Spectrometry at the Rafter Radiocarbon Laboratory with an accuracy of 0.2‰ for 13C and a detection limit of 0.5% Modern Carbon (pmC) for 14C.\n",
                "links": [
                  {
                    "type": "link_element",
                    "title": "www.ysi.com",
                    "description": null,
                    "url": "https://www.google.com/url?q=http%3A%2F%2Fwww.ysi.com&source=datasetsearch",
                    "domain": null
                  },
                  {
                    "type": "link_element",
                    "title": "www.hach.com",
                    "description": null,
                    "url": "https://www.google.com/url?q=http%3A%2F%2Fwww.hach.com&source=datasetsearch",
                    "domain": null
                  }
                ]
              }
            },
            {
              "type": "dataset",
              "rank_group": 6,
              "rank_absolute": 6,
              "position": "left",
              "xpath": null,
              "dataset_id": "L2cvMTFteHh6MjkwaA==",
              "title": "Logan River Observatory: Logan River at Wood Camp Bridge (LR_WCB_A) Raw Data",
              "image_url": null,
              "scholarly_citations_count": null,
              "scholarly_articles_url": null,
              "unique_identifier": null,
              "related_article": null,
              "links": [
                {
                  "type": "link_element",
                  "title": "HydroShare",
                  "description": null,
                  "url": "http://www.hydroshare.org/",
                  "domain": "www.hydroshare.org"
                },
                {
                  "type": "link_element",
                  "title": "search.dataone.org",
                  "description": null,
                  "url": "http://search.dataone.org/",
                  "domain": "search.dataone.org"
                }
              ],
              "dataset_providers": [
                {
                  "type": "dataset_providers_element",
                  "title": "HydroShare",
                  "url": null,
                  "domain": null
                }
              ],
              "formats": [
                {
                  "type": "formats_element",
                  "format": "zip",
                  "size": null
                }
              ],
              "authors": [
                {
                  "type": "authors_element",
                  "name": "Logan River Observatory",
                  "url": null,
                  "domain": null
                }
              ],
              "licenses": [
                {
                  "type": "licenses_element",
                  "title": "Attribution 4.0 (CC BY 4.0)",
                  "url": "https://creativecommons.org/licenses/by/4.0/",
                  "domain": "creativecommons.org"
                }
              ],
              "updated_date": "2023-10-19 03:00:00 +00:00",
              "area_covered": [
                "Logan River at Wood Camp Bridge",
                "North America",
                "Wasatch Range",
                "Rocky Mountains"
              ],
              "period_covered": null,
              "dataset_description": {
                "text": "This dataset contains raw data for all of the variables measured for the aquatic site on the Logan River at the Wood Camp Bridge (LR_WCB_A). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column. This site is currently operated as part of the Logan River Observatory.\n",
                "links": null
              }
            },
            {
              "type": "dataset",
              "rank_group": 7,
              "rank_absolute": 7,
              "position": "left",
              "xpath": null,
              "dataset_id": "L2cvMTF0MmM5bnZobg==",
              "title": "Benthic Invertebrate Community (Great Lakes nearshore areas)",
              "image_url": "https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcSqDwx-mgL3ad2LqHoJnRHdauU8eFxZr0vxuVzMxnDWOKp2JiGd",
              "scholarly_citations_count": null,
              "scholarly_articles_url": null,
              "unique_identifier": null,
              "related_article": null,
              "links": [
                {
                  "type": "link_element",
                  "title": "Government of Canada Open Government Portal",
                  "description": null,
                  "url": "http://open.canada.ca/",
                  "domain": "open.canada.ca"
                },
                {
                  "type": "link_element",
                  "title": "data.ontario.ca",
                  "description": null,
                  "url": "http://data.ontario.ca/",
                  "domain": "data.ontario.ca"
                },
                {
                  "type": "link_element",
                  "title": "test.data.ontario.ca",
                  "description": null,
                  "url": "http://test.data.ontario.ca/",
                  "domain": "test.data.ontario.ca"
                },
                {
                  "type": "link_element",
                  "title": "Government of Canada Open Government Portal",
                  "description": null,
                  "url": "http://ouvert.canada.ca/",
                  "domain": "ouvert.canada.ca"
                }
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                "text": "The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month.\n\nData publication: 2023-09-29\n\nSupplemental Information:\n\nNo data value: -9999\n\nUnit : mm/month\n\nScale Factor : 0.1\n\nMap code : L3-AETI-M\n\nScale factor: The pixel value in the downloaded data must be multiplied by \n\nNew dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.\n\nCitation:\n\nFAO WaPOR database, License: CC BY-NC-SA 4.0, [Date accessed: Day/Month/Year]\n\nContact points:\n\nResource Contact: WaPOR\n\nMetadata Contact: WaPOR\n\nData lineage:\n\nThe calculation is based on the WaPOR-ETLook model described in the Wapor methodology document. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month. See the methodology of the evapotranspiration data components (E, T and I) for further information.\n\nData component are developed through collaboration with eLEAF. More information can be found on the WaPOR Website.\n\nResource constraints:\n\nCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)\n\nOnline resources:\n\nDownload the data from the bucket\n",
                "links": [
                  {
                    "type": "link_element",
                    "title": "WaPOR",
                    "description": null,
                    "url": "https://www.google.com/url?q=mailto%3Awapor%40fao.org&source=datasetsearch",
                    "domain": null
                  },
                  {
                    "type": "link_element",
                    "title": "WaPOR",
                    "description": null,
                    "url": "https://www.google.com/url?q=mailto%3Awapor%40fao.org&source=datasetsearch",
                    "domain": null
                  },
                  {
                    "type": "link_element",
                    "title": "Wapor methodology document",
                    "description": null,
                    "url": "https://www.google.com/url?q=https%3A%2F%2Fbitbucket.org%2Fcioapps%2Fwapor-et-look%2Fwiki%2FHome&source=datasetsearch",
                    "domain": null
                  },
                  {
                    "type": "link_element",
                    "title": "methodology of the evapotranspiration data components (E, T and I)",
                    "description": null,
                    "url": "https://www.google.com/url?q=https%3A%2F%2Fbitbucket.org%2Fcioapps%2Fwapor-et-look%2Fwiki%2FWaPOR_data_components_and_methodology%2FAETI&source=datasetsearch",
                    "domain": null
                  },
                  {
                    "type": "link_element",
                    "title": "WaPOR Website",
                    "description": null,
                    "url": "https://www.google.com/url?q=http%3A%2F%2Fwww.fao.org%2Fin-action%2Fremote-sensing-for-water-productivity%2Fen%2F&source=datasetsearch",
                    "domain": null
                  },
                  {
                    "type": "link_element",
                    "title": "Download the data from the bucket",
                    "description": null,
                    "url": "https://www.google.com/url?q=https%3A%2F%2Fconsole.cloud.google.com%2Fstorage%2Fbrowser%2Ffao-gismgr-wapor-3-data%2FDATA%2FWAPOR-3%2FMOSAICSET%2FL3-AETI-M&source=datasetsearch",
                    "domain": null
                  }
                ]
              }
            }
          ]
        }
      ]
    }
  ]
}

All POST data should be sent in the JSON format (UTF-8 encoding). When setting a task, you should send all task parameters in the task array of the generic POST array. You can send up to 2000 API calls per minute, each Live SERP API call can contain only one task.

Below you will find a detailed description of the fields you can use for setting a task.

Description of the fields for setting a task:

Field name Type Description
keyword string keyword
required field
you can specify up to 700 symbols in the keyword field
all %## will be decoded (plus symbol ‘+’ will be decoded to a space character)
if you need to use the “%” symbol for your keyword, please specify it as “%25”;
if you need to use the “+” symbol for your keyword, please specify it as “%2B”;
language_name string full name of search engine language
optional field
if you use this field, you don’t need to specify language_code
possible value:
English
language_code string search engine language code
optional field if you don’t specify language_name
if you use this field, you don’t need to specify language_name
possible value:
en
device string device type
optional field
possible value: desktop
os string device operating system
optional field
choose from the following values: windows, macos
default value: windows
depth integer parsing depth
optional field
number of results in SERP
default value: 20
max value: 700
Note: your account will be billed per each SERP containing up to 20 results;
thus, setting a depth above 20 may result in additional charges if the search engine returns more than 20 results;
if the specified depth is higher than the number of results in the response, the difference will be refunded automatically to your account balance
last_updated string last time the dataset was updated
optional field
possible values: 1m, 1y, 3y
file_formats array file formats of the dataset
optional field
possible values: other, archive, text, image, document, tabular
usage_rights string usage rights of the dataset
optional field
possible values: commercial, noncommercial
is_free boolean indicates whether displayed datasets are free
optional field
possible values: true, false
topics array dataset topics
optional field
possible values: humanities, social_sciences, life_sciences, agriculture, natural_sciences, geo, computer, architecture_and_urban_planning, engineering
tag string user-defined task identifier
optional field
the character limit is 255
you can use this parameter to identify the task and match it with the result
you will find the specified tag value in the data object of the response

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As a response of the API server, you will receive JSON-encoded data containing a tasks array with the information specific to the set tasks.

Description of the fields in the results array:

Field name Type Description
version string the current version of the API
status_code integer general status code
you can find the full list of the response codes here
Note: we strongly recommend designing a necessary system for handling related exceptional or error conditions
status_message string general informational message
you can find the full list of general informational messages here
time string execution time, seconds
cost float total tasks cost, USD
tasks_count integer the number of tasks in the tasks array
tasks_error integer the number of tasks in the tasks array returned with an error
tasks array array of tasks
        id string task identifier
unique task identifier in our system in the UUID format
        status_code integer status code of the task
generated by DataForSEO; can be within the following range: 10000-60000
you can find the full list of the response codes here
        status_message string informational message of the task
you can find the full list of general informational messages here
        time string execution time, seconds
        cost float cost of the task, USD
        result_count integer number of elements in the result array
        path array URL path
        data object contains the same parameters that you specified in the POST request
        result array array of results
            keyword string keyword received in a POST array
the keyword is returned with decoded %## (plus symbol ‘+’ will be decoded to a space character)
            se_domain string search engine domain in a POST array
            language_code string language code in a POST array
            check_url string direct URL to search engine results
you can use it to make sure that we provided accurate results
            datetime string date and time when the result was received
in the UTC format: “yyyy-mm-dd hh-mm-ss +00:00”
example:
2019-11-15 12:57:46 +00:00
            spell object autocorrection of the search engine
if the search engine provided results for a keyword that was corrected, we will specify the keyword corrected by the search engine and the type of autocorrection
            item_types array types of search results in SERP
contains types of search results (items) found in SERP.
possible item type: dataset
            se_results_count integer total number of results in SERP
            items_count integer the number of results returned in the items array
            items array elements of search results found in SERP
                type string type of element = ‘dataset’
                rank_group integer group rank in SERP
position within a group of elements with identical type values
positions of elements with different type values are omitted from rank_group
                rank_absolute integer absolute rank in SERP
absolute position among all the elements in SERP
                position string the alignment of the element in SERP
can take the following values:
left, right
                xpath string the XPath of the element
                dataset_id string ID of the dataset
                title string title of the result in SERP
                image_url string URL of the image
the URL leading to the image on the original resource or DataForSEO storage (in case the original source is not available)
                scholarly_citations_count integer count of articles that refer to the dataset
                scholarly_articles_url string url of scholarly articles
link to the list of scholarly articles on Google Scholar
example: https://scholar.google.com/scholar?q=%2210.6084%20m9%20figshare%207427933%20v1%22
                unique_identifier string digital identifier of an object
unique digital identifier of the dataset
example: https://doi.org/10.5061/dryad.hmgqnk9m3
                related_article string link to related article
link to the published article that is related to the dataset
                links array sitelinks
the links shown below some of Google Dataset’s search results
if there are none, equals null
                    type string type of element = ‘link_element
                    title string title of the result in SERP
                    description string description of the results element in SERP
                    url string sitelink URL
                    domain string domain in SERP
                dataset_providers array the list of institutions that provided the dataset
                    type string type of element = ‘dataset_providers_element
                    title string name of the dataset provider
                    url string site URL of the dataset provider
                    domain string site domain of the dataset provider
                formats array the list of file formats of the dataset
                    type string type of element = ‘formats_element
                    format string type of file format of the dataset
for example: zip, html, csv
                    size string file size in bytes
                authors array the list of authors of the dataset
                    type string type of element = ‘authors_element
                    name string name of the dataset author
                    url string author’s link URL
                    domain string author’s link domain
                licenses array the list of licenses issued to the dataset
                    type string type of element = ‘licenses_element
                    title string name of the license
                    url string license URL
                    domain string license page domain
                updated_date string date and time when the result was last updated
in the UTC format: “yyyy-mm-dd hh-mm-ss +00:00”
example:
2022-11-27 02:00:00 +00:00
                area_covered array the list of areas covered in the dataset
for example: Africa, Global
                period_covered object period covered in the dataset
                    start_date string date and time when the period starts
in the UTC format: “yyyy-mm-dd hh-mm-ss +00:00”
example:
2020-03-02 02:00:00 +00:00
                    end_date string date and time when the period ends
in the UTC format: “yyyy-mm-dd hh-mm-ss +00:00”
example:
2022-12-09 02:00:00 +00:00
                    displayed_date string period displayed in SERP
example:
Mar 2, 2020 - Dec 9, 2022
                dataset_description object description of the dataset
                    text string text of the description
                    links array links featured in the ‘dataset_description’
                       type string type of element = ‘link_element
                       title string link anchor text
                       description string description of the results element in SERP
                       url string URL link
                       domain string domain in SERP

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