Real-World JSON Project Examples – Advanced Use Cases You Should Know
JSON is not just for storing simple user data or blog posts. In real-world applications, JSON powers large-scale systems, secure data exchange, API integrations, and real-time dashboards. In this article, let’s explore next-level use cases of JSON across fintech, healthcare, e-commerce, and AI — with practical examples.
1. Account Aggregator (AA) System in India – JSON-based Financial Data Sharing
Use Case: Under India’s Account Aggregator framework (part of IndiaStack), users can share their bank statements and financial data securely in JSON format across institutions like banks, NBFCs, and insurance companies.
Example JSON Structure:
{
"fiData": [
{
"accountNumber": "XXXXXXX9845",
"type": "savings",
"transactions": [
{
"date": "2025-05-31",
"amount": -750,
"description": "Grocery Store"
},
{
"date": "2025-05-30",
"amount": 50000,
"description": "Salary Credit"
}
]
}
]
}
This kind of JSON is consumed by lending apps to assess loan eligibility instantly.
Ideal for: Fintech developers, lending platforms, digital banking.
2. E-commerce Product Feed – Google Shopping JSON
Use Case: Online stores integrate with platforms like Google Shopping or Facebook Shops using JSON product feeds.
Example JSON Format:
{
"id": "SKU1234",
"title": "Wireless Earbuds with Noise Cancellation",
"description": "Latest Bluetooth 5.3 Earbuds with 40h playback",
"price": "2499 INR",
"availability": "in stock",
"brand": "SoundX",
"image_link": "https://example.com/images/sku1234.jpg"
}
These feeds are auto-synced using APIs to show your product in search results or ads.
Ideal for: Shopify devs, WooCommerce plugins, marketing teams.
3. AI Tool Integration – JSON for Function Calling
Use Case: AI models like OpenAI or Google Gemini allow developers to define custom functions in JSON, which the AI can “call” based on user intent.
Example:
Function definition:
{
"name": "calculateEMI",
"description": "Calculates EMI for a loan",
"parameters": {
"type": "object",
"properties": {
"principal": { "type": "number" },
"rate": { "type": "number" },
"months": { "type": "integer" }
},
"required": ["principal", "rate", "months"]
}
}
The AI responds with a JSON call:
{
"function": "calculateEMI",
"arguments": {
"principal": 500000,
"rate": 9.5,
"months": 60
}
}
This makes JSON the new interface layer between AI and apps.
Ideal for: AI developers, automation platforms, virtual assistants.
4. Real-Time Monitoring Dashboard – NDJSON with WebSocket
Use Case: You’re building a real-time dashboard (e.g., network status, delivery tracking, or IoT sensor data) using streaming JSON over WebSocket or Server-Sent Events.
Data stream example (NDJSON format):
{"device_id":"temp_01","temperature":31.5,"timestamp":"2025-06-04T13:12:00Z"}
{"device_id":"temp_02","temperature":30.9,"timestamp":"2025-06-04T13:12:01Z"}
Each line is a valid JSON object, which can be parsed as it arrives — perfect for live charts or logs.
Ideal for: DevOps, IoT systems, analytics dashboards.
5. JSON-based Configuration for Infrastructure as Code (IaC)
Use Case: Tools like Terraform, AWS CloudFormation, and Azure Resource Manager allow infrastructure definitions in JSON.
Example – AWS CloudFormation JSON Template:
{
"Resources": {
"S3Bucket": {
"Type": "AWS::S3::Bucket",
"Properties": {
"BucketName": "primarycalc-backups"
}
}
}
}
This JSON defines cloud resources, and can be version-controlled, auto-deployed, and updated via CI/CD pipelines.
Ideal for: Cloud engineers, DevOps teams, system architects.
6. API Gateway Policies using JSON
Use Case: AWS API Gateway, Azure API Management, and other platforms define throttling, caching, security, and routing policies using JSON.
Example:
{
"throttle": {
"rateLimit": 1000,
"burstLimit": 2000
},
"cache": {
"enabled": true,
"ttl": 3600
}
}
This helps in regulating API traffic and improving performance dynamically.
Ideal for: API product managers, backend engineers, performance tuning experts.
7. Custom UI Builders using JSON Layouts
Use Case: Drag-and-drop UI builders like Retool or Appsmith let you create app UIs using JSON layouts.
Example layout config:
{
"type": "form",
"fields": [
{
"type": "text",
"label": "Your Name",
"name": "username"
},
{
"type": "dropdown",
"label": "Loan Type",
"options": ["Personal", "Home", "Auto"]
}
]
}
These JSON-based layouts are interpreted at runtime — giving full control over UI behaviour without hardcoding in HTML/CSS.
Ideal for: No-code/low-code platforms, enterprise internal tools.
Final Thoughts
JSON is more than just a format — it’s now a universal language for defining data, APIs, UI, AI actions, and cloud infrastructure. These advanced use cases show that even complex systems rely on JSON behind the scenes.
Whether you’re building for finance, AI, devops, or e-commerce, mastering JSON will unlock huge potential in your projects.
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