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This project is a collection of Python scripts and tools designed for web scraping, browser automation, and large-scale data extraction. It provides a set of implementations for retrieving information from websites and private APIs, including tools for multimedia downloading and social media data archiving. The toolset includes specialized mechanisms for bypassing anti-scraping measures through IP proxy pool rotation and multi-threaded crawlers. It also features capabilities for simulating browser sessions to handle authentication, intercepting session cookies, and decrypting network payloads

InfoSpider is a personal data aggregator and digital footprint analyzer. It extracts user activity and history from social platforms and local browser database files to consolidate information into a unified format. The system functions as a social media archiving tool that converts feed data and albums from external links into downloadable PDF documents for offline preservation. It also serves as a browser history extractor that reads local SQLite database files to retrieve and analyze web navigation history. The project covers capabilities for data aggregation, digital footprint analysis,

The Wikipedia iOS app is a native client for reading, editing, and contributing to Wikipedia articles on iPhone and iPad. It provides a bridge-based rendering system that serializes view updates over JSON to native iOS components for fast scrolling, along with a native wikitext editor featuring real-time syntax highlighting and formatting tools for editing article content. The app includes a feature flag system with compile-time and runtime flags for enabling experimental capabilities through a hidden settings panel, and a file-based localization system that loads language-specific resource fi