Spaces:
Sleeping
Sleeping
Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import streamlit as st
|
2 |
+
import requests
|
3 |
+
from bs4 import BeautifulSoup
|
4 |
+
import pandas as pd
|
5 |
+
|
6 |
+
# Function to fetch and parse the HTML content
|
7 |
+
def fetch_product_info(url):
|
8 |
+
response = requests.get(url)
|
9 |
+
response.encoding = 'utf-8' # Ensure correct encoding
|
10 |
+
soup = BeautifulSoup(response.text, 'html.parser')
|
11 |
+
title = soup.find('span', id='packagename').text
|
12 |
+
price = soup.find('span', id='price1', class_='price product-priceshow').text
|
13 |
+
return title, price
|
14 |
+
|
15 |
+
# Streamlit app
|
16 |
+
def main():
|
17 |
+
st.title("Product Information Scraper")
|
18 |
+
|
19 |
+
url = 'https://eshop.ttl.com.tw/b2b_cpinfo.aspx?id=11530&catid=24'
|
20 |
+
st.write(f"Fetching data from: {url}")
|
21 |
+
|
22 |
+
try:
|
23 |
+
title, price = fetch_product_info(url)
|
24 |
+
data = {'Title': [title], 'Price': [price]}
|
25 |
+
df = pd.DataFrame(data)
|
26 |
+
st.write("Product Information:")
|
27 |
+
st.dataframe(df)
|
28 |
+
except Exception as e:
|
29 |
+
st.error(f"Error fetching data: {e}")
|
30 |
+
|
31 |
+
if __name__ == "__main__":
|
32 |
+
main()
|