Changelog Monitor

Monitor product changelogs and release notes across multiple sources. This actor scrapes changelog pages, release notes, and version history pages to extract structured data about software updates.

Features

• Multi-source monitoring for changelogs from any website, GitHub releases, and documentation sites
• Version extraction with semantic versioning detection and parsing
• Date normalization across different date formats found on changelog pages
• Breaking change detection by scanning for breaking change markers and keywords
• Description extraction with summary text for each changelog entry
• GitHub releases support for extracting release notes from GitHub repositories

Use Cases

• Track software dependencies for breaking changes and security updates
• Monitor competitor product updates and feature releases
• Build automated alerting for new versions of tools your team uses
• Create a unified dashboard of all product updates across your tech stack
• Feed changelog data into CI/CD pipelines for automated dependency management

Input Configuration

Parameter	Type	Default	Description
urls	array	["https://docs.apify.com/changelog"]	URLs of changelog or release pages
maxEntries	integer	100	Maximum entries to extract

Output Format

Each changelog entry produces a dataset item with:

• sourceUrl - The changelog page URL
• version - Version number or release tag
• date - Release date in ISO format when possible
• title - Entry title or heading
• description - Full description text of the changelog entry
• isBreakingChange - Whether the entry contains breaking changes
• tags - Categories or labels associated with the entry
• scrapedAt - ISO timestamp of when the data was extracted

Supported Formats

Works with common changelog formats including Keep a Changelog, GitHub Releases, custom HTML changelogs, and documentation site changelog sections.

Limitations

• JavaScript-rendered changelog pages may not be fully supported
• Very large changelogs (1000+ entries) should be limited via maxEntries
• Date parsing works best with standard date formats (ISO, US, European)