If you ask, “Is it possible to convert JSON to CSV?”, the answer is yes. There are multiple ways to achieve this goal. We are sharing the top solutions to consider.
Reasons for Moving JSON Data to CSV
- CSV files are comparatively simpler and easier to access than JSON. After conversion, you can open JSON data in Excel and Google Sheets.
- For data analysis purposes, it is better to export JSON to Comma-Separated Values because the file format is compatible with Pandas, Power BI, and Excel.
- The conversion is practical when you want to keep details of JSON in your system and want easy access.
Also Read: Export JSON to HTML
Methods to Convert JSON Files to CSV
You may be pleased to know that you have more than two options for converting JSON to CSV. However, the tricky question is which method is most suitable for you. The answer completely depends on your needs, risk-taking ability, and various other factors. Let’s explore 4 popular methods to export JSON to CSV.
Solution 1: Convert JSON to CSV Online
When you search online for JSON to CSV conversion, you may come across websites that offer free or paid online converters. This means that you can complete the conversion without downloading any software. This is a popular method because the process is simple and convenient. You generally need just 3–4 steps for the conversion. Here are the common steps you can follow for online conversion.
- Visit an online conversion program.
- Click on “Upload” to upload the target JSON file.
- Press “Browse” to save the converted file in CSV format.
Drawbacks of Online Conversion
- Free online platforms can lead to data loss.
- There are chances of losing quality.
- Data can be hacked. Hence, it is not advisable for sensitive information.
- The process could be time-consuming.
Solution 2: Using Pandas Python Script
This is a code-based method. It is popular among developers and technicians who have profound coding skills. This method requires you to use coding libraries like Pandas to make the conversion process smoother and error-free. According to experts, if you have small-sized JSON files and in limited, the method goes well. The read_json () formula is the most common. It converts a JSON file into a DataFrame and a DataFrame into CSV.
Basically, you have three options under the Pandas Python Script.
Method 1: read_json () + to_csv ()
It is for flat structured JSON files.
Method 2: json_normalize () for Nested JSON
It is for dictionaries or inner lists.
Method 3: JSON String + read_json
It applies when JSON data is in string format.
Drawbacks of Using Pandas Script
- As we have already discussed, the method requires coding skills. Therefore, it is not recommended for non-technical users.
- You have options to choose the best conversion method, which can confuse you and lead to data loss.
- If the coding goes wrong, the entire data will be at risk.
- The process can consume time because it involves various steps.
Solution 3: Using Google Sheets to Export JSON File to CSV
If the second method doesn’t seem attractive to you because it involves various steps and is quite technical, you have a third option also available. It is used to transfer JSON to CSV using Google Sheets. It is the no-code method. This solution is popular among non-technical users and those who want a safe yet free method to export JSON to CSV. Google Sheets supports CSV. During conversion, the data from JSON is restructured into a tabular format and saved in CSV.
It is a beginner-friendly approach. Here are the steps to follow carefully.
- Locate and upload the target JSON file to a Google Sheets.
- Data will be transformed into a row and column structure.
- Now, clean and filter the data to make it readable.
- Now, click on “Save” to save data in CSV format in Google Sheets.
Drawbacks of the Method
• The solution does not help export complex or nested JSON files.
• It is not recommended if you are concerned about quality because the solution is incomplete or unsorted data.
• There may be formatting issues.
• It is for lightweight JSON files. If the file size is large, look for other alternatives like an automated converter.
Solution 4: Automated JSON to CSV Conversion Solution
This is a highly recommended solution when the other three methods fail to deliver results. It is a lightweight, standalone program that can export large, small, nested, or complex JSON files to CSV in just a few clicks. The Softaken JSON to CSV Converter tool allows you to convert not just one, but multiple JSON files to CSV at a time. The conversion process can be handled easily, even if you are a beginner, because of its interactive interface. If you like this tool over the other three suggested methods, you can download the free trial to test its performance. One of the most striking features of this tool is its lifetime license validity. It means you can export unlimited JSON files to CSV without time limits. Follow these steps to export JSON to CSV.
• After installation, launch the application on your Windows system.
• Now, click “File” or “Folder” then “Browse” to upload the target JSON files.
• Next, select “CSV” as a file format and press “Browse” to save the new CSV file.
• In the end, press the “Convert” button to end the conversion process.
Drawbacks
The application has fewer drawbacks than advantages. The primary drawback is that it is a paid tool. You need to invest once.
Conclusion
You have four wide options to choose from for the conversion of JSON files to CSV. Among all of them, the automated option fits best if you have sensitive data or multiple JSON files to export.
FAQs
Ques: Is there any direct solution to export JSON to CSV?
Ans: The suggested automated tool is a direct solution to export JSON to CSV. This application can export data in batches.
Ques: Which is the best solution to migrate JSON databases to CSV if the file is complex?
Ans: The best solution is an automated, reliable program that offers swift, fast, and accurate conversion.