How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
igbot is an Instagram automation bot that handles routine social media interactions on Instagram, including following, unfollowing, liking, and commenting on posts and profiles. It also functions as a video metadata extractor, retrieving download URLs, view counts, and audio information from Instagram Reels and public short videos.
The main features of ohld/igbot are: Instagram, Growth Automators, Social Media Management, Headless Browser Automation, Instagram Engagement Clients, Reel Metadata Accessors, Scraping Clients, Automated Social Media Commenting.
Open-source alternatives to ohld/igbot include: dilame/instagram-private-api — This project is a TypeScript-based private API SDK and automation framework for Instagram. It serves as a server-side… joeyism/linkedin_scraper — This project is a LinkedIn data scraper and professional profile extractor designed to collect information from… huaying/instagram-crawler — This project is a web scraping and automation tool designed to collect public data from Instagram and perform… subzeroid/instagrapi. dreammis/social-auto-upload — This project is a social media automation tool designed to publish videos and images across multiple social networks… instapy/instapy — InstaPy is a Python-based automation library designed to manage social media engagement and audience growth. It…
This project is a TypeScript-based private API SDK and automation framework for Instagram. It serves as a server-side toolkit for NodeJS that interfaces with undocumented API endpoints to programmatically manage profiles and automate account operations. The library focuses on mimicking authentic user behavior by simulating mobile application network traffic patterns and headers. It uses stateful session management to maintain authentication tokens and employs a sequence-based coordination model to execute complex workflows, such as multi-step media uploads. The framework covers several high-
This project is a LinkedIn data scraper and professional profile extractor designed to collect information from professional networking sites. It functions as a headless browser scraper that extracts professional profiles, company details, and job listings using automated browser sessions. The tool includes a session manager that saves and loads authentication cookies to maintain persistent access to protected profiles. It employs configurable browser settings and user-agent mimicry to simulate human activity and bypass bot detection. Data extraction capabilities cover person profiles, compa
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
