I developed a Python-based web scraping tool that retrieves product prices from Google Shopping using the ScaleSERP API. This tool allows users to fetch real-time pricing information for any product and analyze the minimum, maximum, and average prices.
Key Features:
• Automated Data Retrieval: Uses the ScaleSERP API to fetch pricing details from Google Shopping for a specified product.
• Customizable Search: Supports product searches with adjustable parameters like country and location.
• Price Analysis: Extracts and processes price data, providing insights into pricing trends (minimum, maximum, and mean price).
• JSON Configuration: API key management is handled securely via a configuration file.
Technologies Used:
• Python
• Requests (for API calls)
• JSON (for configuration management)
• Statistics (for price analysis)
This project is ideal for e-commerce businesses, market analysts, and shoppers looking to compare product prices across multiple vendors.
I built a Python tool using ScaleSERP API to fetch Google Shopping prices, analyze min/max/avg prices, and support customizable searches for market insights.