add csv download option

app.py

@@ -1,14 +1,15 @@
 import streamlit as st
+import pandas as pd
 from google_play_scraper import search
 
 # Streamlit App
 def main():
     st.title("Google Play App Search")
     st.write("Enter a search term to find apps on the Google Play Store.")
-    
+
     # Input box for search term
     search_term = st.text_input("Search Term", "")
-    
+
     if st.button("Search"):
         if search_term.strip():
             # Fetch apps from the Google Play Store
@@ -20,10 +21,26 @@ def main():
                     country="us",  # Country
                     n_hits=300,  # Number of results
                 )
-                
+
                 # Display results
                 if results:
                     st.success(f"Found {len(results)} apps matching '{search_term}':")
+
+                    # Prepare data for display and download
+                    data = []
+                    for app in results:
+                        data.append({
+                            "Title": app['title'],
+                            "Developer": app['developer'],
+                            "Score": app['score'],
+                            "App ID": app['appId'],
+                            "Link": f"https://play.google.com/store/apps/details?id={app['appId']}"
+                        })
+
+                    # Convert data to DataFrame
+                    df = pd.DataFrame(data)
+
+                    # Display apps in the UI
                     for i, app in enumerate(results, 1):
                         st.subheader(f"{i}. {app['title']}")
                         st.write(f"**Developer:** {app['developer']}")
@@ -33,11 +50,17 @@ def main():
                         st.image(app['icon'], width=64)
                         st.write("---")
 
-                    for i, app in enumerate(results, 1):
-                        st.write(f"https://play.google.com/store/apps/details?id={app['appId']}")
+                    # Add a download button for CSV
+                    csv = df.to_csv(index=False)
+                    st.download_button(
+                        label="Download results as CSV",
+                        data=csv,
+                        file_name=f"google_play_apps_{search_term}.csv",
+                        mime="text/csv",
+                    )
                 else:
                     st.warning("No results found.")
-            
+
             except Exception as e:
                 st.error(f"An error occurred: {e}")
         else: