mzitu is a Python-based web crawling project designed to automatically download and organize image galleries from a specific photography site. It demonstrates how to build a scraper that navigates gallery pages, retrieves image links, and saves the images locally in a structured directory layout. It focuses on automating the collection of large sets of images by programmatically parsing page content and iterating through gallery entries. mzitu also includes a simple analysis script that processes downloaded folder names to generate statistics and visualizations. Using text segmentation and frequency analysis, the project can create a word cloud representing common keywords found in the dataset. This makes the repository both a scraping example and a small data analysis experiment built around the collected content. Overall, mzitu serves as a learning-oriented implementation of Python web scraping, data processing, and visualization techniques.
Features
- Automated crawler that downloads image galleries from a target site
- Parses web pages to extract image URLs and gallery information
- Organizes downloaded images into structured folders
- Includes scripts for analyzing downloaded dataset names and keywords
- Generates word frequency statistics and visualizations such as word clouds
- Demonstrates Python scraping and data processing workflow