formulascraper 1.1.0

A Python library for parsing Formula data.

formulascraper

What is this?

This module extract Formula 1, F1 Academy, Formula 2, Formula 3 data, encompassing drivers, races, teams, and fastest laps, through a parser.

Categories from which you can pull data:

• Drivers Standings (drivers)
• Race Results (races)
• Teams Standing (teams)
• Fastest Laps Results (fastest_laps)

Formula 1

Each category is since 1950, but Teams Standings only since 1958

Formula 1 Academy

Each category is since 2023

Formula 2

Each category is since 2017

Formula 3

Each category is since 2019

Quick Guide

The module is based on the following structure:

from formulascraper import Formula1Scraper, get_drivers_data

scraper = Formula1Scraper()
drivers_data = scraper.get_drivers_data({YEAR})

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Getting Started

Installation

Using the library is as simple and convenient as possible: Installing the package with pip:

pip install formulascraper

Classes and functions that available:

Formula1Scraper:

get_drivers_data(year)
get_races_data(year)
get_teams_data(year)
get_fastest_laps_data(year)

Formula1AcademyScraper:

get_drivers_data(year)
get_races_data(year)
get_teams_data(year)

Formula2Scraper:

get_drivers_data(year)
get_races_data(year)
get_teams_data(year)

Formula3Scraper:

get_drivers_data(year)
get_races_data(year)
get_teams_data(year)

Using

Examples of all operations:

Import the Formula1Scraper class:

from formulascraper import Formula1Scraper

Initialize a scraper object:

scraper = Formula1Scraper()

Scraping Data Call the parsing methods on the parser object, passing in the year:

get_{category}_data takes as an argument only one argument which is {year}

drivers_data = scraper.get_drivers_data(2021)
races_data = scraper.get_races_data(2023)
teams_data = scraper.get_teams_data(2018) 
fastest_laps = scraper.get_fastest_laps_data(1999)

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Developer

My profile: ryazhenkofc