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A command-line tool designed to solve content preservation challenges with Ethical Scraping.

Project description

Capcat — A command-line tool designed to solve content preservation challenges with Ethical Scraping.

Captures articles from 12 curated sources as clean Markdown files with optional self-contained HTML output. Supports interactive TUI and batch automation.

Installation

pipx install capcat

Requires Python 3.8+.

Quick Start

# Interactive TUI
capcat catch

# Fetch a bundle
capcat bundle tech --count 10

# Fetch specific sources
capcat fetch hn,bbc --count 15

# Archive a single article
capcat single https://example.com/article

# List available sources
capcat list sources

# Show version
capcat --version

No init required — capcat initializes automatically on first run.

Commands

Command Description
catch Launch the interactive TUI
single <url> Archive a single article
fetch <sources> Batch fetch from sources (comma-separated)
bundle <name> Fetch a pre-configured bundle
list sources List all available sources
list bundles List all available bundles
add-source --url <url> Add a custom RSS/news source
remove-source Remove a source
generate-config Generate a YAML config
init Manually initialize project in current directory

Options

Flag Description
--count N Number of articles to fetch (default: 30)
--output DIR Output directory (default: current dir)
--media Download video, audio, and PDF files
--html Generate self-contained HTML output
--update Re-fetch and update existing articles
-V, --verbose Verbose output
-q, --quiet Quiet output
-L <file> Log output to file
--version Show version and exit
--help Show help and exit

Bundles

Pre-configured topic collections:

Bundle Sources Description
tech IEEE, Mashable Consumer technology news
techpro HN, Lobsters, InfoQ Professional developer news
ai MIT News, Google Research AI research and developments
science Nature, Scientific American Scientific publications
news BBC, Guardian General news
sports BBC Sport Sports coverage

Available Sources

Tech: Hacker News (hn), Lobsters (lb), InfoQ (iq), IEEE Spectrum (ieee), Mashable, Gizmodo, Futurism

AI: Google Research (googleai), OpenAI (openai), MIT News (mitnews), LessWrong (lesswrong)

News: BBC (bbc), The Guardian (guardian)

Science: Nature (nature), Scientific American (scientificamerican)

Sports: BBC Sport (bbcsport)

Output Structure

Batch mode (fetch / bundle)

News/news_DD-MM-YYYY/
├── Hacker-News_DD-MM-YYYY/
│   ├── 01_Article_Title/
│   │   ├── article.md
│   │   ├── comments.md
│   │   ├── html/
│   │   │   ├── article.html
│   │   │   └── comments.html
│   │   └── images/
│   └── 02_Another_Article/
└── BBC_DD-MM-YYYY/

Single article mode

Capcats/cc_DD-MM-YYYY-Title/
├── article.md
├── html/
│   └── article.html
└── images/

HTML output is fully self-contained — embedded CSS, no external dependencies. Open in any browser, share via email, archive permanently.

Configuration

Optional capcat.yml in your project directory:

output_base_dir: "../MyNews"
max_workers: 8
download_media: false

Config priority: CLI args → environment variables → capcat.yml → defaults.

Automation

# Daily tech news
0 9 * * * cd ~/news && capcat bundle tech --count 20 --html

# Weekly science digest
0 10 * * 0 cd ~/news && capcat bundle science --count 30 --media

Privacy and Ethics

  • Usernames anonymized as "Anonymous" in comment archives
  • Respects robots.txt
  • Rate limiting: 1 request per 10 seconds
  • Prefers RSS/APIs over HTML scraping
  • No paywall circumvention
  • Proper source attribution

Documentation

Full documentation at capcat.org:

Contributing

Open an issue or pull request on GitHub.

License

MIT License — see LICENSE.txt

Links

Project details


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