The most comprehensive RSS/Atom/JSON feed discovery tool. EBFF combines multiple discovery techniques with intelligent scoring to find feeds that other tools miss.

• 🔍 8+ Discovery Methods - From common patterns to content sniffing
• 📊 Quality Scoring - Rates feeds 0-100 based on freshness, content, and validity
• 🚀 Fast & Concurrent - Batch process hundreds of sites efficiently
• 📰 Multi-Format Support - RSS, Atom, JSON Feed, Podcasts
• 🎯 Smart Detection - Meta tags, sitemaps, and heuristic analysis
• 📁 Export Options - JSON, CSV, or structured data for integration

# Install
pip install -r requirements.txt

# Find feeds for a single site
python src/ebff/cli.py techcrunch.com

# Get detailed information
python src/ebff/cli.py bbc.com --detailed

# Only high-quality feeds (score 70+)
python src/ebff/cli.py news.ycombinator.com --min-score 70

pip install -r requirements.txt

# Basic discovery
python src/ebff/cli.py example.com

# Deep scan with all methods
python src/ebff/cli.py example.com --deep-scan

# Batch processing
python src/ebff/cli.py --batch sites.txt --workers 10

from ebff import FeedFinder

# Initialize finder
finder = FeedFinder()

# Discover feeds
feeds = finder.discover("techcrunch.com")

Even Better than existing feed finders because:

• ✅ 8+ discovery methods vs 2-3 in other tools
• ✅ Quality scoring and validation
• ✅ JSON Feed support
• ✅ Batch processing
• ✅ Modern Python 3.8+ codebase

MIT License