Live Google Dataset Info provides real-time data on the dataset you specify in the request. You will get data from a page of the dataset displayed separately from the SERP. It contains information about dataset content, authors, licenses, and description on the SERP.
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 parameters that are required or recommended for setting a task.
Main Parameters
| Field name | Type | Description |
|---|---|---|
dataset_id | string | ID of the dataset required field you can find dataset ID in the dataset URL or example:
|
language_code | string | search engine language code optional field if you use this field, you don't need to specify possible value:
|
device | string | device type optional field return results for a specific device type possible value: |
| Field name | Type | Description |
|---|---|---|
language_name | string | full name of search engine language optional field if you use this field, you don't need to specify possible value:
|
os | string | device operating system optional field possible values: default value: |
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 |
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 |
status_message | string | general informational message |
time | string | execution time, seconds |
cost | float | total tasks cost, USD |
tasks_count | integer | the number of tasks in the |
tasks_error | integer | the number of tasks in the |
tasks | array | array of tasks |
id | string | task identifier |
status_code | integer | status code of the task |
status_message | string | informational message of the task |
time | string | execution time, seconds |
cost | float | cost of the task, USD |
result_count | integer | number of elements in the |
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 |
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 |
datetime | string | date and time when the result was received |
spell | object | autocorrection of the search engine |
refinement_chips | object | search refinement chips |
item_types | array | types of search results in SERP |
se_results_count | integer | total number of results in SERP |
items_count | integer | the number of results returned in the |
items | array | elements of search results found in SERP |
type | string | type of element = 'dataset' |
rank_group | integer | group rank in SERP |
rank_absolute | integer | absolute rank in SERP |
position | string | the alignment of the element in SERP |
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 |
scholarly_citations_count | integer | count of articles that refer to the dataset |
links | array | sitelinks |
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 |
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 | domain where an URL points |
updated_date | string | date and time when the result was last updated |
area_covered | array | the list of areas covered in the dataset |
period_covered | object | period covered in the dataset |
start_date | string | date and time when the period starts |
end_date | string | date and time when the period ends |
displayed_date | string | period displayed in SERP |
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_info/live/advanced"
--header "Authorization: Basic ${cred}"
--header "Content-Type: application/json"
--data-raw '[
{
"dataset_id": "L2cvMTFqbl85ZHN6MQ=="
}
]'<?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(
"dataset_id" => "L2cvMTFqbl85ZHN6MQ=="
);
try {
// POST /v3/serp/google/dataset_info/live/advanced
// in addition to 'google' and 'dataset_info' 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_info/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_info/live/advanced',
auth: {
username: 'login',
password: 'password'
},
data: [{
"dataset_id" => "L2cvMTFqbl85ZHN6MQ=="
}],
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(
dataset_id="L2cvMTFqbl85ZHN6MQ=="
)
# POST /v3/serp/google/dataset_info/live/advanced
# in addition to 'google' and 'dataset_info' 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_info/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
{
dataset_id="L2cvMTFqbl85ZHN6MQ=="
});
// POST /v3/serp/google/dataset_info/live/advanced
// in addition to 'google' and 'dataset_info' 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_info/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": "0.1.20221214",
"status_code": 20000,
"status_message": "Ok.",
"time": "12.0954 sec.",
"cost": 0.002,
"tasks_count": 1,
"tasks_error": 0,
"tasks": [
{
"id": "01161747-1535-0139-0000-08e4f80efe02",
"status_code": 20000,
"status_message": "Ok.",
"time": "12.0367 sec.",
"cost": 0.002,
"result_count": 1,
"path": [
"v3",
"serp",
"google",
"dataset_info",
"live",
"advanced"
],
"data": {
"api": "serp",
"function": "live",
"se": "google",
"se_type": "dataset_info",
"dataset_id": "L2cvMTFqbl85ZHN6MQ==",
"device": "desktop",
"os": "windows"
},
"result": [
{
"keyword": "L2cvMTFqbl85ZHN6MQ==",
"se_domain": "datasetsearch.research.google.com",
"language_code": "en",
"check_url": "https://datasetsearch.research.google.com/search?docid=L2cvMTFqbl85ZHN6MQ%3D%3D&hl=en",
"datetime": "2023-01-16 15:48:06 +00:00",
"spell": null,
"refinement_chips": null,
"item_types": [
"dataset"
],
"se_results_count": 1,
"items_count": 1,
"items": [
{
"type": "dataset",
"rank_group": 1,
"rank_absolute": 1,
"position": "left",
"xpath": null,
"dataset_id": "L2cvMTFqbl85ZHN6MQ==",
"title": "Water quality in Canadian rivers – Federal data files",
"image_url": "https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcRSk0xXK2Wz-UFr7EbQBu8SrSbLPM82jfh3zL_BybsBwBiVnIzF",
"scholarly_citations_count": 1,
"links": [
{
"type": "link_element",
"title": "canada.ca",
"description": null,
"url": "http://open.canada.ca/",
"domain": "open.canada.ca"
}
],
"dataset_providers": [
{
"type": "dataset_providers_element",
"title": "Environment and Climate Change Canada",
"url": "http://www.ec.gc.ca/",
"domain": "www.ec.gc.ca"
}
],
"formats": [
{
"type": "formats_element",
"format": "html",
"size": null
},
{
"type": "formats_element",
"format": "csv",
"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": "2019-06-24 03:00:00 +00:00",
"area_covered": null,
"period_covered": {
"start_date": "2002-01-01 02:00:00 +00:00",
"end_date": "2017-12-31 02:00:00 +00:00",
"displayed_date": "Jan 1, 2002 - Dec 31, 2017"
},
"dataset_description": {
"text": "The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Water quality in Canadian rivers indicators provide a measure of the ability of river water across Canada to support plants and animals. At each monitoring site, water quality data are compared to water quality guidelines to create a rating for the site. If measured water quality is below the guidelines, it can maintain a healthy ecosystem. Water quality at a monitoring site is considered excellent when parameters in a river very rarely exceed their guidelines. Conversely, water quality is rated poor when parameters usually exceed their guidelines, sometimes by a wide margin. These indicators provide information about the state of surface water quality and its change through time, to support water resource management. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated. Supplemental Information Canadian Environmental Sustainability Indicators - Home page: https://www.canada.ca/environmental-indicatorsn",
"links": [
{
"type": "link_element",
"title": "https://www.canada.ca/environmental-indicators",
"description": null,
"url": "https://www.google.com/url?q=https%3A%2F%2Fwww.canada.ca%2Fenvironmental-indicators&source=datasetsearch",
"domain": null
}
]
}
}
]
}
]
}
]
}