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.
POST
Your account will be charged for each request.
The cost can be calculated on the Pricing page.
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 characters in the keyword fieldall %## will be decoded (plus character ‘+’ will be decoded to a space character) if you need to use the “%” character for your keyword, please specify it as “%25”;if you need to use the “+” character for your keyword, please specify it as “%2B”;
learn more about rules and limitations of |
language_name |
string | full name of search engine language optional field if you use this field, you don’t need to specify language_codepossible value: English |
language_code |
string | search engine language code optional field if you don’t specify language_nameif you use this field, you don’t need to specify language_namepossible value: en |
device |
string | device type optional field possible value: desktop |
os |
string | device operating system optional field choose from the following values: windows, macosdefault value: windows |
depth |
integer | parsing depth optional field number of results in SERP default value: 20max value: 700
|
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 |
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 character ‘+’ 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 | 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 |
Instead of ‘login’ and ‘password’ use your credentials from https://app.dataforseo.com/api-access
# Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-access
login="login"
password="password"
cred="$(printf ${login}:${password} | base64)"
curl --location --request POST "https://api.dataforseo.com/v3/serp/google/dataset_search/live/advanced"
--header "Authorization: Basic ${cred}"
--header "Content-Type: application/json"
--data-raw "[
{
"keyword": "water quality",
"last_updated": "1m",
"file_formats": [ "archive", "image" ],
"usage_rights": "noncommercial",
"is_free": true,
"topics": [ "natural_sciences", "geo" ]
}
]"<?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();
}
$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;
?>const axios = require('axios');
axios({
method: 'post',
url: 'https://api.dataforseo.com/v3/serp/google/dataset_search/live/advanced',
auth: {
username: 'login',
password: 'password'
},
data: [{
"keyword" => "water quality",
"last_updated" => "1m",
"file_formats" => [ "archive", "image" ],
"usage_rights" => "noncommercial",
"is_free" => true,
"topics" => [ "natural_sciences", "geo" ]
}],
headers: {
'content-type': 'application/json'
}
}).then(function (response) {
var result = response['data']['tasks'];
// Result data
console.log(result);
}).catch(function (error) {
console.log(error);
});from client import RestClient
# You can download this file from here https://cdn.dataforseo.com/v3/examples/python/python_Client.zip
client = RestClient("login", "password")
post_data = dict()
# You can set only one task at a time
post_data[len(post_data)] = dict(
keyword="water quality",
last_updated="1m",
file_formats=[ "archive", "image" ],
usage_rights="noncommercial",
is_free=true,
topics=[ "natural_sciences", "geo" ]
)
# 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
response = client.post("/v3/serp/google/dataset_search/live/advanced", post_data)
# you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
if response["status_code"] == 20000:
print(response)
# do something with result
else:
print("error. Code: %d Message: %s" % (response["status_code"], response["status_message"]))using Newtonsoft.Json;
using System;
using System.Collections.Generic;
using System.Net.Http;
using System.Threading.Tasks;
namespace DataForSeoDemos
{
public static partial class Demos
{
public static async Task serp_live_advanced()
{
var httpClient = new HttpClient
{
BaseAddress = new Uri("https://api.dataforseo.com/"),
// Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-access
//DefaultRequestHeaders = { Authorization = new AuthenticationHeaderValue("Basic", Convert.ToBase64String(Encoding.ASCII.GetBytes("login:password"))) }
};
var postData = new List<object>();
// You can set only one task at a time
postData.Add(new
{
keyword="water quality",
last_updated="1m",
file_formats=[ "archive", "image" ],
usage_rights="noncommercial",
is_free=true,
topics=[ "natural_sciences", "geo" ]
});
// 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
var taskPostResponse = await httpClient.PostAsync("/v3/serp/google/dataset_search/live/advanced", new StringContent(JsonConvert.SerializeObject(postData)));
var result = JsonConvert.DeserializeObject<dynamic>(await taskPostResponse.Content.ReadAsStringAsync());
// you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
if (result.status_code == 20000)
{
// do something with result
Console.WriteLine(result);
}
else
Console.WriteLine($"error. Code: {result.status_code} Message: {result.status_message}");
}
}
}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,
"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.nnUtilization of the Dataset:nnThe "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,
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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.nnData publication: 2023-09-29nnSupplemental Information:nnNo data value: -9999nnUnit : mm/monthnnScale Factor : 0.1nnMap code : L3-AETI-MnnScale factor: The pixel value in the downloaded data must be multiplied by nnNew 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.nnCitation:nnFAO WaPOR database, License: CC BY-NC-SA 4.0, [Date accessed: Day/Month/Year]nnContact points:nnResource Contact: WaPORnnMetadata Contact: WaPORnnData lineage:nnThe 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.nnData component are developed through collaboration with eLEAF. More information can be found on the WaPOR Website.nnResource constraints:nnCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)nnOnline resources:nnDownload the data from the bucketn",
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