How to Build user-scanner from Source Code: Complete Installation Guide

Building user-scanner from source requires cloning the kaifcodec/user-scanner repository, installing dependencies via pip install -e ., and executing the CLI entry point defined in user_scanner/__main__.py.

The user-scanner project is a pure-Python OSINT suite for username and email enumeration. Because the repository follows standard Python packaging conventions with metadata defined in pyproject.toml and setup.cfg, compiling it from source is straightforward across Linux, macOS, and Windows.

Cloning the Repository

Fetch the complete source tree from GitHub to your local machine:

git clone https://github.com/kaifcodec/user-scanner.git
cd user-scanner

This downloads the user_scanner/ package directory, test suites, and documentation including docs/USAGE.md and docs/FLAGS.md.

Installing Dependencies

Before building, create an isolated Python environment and install runtime requirements. The project pins its dependencies in requirements.txt and specifies build system requirements in pyproject.toml:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

pip install -r requirements.txt

Building and Installing from Source

Install the package in editable mode so modifications to the source code reflect immediately without reinstallation. According to the build configuration in setup.cfg and pyproject.toml:

pip install -e .

This command registers the user_scanner package in your environment and creates the user-scanner executable. The installation process compiles no C extensions, as the tool is implemented entirely in Python.

Verifying the Build

Run the project’s test suite to confirm the source built correctly:

pytest -q

The test suite covers core utilities such as user_scanner/core/result.py, the workflow manager in core/orchestrator.py, and the self-update logic in utils/update.py. Successful execution validates that all dependencies are satisfied and the package structure is intact.

Running user-scanner from Source

After installation, invoke the tool via the generated CLI entry point. The execution flow begins in user_scanner/__main__.py, which initializes argument parsing and displays the banner defined in user_scanner/cli/banner.py:

# Scan by email address

user-scanner --email example@example.com

# Scan by username

user-scanner --username someuser

Using the Library Programmatically

Beyond the CLI, you can import the Engine class directly into your own scripts. The Engine class in user_scanner/core/engine.py drives the scan workflow:

from user_scanner.core.engine import Engine

engine = Engine()
result = engine.scan_username("alice")
print(result.json())

For cross-scanning (equivalent to the --cross-scan CLI flag), instantiate the engine and call the appropriate methods within the same session.

Understanding the Core Architecture

When building from source, familiarity with the key components helps when debugging or extending functionality:

• user_scanner/core/engine.py: Implements the Engine class that handles concurrency and drives the scan workflow.
• user_scanner/core/orchestrator.py: Provides the high-level API that combines username and email scans while respecting CLI flags.
• user_scanner/core/result.py: Defines the uniform result model with statuses available, taken, and error.
• user_scanner/core/helpers.py: Contains shared utilities for HTTP requests, impersonation, and confidence scoring.
• user_scanner/utils/updater_logic.py: Implements the self-update mechanism that fetches the latest release assets.
• user_scanner/cli/__init__.py: Handles argument parsing and CLI wiring before handing off to the orchestrator.

Individual scan modules reside under user_scanner/user_scan/ (for username checks) and user_scanner/email_scan/ (for email verification). Each module follows the validator signature documented in CONTRIBUTING.md.

Summary

• Clone the kaifcodec/user-scanner repository to obtain the full source tree, including pyproject.toml and requirements.txt.
• Install dependencies and build the package using pip install -e . to enable editable mode.
• Validate the installation by running pytest -q to ensure all components in user_scanner/core/ and user_scanner/utils/ function correctly.
• Execute the scanner via the user-scanner CLI command, which triggers user_scanner/__main__.py and renders the banner from cli/banner.py.
• Extend the tool by adding modules to user_scanner/user_scan/ or user_scanner/email_scan/ following the patterns in CONTRIBUTING.md.

Frequently Asked Questions

What Python version is required to build user-scanner?

The project requires Python 3.8 or higher as specified in the build metadata. Because it is a pure-Python implementation, no platform-specific compilers or build tools are necessary beyond the standard Python toolchain.

Can I run user-scanner without installing it?

Yes, you can execute the package directly using python -m user_scanner from the repository root, provided dependencies from requirements.txt are installed. However, installing via pip install -e . is recommended to properly register the user-scanner CLI entry point and ensure all import paths resolve correctly.

Where are the CLI arguments parsed in the source code?

Argument parsing and CLI initialization occur in user_scanner/cli/__init__.py. The entry point that wires these arguments to the execution engine is defined in user_scanner/__main__.py, which imports the Engine class from core/engine.py and displays the startup banner from cli/banner.py.

How do I contribute new scanning modules after building from source?

New validators should follow the signature documented in CONTRIBUTING.md and be placed in either user_scanner/user_scan/ (for username checks) or user_scanner/email_scan/ (for email checks). Modules must return result objects consistent with the model in user_scanner/core/result.py to integrate with the core/orchestrator.py workflow.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}