🎾 FFT Tennis Club Scraper

💡 A powerful scraper to extract tennis club information from the French Tennis Federation (FFT) website

Extract comprehensive tennis club data across France with this reliable scraping solution! Get structured data about tennis clubs, including locations, postal codes, and more. Perfect for sports facility mapping, club analytics, and database building.

✨ What You'll Get

📊 Available Data

• Club names
• City locations
• Postal codes (automatically resolved)
• Search radius information
• Multi-city support with parallel processing

Data Structure Details

Field	Type	Description	Optional
nom	string	Club name	no
ville	string	Club city	no
code_postal	string	Postal code	no
ville_recherche	string	Search city reference	no
page	integer	Results page number	no

🚀 Performance Features

⚡️ Lightning Fast:

• Parallel processing of up to 25 cities
• Optimized resource usage
• Smart retry mechanism
• Efficient postal code caching

🛠️ Smart Handling:

• Residential proxy support
• Dynamic content handling
• Automatic view switching
• Pagination management
• Robust error handling

🗺️ Coverage:

• All French cities supported
• Configurable search radius
• Postal code resolution via government API
• Clean, structured data output

📋 Quick Start

Input Parameters

Parameter	Type	Default	Description
cities	array	required	List of cities to search
radiusKm	integer	30	Search radius in kilometers

Input Example

1{
2    "cities": [
3        "paris", "marseille", "lyon", 
4        "lille", "nantes"
5    ],
6    "radiusKm": 30
7}

Output Example

1{
2    "nom": "Tennis Club Paris Centre",
3    "ville": "PARIS 04",
4    "code_postal": "75004",
5    "ville_recherche": "paris",
6    "page": 1
7}

💡 Pro Tips

• Use up to 25 cities simultaneously for maximum efficiency
• Adjust the radius based on area density:
  • 30km works well for metropolitan areas
  • Consider smaller radius for dense urban areas
  • Use larger radius for rural regions
• City names are flexible:
  • Both "Saint-Étienne" and "Saint Etienne" work
  • Accents are handled automatically
  • City names are matched with FFT's database
• Postal codes are intelligently resolved:
  • Uses official government API
  • Handles special cases (arrondissements)
  • Includes caching for better performance
  • Falls back to department codes when needed

🔒 Reliability & Performance

Data Quality

• Automatic validation of club data
• Consistent postal code resolution
• Clean text formatting
• Structured output format

Technical Robustness

• Residential proxy support
• Automatic retry mechanism
• Smart session handling
• Rate limiting compliance
• Error recovery system

Performance Optimization

• Parallel processing of cities
• Efficient memory usage
• Response caching
• Smart request queuing
• Optimized browser instances

🚀 Best Practices

1. Proxy Usage

   • Use residential proxies for better reliability
   • Ensure French IP addresses for optimal results

2. Data Collection

   • Start with major cities first
   • Use consistent radius for comparable results
   • Monitor execution logs for quality control

3. Error Handling

   • Screenshots are saved on errors
   • Detailed error logging
   • Automatic retry on failures

🤝 Support

Need assistance? We're here to help!

• Open an issue for feature requests
• Technical support available via issues
• Documentation available for detailed configuration
• Regular updates and maintenance

📝 Notes

• Respects FFT's terms of service
• Data is publicly available information
• Use responsibly and ethically
• Consider rate limiting for production use