Scraper and FlaskAPI Product Data Service

Overview

This project consists of three main components:

1. ScraperProductDataExtractor: A class responsible for scraping product data from McDonald's website.
2. JSONDataSaver: A class for saving the scraped product data into a JSON file.
3. FlaskAPI: A RESTful API that provides endpoints for accessing the product data stored in the JSON file.

Installation

Step 1: Install Dependencies

Ensure you have all the necessary libraries installed. You can install them using the following command:

pip install -r requirements.txt

Running the Project

Step 1: Run the Scraper

To start, run the scraping process which will extract product data from McDonald's website and save it into a JSON file.

Step 2: Launch the Flask API

Once the data has been successfully scraped and saved, you can start the Flask application by running the following command:

flask --app views run

Step 3: Access the API

The Flask API will be available locally on http://127.0.0.1:5000. You can now interact with the available endpoints through your browser or API client. API Endpoints

Get All Products: Endpoint: /all_products/ Description: Returns a list of all products. Example: http://127.0.0.1:5000/all_products/

Get Product by Name: Endpoint: /products/{product_name} Description: Returns data for a specific product by its name. Example: http://127.0.0.1:5000/products/BigMac

Get Specific Field of a Product: Endpoint: /products/{product_name}/{field} Description: Returns a specific field of a product. Example: http://127.0.0.1:5000/products/BigMac/price