Data fetch code from github

data_fetch.py

+import requests
+import json
+import pandas as pd
+
+# Repository details
+owner = "EbookFoundation"
+repo = "free-programming-books"
+
+# GitHub API endpoint
+url = f"https://api.github.com/repos/{owner}/{repo}/issues"
+
+headers = {
+    "Accept": "application/vnd.github+json",
+    # "Authorization": "Bearer YOUR_GITHUB_TOKEN"  # optional
+}
+
+# Fetch issues
+response = requests.get(url, headers=headers)
+
+if response.status_code == 200:
+    issues = response.json()
+
+    # Extract key fields from each issue
+    data = []
+    for issue in issues:
+        data.append({
+            "id": issue.get("id"),
+            "number": issue.get("number"),
+            "title": issue.get("title"),
+            "state": issue.get("state"),
+            "created_at": issue.get("created_at"),
+            "updated_at": issue.get("updated_at"),
+            "user_login": issue["user"]["login"] if "user" in issue and issue["user"] else None,
+            "comments": issue.get("comments"),
+            "html_url": issue.get("html_url")
+        })
+
+    # Convert to DataFrame
+    df = pd.DataFrame(data)
+    print(df.head())
+    df.to_excel("C://Users//Nandhini//OneDrive//Dokumen//github_data.xlsx")
+
+else:
+    print(f"Failed to fetch issues: {response.status_code}")