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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
st.info("Searching for apps...")
try:
results = search(
search_term,
lang="en", # Language
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']}")
st.write(f"**Score:** {app['score']}")
st.write(f"**App ID:** {app['appId']}")
st.write(f"[Google Play Link](https://play.google.com/store/apps/details?id={app['appId']})")
st.image(app['icon'], width=64)
st.write("---")
# 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:
st.warning("Please enter a valid search term.")
if __name__ == "__main__":
main()
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