This tool is designed to scrape timing and speed data from Timing PDF files of the Bennetts British Superbike Championship. Engineers and analysts can use this to extract rider-specific session data into a structured Excel (.xlsx) format for further analysis. It simplifies the process of data extraction, allowing for a focus on performance assessment and strategy development for race teams and enthusiasts.
- Extracts timing and speed data for individual riders from specified PDF documents.
- Organizes session data into separate sheets within a single Excel file for easy access and subsequent analysis.
- Install required dependencies:
pip install -r requirements.txt. - Run the script jupyter notebook file.
- Enter the rider's name and the path to the PDF file you wish to scrape.
- The script will process the data and output an Excel file with the results.
The Excel file will have the following structure:
- Each session for the rider will be nested within its own sheet.
- Sheets will contain columns for lap number, sectors, lap time, and speed.
- The Excel file will be saved in the same directory as the script or a specified output directory.
Below are example images showing the extracted data in the final Excel output and a sample from the PDF source file for a single session:
- Final Excel output:
- PDF Source file:
