--- title: "Get Google Dataset Info Advanced Results by id" url: "https://docs.dataforseo.com/v3/serp/google/dataset_info/task_get/advanced/" date: "2026-06-06" --- ## Get Google Dataset Info Advanced Results by id ![checked](https://docs.dataforseo.com/v3/wp-content/themes/dataforseo/assets/img/icons/checked-circle.svg) GET https://api.dataforseo.com/v3/serp/google/dataset\_info/task\_get/advanced/$id Pricing Your account will be charged only for posting a task. You can get the results of the task within the next 30 days for free. The cost can be calculated on the [Pricing](https://dataforseo.com/pricing/serp/google-dataset-info-serp-api "Pricing") page. **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](https://en.wikipedia.org/wiki/Universally_unique_identifier) 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](https://en.wikipedia.org/wiki/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](https://docs.dataforseo.com/v3/appendix/sandbox.md) URL: `https://sandbox.dataforseo.com/v3/serp/google/dataset_info/task_get/advanced/00000000-0000-0000-0000-000000000000` The response will include all available items in the Google Dataset Info SERP Advanced endpoint with the fields containing dummy data. You won’t be charged for using [Sandbox](https://docs.dataforseo.com/v3/appendix/sandbox.md) 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](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 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* | | `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)" id="02261816-2027-0066-0000-c27d02864073" curl --location --request GET "https://api.dataforseo.com/v3/serp/google/dataset_info/task_get/advanced/${id}" --header "Authorization: Basic ${cred}" --header "Content-Type: application/json" --data-raw "" ``` ```php getHttpCode()}n"; print "Error code: {$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_info/tasks_ready $tasks_ready = $client->get('/v3/serp/google/dataset_info/tasks_ready'); // you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors if (isset($tasks_ready['status_code']) AND $tasks_ready['status_code'] === 20000) { foreach ($tasks_ready['tasks'] as $task) { if (isset($task['result'])) { foreach ($task['result'] as $task_ready) { // #2 - using this method you can get results of each completed task // GET /v3/serp/google/dataset_info/task_get/advanced/$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_info/task_get/advanced/$id /* if (isset($task_ready['id'])) { $result[] = $client->get('/v3/serp/google/dataset_info/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"; } $client = null; ?> ``` ```js const task_id = '02231256-2604-0066-2000-57133b8fc54e'; const axios = require('axios'); axios({ method: 'get', url: 'https://api.dataforseo.com/v3/serp/google/dataset_info/task_get/advanced/' + task_id, auth: { username: 'login', password: 'password' }, headers: { 'content-type': 'application/json' } }).then(function (response) { var result = response['data']['tasks']; // Result data console.log(result); }).catch(function (error) { console.log(error); }); ``` ```python from client import RestClient # You can download this file from here https://cdn.dataforseo.com/v3/examples/python/python_Client.zip client = RestClient("login", "password") # 1 - using this method you can get a list of completed tasks # GET /v3/serp/google/dataset_info/tasks_ready response = client.get("/v3/serp/google/dataset_info/tasks_ready") # you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors if response['status_code'] == 20000: results = [] for task in response['tasks']: if (task['result'] and (len(task['result']) > 0)): for resultTaskInfo in task['result']: # 2 - using this method you can get results of each completed task # GET /v3/serp/google/dataset_ifo/task_get/advanced/$id if(resultTaskInfo['endpoint_advanced']): results.append(client.get(resultTaskInfo['endpoint_advanced'])) ''' # 3 - another way to get the task results by id # GET /v3/serp/google/dataset_info/task_get/advanced/$id if(resultTaskInfo['id']): results.append(client.get("/v3/serp/google/dataset_info/task_get/advanced/" + resultTaskInfo['id'])) ''' print(results) # do something with result else: print("error. Code: %d Message: %s" % (response["status_code"], response["status_message"])) ``` ```csharp using Newtonsoft.Json; using System; using System.Collections.Generic; using System.Net.Http; using System.Net.Http.Headers; using System.Text; using System.Threading.Tasks; namespace DataForSeoDemos { public static partial class Demos { public static async Task serp_task_get() { var httpClient = new HttpClient { BaseAddress = new Uri("https://api.dataforseo.com/"), // Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-access DefaultRequestHeaders = { Authorization = new AuthenticationHeaderValue("Basic", Convert.ToBase64String(Encoding.ASCII.GetBytes("login:password"))) } }; // #1 - using this method you can get a list of completed tasks // GET /v3/serp/google/dataset_info/tasks_ready var response = await httpClient.GetAsync("/v3/serp/google/dataset_info/tasks_ready"); var tasksInfo = JsonConvert.DeserializeObject(await response.Content.ReadAsStringAsync()); var tasksResponses = new List(); // you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors if (tasksInfo.status_code == 20000) { if (tasksInfo.tasks != null) { foreach (var tasks in tasksInfo.tasks) { if (tasks.result != null) { foreach (var task in tasks.result) { if (task.endpoint_advanced != null) { // #2 - using this method you can get results of each completed task // GET /v3/serp/google/dataset_info/task_get/advanced/$id var taskGetResponse = await httpClient.GetAsync((string)task.endpoint_advanced); var taskResultObj = JsonConvert.DeserializeObject(await taskGetResponse.Content.ReadAsStringAsync()); if (taskResultObj.tasks != null) { var fst = taskResultObj.tasks.First; // you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors if (fst.status_code >= 40000 || fst.result == null) Console.WriteLine($"error. Code: {fst.status_code} Message: {fst.status_message}"); else tasksResponses.Add(fst.result); } // #3 - another way to get the task results by id // GET /v3/serp/google/dataset_info/task_get/advanced/$id /* var tasksGetResponse = await httpClient.GetAsync("/v3/serp/google/dataset_info/task_get/advanced/" + (string)task.id); var tasksResultObj = JsonConvert.DeserializeObject(await tasksGetResponse.Content.ReadAsStringAsync()); if (tasksResultObj.tasks != null) { var fst = taskResultObj.tasks.First; // you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors if (fst.status_code >= 40000 || fst.result == null) Console.WriteLine($"error. Code: {fst.status_code} Message: {fst.status_message}"); else tasksResponses.Add(fst.result); } */ } } } } } if (tasksResponses.Count > 0) // do something with result Console.WriteLine(String.Join(Environment.NewLine, tasksResponses)); else Console.WriteLine("No completed tasks"); } else Console.WriteLine($"error. Code: {tasksInfo.status_code} Message: {tasksInfo.status_message}"); } } } ``` > The above command returns JSON structured like this: ``` { "version": "0.1.20221214", "status_code": 20000, "status_message": "Ok.", "time": "0.0729 sec.", "cost": 0, "tasks_count": 1, "tasks_error": 0, "tasks": [ { "id": "12161540-4426-0066-0000-2ae254b4bde6", "status_code": 20000, "status_message": "Ok.", "time": "0.0187 sec.", "cost": 0, "result_count": 1, "path": [ "v3", "serp", "google", "dataset_info", "task_get", "advanced", "12161540-4426-0066-0000-2ae254b4bde6" ], "data": { "api": "serp", "function": "task_get", "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": "2022-12-16 13:41:03 +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 } ] } } ] } ] } ] } ``` cURL php Node.js Python cSharp