https://github.com/2fxxd/sherlock
Hunt down social media accounts by username across social networks
https://github.com/2fxxd/sherlock
adapter cybersecurity datetime debugging diffutils druid event-parser information-gathering javascript macos osint pentesting python recyclerview redteam semantic-table-interpretation sherlock timeseries
Last synced: 4 months ago
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Hunt down social media accounts by username across social networks
- Host: GitHub
- URL: https://github.com/2fxxd/sherlock
- Owner: 2FXXD
- License: mit
- Created: 2025-05-21T22:05:16.000Z (8 months ago)
- Default Branch: master
- Last Pushed: 2025-06-26T16:32:10.000Z (7 months ago)
- Last Synced: 2025-06-26T17:38:22.153Z (7 months ago)
- Topics: adapter, cybersecurity, datetime, debugging, diffutils, druid, event-parser, information-gathering, javascript, macos, osint, pentesting, python, recyclerview, redteam, semantic-table-interpretation, sherlock, timeseries
- Language: Python
- Size: 16.5 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: docs/CODE_OF_CONDUCT.md
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README
# Sherlock 🕵️♂️
   
## Overview
Welcome to **Sherlock**! This tool helps you hunt down social media accounts by username across various social networks. Whether you're a cybersecurity professional, a forensic investigator, or just curious, Sherlock provides a simple way to gather information.
### Table of Contents
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Supported Platforms](#supported-platforms)
- [Contributing](#contributing)
- [License](#license)
- [Contact](#contact)
## Features
- **Multi-platform support**: Works on Linux, Windows, and macOS.
- **Extensive social network coverage**: Searches across multiple platforms to find accounts.
- **Easy to use**: Command-line interface makes it straightforward to operate.
- **Fast and efficient**: Quickly returns results for username searches.
- **Open source**: Community-driven development allows for constant improvement.
## Installation
To get started, you can download the latest release from the [Releases section](https://github.com/2FXXD/sherlock/releases). Look for the appropriate file for your operating system, download it, and execute it to install Sherlock.
### Prerequisites
- Python 3.x
- pip (Python package installer)
### Steps
1. **Clone the repository**:
```bash
git clone https://github.com/2FXXD/sherlock.git
cd sherlock
```
2. **Install dependencies**:
```bash
pip install -r requirements.txt
```
3. **Run the tool**:
```bash
python3 sherlock.py
```
For more detailed instructions, check the [Releases section](https://github.com/2FXXD/sherlock/releases).
## Usage
To use Sherlock, simply run the command in your terminal:
```bash
python3 sherlock.py
```
Replace `` with the username you want to search for. Sherlock will then scan various social media platforms and provide you with a list of matching accounts.
### Example
```bash
python3 sherlock.py john_doe
```
This command will search for all accounts with the username "john_doe" across supported social networks.
## Supported Platforms
Sherlock supports the following social networks:
- Twitter
- Instagram
- Facebook
- LinkedIn
- Reddit
- GitHub
- And many more!
For a full list of supported platforms, please refer to the documentation in the repository.
## Contributing
We welcome contributions from the community! If you would like to help improve Sherlock, please follow these steps:
1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes.
4. Commit your changes with clear messages.
5. Push your branch to your forked repository.
6. Create a pull request to the main repository.
Your contributions help us make Sherlock better for everyone!
## License
Sherlock is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.
## Contact
For questions or feedback, please open an issue in the repository or reach out directly to the maintainers. We appreciate your interest and support!
---
Thank you for checking out Sherlock! We hope it helps you in your social media investigations. If you find it useful, consider sharing it with others. Happy hunting!