Python Crawler Tutorial Starts From Zero

This project is a Python web scraping tutorial and framework designed for building automated data extraction tools and web crawlers. It provides a structured approach to navigating websites and persisting scraped data to databases.

The project includes a toolset for web API analysis, focusing on reverse engineering obfuscated API requests and inspecting network traffic to extract structured data. It also covers optical character recognition workflows to convert visual text within images into machine-readable strings.

The framework covers capabilities for headless browser automation to handle JavaScript and dynamic elements, as well as methods for automating browser interactions and developing scalable web crawlers.

Features

Web Crawlers - Provides a comprehensive framework for building automated web crawlers to extract data at scale.
Web Scraping Tutorials - Provides a comprehensive guide and project-based materials for automated data extraction from web sources using Python.
CSS and XPath Query Engines - Implements data extraction from webpages using CSS selectors and XPath query engines.
Automated Web Scraping - Automates the process of navigating websites and extracting data while managing sessions.

Features

Web Crawlers - Provides a comprehensive framework for building automated web crawlers to extract data at scale.
Web Scraping Tutorials - Provides a comprehensive guide and project-based materials for automated data extraction from web sources using Python.
CSS and XPath Query Engines - Implements data extraction from webpages using CSS selectors and XPath query engines.
Automated Web Scraping - Automates the process of navigating websites and extracting data while managing sessions.