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How to Build a Google SERP Monitoring Tool for Online Casino Keywords

A prototype application built with Bolt.new to track and visualize Google SERP data for online casino and gambling keywords across multiple countries, using mock data for initial development and testing.

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Simple Summary

This plan outlines the development of a prototype application using Bolt.new to monitor and track Google SERP data for online casinos and gambling sites, with weekly data collection and mock data generation for initial testing.

Product Requirements Document (PRD)

Goals:

  • Create a prototype application to monitor Google SERP AI overview and store historical results
  • Focus on specific countries, keywords, and devices
  • Track domains linked from the first parts of the overview and the top 10 results
  • Use mock data for initial development and testing

Target Audience:

  • Developers and stakeholders interested in SERP data for online casinos and gambling sites

Key Features:

  • Weekly data collection
  • Storage of historical SERP data
  • Monitoring of 5 countries
  • Tracking of specific domains in top 10 results and AI overviews
  • Table-based visualization with emphasis on links and positions
  • CSV input for domains, pages, and keywords to monitor
  • Mock data generation for prototype testing

User Requirements:

  • Ability to view SERP data in tables
  • Track week-to-week changes in positions
  • Monitor new and disappeared links
  • Input domains, pages, and keywords via CSV

User Flows

  1. Data Input: User uploads CSV file containing domains, pages, and keywords to monitor
  2. Data Visualization: User views table-based reports showing SERP data, including links and positions
  3. Historical Tracking: User compares week-to-week changes in SERP positions and monitors new/disappeared links

Technical Specifications

  • Platform: Bolt.new for prototype development
  • Data Collection: ScrapingBee for SERP data extraction
  • Data Storage: Bolt.new's built-in storage capabilities
  • Data Input: CSV file processing
  • Visualization: Table-based reports
  • Mock Data: Generation of simulated SERP data for online casinos and gambling sites

API Endpoints

N/A

Database Schema

N/A

File Structure

/ ├── app/ │ ├── components/ │ │ ├── DataTable.js │ │ └── CSVUploader.js │ ├── pages/ │ │ ├── index.js │ │ └── results.js │ ├── utils/ │ │ ├── csvParser.js │ │ └── mockDataGenerator.js │ └── styles/ │ └── global.css ├── public/ │ └── assets/ ├── config/ │ └── keywords.js └── package.json

Implementation Plan

  1. Set up Bolt.new project environment
  2. Implement CSV upload functionality
  3. Create mock data generator for online casino SERP results
  4. Develop data storage and retrieval mechanisms
  5. Build table-based visualization component
  6. Implement historical tracking logic
  7. Create user interface for data exploration
  8. Integrate ScrapingBee for future live data collection
  9. Conduct thorough testing with mock data
  10. Prepare for transition to live data collection

Deployment Strategy

Information not available in conversation.

Design Rationale

  • Bolt.new was chosen for rapid prototype development
  • ScrapingBee selected for its ability to handle SERP data extraction challenges
  • Weekly data collection balances tracking changes over time without system overload
  • Table-based visualization emphasizes links and positions for clear data representation
  • CSV input method provides a simple and flexible way to manage monitored domains and keywords
  • Mock data focused on online casinos and gambling sites aligns with the project's theme and allows for realistic prototype testing