![]() ![]() Just start Power Automate (without the Parsing step) and click on the action that creates the parsed step. Actually, you don't need to write the schema really, just let it create automatically from an example. Use single file or archive (zip, rar, 7z, xz) for batch conversion. ![]() Drag and Drop the file on 'Browse' button or click 'Browse' to select the file. Set options and click Run Conversion button. ![]() You will see your computer’s standard Import window. On the Data tab, from the Get & Transform Data section, select Get Data > From File > From JSON. On the spreadsheet window, in Excel’s ribbon at the top, click the Data tab. It is easy to insert this step, but you need to write a JSON scheme in it. Online Converter: Convert JSON file into Excel format. To start parsing a JSON file, open Microsoft Excel on your computer and start a new spreadsheet. We can use values from all the columns that the JSON contains (and since multiple rows are calculated, usually these steps are wrapped in an "Apply to each" loop). This is usually not enough for us - because we need to reference specific values from columns.īut if we insert the "Parse JSON" action: They can be written directly, come from an API, or appear in any previous step.īut if they are like this, the next steps can only access the entire object. You need this in almost every workflow - because the structure written in JSON is used very often, even if it is not visible at first glance. It can "split" an object, which in Power Automate is often defined by JSON, into specific parts (columns), that can be referenced by subsequent actions in flow. The “Parse JSON” action in Power Automate and why is it so important What is Parse JSON for? ![]()
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