Combine web scraping with data clustering to collect, clean, and analyze web data.
Built with Scrapy, Pandas, and Scikit-learn.
This project demonstrates how to:
Scrape structured data from websites using Scrapy.
Clean and preprocess the scraped data with pandas.
Apply clustering algorithms
(K-Means, DBSCAN, Agglomerative).
Visualize results and export outputs to CSV/JSON.
Multi-spider Scrapy project structure.
Configurable item pipelines (cleaning / storage).
Clustering pipeline with selectable algorithms.
Export clusters and sample visualizations.
Example commands to run scraping and clustering.
Python 3.8+
Scrapy
pandas, numpy
scikit-learn
matplotlib / seaborn
joblib

