Sample Products JSON

Preview

[
  {
    "id": 1,
    "name": "Ultra-Light Mouse",
    "sku": "SKU-1001",
    "category": "electronics",
    "price": 240.67,
    "currency": "USD",
    "stock": 23,
    "rating": 3.2,
    "tags": [
      "budget",
      "sale"
    ],
    "inStock": true
  },
  {
    "id": 2,
    "name": "Solar Water Bottle",
    "sku": "SKU-1002",
    "category": "furniture",
    "price": 156.57,
    "currency": "USD",
    "stock": 141,
    "rating": 3.8,
    "tags": [
      "budget",
      "premium"
    ],
    "inStock": true
  },
  {
    "id": 3,
    "name": "Ultra-Light Backpack",
    "sku": "SKU-1003",
    "category": "accessories",
    "price": 168.74,
    "currency": "USD",
    "stock": 64,
    "rating": 3.1,
    "tags": [
      "sale",
      "popular",
      "new"
    ],
    "inStock": true
  }
]

First 3 records shown - the full file has 60 records.

Fields

Fetch it in code

const res = await fetch(
  "https://jsonconsole.com/api/products.json"
);
const data = await res.json();

import requests

data = requests.get(
    "https://jsonconsole.com/api/products.json"
).json()

What this dataset is good for

• E-commerce UI prototypes: product grids, carts, filters by category/price
• Testing sorting and aggregation logic with mixed numeric fields
• Demonstrating JSON-to-CSV or JSON-to-SQL conversions with realistic shapes