JSON and CSV Formats: Which One to Choose for Your Reviews?
Comparison of JSON and CSV formats for exporting your TrustPilot reviews and choosing the right one.
JSON vs CSV: Understanding the Differences
The choice between JSON and CSV for your TrustPilot reviews exports depends on your analysis needs and tools. Each format has specific advantages depending on your use case.
Tip: JSON for technical analysis, CSV for business analysis.
JSON Format: For Developers and Advanced Analysis
Hierarchical Structure
Data organized in objects and arrays for easy manipulation.
Complete Metadata
Access to all detailed information for each review.
Easy to Parse
Simple integration with Python, JavaScript, PHP, etc.
Complex Analysis
Ideal for sentiment analysis and machine learning.
Example JSON Structure:
{
"businessUnit": "my-business",
"totalReviews": 150,
"reviews": [
{
"id": "12345",
"rating": 5,
"title": "Excellent service",
"content": "Very satisfied...",
"date": "2025-01-15",
"author": "John D.",
"verified": true
}
]
}CSV Format: For Business Analysis and Excel
Excel Compatible
Direct opening in Excel, Google Sheets, and other spreadsheets.
Quick Analysis
Easy creation of charts and dashboards.
Universal Format
Compatible with all data analysis tools.
Easy to Share
Simple sharing with your team and collaborators.
Example CSV Structure:
id,rating,title,content,date,author,verified 12345,5,"Excellent service","Very satisfied...",2025-01-15,"John D.",true 12346,4,"Good product","Overall happy...",2025-01-14,"Mary L.",true
Selection Guide Based on Your Needs
Choose JSON if:
- • You are a developer or data analyst
- • You want to do sentiment analysis
- • You integrate data into an application
- • You need detailed metadata
- • You use Python, R, or JavaScript
Choose CSV if:
- • You want to analyze in Excel or Google Sheets
- • You create reports for your team
- • You prefer a simple and readable format
- • You share data with non-technical people
- • You do basic analysis (averages, charts)
Practical Use Cases
With JSON:
- • Sentiment analysis with Python libraries
- • Integration into a custom dashboard
- • Machine learning to predict satisfaction
- • API to expose data to other systems
- • Analysis of patterns in comments
With CSV:
- • Excel dashboards for management
- • Monthly reports for teams
- • Trend analysis with charts
- • Sharing with external consultants
- • Basic analysis (averages, distributions)
Optimization Tips
To maximize efficiency:
- • Test both formats to see which suits you best
- • Use filters to reduce export size
- • Save your exports for historical tracking
- • Automate your exports with scripts if possible
- • Document your analysis for your team
Conclusion
The choice between JSON and CSV depends on your profile and objectives. JSON offers more flexibility for technical analysis, while CSV is more accessible for business analysis. In any case, the important thing is to start analyzing your reviews regularly to improve your customer service.
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