IGBot: An Automated Instagram Bot for Open-source Developers

A brief introduction to the project:


In the world of social media networking, Instagram holds a significant place. As an open-source tool, the project 'IGBot' has been built by developer 'ohld' on GitHub, aiming to automate various Instagram actions such as liking posts, following users, and commenting. This bot, developed using Python and Selenium WebDriver, holds relevance for those looking to automate their Instagram activities, saving time and effort.

Project Overview:


'IGBot' aims to promote efficient use of Instagram by presenting an automated solution to tedious manual tasks. The goal is to enable smooth Instagram navigation including features like automatic liking, following, and generating comments for posts based on hashtags or geographical locations. It’s particularly beneficial for marketers, influencers, and businesses seeking to boost their Instagram presence and engagement without investing a massive amount of manual effort.

Project Features:


Key features of the 'IGBot' project include: automatic liking, following, and commenting on posts. These features are exceptionally beneficial as they allow users to engage with Instagram content dynamically, thereby improving the visibility and reach of their own content. For instance, users can configure the bot to like or comment on posts from particular geographical locations or hashed with specific tags. Additionally, the bot can be set to unfollow users who don’t follow back, helping maintain and improve the follower-following ratio.

Technology Stack:


The project employs Python as the primary programming language, with Selenium WebDriver used for automation. Python's simplicity and Selenium WebDriver's ease of handling browser-based automation tasks make this combination a powerful tool for the bot. Apart from this, the bot relies on privileges provided by Instagram API regarding accessing and manipulating user data.

Project Structure and Architecture:


The 'IGBot' follows a modular architecture, further divided into various Python scripts detailing different functionalities, such as liking posts, following users, and more. The core bot functionality is handled by the 'bot.py' module, while custom configurations can be set in the 'settings.py' module. These modules interact seamlessly to ensure that the bot executes the user's desired measures effectively.


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