The flipp_flyer_parser Python script is a sophisticated web scraping tool, designed for extracting promotional flyer data from various retail websites. Authored by FriendlyUser, this script leverages Selenium, a powerful tool for browser automation, to navigate through web pages and extract relevant data. It focuses on three major Canadian retailers: Save-On-Foods, Walmart, and Superstore.
Key Components and Libraries
- Selenium WebDriver (
undetected_chromedriver): Used for controlling a Chrome browser. This driver is essential for navigating through the web pages and interacting with web elements. - Date Parsing (
dateutil.parser): Utilized for parsing date strings. - Regular Expressions (
re): Employed for text pattern matching and data extraction from descriptions. - Image Processing (
PIL): The Python Imaging Library (PIL) can be used for handling images, though its specific usage isn't clear from the provided script. - Argument Parsing (
argparse): Facilitates command-line argument parsing, allowing users to specify the store type.
Core Functionalities
WebDriver Setup
make_driver(): Creates a Chrome WebDriver instance with optional headless browsing.
