Daily-Market-Price-API

Kerala Vegetable Market Price API

This repository provides live and historical vegetable market prices for various markets across Kerala, India. The data is scraped from the VFPCK (Vegetable and Fruit Promotion Council Keralam) website and stored in structured JSON files.

• 🔗 Live Data File: data/live.json
• 🔗 Markets & Items: data/markets.json, data/items.json
• 🔗 Historic Data: data/historic_data/<item_name>.json

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Overview

• Provides wholesale (wp) and retail (rp) prices for vegetables across Kerala markets.
• Data stored in JSON format (live.json, items.json, markets.json).
• Includes an Express.js API server to serve prices by item and market.
• Designed to be extendable for dashboards, apps, and research.
• Maintains historic price data for each item in data/historic_data/.

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Features

• Automatic daily scraping from VFPCK.
• JSON structured data for easy consumption.
• API endpoints for markets, items, and specific product prices.
• Includes last updated date for each product.
• Maintains historical price records for analytics and tracking trends.

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Data Structure

Live Data (live.json)

The live.json now stores each item under a normalized key (lowercase with underscores), along with its original name, market-wise prices, and last updated date.

{
  "data": {
    "amaranthus_green": {
      "name": "Amaranthus Green",
      "data": {
        "ALUVA": {
          "KERALA": { "wp": "30", "rp": "40" },
          "OUT_OF_STATE": { "wp": "0", "rp": "0" }
        },
        "CHALAI": {
          "KERALA": { "wp": "40", "rp": "45" },
          "OUT_OF_STATE": { "wp": "0", "rp": "0" }
        }
      },
      "lastUpdated": "September 29, 2025"
    }
  },
  "date": "September 29, 2025"
}

Explanation of Terms

• data → Root container of all vegetables/fruits.
• Key → Normalized item name (lowercase, underscores).
• name → Original product name.
• Market Name → Example: "ALUVA", "CHALAI".

• KERALA / OUT_OF_STATE → Source of produce.

  • wp → Wholesale Price (₹ per kg).
  • rp → Retail Price (₹ per kg).
• lastUpdated → Last updated date from VFPCK.
• Historic Data → Stored per item in data/historic_data/<item_name>.json.

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⚙️ API

Base Path: /api

1. List Markets

GET /veg/markets

Response:

{
  "data": [
    { "title": "Aluva", "id": "123" },
    { "title": "Chalai", "id": "456" }
  ],
  "date": "September 29, 2025",
  "message": "Markets listed successfully"
}

---

2. List Items (Vegetables & Fruits)

GET /veg/items

Response:

{
  "data": [
    { "title": "Amaranthus Green", "id": "101" },
    { "title": "Ash Gourd", "id": "102" }
  ],
  "date": "September 29, 2025",
  "message": "Vegetables and Fruits listed successfully"
}

---

3. Get Prices of a Specific Item

GET /items/:name?place=<marketName>

Example:

GET /items/Amaranthus Green?place=ALUVA

Response:

{
  "data": {
    "ALUVA": {
      "KERALA": { "wp": "30", "rp": "40" },
      "OUT_OF_STATE": { "wp": "0", "rp": "0" }
    }
  },
  "date": "September 29, 2025",
  "name": "Amaranthus Green",
  "message": "Item details fetched successfully"
}

Notes:

• place is optional; if omitted, prices for all markets are returned.
• name field in the response always returns the original product name.

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Workflow

1. Scraper fetches market and item lists from VFPCK website.

2. Data is saved into:

   • items.json → List of vegetables & fruits.
   • markets.json → List of Kerala markets.
   • live.json → Daily updated prices.
   • historic_data/<item>.json → Daily historical prices for each item.

3. API serves the data via Express.js routes.

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Project Structure

data/
 ├── items.json             # List of all items
 ├── markets.json           # List of Kerala markets
 ├── live.json              # Latest prices
 └── historic_data/         # Historical price data for each item
src/
 ├── routes/                # Express API routes
 ├── utils/scraper.js       # Scraper logic
 ├── utils/data-fetcher.js  # Local JSON data fetcher
 ├── index.ts               # Server entrypoint
scripts/
 └── live.ts                # Daily price update and historic generation

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Contributing

• Fork the repo & create feature branches.
• Improve scrapers, add new data sources, or optimize API responses.
• Open PRs with detailed descriptions.

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License

MIT License

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Disclaimer

This project scrapes data from VFPCK. The data is provided as-is and may contain parsing errors. For official and verified information, refer to the original source.

• The data provided may not be accurate

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