How to Build a Web-Based Online Casino Slot Game Analyzer for Market Research

A web application that collects and analyzes slot game data from multiple online casino homepages, providing insights for market research purposes. The app features on-demand data collection and a user interface to view top games across different casinos.

Simple Summary

This plan outlines the development of a web-based application for market research that scrapes online casino homepages, collecting data on slot games' positions, names, and images, with an on-demand updating feature.

Product Requirements Document (PRD)

Goals:

Develop a web-based application for market research in the online casino industry
Create a system to scrape and analyze slot game data from multiple online casino homepages
Provide an interface to view and compare slot game positioning across different casinos

Target Audience:

Market researchers in the online casino industry

Key Features:

On-demand data collection from online casino homepages
Extraction of slot game position, name, and image data
Interface to display all scraped online casino sites
Interface to show all collected slot games
Ability to view top 20 games for each casino by clicking on the casino name

User Requirements:

Ability to initiate data collection on demand
View a list of all scraped online casino sites
View a list of all collected slot games
Access detailed information about top 20 games for each casino

User Flows

Data Collection:
- User accesses the web application
- User initiates on-demand data collection
- System scrapes specified online casino homepages
- System extracts and stores slot game data
Viewing Casino Data:
- User accesses the main interface
- User views list of all scraped online casino sites
- User clicks on a specific casino
- System displays top 20 games for the selected casino
Analyzing Slot Games:
- User accesses the slot game list
- User views all collected slot games
- User can sort or filter games based on position or casino

Technical Specifications

Frontend:

Web-based application (specific framework not specified in conversation)
JavaScript for interactive features

Backend:

Server-side scripting language capable of web scraping (e.g., Python with BeautifulSoup or Scrapy)
Database for storing scraped data (e.g., PostgreSQL or MongoDB)

API:

RESTful API to handle communication between frontend and backend

Scraping:

Custom web scraping scripts to extract data from online casino homepages

API Endpoints

N/A

Database Schema

N/A

File Structure

/online-casino-slot-analyzer
  /frontend
    /public
    /src
      /components
      /pages
      /services
      App.js
      index.js
  /backend
    /scraper
    /api
    /models
    server.js
  /database
  README.md
  package.json

Implementation Plan

Set up project structure and version control
Develop backend scraping functionality
- Create scripts to scrape online casino homepages
- Implement data extraction for slot game position, name, and image
Set up database to store scraped data
Develop API endpoints for data retrieval
Create frontend user interface
- Implement main page with list of casinos and slot games
- Develop casino detail view showing top 20 games
Integrate frontend with backend API
Implement on-demand data collection feature
Conduct testing and bug fixes
Optimize performance and user experience
Deploy the application

Deployment Strategy

Information not available in conversation.

Design Rationale

The web-based approach was chosen for accessibility and ease of use, as specified by the user. The on-demand data collection feature was implemented to provide flexibility for market researchers to update data as needed. The interface design, showing all casinos and allowing users to click for detailed game information, was directly based on the user's requirements for easy navigation and analysis of the collected data.