Album Data Scraper
Automated scraping pipeline for music data using Selenium, Prefect, and DuckDB.
Project Overview
An automated data collection pipeline designed to aggregate album records and user reviews from multiple web sources, facilitating music trend analysis.
Key Features
- Robust Scraping: Developed a pipeline using Selenium and BeautifulSoup to collect thousands of album records. Implemented retry logic, modular extractors, and failure handling to increase scrape success rate and stability.
- Orchestration: Orchestrated scraping, parsing, and persistence tasks with Prefect, ensuring reliable execution and observability.
- High-Performance Storage: Stored results in DuckDB, enabling fast analytical queries on the collected structured data.
- CLI Interface: Exposed the pipeline via a Command Line Interface (CLI) using Click to enable repeatable runs and parameterized data collection.
This tool transforms unstructured web data into a structured dataset ready for analysis.