Phone Price Comparison

Project Overview

This project aims to compare the prices of major Sri Lankan mobile phone sellers. Prices are scraped from the respective websites and displayed in a table. Users can filter the results based on the phone model the seller , RAM and storage options. The project is built using Python and Streamlit.

Live Working Link

• Phone Price Comparison App

Features

• Price Comparison: Easily compare prices from different sellers.
• Filtering Options: Filter results based on phone model, seller, price range, storage, and RAM.
• Interactive Interface: User-friendly and interactive web application built with Streamlit.

Shops Included

1. Celltronic
2. DealzWoot
3. Doctor Mobile
4. Genius Mobile
5. Life Mobile
6. Present Solution
7. X Mobile
8. Emobile

Libraries Used

• Streamlit: For building the interactive web application.
• Pandas: For data manipulation and analysis.
• BeautifulSoup: For web scraping.
• Requests: For making HTTP requests.
• Numpy: For numerical operations.
• Openpyxl: For reading and writing Excel files.

New Skills Acquired

• Web Scraping: Extracting data from websites.
• Streamlit: Building interactive web applications.
• Data Handling using Pandas: Efficiently managing and analyzing data.

Project Structure

Phone_price_compare
├── data_src
│   ├── instock_data
│   │   ├── storenames.xlsx...
│   ├── multiple_combined
│   │   └── Combined_data.xlsx
│   ├── ram_rom_extracted
│   │   └── storenames.xlsx...
│   ├── html
│   │   ├── Html Files...
├── main
│   ├── combining_data
│   │   ├── combine_all.py
│   │   ├── combine_data.py
│   |   ├── combine_extra.py
│   ├── instock_checker
│   │   ├── storenames.py...
|   ├── web_to_html
|   │   ├── storenames.py...
│   ├── instock_to_ram_rom
│   │   ├── conversion.py
│   │   ├── genuis_conversion.py
│   └── All.py
└── app.py

Usage

• Clone the repository:

git clone https://github.com/yourusername/Phone_price_compare.git

• Navigate to the project directory:

cd Phone_price_compare

• Install the required libraries:

pip install -r requirements.txt

• Run the Streamlit app:

streamlit run app.py

Code Explanation

• Celltronic.py: Scripts for scraping prices from Celltronic.
• conversion.py: Handles conversion tasks for data processing.
• combine_all.py: Combines data from multiple sources into a single dataset.
• All.py: Main script to run all individual scrapers.
• app.py: The main application script for running the Streamlit web app.

Example Data

Here is an example of what the filtered data looks like:

Contributions

Contributions are welcome! Please open an issue or submit a pull request for any improvements.

Legal

• License: This software is licensed under MIT.

For any questions or suggestions, please contact:

• Name: Savindu Wickramasinghe
• Email: [email protected]
• Github: https://github.com/SavinduWickr