Este proyecto es un scraper web no autenticado diseñado para extraer datos públicos de la API frontend de Twitter. Funciona como un extractor de datos de redes sociales que simula solicitudes de navegador para recopilar información sin necesidad de claves de API oficiales o autenticación de cuenta de usuario.
Las características principales de bisguzar/twitter-scraper son: Social Media Profile Extractors, Browser Mimicking Requests, Social Media Post Retrievers, Targeted Content Scraping, Social Media Data Scraping, Account Profile Retrievers, Public Profile Mapping, Cursor-Based Pagination.
Las alternativas de código abierto para bisguzar/twitter-scraper incluyen: dataabc/weibo-crawler — This project is a Sina Weibo web scraper and social media data pipeline designed to extract user profiles, posts,… justanotherarchivist/snscrape — snscrape is a Python-based social media web scraper and crawler designed to extract public posts, profiles, and… ericciarla/trendfinder — TrendFinder is an AI-powered trend monitoring tool and sentiment analysis platform. It functions as a social media… d60/twikit — Twikit is a Python library and API wrapper designed for interacting with X (Twitter). It simulates browser requests… drawrowfly/tiktok-scraper — This project is a specialized TikTok API scraper and data extractor. It functions as a proxy-based web scraper… subzeroid/instagrapi.
This project is a Sina Weibo web scraper and social media data pipeline designed to extract user profiles, posts, comments, and multimedia assets. It functions as a containerized data crawler that automates the collection and local storage of social media content and engagement metrics. The system includes a processing layer that uses large language models to analyze scraped text, generating summaries and sentiment analysis. It differentiates itself through a deployment-ready container model featuring an HTTP interface for managing extraction tasks and monitoring job progress. The crawler co
snscrape is a Python-based social media web scraper and crawler designed to extract public posts, profiles, and hashtags from social networks without the use of official APIs. It functions as an archival tool and a utility for open-source intelligence data collection, allowing for the gathering of publicly available information to investigate trends and people. The tool facilitates social media data extraction for research and archival purposes, enabling the creation of historical records of conversations and user activity. It supports workflows for academic social analysis and the export of
Twikit is a Python library and API wrapper designed for interacting with X (Twitter). It simulates browser requests and mimics private network traffic to enable programmatic access to the platform without requiring an official API key. The project focuses on social media automation and data extraction, featuring tools for scraping user profiles, trending topics, and chronological tweet histories. It includes a session manager that handles user authentication, two-factor authentication, and cookie persistence to maintain active account access. The library's capabilities cover a broad range of
This project is a specialized TikTok API scraper and data extractor. It functions as a proxy-based web scraper designed to collect user metadata, video posts, and trend feeds, while providing a webhook data pipeline to route scraped information to external URLs via HTTP requests. The tool includes a watermark-free video downloader that saves high-definition content to local storage. It employs cryptographic request signing for server authentication and utilizes session cookie authentication combined with proxy rotation to manage network traffic and avoid rate limits. Capabilities cover bulk