Godspeed Crawler: Structured Content Sync from GitHub & Web URLs to Local Files
Description
The Godspeed Crawler is a file-based content ingestion system built using the Godspeed Framework. It extracts and continuously syncs content from GitHub repositories (both public and private) and various web URLs (blogs, news sites, Twitter feeds, etc.) and saves the extracted content locally in structured folders.
Key features include:
- Detect changes using GitHub commit hashes, RSS feeds, or sitemaps
- Extract only new or modified content to avoid redundant processing
- Store content in a local folder that mirrors the structure of:
- the GitHub repo (for GitHub content), or
- the website's sitemap hierarchy (for URLs)
- Save content as
.md or .txt files, with metadata headers (YAML frontmatter or JSON)
- Track and update only changed files without re-downloading everything
The crawler is ideal for offline indexing, static content generation, or RAG pipelines that load files from local disk.
Categories
- Backend
- Automation
- Data Ingestion
- Developer Tools
Type
Large
Requirements
- Godspeed Framework (for project scaffolding and event-driven flow)
- GitHub API (to access private/public repos and detect commit diffs)
- Cheerio / Playwright / Puppeteer (for scraping HTML content)
- RSS Parser (to detect web updates)
- cron / godspeed-cron (for scheduled syncs)
- Filesystem module or fs-extra (to write, diff, and update content files)
- dotenv (for managing API keys and tokens)
- Optional: content hashing to detect duplicates or changes (e.g., SHA-256)
Acceptance Criteria
Godspeed Crawler: Structured Content Sync from GitHub & Web URLs to Local Files
Description
The Godspeed Crawler is a file-based content ingestion system built using the Godspeed Framework. It extracts and continuously syncs content from GitHub repositories (both public and private) and various web URLs (blogs, news sites, Twitter feeds, etc.) and saves the extracted content locally in structured folders.
Key features include:
.mdor.txtfiles, with metadata headers (YAML frontmatter or JSON)The crawler is ideal for offline indexing, static content generation, or RAG pipelines that load files from local disk.
Categories
Type
Large
Requirements
Acceptance Criteria
source_urllast_updatedcommit_hashorcontent_hash./data/github/,./data/web/)