How to Scrape Motorsport Data: F1, NASCAR, and MotoGP Stats

How to Scrape Motorsport Data: F1, NASCAR, and MotoGP Stats Motorsport data is rich with statistics — lap times, driver standings, pit strategies, and historical records. Let's build scrapers for the three biggest racing series. Data Sources Ergast API — Free F1 data going back to 1950 NASCAR.com — Live and historical results MotoGP.com — Race results and rider stats Setting Up pip install requests beautifulsoup4 pandas matplotlib Formula 1: Ergast API The Ergast API is completely free with no authentication required: import requests import pandas as pd ERGAST_BASE = " https://ergast.com/api/f1 " def get_f1_standings ( season = " current " ): url = f " { ERGAST_BASE } / { season } /driverStandings.json " resp = requests . get ( url ) data = resp . json () standings = [] for item in data [ " MRData " ][ " StandingsTable " ][ " StandingsLists " ][ 0 ][ " DriverStandings " ]: driver = item [ " Driver " ] standings . append ({ " position " : int ( item [ " position " ]), " driver " : f " {