Instagram profile scraper

Instaloader is a Python library and command-line utility designed for the automated retrieval, archiving, and analysis of Instagram content. It provides a programmatic interface to fetch media, captions, and metadata from public or private profiles, hashtags, and stories, while maintaining persistent user sessions for authorized access. The tool distinguishes itself through robust archive management and traffic control mechanisms. It supports incremental synchronization, allowing users to resume interrupted downloads and update local collections without redundant requests. To ensure reliable

Osintgram is a command-line utility designed for open-source intelligence gathering and the extraction of public data from social media profiles. It functions as a framework for collecting and processing user information to assist in digital investigations and the mapping of digital footprints. The tool distinguishes itself through a modular architecture that organizes intelligence-gathering tasks into independent scripts, all sharing a unified session state and data processing pipeline. It utilizes headless browser automation and session-based interactions to mimic legitimate user behavior,

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

This Python library is a private API wrapper that provides programmatic access to Instagram features by communicating with internal mobile endpoints. It functions as a social media automation toolkit for managing profiles, publishing media, and interacting with the social graph. The library uses a reverse-engineered API to mimic the communication patterns and request headers of mobile applications. It incorporates a session manager that persists authentication cookies and client metadata to maintain active logins and reduce the frequency of authentication handshakes. Its capabilities cover m

This project is a web scraping and automation tool designed to collect public data from Instagram and perform automated social media interactions. It functions by gathering profile details, captions, media files, and engagement metrics directly from web pages, bypassing the need for official developer interfaces or platform-specific credentials. The tool distinguishes itself by combining data extraction with automated engagement capabilities. It allows users to programmatically interact with content by liking posts that match specific search criteria or hashtags, aiming to increase account vi

This project is a RESTful media extraction service that provides a programmatic interface for downloading video and image content from social media platforms. It functions as a scraper that parses shared URLs and user profile identifiers to isolate direct media streams and associated metadata from platform-specific data structures. The service distinguishes itself through its ability to emulate cryptographic signatures and security tokens required to authenticate requests against protected backend services. By simulating headless browser behavior and managing cookies and headers, the system b

Twint is an open-source intelligence and data extraction framework designed to gather public social media information. It functions as a command-line utility that retrieves posts, user profiles, and follower lists directly from web interfaces, bypassing the need for official platform developer credentials or authentication keys. The tool distinguishes itself by enabling automated, large-scale data collection through terminal-based orchestration. It supports granular filtering by keywords, geographic locations, time ranges, and account status, allowing researchers to build targeted datasets fo

Social-analyzer is an open-source intelligence framework designed for the automated discovery, correlation, and verification of digital identities across online platforms. It functions as a comprehensive engine for gathering social media intelligence, utilizing distributed browser automation to extract metadata and profile information from hundreds of websites simultaneously. The platform distinguishes itself through its ability to perform cross-platform identity correlation using heuristic-based pattern matching and name permutation generation. It processes these findings through a confidenc

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 ma

Go Spider is a modular framework designed for building concurrent web scrapers and data extraction workflows. It provides a structured engine for orchestrating automated crawling tasks, managing request scheduling, and processing web content through a unified pipeline. The framework distinguishes itself through a highly configurable architecture that allows developers to inject custom logic for downloaders, schedulers, and storage components via interface-driven contracts. It manages network interactions using middleware-based request throttling and URL deduplication, ensuring that crawling o