Thai School Data Scraper & API

This project provides a tool to scrape Thai school information from Wikipedia and serve it via an API. It is built with Bun, ElysiaJS, and Cheerio.

Features

• Live Scraping: Fetches up-to-date school data directly from Wikipedia.
• REST API: Serves school data via high-performance ElysiaJS endpoints.
• Data Export: Script to scrape and save all school data to JSON files.

Prerequisites

• Bun runtime installed.

Installation

bun install

Usage

Data Preparation

Before running the API, you must scrape the data from Wikipedia. This will generate the necessary JSON files in the dist/ directory.

bun run scrape

Output:

• dist/schools.json: Combined list of all schools (pretty).
• dist/schools.min.json: Combined list of all schools (minified).
• dist/provinces/[province].json: Individual JSON files for each province (pretty).
• dist/provinces/[province].min.json: Individual JSON files for each province (minified).

Run API Server

Start the development server:

bun dev

The server will be running at http://localhost:3000.

API Endpoints

• GET /schools: Retrieve a list of schools.
  • Query Parameters:
    • q: Search by school name (optional).
    • province: Filter by province (optional).
  • Example: GET /schools?province=ภูเก็ต
• GET /: API Information.
• GET /openapi: OpenAPI documentation.

Project Structure

• src/index.ts: API server entry point.
• src/scripts/scrape.ts: CLI script for scraping and saving data.
• src/services/scraper.ts: Scraper logic using Cheerio.
• src/constants/provinces.ts: List of Thai provinces.

Automation

This project uses GitHub Actions to automatically update the school data.

• The workflow runs on the 1st of every 3rd month at midnight UTC.
• It executes the scraper and commits any changes to the dist/ directory back to the repository.
• You can also manually trigger the "Update School Data" workflow from the Actions tab.