Amazon Web Data Scraper is a Python script for extracting product details like title and price from Amazon's website, facilitating data collection and analysis.
This Python script extracts product details such as title and price from Amazon's website. It serves as a tool for data collection and analysis, providing valuable insights into product trends and pricing dynamics.
- Web Scraping: Utilises BeautifulSoup library to parse HTML and extract relevant information from Amazon product pages.
- Data Collection: Gathers product titles and prices for further analysis and tracking.
- CSV Export: Saves extracted data to a CSV file for easy access and manipulation.
- Price Tracking: Includes functionality to periodically check and update product prices.
- Email Notifications: Optional feature for receiving email alerts when product prices drop below a certain threshold.
- Python Programming: Proficient in Python for web scraping, data manipulation, and automation tasks.
- Web Scraping: Experience with BeautifulSoup library for extracting data from HTML pages.
- Data Analysis: Ability to collect and analyse data for insights and decision-making.
- CSV Handling: Familiarity with CSV file manipulation for data storage and retrieval.
- Automation: Implemented automated processes for periodic data collection and price tracking.
- Problem-Solving: Developed solutions to handle various challenges encountered during web scraping tasks.
- Communication: Clearly documented code and project overview for easy understanding by collaborators and potential employers.