[FEATURE]: website value checker userscript

[bittricky]

Website Value Checker

Overview

This issue proposes expanding the current Website Value Checker userscript to provide a holistic financial evaluation of any visited website that the user will navigate too. Beyond merely displaying an estimated website value and potential daily earnings, the objective is to incorporate a range of financial metrics that offer deeper insights into a website’s overall monetary performance. A financial version of wappalyzer

Objective

• Enhanced Evaluation: Deliver a comprehensive financial snapshot that includes various revenue and traffic-related metrics.
• Multi-API Integration: Leverage multiple data sources/APIs to aggregate diverse financial data points.
• User-Friendly Presentation: Present a detailed yet non-intrusive overlay on web pages, giving users clear insights at a glance.
• Configurability: Allow users to configure API keys and adjust settings if necessary.

Proposed APIs and Data Sources

To build a robust financial evaluation, consider integrating data from the following APIs:

1. WorthOfWeb API

• Data Provided:
  • Estimated Website Value: A monetary valuation based on current performance metrics.
  • Daily Revenue Figures: Estimated earnings per day.
• Usage: Serve as the baseline for overall website valuation and daily income.

2. SimilarWeb API

• Data Provided:
  • Traffic Metrics: Monthly visitors, page views, engagement metrics, and geographic distribution.
• Usage: Use these metrics to infer revenue potential (e.g., ad revenue estimates) and validate market presence.

3. SEMRush or Ahrefs API

• Data Provided:
  • SEO Metrics: Domain authority, backlink count, keyword rankings, and organic search traffic.
• Usage: Evaluate the website’s market positioning and potential for sustainable revenue growth.

4. Ad Revenue Estimation Services (or relevant benchmarks)

• Data Provided:
  • CPM/CPC Benchmarks: Average revenue metrics from advertising models.
• Usage: Estimate potential ad revenue and calculate revenue per visitor, offering insight into monetization efficiency.

Detailed Financial Metrics

The userscript should aim to display the following metrics for a comprehensive financial evaluation:

• Estimated Website Value:

  • A holistic valuation derived from current revenue streams, traffic data, and market positioning.

• Daily Revenue:

  • The estimated amount the website earns on a daily basis.

• Monthly and Annual Revenue Projections:

  • Derived from daily figures to provide a longer-term revenue outlook.

• Traffic Metrics:

  • Monthly Visitors & Page Views:
    • Key indicators of website popularity and engagement, which drive revenue potential.
  • User Engagement:
    • Metrics such as average session duration and bounce rate (if available) to contextualize monetization efficiency.

• Revenue Per Visitor (RPV):

  • A calculation of revenue generated per visitor, useful for comparing monetization performance across sites.

• SEO and Market Position Metrics:

  • Domain Authority & Backlink Profile:
    • Indicators of a website's competitive strength and organic search potential.
  • Keyword Rankings:
    • Provide insight into the sustainability of traffic and revenue over time.

• Ad Revenue Potential:

  • CPM/CPC Estimates:
    • Benchmarks to extrapolate possible earnings from ad placements.
  • Conversion Rates:
    • If available, these can help gauge the effectiveness of existing monetization channels.

• Revenue Growth Trends:

  • Historical Growth Rate:
    • Analysis of revenue trends over time to assess future earning potential (subject to data availability).

Implementation Notes

1. Research & API Integration:

   • Identify and assess the available APIs (WorthOfWeb, SimilarWeb, SEMRush/Ahrefs, and ad revenue estimation services).
   • Determine authentication requirements and handle API key management within the userscript.

2. Data Aggregation & Metric Calculations:

   • Develop an abstraction layer to fetch and combine data from multiple APIs.
   • Compute derived metrics such as monthly/annual revenue, revenue per visitor, and growth rates.

3. UI/UX:

   • Redesign the existing overlay to accommodate additional financial metrics without obstructing key webpage content.
   • Provide user options to toggle detailed metrics on or off.

4. Error Handling & Fallbacks:

   • Implement robust error handling to manage API failures, rate limits, or unexpected data formats.
   • Ensure graceful degradation: the userscript should still function if one or more APIs are unavailable.

5. User Configurability:

   • Add settings for users to input API keys and select preferred data sources.
   • Maintain functionality with minimal configuration for users who opt for default settings.

6. Testing & Documentation:

   • Thoroughly test the userscript across various websites and scenarios.
   • Update documentation to include setup instructions, configuration details, and potential limitations of each data source.

Additional Notes

• API Rate Limits and Costs:

  • Some APIs may have rate limits or require paid subscriptions. Careful consideration must be given to API call frequency and caching strategies.

• Data Source Reliability:

  • Monitor changes in third-party APIs or endpoints that may impact data accuracy or availability.

• Privacy & Performance:

  • Ensure that fetching additional data does not compromise webpage performance or user privacy. Only publicly available data should be requested.

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Research the scope of the implementation of this script to determine if this may be better implemented as a browser extension