Parse text as JSON or XML (Power Query) (2024)

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You can parse (or deconstruct) the contents of a column with text strings that contain JSON or XML. To help illustrate how to use the Parse command, the following sample data starts with JSON and XML data entered as text fields.

Parse text as JSON or XML (Power Query) (2)

For more information on importingJSON and XML, see Import data from external data sources.

JavaScript Object Notation (JSON) is a common data format, and you can import it into Excel.

To transform the SalesPerson column from text strings to a structuredRecord column:

  1. Select the SalesPerson column.

  2. Select Transform > Parse > JSON.

  3. Select Record to see the values.

    Parse text as JSON or XML (Power Query) (3)
  4. Select the Expand

    Parse text as JSON or XML (Power Query) (4)

    icon next to the SalesPerson column header. From the Expand columns dialog box, select only the FirstName and LastName fields.

    Parse text as JSON or XML (Power Query) (5)

Result

Parse text as JSON or XML (Power Query) (6)

Extensible Markup Language (XML) is a common markup and data format, and you can import it into Excel.

To transform the Country column from text strings to Table values.

  1. Select the Country column.

  2. Select Transform >Parse > XML.

  3. Select Tableto see the values.

    Parse text as JSON or XML (Power Query) (7)
  4. Select the Expand

    Parse text as JSON or XML (Power Query) (8)

    icon next to the Country column header. From the Expand columns dialog box, select only the Country and Division fields.

    Parse text as JSON or XML (Power Query) (9)

Result

Parse text as JSON or XML (Power Query) (10)

TipWith a Table, you can also select Aggregate to aggregate data in different ways, such as Sum or Count. For more information, see Aggregate data from a column.

See Also

Power Query for Excel Help

Work with a List, Record, or Table structured column

Parse text as JSON or XML (docs.com)

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Parse text as JSON or XML (Power Query) (2024)

FAQs

Parse text as JSON or XML (Power Query)? ›

XML is complex and less flexible. JSON supports numbers, objects, strings, and Boolean arrays. XML supports all JSON data types and additional types like Boolean, dates, images, and namespaces. JSON has smaller file sizes and faster data transmission.

How to parse text in Power Query? ›

You can perform this parse operation by selecting the Parse option found inside the following places in the Power Query editor:
  1. Transform tab—This option transforms the existing column by parsing its contents.
  2. Add column tab—This option adds a new column to the table parsing the contents of the selected column.
Jul 29, 2024

What is the difference between XML and JSON parsing? ›

XML is complex and less flexible. JSON supports numbers, objects, strings, and Boolean arrays. XML supports all JSON data types and additional types like Boolean, dates, images, and namespaces. JSON has smaller file sizes and faster data transmission.

How to parse XML data or an XML document? ›

You perform explicit XML parsing when you invoke the XMLPARSE function on the input XML data. You can use the result of XMLPARSE in any context that accepts an XML data type. For example, you can use assign the result to an XML column or use it as a stored procedure parameter of type XML.

How to parse text in JSON? ›

Example - Parsing JSON

Use the JavaScript function JSON.parse() to convert text into a JavaScript object: const obj = JSON.parse('{"name":"John", "age":30, "city":"New York"}'); Make sure the text is in JSON format, or else you will get a syntax error.

How to parse JSON in Power Query? ›

Parse JSON text

Select Transform > Parse > JSON. Select Record to see the values.

How do I know if a string is XML or JSON? ›

Very simple:
  1. Valid JSON starts always with '{' or '['
  2. Valid XML starts always with '<'
Aug 31, 2011

Why did JSON replace XML? ›

It did not require the rather inconvenient “data binding” and “data serialization” steps that were notoriously difficult when using XML-based APIs. Instead, JSON allowed APIs to represent structured data in a way that simply was a better fit for the conceptual universe that most developers live in.

Is XML obsolete? ›

Q: Is XML still being used? A: XML is still used in many circ*mstances where its advantages come to the forefront. This is particularly true in applications or environments where document markup and metadata are important or where you need to work with XHTML or SVG.

How to parse string to XML? ›

DOMParser Method

The DOMParser object has a method called parseFromString that parses a string that contains either HTML or XML and produces a document object (HTMLDocument or XMLDocument). This allows you to directly load and manipulate XML data within your JavaScript code.

How to parse JSON to XML? ›

To convert a JSON document to XML, follow these steps:
  1. Select the JSON to XML action from the Tools > JSON Tools menu. ...
  2. Choose or enter the Input URL of the JSON document.
  3. Choose the path of the Output file that will contain the resulting XML document.

How to best parse XML? ›

To parse XML in Python, we can use different packages. However, the most popular one is ElementTree. ElementTree allows for searching through XML files using their elements. It also supports most of the XPath syntax, such as matching by positions, attributes and text.

How do I convert text to JSON? ›

You can convert TXT to JSON with MConverter in three easy steps:
  1. Choose TXT files from your device. At the top of this page, drag and drop your TXTs. ...
  2. Click or tap on JSON from the list of target formats. ...
  3. Download your JSON files, after MConverter has finished processing them.

Why is JSON better than XML? ›

JSON uses a map data structure, with key-value pairs, making it simpler and more intuitive. XML, on the other hand, uses a tree structure, which can be more complex but also more flexible. JSON is generally faster and easier to use, making it the preferred choice for web APIs and mobile applications.

How to parse string into JSON? ›

String data can be easily converted to JSON using the stringify() function, and also it can be done using eval(), which accepts the JavaScript expression that you will learn about in this guide.

How do you separate text in Power Query? ›

Select Home > Split Column > By Delimiter. The Split a column by delimiter dialog box appears. In the Select or enter a delimiter drop-down, select Colon, Comma, Equals Sign, Semicolon, Space, Tab, or Custom. You can also select Custom to specify any character delimiter.

How do I parse specific text in Excel? ›

How to parse data in Excel
  1. Insert your data into an Excel spreadsheet. ...
  2. Select the column that contains the data you want to parse. ...
  3. Choose the "Data" tab in the ribbon. ...
  4. Click the "Text to Columns" option. ...
  5. Select "Delimited" in the dialog box. ...
  6. Choose a delimiter that exists within your data.
Jun 28, 2024

How do you use text in Power Query? ›

  1. Syntax. Text.At(text as nullable text, index as number) as nullable text.
  2. About. Returns the character in the text value, text at position index . The first character in the text is at position 0.
  3. Example 1. Find the character at position 4 in string "Hello, World". Usage. Power Query M Copy. Text.At("Hello, World", 4)
Jul 15, 2024

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