MediaCrawler is an automated web scraping framework designed to extract public posts, comments, and creator metadata from various social media platforms. It functions as a headless browser automator, utilizing real browser instances to render dynamic content and execute the client-side scripts necessary for interacting with modern web interfaces.
The system distinguishes itself through a focus on session persistence and network flexibility. It supports remote debugging to reuse active browser sessions and cookies, which helps minimize the risk of triggering platform security challenges. To maintain stable data collection at scale, the tool integrates proxy-based request routing, allowing users to distribute traffic across external IP services to bypass rate limits and geographic restrictions.
The architecture is built for extensibility and modularity, employing a provider pattern that allows developers to integrate new platforms or custom storage backends through standardized interfaces. Users can manage complex scraping workflows via command-line configuration, enabling the definition of specific targets and storage formats—such as JSON, CSV, or various database systems—without modifying the core logic. The project also includes utilities for data visualization, such as generating word clouds from collected comments.
Installation requires setting up the necessary runtime environments, including a JavaScript engine for handling complex client-side rendering and the appropriate browser automation drivers.
