Changelog
2025-03-29 / v2.1.3
🍭 Default activation of trending search
2025-03-14 / v2.0.12
🚀 Increased timeline data retry attempts for better reliability
⏱️ Optimized retry delays
🧹 Simplified log messages for cleaner output
2025-03-13 / v1.9.35
🔄 Improved Google Trends scraper reliability by implementing sequential API calls
🛡️ Added 3 retry attempts specifically for regional data to handle rate limiting
2025-03-08 / v1.8.14
⚡ Completely refactored trending searches implementation for significantly improved performance
📉 Reduced resource consumption and execution time
2025-03-08 / v1.6.7
✨ Added timeframe options for trending searches (4h, 24h, 48h, 7 days)
🔄 Updated Google Trends URL from /trends/trendingsearches/daily to /trending
🌐 Improved trending searches data collection with timeframe parameter
2025-03-07 / v1.5.34
🧹 Refactorized code structure to eliminate redundant methods between classes
🔢 Added trend_volume_formatted
field to trending searches results with numerical conversion (e.g., "200K+" → 200000)
📦 Removed unused imports and optimized dependencies
2025-02-28 / v1.4.14
🔄 Enhanced proxy rotation with unique session IDs for improved IP diversity
⚡️ Optimized retry strategy
🧹 Cleaned up log outputs for better readability and debugging
🔧 Fixed duplicate success messages in logs
2025-02-27 / v1.3.6
🛡️ Added default configuration with residential proxy
2025-02-22 / v1.2.2
✨ Enhanced trending searches data with volume and related terms
2025-02-21 / v1.1.5
🔧 Hotfix: Improved trending searches reliability with enhanced retry strategy
2025-01-12 / v0.9.61
✨ Added daily trending searches feature with new enableTrendingSearches
parameter
🌍 Added support for country-specific trending searches monitoring
2025-01-07 / v0.8.52
✨ Added optional regional data fetching with new fetchRegionalData
parameter
⚡️ Improved performance by optimizing data retrieval process
2025-01-05 / v0.8.47
🔒 Improved stability with enhanced proxy handling and retry mechanisms
🌍 Added comprehensive language support with automatic country-based adaptation
🔧 Enhanced URL formatting and parameter encoding for better request reliability
📊 Optimized data collection with improved error handling and recovery