How to Open json File in Excel?
By Rohan Vats
Updated on Sep 10, 2025 | 17 min read | 100.89K+ views
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By Rohan Vats
Updated on Sep 10, 2025 | 17 min read | 100.89K+ views
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Did You Know? Modern browsers (like Chrome and Firefox) automatically format and display .json files in a readable tree structure, making debugging much easier. This helps developers quickly inspect complex nested data without needing external tools or manually formatting the file. |
Today, information flows like never before, and at the heart of it all is JSON (JavaScript Object Notation),a superstar in data exchange. Whether it’s powering your favorite apps or helping systems talk to each other, JSON is everywhere!
But here’s the catch: while JSON is fantastic for machines, it’s not exactly the friendliest format for human eyes, especially when you want to dive deep into analysis. So, what if you’re handed a JSON file and need to turn that jumble of code into something understandable in Excel?
This guide is your step-by-step toolkit to open JSON file in Excel, transforming raw data into structured insights. It covers the entire process of making data visualization effortless. Let’s get started!
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When dealing with structured data, JSON files are widely used across web, software, and data-driven applications. However, opening and analyzing JSON in Excel requires more than just a double-click. Excel now offers built-in tools to transform complex JSON data into readable tables, making it easier to work with nested objects and arrays.
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A JSON File—lean, fast, and incredibly useful. JSON stands for JavaScript Object Notation, a lightweight format used to store and exchange data.
JSON represents data in key-value pairs, arrays, and nested structures, making it ideal for APIs and data sharing between applications. You might see JSON files in a variety of scenarios: web apps, mobile apps, or even when you're working with third-party APIs.
Also Read: Package JSON Scripts in Node.js: A Complete Guide
Let’s say you’ve got a big chunk of data coming from an API in JSON format, or your colleague just sent you a file full of important information, all in JSON.
Opening it directly in Excel allows you to organize, analyze, and visualize that JSON data, helping you see patterns, make calculations, or simply make sense of the data in a more familiar way. Excel turns that abstract data into something tangible and, most importantly, understandable.
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JSON (JavaScript Object Notation) is commonly used to store and exchange structured data. Excel now allows you to directly import JSON files and convert them into readable tables using Power Query.
Example JSON File:
[
{
"name": "Rohit Sharma",
"age": 32,
"email": "rohit.sharma@example.com"
},
{
"name": "Ananya Mehta",
"age": 28,
"email": "ananya.mehta@example.com"
}
]
Here are the steps to open JSON File in Excel:
Step 1: Open Microsoft Excel
Make sure you’re using Excel 2016 or later (including Microsoft 365) for built-in JSON support.
Step 2: Go to the "Data" Tab
Step 3: Select Your JSON File
Step 4: Use the Power Query Editor
Step 5: Load the Data into Excel
Final Output Table in Excel:
name |
age |
|
Rohit Sharma | 32 | rohit.sharma@example.com |
Ananya Mehta | 28 | ananya.mehta@example.com |
Pro Tip:
If your JSON file is deeply nested or contains arrays within objects, you may need to use multiple rounds of "Expand" in Power Query to flatten all levels of the data.
Also Read: How to Start Learning Python for Data Science in 2025
Now that you know how to open JSON File in Excel, let’s go over the common methods of opening a JSON file.
There are two popular ways to open JSON file in Excel, and both methods can help you manage the data quickly. Whether you prefer power query or manual conversion, the choice is yours!
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One of the easiest ways to import JSON files into Excel is by using Power Query, a powerful Excel feature designed to transform and manage data.
Step-by-Step Instructions:
1. Open Excel and go to the "Data" tab.
2. Under the Get Data option, select the JSON file from your system by clicking From File and then choosing From JSON.
3. Navigate to the location of your JSON file on your computer, select it, and hit Open.
4. Power Query will automatically process the JSON data and convert it into a readable table format. If your JSON contains nested objects, Power Query will make sense of the structure and format it accordingly.
5. Once your data looks good, click on Load to import the formatted table into Excel, where you can begin analyzing or working with it!
Key Benefits:
Also Read: 60 Advanced Excel Formulas to Boost Professional Efficiency
If you prefer a more manual approach or need more control over the data, you can convert the JSON file to a CSV format first and then import it into Excel.
Step-by-Step Instructions:
1. You can easily find online converters that allow you to upload your JSON file and convert it to CSV. Alternatively, if you’re comfortable with programming, you can write a quick Python script using libraries like JSON and Pandas to achieve the same result.
2. Once your file is converted to CSV, open Excel, navigate to the Data tab, and import the CSV just as you would with any other file.
3. CSV imports may need a little tweaking, so take a moment to adjust any columns, format dates, or clean up any data to suit your needs.
Advantages of Using CSV:
Also Read: Top 14 Free Online Excel Courses with certificate for 2025
Next, let’s look at how you can edit JSON data in Excel.
Once you open JSON File in Excel, you might need to clean or transform it. Excel offers a wide range of tools to help you manage your data.
Here’s how you can edit JSON File in Excel:
Once your JSON is imported, you can use Excel’s features like Find and Replace, Sorting, and Filtering to fine-tune the data. For example, if some fields are cluttered or misplaced, Excel makes it a breeze to tidy things up.
If you need to save your edited data back into JSON format, Excel doesn’t natively offer this option, but you can use Power Query or third-party tools like online JSON converters to convert the data back to JSON once you’ve finished your edits.
Also Read: Top 15 Ways to Improve Excel Skills [Actionable Tips]
Next, let’s look at some of the common issues you might face while opening or editing JSON files in Excel.
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Opening JSON file in Excel isn’t always perfect, a few challenges can pop up during the conversion process.
Here’s how to solve them.
Sometimes, JSON files contain deeply nested objects that can make visualization in Excel challenging.
Solution:
Use Power Query to flatten out the JSON data, converting complex structures into more manageable, flat tables.
JSON stores data in a variety of types (e.g., strings, numbers, arrays), which may not align perfectly with Excel formats.
Solution:
You can manually adjust column data types in Excel or use Excel’s data format tools to get everything in the correct format.
Working with JSON files doesn’t have to be complicated! Here are some super useful tools that can simplify things and make your work with JSON and Excel much easier:
Power Query is an excellent feature in Excel that allows users to directly import JSON files and convert them into a table format for easy analysis. It simplifies working with complex data structures without needing any external tools or coding.
Example:
For instance, if you receive a JSON file containing sales data from an API, Power Query can quickly convert it into a well-organized table for further processing and analysis.
These online converters allow you to transform JSON files into CSV format, which is widely compatible with Excel. This option is straightforward, requiring no additional software or technical expertise.
Example:
If you have a JSON file containing a product catalog that you want to work with in Excel, using a JSON to CSV converter will let you easily turn it into a readable spreadsheet format.
For those comfortable with programming, Python’s JSON and pandas libraries provide powerful capabilities to manipulate and convert JSON data. They are particularly useful when dealing with large or complex datasets that need customization before importing into Excel.
Example:
Suppose you need to clean and filter a large set of customer data in JSON format. Python can help preprocess the data, making it easier to work with in Excel by ensuring only relevant data is included.
Also Read: Top 50 Excel Interview Questions & Answers in 2025
Now that you have a good understanding of how to open JSON File in Excel, let’s look at how upGrad can help you in your journey.
Who knew that learning how to open a JSON file in Excel could be this simple?
With tools like Power Query and manual CSV conversion, converting JSON to Excel is easier than ever. Whether you're working with simple data or complex nested objects, Excel provides the flexibility and features needed to handle all kinds of JSON data effortlessly.
If you’re eager to become an Excel pro, why not take it a step further? upGrad’s exclusive course on Excel goes beyond the basics, equipping you with advanced data management techniques and practical skills that can boost your career opportunities in data analytics, finance, and beyond.
Here are some of the additional upGrad courses (including free ones) to support your Excel learning journey:
For personalized career guidance, contact upGrad’s counselors or visit a nearby upGrad career center. With expert support and an industry-focused curriculum, you'll be prepared to tackle data analysis challenges and advance your career.
References:
https://www.upgrad.com/blog/how-to-open-json-file/
JSON’s lightweight, human-readable text format and seamless compatibility with JavaScript make it faster and easier to parse compared to XML or CSV. Its ability to represent nested and hierarchical data structures with key-value pairs allows complex objects to be transmitted without losing relationships, which is vital for APIs and modern web apps.
Excel can open large JSON files using Power Query, but performance depends on the file’s nesting depth and size. Highly nested JSON may slow down Excel or cause crashes. For very large or complex JSON datasets, specialized tools like Python or database imports are recommended to handle parsing and transformation efficiently.
This error usually occurs due to malformed JSON, such as missing commas, unquoted keys, or improper nesting. Validate your JSON with online tools before importing. Also, ensure the file encoding is UTF-8, as Excel may fail to parse files with incompatible encodings.
Excel’s Power Query may import nested JSON objects as a single column of records or lists. To fix this, use the expand icon (🔽) in Power Query to flatten nested fields into separate columns, enabling you to work with each attribute individually.
Use Power Query’s refresh feature to re-import JSON data from a static file or URL on demand or schedule automatic refreshes with Excel Online or Power BI. For fully automated workflows, integrating Excel with Microsoft Power Automate or writing custom scripts is recommended.
Excel’s Power Query attempts to standardize columns by union of all keys, but if objects have highly inconsistent schemas, columns may appear sparse or incomplete. Preprocessing JSON with scripts to normalize or flatten data before importing improves table consistency.
Power Query may import all JSON values as text by default. After loading, explicitly convert columns to the correct data types (e.g., Date, Number, Boolean) in Power Query or Excel to prevent calculation errors and enable proper data analysis.
Yes, Excel’s Power Query can fetch JSON from APIs by selecting Get Data > From Web and providing the API endpoint URL. You may need to handle API authentication and pagination separately to import large or secured JSON responses successfully.
Excel does not natively support exporting to JSON. You can use Power Query to transform data or rely on external tools like Python scripts or online converters. Alternatively, Excel add-ins and VBA macros can be employed to automate JSON export.
Deeply nested JSON often results in complex lists or records inside columns, which Power Query cannot flatten automatically. Overcome this by performing multiple expand operations step-by-step or flattening the JSON with preprocessing scripts before import.
Always validate and sanitize JSON data before import to prevent malicious code or corrupt files. Use Excel’s Protected View, disable macros from untrusted sources, and ensure files come from secure locations. For sensitive data, consider using encrypted connections or data masking prior to import.
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Rohan Vats is a Senior Engineering Manager with over a decade of experience in building scalable frontend architectures and leading high-performing engineering teams. Holding a B.Tech in Computer Scie...
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