eduardofafernandes/f1fantasyscraper

The main focus of this project is to track f1 fantasy game.

F1FantasyScraper

The main focus of this project is to track F1 fantasy game prices. If you are interested in only the data visit https://github.com/EduardoFAFernandes/F1FantasyData

This program can request price data to F1Fantasy and save it as a CSV.

Installation

To run the project on your machine you will need to:

• Install python 3
• Clone the repository
• Run pip install -r requirements.txt With this default configuration will run.

Run the program

After installation simply run python scrapper.py This will fetch the data and save it in a file named prices.csv in the working directory. If you want the program to fetch the data in a constant interval you need one additional parameter -dt, --delta-time for example: python scrapper.py -dt 30 will keep the program running and will fetch the data every 30 minutes. More information in the Usage section.

Usage

Bellow you can see the help command being run.

usage: scraper.py [-h] [--delta-time DELTA_TIME]
                  [--unit-time {m,minutes,h,hours}]
                  [--logging-level {CRITICAL,FATAL,ERROR,WARN,WARNING,INFO,DEBUG}]
                  [--logging-file LOGGING_FILE] [--report-file REPORT_FILE]

optional arguments:
  -h, --help            show this help message and exit
  --delta-time DELTA_TIME, -dt DELTA_TIME
                        interval of time in unitTime between updates (default:
                        -)
  --unit-time {m,minutes,h,hours}, -ut {m,minutes,h,hours}
                        unit of time to use with deltaTime (default:
                        'minutes')
  --logging-level {CRITICAL,FATAL,ERROR,WARN,WARNING,INFO,DEBUG}, -ll {CRITICAL,FATAL,ERROR,WARN,WARNING,INFO,DEBUG}
                        logging level to use (default: 'INFO')
  --logging-file LOGGING_FILE, -lf LOGGING_FILE
                        file to save the logs (default: -)
  --report-file REPORT_FILE, -rf REPORT_FILE
                        file to save the data in a smaller format (default:
                        'prices.csv')