Load Data from a URL#

If there’s a URL that you would like to load data from, you can connect to it and store its data in a dataset for publishing to your apps. Here you will do just that.

Creating a Dataset with Data from a URL#

  1. Click Create a Dataset at the top of the console or from the Datasets page. The Create a dataset page appears.

  2. For Source Type, choose URL. The Data Source selector appears.

    You can create a dataset from a new or existing data source. We’ll create a new data source.

  3. For Data Source, choose Create a source at the bottom of the list.

    The URL, Headers, and Save this data source options appear.

  4. If you want to save the data source for loading more data later, select the Save this data source? option.

    Note

    After creating the dataset, the data source will be saved with an auto-generated name. To find the data source, navigate to Sources and sort the list by Last Updated. The data source should be one most recently updated.

  5. Specify the URL that provides the data you want. The response data appears in the Response panel.

  6. If your URL requires any headers, add them under Headers as name/value pairs.

  7. If the URL response is in JSON, check your data’s location in the Response panel.

    • If the data you want is in the top level records (as shown in the image below), leave the JSONPath field blank.

    • If the data you want is nested deeper within the JSON object, specify the path to it in the JSONPath field. Refer to Access Nested JSON Data for more information on specifying JSONPath values.

    Important

    For JSON data, Apperate requires an array of objects.

    The URL below, for example, is good because it returns a JSON object array with all data in the top level objects.

  8. When you’re done specifying the data, click Create Dataset. Apperate creates the dataset, loads the data into it, and shows the dataset’s Overview page.

    Tip

    If data ingestion fails or you suspect issues, check the ingestion details in the overview’s Data Jobs page or navigate to Logs, and check the Log Stream or Ingestion Logs. For guidance, see Monitor Deployments.

  9. In the Overview page, fetch the last record by clicking on the Example Request URL. A browser tab opens to the URL and Apperate returns the record in a JSON object array. Here’s an example array:

    [
        {
            "change": -0.75,
            "changeOverTime": 47.831683168316836,
            "changePercent": -0.005,
            "close": 147.96,
            "date": "2022-06-08",
            "fClose": 147.96,
            "fHigh": 149.8697,
            "fLow": 147.46,
            "fOpen": 148.58,
            "fVolume": 53950201,
            "high": 149.8697,
            "id": "HISTORICAL_PRICES",
            "key": "AAPL",
            "label": "Jun 8, 22",
            "low": 147.46,
            "marketChangeOverTime": 47.831683168316836,
            "open": 148.58,
            "subkey": "",
            "symbol": "AAPL",
            "uClose": 147.96,
            "uHigh": 149.8697,
            "uLow": 147.46,
            "uOpen": 148.58,
            "updated": 1654736422000,
            "uVolume": 53950201,
            "volume": 53950201
        }
    ]
    

Congratulations! You loaded data from a URL into a dataset and it is ready to deliver that data to apps.

Note

To view the schema and optionally modify it, see Modify a Data Schema.

What’s Next#

Here are some things to explore doing with your new data and data source.