![]() The target document format can be PDF, DOC, DOCX, XLS, XLSX, PPT, PPTX, HTML, TXT, CSV, RTF, ODT, ODS, ODP, XPS or. You'll then need to use an Expand operation to combine the lines together. Click the 'Choose Files' button to select multiple files on your computer or click the dropdown button to choose an online file from URL, Google Drive or Dropbox. ![]() If you're trying to load a JSON Lines file, the following sample M code converts all JSON Lines input to a single flattened table automatically: let Or you might be trying to load a JSON Lines file. 5 Import the preferred JSON file From the standard import. If you see the following message, it might be because the file is invalid, for example, it's not really a JSON file, or is malformed. 4 Go to the From JSON option From under the Get & Transform Datasection, you must now click on Get Data > From File > From JSON. Previously, users had to flatten records and lists manually. With the addition of automatic table detection capabilities, using the JSON connector in Power Query will automatically apply transformation steps to flatten the JSON data into a table. Here is an example of JSON file with multiple levels of nested data. ![]() Importing data from JSON files (or Web APIs) can be challenging for end users. Automatic table detection from JSON files To load a JSON file from the web, select the Web connector, enter the web address of the file, and follow any credential prompts. More information: Automatic table detection from JSON files From the editor, you can then continue to transform the data if you want, or you can just save and close to load the data. Power Query uses automatic table detection to seamlessly flatten the JSON data into a table. Loading the JSON file will automatically launch the Power Query Editor. If authentication is required, enter your credentials. Select an on-premises data gateway from Data gateway. Load a local JSON file from Power Query Online From the editor, you can then continue to transform the data if you want, or you can just close and apply. This selection launches a local file browser where you can select your JSON file. Select the JSON option in the Get Data selection. Load a local JSON file from Power Query Desktop Some capabilities may be present in one product but not others due to deployment schedules and host-specific capabilities.
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