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How to Build a Casino Data Management and Scraping Prototype with Bolt.new

A prototype web application for uploading, managing, and analyzing online casino data. Features include CSV uploads, scheduled web scraping, data visualization, and a comprehensive debug interface.

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Simple Summary

This coding plan outlines the development of a prototype web application for managing and analyzing online casino data, featuring CSV uploads, scheduled scraping, and a debug interface.

Product Requirements Document (PRD)

Goals:

  • Create a prototype for managing online casino data
  • Implement CSV upload functionality for casino information
  • Develop a web scraping system for slot game data
  • Provide data visualization and analysis tools
  • Include a debug interface for monitoring scraping processes

Key Features:

  1. CSV Upload Interface

    • Allow users to upload CSVs containing casino information (names, URLs, images, etc.)

  2. Casino Data Display

    • Show all casinos as cards on a page
    • Implement search functionality
    • Add country-based filtering

  3. Slot Game Data Scraping

    • Enable on-demand scraping per casino and per country
    • Implement weekly and monthly scheduled scraping
    • Store scraped data (names, positions, images) with timestamps

  4. Data Visualization

    • Display slot positions per category for each casino
    • Show screenshots of scraped pages
    • Create a cross-referenced view of slots across casinos

  5. Export Functionality

    • Allow CSV exports for casinos, slots, and scraping results

  6. Debug Interface

    • Display scraping timing information
    • Show collected HTML and markup
    • Provide filters for successful and failed scrapes

User Requirements:

  • Simple and intuitive interface for data management
  • Flexible scraping options (on-demand and scheduled)
  • Easy-to-understand data visualization
  • Ability to export data for external analysis
  • Comprehensive debugging tools for monitoring scraping processes

User Flows

  1. CSV Upload and Data Management:

    • User navigates to CSV upload page
    • User selects and uploads CSV file with casino information
    • System processes and stores the data
    • User views uploaded casino data on the main display page

  2. Scraping Process:

    • User selects a casino or country for scraping
    • User initiates on-demand scrape or sets up a schedule
    • System performs scraping and stores results
    • User views scraping results on the casino details page

  3. Debug and Analysis:

    • User navigates to the debug interface
    • User filters scraping results (successful/failed)
    • User selects a specific scrape to view details (HTML, markup, timing)
    • User analyzes the data and potentially initiates a retry for failed scrapes

Technical Specifications

Recommended Stack:

  • Frontend: Bolt.new (formerly Replit) for rapid prototyping
  • Backend: Language supported by Bolt.new (e.g., Python, Node.js)
  • Database: To be determined based on Bolt.new capabilities
  • Scraping Tools: To be determined (e.g., BeautifulSoup, Scrapy for Python)
  • Scheduling: To be implemented (e.g., cron jobs or a task queue system)

Technical Decisions:

  1. Use Bolt.new for quick prototype development
  2. Implement a card-based UI for casino display
  3. Create modals for detailed slot information
  4. Develop a flexible scraping system with on-demand and scheduled options
  5. Design a comprehensive debug interface for scraping analysis

API Endpoints

N/A

Database Schema

N/A

File Structure

/ ├── frontend/ │ ├── pages/ │ │ ├── index.js │ │ ├── casinos.js │ │ ├── slots.js │ │ ├── scraping-results.js │ │ └── debug.js │ ├── components/ │ │ ├── CasinoCard.js │ │ ├── SlotModal.js │ │ ├── SearchFilter.js │ │ └── DebugView.js │ └── styles/ │ └── main.css ├── backend/ │ ├── routes/ │ │ ├── csv_upload.js │ │ ├── scraping.js │ │ └── export.js │ ├── models/ │ │ ├── casino.js │ │ └── slot.js │ ├── services/ │ │ ├── scraper.js │ │ └── scheduler.js │ └── utils/ │ └── csv_parser.js ├── config/ │ └── database.js └── package.json

Implementation Plan

  1. Set up the project using Bolt.new
  2. Implement the basic frontend structure (pages and components)
  3. Create the CSV upload functionality
  4. Develop the casino data display page with search and filtering
  5. Implement the slot game data scraping system
  6. Create the scheduling system for scraping
  7. Develop the debug interface
  8. Implement data visualization for casinos and slots
  9. Add export functionality for CSVs
  10. Perform thorough testing and bug fixing
  11. Refine the user interface and experience
  12. Prepare the prototype for demonstration or further development

Deployment Strategy

Information not available in conversation.

Design Rationale

The design decisions for this prototype prioritize rapid development and flexibility. Bolt.new was chosen for quick prototyping of a web-based application. The card-based UI for casinos and modal-based detailed views for slots provide a clean and intuitive user experience. The comprehensive debug interface and flexible scraping options (on-demand and scheduled) were included to facilitate development and testing. The decision to keep data management features simple (no user-driven updates) aligns with the prototype nature of the project, focusing on core functionality validation.