wayback-frequency

Compute Wayback Machine capture frequency for URLs over date ranges.

3|Updated Jan 17, 2026

Search Tags:#archive #historical-data #url-analysis #frequency #wayback #web-archiving

Ready to run

npx skills add https://github.com/Mearman/marketplace --skill wayback-frequency

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: wayback-frequency
Source: https://github.com/Mearman/marketplace/tree/main/plugins/wayback/skills/wayback-frequency
Command: npx skills add https://github.com/Mearman/marketplace --skill wayback-frequency

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Understand how often a URL is captured by the Wayback Machine over a defined time window to gauge archival exposure and historical visibility.

Core Features & Use Cases

Capture frequency: compute total captures and average rate over a range.
Range queries: analyze specific date intervals with optional year-by-year breakdown.
Output options: produce compact summaries or JSON for ingestion into dashboards or reports.

Quick Start

Run the frequency script from the plugin directory to analyze a URL's archive history over a chosen date range.

Frequently Asked Questions about wayback-frequency

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

FAQPage Schema

How do I measure how often a URL is archived by the Wayback Machine?▼

Analyze Wayback Machine capture frequency over specific date intervals by supplying a URL plus optional from and to dates. The tool outputs compact summaries or JSON for direct ingestion into historical visibility dashboards.

Can I get a year-by-year breakdown of Wayback Machine captures for a URL?▼

Yes, you can get a year-by-year breakdown of Wayback Machine captures by passing the --full command-line option. This analyzes archival exposure across flexible date ranges instead of just providing a single aggregate total.

How do I export historical web archiving data to JSON for reporting?▼

Export historical web archiving data to JSON by running the frequency script with the --json option. This formats the URL analysis results for ingestion into dashboards or automated reports instead of printing compact text summaries.

Do I need any external dependencies to analyze Wayback Machine URL frequency?▼

No external dependencies are needed to analyze Wayback Machine URL frequency. The Skill operates independently using its internal scripts, requiring only a target URL and optional date parameters to gauge historical visibility.

What is the best way to check a URL's historical visibility in web archives?▼

The best way to check a URL's historical visibility in web archives is to compute its capture frequency over a defined time window. This reveals archival exposure and historical visibility without manually searching the Wayback Machine.