Free Practice WorkbookWorking with JSON data in Excel might seem daunting at first, but trust me, it’s easier than you think! JSON (JavaScript Object Notation) is widely used for data exchange, and converting it to Excel can help you analyze and manipulate the data more efficiently. In this guide, I’ll walk you through how to import JSON to Excel using Power Query.
Key Takeaways:
- Power Query in Excel makes it easy to import JSON data without coding.
- Converting JSON to Excel allows for better data analysis and visualization.
- Excel tables help in sorting, filtering, and using formulas efficiently.
- Power Query can refresh JSON data automatically, saving time.
- Large JSON files are processed efficiently without performance issues.
Table of Contents
Introduction to JSON and Excel Conversion
What is JSON?
JSON (JavaScript Object Notation) is a lightweight data-interchange format that is easy for machines to parse and generate. It is widely used in APIs, web applications, and data storage due to its simplicity and flexibility. However, JSON is not always easy to read for humans, which is why converting it into Excel can be beneficial.
Why Convert JSON to Excel?
Excel is one of the most powerful tools for data analysis and reporting. Converting JSON to Excel allows users to:
- Sort, filter, and visualize data efficiently
- Use Excel formulas and functions for deeper insights
- Share data in a more accessible format
- Perform quick calculations and generate reports
How to Convert JSON to Excel
Step-by-Step Guide
Power Query is a powerful feature in Excel that allows you to import, transform, and analyze data from various sources, including JSON files. Follow the steps below to import JSON to Excel:
STEP 1: Open Excel and Create a New Workbook
STEP 2: In the Ribbon menu, click on the Data tab.
STEP 3: In the Get & Transform Data section, click on Get Data.
STEP 4: Select From File > From JSON.
STEP 5: In the import window, locate and select your JSON file, then click Import.
STEP 6: Excel will open the Power Query Editor window displaying your JSON data. To convert the data into a table, click on the Into Table option.
STEP 7: Once the data appears as desired, click on Close & Load in the Home tab of the Power Query Editor.
The data will be loaded into a new worksheet in Excel as a table.
This method allows you to import JSON data into Excel without the need for additional coding.
Advantages of Power Query in JSON to Excel Conversion
1. No Coding Skills Required
Power Query provides a user-friendly interface that allows users to import and manipulate JSON data without writing any code. With a few clicks, users can transform complex JSON structures into Excel tables, making data analysis accessible to everyone. This is especially beneficial for non-technical users who need to work with JSON data regularly.
2. Easy to Refresh Data from the Source
Power Query maintains a connection to the original JSON file, allowing users to refresh data with a single click. This feature is particularly useful for dynamic datasets, such as those retrieved from APIs or frequently updated reports. By automating updates, Power Query eliminates the need for manual data imports, saving time and reducing errors.
3. Supports Large JSON Files
Unlike manual conversion methods, Power Query efficiently handles large JSON files without performance issues. It processes data in chunks, ensuring that even extensive datasets can be imported and transformed smoothly. This makes it an ideal solution for working with big data in Excel without risking crashes or slow performance.
Best Practices for Handling JSON in Excel
- Validate Your JSON Data – Before importing, check if your JSON file is correctly formatted using a validator like JSONLint.
- Keep Data Structured – Ensure JSON keys are properly named and organized to avoid issues during conversion.
- Use Excel Tables for Better Analysis – Once imported, convert the data into an Excel table to apply filters, pivot tables, and charts easily.
- Automate Updates – If your JSON data source updates frequently, consider using Power Query’s Refresh option or VBA automation.
FAQs on JSON to Excel Conversion
1. Can I convert JSON to Excel without Power Query?
Yes, you can manually copy and paste JSON data into Excel and use formulas or VBA to structure it. Another option is to use online converters to transform JSON into a CSV file, which can then be imported into Excel. However, Power Query remains the most efficient and flexible method for handling JSON data.
2. Does Power Query work with all JSON structures?
Power Query supports most JSON structures, but deeply nested JSON files may require manual transformations. You might need to use functions like Expand Record or Expand List in the Power Query Editor to restructure the data properly. If the JSON is highly complex, additional steps such as custom columns or merging tables may be necessary.
3. Can I automate JSON imports in Excel?
Yes, Power Query enables automatic data refreshes, allowing you to import the latest JSON data without manual updates. You can set up scheduled refreshes or use VBA to trigger updates at specific intervals. This is especially useful when working with real-time or frequently changing datasets
4. What if my JSON file is too large for Excel?
If the JSON file exceeds Excel’s limits, consider breaking it into smaller chunks or using a database like SQL Server or Power BI for processing. Power Query can handle relatively large datasets, but Excel has row and memory constraints. Alternatively, cloud-based solutions such as Microsoft Power Automate or Azure Data Factory can help manage large JSON files efficiently.
5. How do I troubleshoot errors when importing JSON?
First, check if the JSON file is properly formatted using a validator like JSONLint to identify syntax errors. Ensure the file path is correct, and verify that Power Query settings, such as column transformations, are correctly applied. If the import still fails, try loading the JSON into an online viewer to inspect its structure and adjust your queries accordingly.
John Michaloudis is a former accountant and finance analyst at General Electric, a Microsoft MVP since 2020, an Amazon #1 bestselling author of 4 Microsoft Excel books and teacher of Microsoft Excel & Office over at his flagship MyExcelOnline Academy Online Course.
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