How to Scrape Sports Injury Reports for Fantasy Analytics

Injury reports are the most time-sensitive data in fantasy sports. Here's how to build an automated injury report scraper for fantasy analytics. Why Automate Injury Tracking? Fantasy sports platforms update injury statuses with varying delays. By scraping primary sources directly, you get earlier access, historical data for drafts, and automated lineup optimization. Core Setup import requests from bs4 import BeautifulSoup import pandas as pd from datetime import datetime import time import random PROXY_URL = " http://api.scraperapi.com " API_KEY = " YOUR_SCRAPERAPI_KEY " def fetch_page ( url , render_js = False ): params = { " api_key " : API_KEY , " url " : url , " render " : str ( render_js ). lower () } resp = requests . get ( PROXY_URL , params = params , timeout = 30 ) resp . raise_for_status () return BeautifulSoup ( resp . text , " html.parser " ) Scraping NFL Injury Reports def scrape_nfl_injuries (): url = " https://www.espn.com/nfl/injuries " soup = fetch_page ( url , render_