---
title: "Live Google Dataset Info Advanced"
url: "https://docs.dataforseo.com/v3/serp/google/dataset_info/live/advanced/"
date: "2026-06-06"
---

## Live Google Dataset Info Advanced

  
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.

 

 

 ![checked](https://docs.dataforseo.com/v3/wp-content/themes/dataforseo/assets/img/icons/checked-circle.svg) POST  https://api.dataforseo.com/v3/serp/google/dataset\_info/live/advanced     

      

Pricing

 Your account will be charged for each request.  
The cost can be calculated on the [Pricing](https://dataforseo.com/pricing/serp/google-dataset-info-serp-api "Pricing") page.

 

 All POST data should be sent in the [JSON](https://en.wikipedia.org/wiki/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 `dataset` item of [Google Dataset Search](https://docs.dataforseo.com/v3/serp/google/dataset_search/live/advanced.md) result  example:  `L2cvMTFqbl85ZHN6MQ==` |
| `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  return results for a specific device type  possible value: `desktop` |



  
Below you will find a drop-down list with the additional parameters you can use for setting a task.  
Additional Parameters| 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 `language_code`  possible value:  `English` |
| `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](https://en.wikipedia.org/wiki/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](https://docs.dataforseo.com/v3/appendix/errors.md)   **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](https://docs.dataforseo.com/v3/appendix/errors.md) |
| `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](https://en.wikipedia.org/wiki/Universally_unique_identifier) 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](https://docs.dataforseo.com/v3/appendix/errors.md) |
| `status_message` | string | *informational message of the task*   you can find the full list of general informational messages [here](https://docs.dataforseo.com/v3/appendix/errors.md) |
| `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` |
| `xpath` | string | *the [XPath](https://en.wikipedia.org/wiki/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* |
| `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*   foe 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 | *domain where an URL points* |
| `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_info/live/advanced" 
--header "Authorization: Basic ${cred}"  
--header "Content-Type: application/json" 
--data-raw '[
    {
        "dataset_id": "L2cvMTFqbl85ZHN6MQ=="
    }
]'
```





```php
<?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;
?>
```





```js
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);
});
```





```python
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"]))
```





```csharp
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
                  }
                ]
              }
            }
          ]
        }
      ]
    }
  ]
}
```









 

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