#PowerPlatformTip 37 – ‘Table to JSON’

💡 Challenge

Working with two-column tables, specifically ‘Name’ and ‘Value’ pairs, in Power Automate can be tedious when trying to access individual entries efficiently.

✅ Solution

A simple method to streamline the selection of individual entries within such tables by converting the data into a JSON record and utilizing the “Parse JSON” action.

🔧 How It’s Done

Here’s how to do it:

1. Convert your ‘Name’ and ‘Value’ table into a JSON record.
   🔸 This transformation allows for more flexible data manipulation.
   🔸 Prepares data for the Parse JSON action.
2. Use the “Parse JSON” action in Power Automate.
   🔸 You define a JSON schema to enforce structure.
   🔸 Enables straightforward access to any entry within your flow.

🎉 Result

An enhanced Power Automate experience where accessing and selecting data from two-column tables becomes seamless, saving time and reducing complexity.

🌟 Key Advantages

🔸 Efficiency: Quickly convert tabular data into a manipulable format.
🔸 Simplicity: Access individual data points easily without complex expressions.
🔸 Flexibility: Adapt and extend this method for various data structures beyond simple name-value pairs.

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🛠️ FAQ

1. Can this method handle tables with multiple columns beyond name-value pairs?
Yes, but you’ll need to modify the JSON structure to accommodate additional columns, creating more complex object structures.

2. What happens if my table contains special characters or spaces in the names?
Special characters may need escaping in JSON. Consider using the replace() function to sanitize field names before conversion.

3. Is there a size limit for tables when converting to JSON?
While there’s no strict limit, very large tables may impact flow performance. Consider batch processing for tables with thousands of rows.

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