> For the complete documentation index, see [llms.txt](https://cortex-docs.paloaltonetworks.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cortex-docs.paloaltonetworks.com/cortex-xsoar-8-on-prem/8.12/configure-cortex-xsoar/lists/use-cases-json-lists.md).

# Use cases: JSON lists

List data can be stored in various structures, including JSON format. When accessing a valid JSON file from within a playbook, it is automatically parsed as a JSON object (list). Depending on how you store the data, you may need to [Transform a List into an Array](/cortex-xsoar-8-on-prem/8.12/configure-cortex-xsoar/lists/transform-a-list-into-an-array.md). For example, if using non-built-in commands in a script or you want to loop over list items, you should transform a list into an array. Working with a JSON file list in a playbook typically involves the following actions:

* Extract the data from a JSON object
* Extract a subset of the data
* Filter extracted data
* Apply transformers to extracted data. See [Filter and transform data](/cortex-xsoar-8-on-prem/8.12/configure-cortex-xsoar/playbooks/customize-your-playbook/filter-and-transform-data.md) for more details.

<details>

<summary>Extract data from a JSON object</summary>

Create a JSON list and use the **Set** automation to create a new context key that can extract the data from the list.

1. Create a List:
   1. In the Name field, type `Test1`.
   2. Select **Settings & Info** **Settings** **Advanced** **Lists** **Add a List**.
   3. In the **Content Type** field, select **JSON** and add the following content:

      ```programlisting
      {    
          "domain": {
              "name": "mwidomain",
              "prod_mode": "prod",
              "user": "weblogic",
              "admin": {
                  "servername": "AdminServer",
                  "listenport": "8001"
              },
              "machines": [
                  {
                      "refname": "Machine1",
                      "name": "MWINODE01"
                  },
                  {
                      "refname": "Machine2",
                      "name": "MWINODE02"
                  }
              ],
              "clusters": [
                  {
                      "refname": "Cluster1",
                      "name": "App1Cluster",
                      "machine": "Box1"
                  },
                  {
                      "refname": "Cluster1",
                      "name": "App2Cluster",
                      "machine": "Box2"
                  }
              ],
              "servers": [
                  {
                      "name": "ms1",
                      "port": 9001,
                      "machine": "Box1",
                      "clusterrefname": "Cluster1"
                  },
                  {
                      "name": "ms2",
                      "port": 9002,
                      "machine": "Box2",
                      "clusterrefname": "Cluster2"
                  }
              ]
          }
      }
      ```
   4. **Save** the list.
2. Create a playbook task with the **Set** automation:
   1. Select **Playbooks** → **New Playbook**.
   2. Name the playbook, and click Save.
   3. Click Create Task and provide a task name.
   4. In the **Choose Script** field, select **Set** .

      The **Set** script sets a value in context under the key entered.
   5. In the **key** field, define a context key name for the data. For example, JSONData.

      ![](/files/NIJRxgEK6FAQk0eccl0b)
   6. In the **value** field, set the list you want to extract by clicking the curly brackets.
   7. Click **Filters And Transformers**.
   8. In the **Get** field, click the curly brackets, and in the **Select source for value** section, select the list you created in step 1: **Test1**.
   9. In the **Fetch data** field, select an incident to test the data.
   10. Click **Test**.

       In this example, the test results have found the list data.

       ![](/files/H1qaN9tOx5Jy5h4DX1GU)
   11. When the test completes, click **Save**.
   12. Save the task and playbook.
3. Check all the data is stored in the context key you defined by testing the playbook using the debugger:
   1. Click **Run**.
   2. Open the **Debugger Panel**.

      The key you defined, JSONData, holds the data in context from the JSON object.

      ![](/files/o7ubISYG8GMF8q3HLxZx)

</details>

<details>

<summary>Extract a subset of the data</summary>

In general, you can extract subsets of context data in a playbook to analyze a specific information set. This also applies to working with lists, for example extracting a subset of the data from a JSON object. In this example, we want to extract server information from the list created above.

1. In a playbook, create a task.
   1. In the **Choose Script** field, select **Set** .
   2. In the **key** field, define a context key name for the data; for example, JSONDataSubset.
   3. In the **value** field, set the list you want to extract by clicking the curly brackets.
   4. Click **Filters And Transformers**.
   5. In the **Get** field, enter **`lists.Test1.domain.servers`**.
   6. In the **Fetch data** field, select an incident to test the data.
   7. Click **Test**.
   8. When the test completes, click **Save**.
   9. Save the task and the playbook.
2. Check that all the data is stored in the context key you defined by testing the playbook using the debugger.
   1. Click **`Run`** Debugger Panel.
   2. The key you defined (JSONDataSubset) holds the subset of the data in context from the JSON object.

      ![](/files/vRXaMLbLVBeB5ciq7yVw)

</details>

<details>

<summary>Filter extracted data</summary>

You can filter the data subset you extracted and analyze this information on a more granular level. In this example, you want to filter Box1 information from the list created in Extract the data from a JSON Object above.

1. Re-open the task you created above.
2. Click the **value** field.
3. Under **Filter**, click **Add Filter**.
4. Set the condition you want to filter.

   In this example, retrieve the list of machines named **`Box1`** from **`Test1`** list by setting the filter **`lists.Test1.domain.servers.machine Equals Box1`**.

   ![](/files/EIxbBRtowCq3GGE5naD7)
5. Click **Test**.
6. Check whether the data subset was accessed successfully by selecting the data source from an incident. You can see the results returned **`machine: Box1`**.

   ![](/files/afeZ6zQc8LLhBCV3qUht)

</details>

<details>

<summary>Apply transformers to extracted data</summary>

In general, in a playbook task, you can transform (apply changes) to the data you extracted. This also applies to working with lists, for example, to transform extracted data from a JSON object. In this example, we extract the first element in the list and transform the data to upper case from the list created in Extract data from a JSON object above.

1. Re-open the task, click the contents of the **value** field, and keep the current filters.
2. In the **Apply transformers on the field**, click **Add transformer**.
3. Add the following transformers to the extracted data:

   1. Add the **`Get index (General)`** transformer to extract a specific machine element.

      Set **`index: 0`** to extract the first element from the list.
   2. Add the **`To upper case (String`**) transformer.

      The **`To upper case (String)`** transformer does not work on lists, only on individual elements. Therefore, the **`Get index (General)`** transformer should be applied before adding the **`To upper case (String)`** transformer.

   ![](/files/cJN5cLo677mOA5S7WYhD)
4. In the **Fetch Data** field, select anincident to test and click **Test**.

</details>


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