Why I Made It?
Instead of running Python scripts manually each time we needed product data, I built this app to save time, reduce complexity, and make scraping accessible to my non-technical friends.
Overview:
I built a powerful and easy-to-use desktop application using Python and Tkinter to automate product data scraping from AliExpress. This tool was created to help myself and my teammates—especially those without programming skills—quickly extract structured product information for data analysis, e-commerce research, and machine learning training.
Key Features
Intuitive GUI:
No coding required—users can enter a product name, choose what data to scrape, set the number of products, and export the data to Excel.Custom Data Selection:
Users can choose exactly what to scrape:- Price.
- Description.
- Sales Amount.
- Product Link.
- Rating.
- Shipping Details.
Fast Processing:
Scrapes hundreds of products in just a few minutes.Excel Export:
Automatically organizes scraped data into a clean Excel file.Contact Option:
A clickable link allows users to reach out for support or updates.
Use Cases:
- E-commerce product research and pricing strategy.
- Competitor analysis.
- Building labeled datasets for ML model training.
- Product catalog enrichment for online stores.
Technologies Used:
Frontend:
Tkinter (Python).Backend:
BeautifulSoup, Selenium, Requests, and Pandas.Output:
Excel files.