Create app.py

app.py

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+# install dulu:
+# pip install google-play-scraper pandas gradio
+
+from google_play_scraper import reviews_all
+import pandas as pd
+import gradio as gr
+import tempfile
+import os
+
+def scrape_reviews(app_id, language, country):
+    try:
+        # Ambil semua ulasan
+        reviews = reviews_all(
+            app_id,
+            sleep_milliseconds=0,
+            lang=language,
+            country=country
+        )
+        if not reviews:
+            return None, "Tidak ada ulasan ditemukan."
+
+        # Konversi ke DataFrame
+        df = pd.DataFrame(reviews)
+        df_filtered = df[['userName', 'score', 'at', 'content']]
+        df_filtered.columns = ['Nama Pengguna', 'Rating', 'Tanggal', 'Ulasan']
+
+        # Simpan sementara ke CSV
+        temp_dir = tempfile.mkdtemp()
+        file_path = os.path.join(temp_dir, f"ulasan_{app_id}.csv")
+        df_filtered.to_csv(file_path, index=False, encoding='utf-8-sig')
+
+        return file_path, f"Berhasil mengambil {len(df_filtered)} ulasan."
+    except Exception as e:
+        return None, f"Error: {str(e)}"
+
+# Buat UI Gradio
+with gr.Blocks() as demo:
+    gr.Markdown("# 📱 Scraper Ulasan Google Play Store")
+    gr.Markdown("Masukkan **App ID** Google Play, pilih bahasa dan negara, lalu unduh CSV ulasan.")
+
+    with gr.Row():
+        app_id_input = gr.Textbox(label="App ID", value="com.ruangguru.livestudents")
+        lang_input = gr.Textbox(label="Bahasa", value="id")
+        country_input = gr.Textbox(label="Negara", value="id")
+
+    scrape_button = gr.Button("Mulai Scraping")
+    output_file = gr.File(label="Download CSV", type="filepath")
+    status_output = gr.Textbox(label="Status", interactive=False)
+
+    scrape_button.click(
+        scrape_reviews,
+        inputs=[app_id_input, lang_input, country_input],
+        outputs=[output_file, status_output]
+    )
+
+demo.launch()