Google Trends

关于

This server provides a powerful tool for developers and data scientists to access Google Trends search interest data. It's specifically engineered for forecasting and backtesting applications, allowing you to retrieve historical search interest for any query over a 30-day window, strictly ending at a specified cutoff date. This ensures no future data leakage, making it ideal for simulating predictions at historical points in time. The data is normalized on a 0-100 scale, reflecting peak popularity, and is currently configured for US region search interest.

主要功能

• Retrieves 30-day search interest windows before a cutoff date
• Configured for US region search interest data
• User-friendly error handling for common issues
• Strictly filtered data for backtesting compliance
• 0 GitHub stars
• Returns normalized interest scores on a 0-100 scale

使用案例

• Analyzing historical search interest trends without future data leakage
• Building and backtesting forecasting models
• Integrating Google Trends data into data science pipelines