biedraScraper

biedraScraper is a simple Python script to scrap the newest prices from zakupy.biedronka.pl using Selenium and save them to XLSX file using Pandas.

Requirements

• Python 3.11+
• uv package manager

Core dependencies (managed by uv):

• numpy 2.2.2+
• openpyxl 3.1.5+
• pandas 2.2.3+
• selenium 4.28.1+

Installation

1. Clone the repository:

   git clone https://github.com/mcjmk/biedraScraper.git
   cd biedraScraper

2. Set up environment and install dependencies:

   uv venv
   source .venv/bin/activate  # On Windows: .venv\Scripts\activate
   uv sync

Usage

uv run src/biedrascraper/main.py

After running the script, the scraped prices will be saved in the biedra_{today}.xlsx. Enjoy! :)

Project Structure

The code is split into a few files in the src/biedrascraper directory:

• config.py - URL and category configurations
• fetch.py - scraping logic using Selenium
• save.py - saving data to different formats
• main.py - main script that puts it all together