re: Friday SEC Baseball

lol grok wrote the code for me..

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import requests
from bs4 import BeautifulSoup
import pandas as pd
from datetime import datetime

# List of SEC team names for filtering
SEC_TEAMS = {
'Alabama', 'Arkansas', 'Auburn', 'Florida', 'Georgia', 'Kentucky',
'LSU', 'Mississippi State', 'Missouri', 'Oklahoma', 'Ole Miss',
'South Carolina', 'Tennessee', 'Texas', 'Texas A&M', 'Vanderbilt'
}

def scrape_sec_baseball_scores():
# ESPN college baseball scores URL
url = 'LINK ;

# Add headers to mimic a browser request
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
}

try:
# Make the request
response = requests.get(url, headers=headers)
response.raise_for_status()

# Parse the HTML
soup = BeautifulSoup(response.text, 'html.parser')

# Find all game containers
games = soup.select('.ScoreboardScoreCell')

# List to store game data
game_data = []

# Current date
current_date = datetime.now().strftime('%Y-%m-%d')

for game in games:
# Get teams
teams = game.select('.ScoreCell_Score--scoreboard')
if len(teams) != 2:
continue

team1_name = teams[0].get_text(strip=True)
team2_name = teams[1].get_text(strip=True)

# Check if either team is in SEC
if team1_name not in SEC_TEAMS and team2_name not in SEC_TEAMS:
continue

# Get scores
scores = game.select('.ScoreCell_Score--value')
team1_score = scores[0].get_text(strip=True) if scores else 'N/A'
team2_score = scores[1].get_text(strip=True) if len(scores) > 1 else 'N/A'

# Get game status
status = game.select_one('.ScoreCell_Score--status') or game.select_one('.ScoreCell_Score--time')
game_status = status.get_text(strip=True) if status else 'Unknown'

# Store the data
game_data.append({
'Date': current_date,
'Team 1': team1_name,
'Team 1 Score': team1_score,
'Team 2': team2_name,
'Team 2 Score': team2_score,
'Status': game_status
})

# Create DataFrame
df = pd.DataFrame(game_data)

# Save to CSV
df.to_csv('sec_baseball_scores.csv', index=False)
print("Data saved to sec_baseball_scores.csv")

return df

except requests.RequestException as e:
print(f"Error fetching data: {e}")
return None
except Exception as e:
print(f"Error processing data: {e}")
return None

def main():
print(f"Scraping SEC baseball scores for {datetime.now().strftime('%Y-%m-%d')}")
scores_df = scrape_sec_baseball_scores()

if scores_df is not None and not scores_df.empty:
print("\nSEC Baseball Scores:")
print(scores_df)
else:
print("No SEC games found or an error occurred.")

if __name__ == "__main__":
main()

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Anyone want to try it in python?

One Note..

Date-Specific Scores: This code gets current scores. To scrape scores for a specific date, you’d need to modify the URL or use ESPN’s hidden API (e.g., LINK ), but that requires API exploration and possibly authentication.

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How would that even work here? I assume Chicken would have to create a page for it?

I'm ready. Inject this into my veins..

Hunter Elliot on the mound. He’s hurt us before. Let’s go!

Good DP to end the top of 1

Swayze is a nice looking field

First pitch for root is a bomb…. Welcome to the SEC…. SMH

Nah.

Nice recovery on the next batter.

Our outfielders dive for uncatchable balls way too damn much. Giving away free bases.

Spoke too soon on rebounding. :/