From 34ccd5ad9505e1247f643422d226ce7af21c3767 Mon Sep 17 00:00:00 2001
From: Pratham Gupta <85290399+Prathamg001@users.noreply.github.com>
Date: Tue, 28 May 2024 12:18:13 +0530
Subject: [PATCH] Create Football site webiste table scrap

---
 Football site webiste table scrap | 40 +++++++++++++++++++++++++++++++
 1 file changed, 40 insertions(+)
 create mode 100644 Football site webiste table scrap

diff --git a/Football site webiste table scrap b/Football site webiste table scrap
new file mode 100644
index 00000000..e93c6394
--- /dev/null
+++ b/Football site webiste table scrap	
@@ -0,0 +1,40 @@
+#LA LIGA SQUAD STATS TABLE#
+
+
+import requests
+import pandas as pd
+from bs4 import BeautifulSoup
+
+# Define the URL of the webpage you want to scrape
+url = "https://fbref.com/en/squads/8d6fd021/Alaves-Stats"
+
+# Send an HTTP GET request to the URL
+response = requests.get(url)
+
+# Check if the request was successful
+if response.status_code == 200:
+    # Parse the HTML content of the page
+    soup = BeautifulSoup(response.text,'html.parser')
+    squad_stats_table = soup.select('table.stats_table')[2]
+
+    if squad_stats_table:
+        # Extract data directly from the table
+        data = []
+        for row in squad_stats_table.find_all('tr')[1:]:
+            row_data = [cell.get_text(strip=True) for cell in row.find_all(['td', 'th'])]
+            data.append(row_data)
+
+        # Define the column names (headers)
+        headers = data[0]
+        # Create a pandas DataFrame
+        df = pd.DataFrame(data[1:], columns=headers)
+
+        # Save the DataFrame to an Excel file
+        excel_file = "Team Score .xlsx"
+        df.to_excel(excel_file, index=False)
+
+        print(f"Data has been scraped and saved to {excel_file}")
+    else:
+        print("Squad stats table not found on the page.")
+else:
+    print("Failed to retrieve the webpage")