Alfred1984/interesting-python
Interesting Python
Este proyecto es una colección de implementaciones en Python para web scraping, interceptación de tráfico de red, análisis de datos y análisis de sentimiento. Proporciona métodos para extraer datos estructurados de sitios web e interfaces de aplicaciones móviles.
La colección incluye herramientas para capturar y analizar paquetes de red de aplicaciones móviles para identificar puntos finales de API internos ocultos. También cuenta con scripts para evaluar el tono emocional y la percepción pública de los datos de texto.
El proyecto cubre la manipulación y transformación de datos de grandes conjuntos de datos, así como la generación de gráficos para identificar tendencias y patrones demográficos.
Features
- Web Data Scraping - Extracts large volumes of structured information from websites and social feeds using automated Python scripts.
- Lexicon-Based Sentiment Analyzers - Determines emotional tone by matching text tokens against predefined dictionaries of positive and negative words.
- Social Media Sentiment Analysis - Determines emotional tone and public perception from short-form social media posts and comments.
- CSS Selector - Extracts user-defined fields from HTML pages by evaluating CSS selectors against the DOM.
- Python Data Analysis - Uses Python and its ecosystem to process and analyze structured datasets for pattern and trend discovery.
- API Interception - Captures network packets from mobile apps to discover hidden internal data interfaces and API endpoints.
- Web Scraping - Extracts structured content from web pages by parsing HTML and targeting specific element selectors.
- Intercepting Proxies - Captures and inspects network traffic between mobile devices and servers to discover hidden API endpoints.
- Browser-Mimicking Request Simulators - Implements tools that mimic browser headers and cookies to programmatically fetch data from protected web interfaces.
- Network Traffic Analyzers - Captures and inspects network packets from mobile applications to discover undocumented internal APIs.
- Bot Detection Bypass - Emulates human-like browser behavior through custom headers and cookie management to bypass bot detection.
- HTTP Interceptors - Captures and analyzes HTTP network traffic from mobile applications to identify internal API endpoints.
- API Endpoint Discovery - Identifies undocumented internal API endpoints by capturing and analyzing network packets from mobile clients.
- Mobile Traffic Analysis - Analyzes network data flowing between mobile applications and servers to identify internal data interfaces.
- Dataset Statistics Analyzers - Calculates descriptive statistics and metrics to uncover hidden patterns and insights in collected data.
- Sentiment Analysis Tools - Provides implementations for classifying the emotional tone of text data as positive, negative, or neutral.
- Data Frame Transformations - Uses data frames to clean, filter, and reshape raw scraped information into structured formats.
- Tabular Data Manipulations - Processes large datasets using tabular structures for cleaning, filtering, and transforming raw scraped information.
- Matplotlib - Generates static plots and charts using Matplotlib to identify visual patterns and demographic shifts.
- Data Trend Visualizations - Provides graphical representations of processed numerical datasets to reveal demographic trends and patterns.
