Instead of ‘login’ and ‘password’ use your credentials from https://app.dataforseo.com/api-access
<?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-access
$client = new RestClient($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();
}
try {
$result = array();
// #1 - using this method you can get a list of completed tasks
// GET /v3/serp/google/dataset_search/tasks_ready
$tasks_ready = $client->get('/v3/serp/google/dataset_search/tasks_ready');
// you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
if (isset($tasks_ready['status_code']) AND $tasks_ready['status_code'] === 20000) {
foreach ($tasks_ready['tasks'] as $task) {
if (isset($task['result'])) {
foreach ($task['result'] as $task_ready) {
// #2 - using this method you can get results of each completed task
// GET /v3/serp/google/dataset_search/task_get/advanced/$id
if (isset($task_ready['endpoint_advanced'])) {
$result[] = $client->get($task_ready['endpoint_advanced']);
}
// #3 - another way to get the task results by id
// GET /v3/serp/google/dataset_search/task_get/advanced/$id
/*
if (isset($task_ready['id'])) {
$result[] = $client->get('/v3/serp/google/dataset_search/task_get/advanced/' . $task_ready['id']);
}
*/
}
}
}
}
print_r($result);
// do something with 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": "0.1023 sec.",
"cost": 0,
"tasks_count": 1,
"tasks_error": 0,
"tasks": [
{
"id": "10311838-1535-0066-0000-92614b7cd430",
"status_code": 20000,
"status_message": "Ok.",
"time": "0.0425 sec.",
"cost": 0,
"result_count": 1,
"path": [
"v3",
"serp",
"google",
"dataset_search",
"task_get",
"advanced",
"10311838-1535-0066-0000-92614b7cd430"
],
"data": {
"api": "serp",
"function": "task_get",
"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 16:38:09 +00:00",
"spell": null,
"refinement_chips": 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"
},
{
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"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"
}
],
"dataset_providers": [
{
"type": "dataset_providers_element",
"title": "Government of Ontario",
"url": null,
"domain": null
}
],
"formats": [
{
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"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": [
"The Great Lakes"
],
"period_covered": {
"start_date": "1990-01-01 03:00:00 +00:00",
"end_date": "2018-12-31 02:00:00 +00:00",
"displayed_date": "Jan 1, 1990 - Dec 31, 2018"
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Description of the fields for sending a request:
| Field name | Type | Description |
|---|---|---|
id |
string | task identifier unique task identifier in our system in the UUID format you will be able to use it within 30 days to request the results of the task at any time |
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.
You can also get all available SERP features and possible extra elements by making a request to the following Sandbox URL:
https://sandbox.dataforseo.com/v3/serp/google/dataset_search/task_get/advanced/00000000-0000-0000-0000-000000000000
The response will include all available items in the Google Dataset Search SERP Advanced endpoint with the fields containing dummy data.
You won’t be charged for using Sandbox endpoints.
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 |
refinement_chips |
object | search refinement chips |
type |
string | type of element = ‘refinement_chips’ |
xpath |
string | the XPath of the element |
items |
array | items of the element |
type |
string | type of element = ‘refinement_chips_element’ |
title |
string | title of the element |
url |
string | search URL with refinement parameters |
domain |
string | domain in SERP |
options |
array | further search refinement options |
type |
string | type of element = ‘refinement_chips_option’ |
title |
string | title of the element |
url |
string | search URL with refinement parameters |
domain |
string | domain in SERP |
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 valuespositions 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 | lisense 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 |