web-archive-analysis

Query the Wayback Machine CDX API to identify technology migrations from historical snapshots.

7|1|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/ArianHobson333/claude-bug-bounty-stack --skill web-archive-analysis-arianhobson333
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web-archive-analysis
Source: https://github.com/ArianHobson333/claude-bug-bounty-stack/tree/main/vendor/communitytools/projects/pentest/.claude/skills/techstack-identification/web_archive_analysis
Command: npx skills add https://github.com/ArianHobson333/claude-bug-bounty-stack --skill web-archive-analysis-arianhobson333

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, BeautifulSoup, lxml, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill identifies technology migrations over time by querying the Wayback Machine, helping users understand how a website's technology stack has evolved.

Core Features & Use Cases

  • Historical Technology Detection: Discovers historical technology usage of a website.
  • Technology Migrations: Identifies changes in the technology stack over time.
  • Use Case: If a website has transitioned from a WordPress blog to a React application, this Skill can detect the migration and provide evidence of the change.

Quick Start

Use the web-archive-analysis skill to analyze the technology stack of example.com over the past 5 years.

Frequently Asked Questions about web-archive-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect website technology migrations using the Wayback Machine?

You can track technology migrations by querying the Wayback Machine CDX API to retrieve historical snapshots and compare a website's technology stack over time, providing evidence of changes like a shift from WordPress to React.

Can I analyze historical web technology stacks for digital forensics?

Yes, you can perform web forensics by applying historical technology detection to identify past technology usage of a website. This helps analyze how a website's technology stack has evolved over time.

Do I need Python libraries to perform web archive analysis?

Yes, web archive analysis requires Python libraries including requests, BeautifulSoup, and lxml for data processing. These libraries facilitate querying the Wayback Machine API and parsing historical snapshot data.

What is the best way to find evidence of a website migrating from WordPress to React?

The best way to find evidence of a technology migration is to query the Wayback Machine CDX API and compare historical snapshots. This identifies changes in the technology stack and provides evidence of the transition.

Does web archive analysis support querying the Wayback Machine CDX API directly?

Yes, web archive analysis supports querying the Wayback Machine CDX API directly. It uses this access to retrieve and compare historical snapshots to identify technology migrations over time.