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.
Instead of ‘login’ and ‘password’ use your credentials from https://app.dataforseo.com/api-dashboard
# Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-dashboard
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-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(
"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;
?>
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-dashboard
//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-indicators\n",
"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
}
]
}
}
]
}
]
}
]
}
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
dataset_id
string
ID of the dataset required field
you can find dataset ID in the dataset URL or dataset item of Google Dataset Search result
example: L2cvMTFqbl85ZHN6MQ==
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 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
possible values: windows, macos
default value: windows
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
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