Create app.py

app.py

@@ -0,0 +1,49 @@
+import streamlit as st
+import requests
+from bs4 import BeautifulSoup
+import pandas as pd
+
+def scrape_data(url):
+    try:
+        # Perform the HTTP request to get the HTML content
+        response = requests.get(url)
+        response.raise_for_status()
+
+        # Parse the HTML content using BeautifulSoup
+        soup = BeautifulSoup(response.content, 'html.parser')
+
+        # Extract the title and price
+        title = soup.find("span", id="packagename").text.strip()
+        price = soup.find("span", id="price1", class_="price product-priceshow").text.strip()
+
+        # Create a DataFrame
+        data = {
+            "Title": [title],
+            "Price": [price]
+        }
+        df = pd.DataFrame(data)
+
+        return df
+
+    except Exception as ex:
+        st.error(f"An error occurred: {str(ex)}")
+        return None
+
+def main():
+    st.title("Web Scraping with Streamlit")
+
+    # URL input
+    url = st.text_input("Enter URL")
+
+    # Scrape button
+    if st.button("Scrape Data"):
+        if url:
+            df = scrape_data(url)
+            if df is not None:
+                st.subheader("Scraping Results")
+                st.dataframe(df)
+        else:
+            st.warning("Please enter a URL")
+
+if __name__ == "__main__":
+    main()