PyBrowserAutomation (PyBA) is a powerful Python-based framework designed for seamless web automation, particularly tailored for Open Source Intelligence (OSINT) tasks. This no-code, LLM-powered tool empowers users to automate intricate browser interactions through intuitive natural language prompts. Whether visiting websites, navigating user interfaces, filling out forms, or conducting investigative research, PyBA simplifies these processes without the need for extensive coding knowledge.

Core Functionalities

PyBrowserAutomation provides three distinct execution modes to optimize reasoning based on the task requirements:

• Normal Mode: Executes deterministic navigation with specific instructions.
  Example:

  Open Instagram, go to my DMs, and tell XYZ I'll be late for the party.  
  

• BFS Mode: Utilizes breadth-first reasoning capable of managing tasks with multiple potential success paths.
  Example:

  Map all possible online identities associated with the username 'vect0rshade'.  
  

• DFS Mode: Enables deep, recursive exploration ideal for research-based inquiries.
  Example:

  Analyze this user’s GitHub activity and infer their technical background.  
  

Key Features

• Trace Zip Generation: Automatically generates Playwright trace files for complete reproducibility in trace view.

• Comprehensive Logging & Dependency Management: Logs every action, with the option to store data in local or server databases.

• Automated Script Generation: Converts successful automation runs into standalone Python Playwright scripts for future use.

• Database Integration: Supports both local and remote databases to preserve all actions, observations, and browser states for auditing purposes.

• Stealth Mode & Anti-fingerprinting Options: Equipped with features to navigate without detection by common bot-detection systems.

• Quick Login Mechanism: Facilitates fast social-media authentications using secure environment-variable credentials.

• Thread Safety: Designed to handle multiple concurrent workflows smoothly.

Project Philosophy

The inception of PyBrowserAutomation was driven by the goal of creating a fully automated intelligence and OSINT platform that could replicate human browser interactions efficiently and reliably. Key objectives encompass:

• Directly integrating large language model (LLM) cognition with browser operations.
• Navigating intricate websites with human-like reasoning.
• Surpassing bot-detection obstacles.
• Ensuring standardized logging and replayability of tasks.
• Allowing scalability from simple automations to comprehensive investigative workflows.

For a deeper understanding of features and implementation, explore the automation_eval/ directory and the full documentation available at PyBA Documentation.

In short, PyBrowserAutomation stands out as a versatile solution for those in need of advanced web automation, enabling users to accomplish more with less effort.