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Tgspyder

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README

🕷️ TGSpyder

<p align="center"> <img src="media/media1.png" alt="TGSpyder Banner" width="100%"> </p>

TGSpyder is an Open-Source Telegram OSINT CLI Tool by Darksight Analytics.

Features

  • Scrape members list from both public and private groups to CSV
  • Scrape chat messages from both public and private groups to CSV
  • Extract t.me invite links from chat history (public and private groups)
  • Look up a Telegram user by username or (limited) numeric ID
  • Identify sticker pack creator ID (inferred via sticker set ID) Credits to: https://hackernoon.com/whats-wrong-with-stickers-in-telegram-deanonymize-anonymous-channels-in-two-clicks
  • Proxy support:
    • Save proxy (--set-proxy)
    • Remove proxy (--remove-proxy)
    • One-off proxy override (--proxy)

Requirements

  • Python 3.10+

Install

git clone https://github.com/Darksight-Analytics/tgspyder.git
cd tgspyder
pip install -r requirements.txt
pip install -e .

🕷️ Introduction

Telegram OSINT CLI Tool Built for investigators, analysts, journalists, and researchers.

TGSpyder is a command-line OSINT tool for structured collection and analysis of Telegram data. It enables scraping of members, messages, invite links, users, and metadata from public and private Telegram groups and channels — exporting everything into investigator-friendly CSV files.

Features

  • 📋 Scrape member lists (where Telegram allows)
  • 💬 Crawl chat messages
  • 🔗 Extract and de-duplicate Telegram invite links
  • 🧍 Lookup users by ID or username
  • 🎭 Identify sticker pack creators
  • 🌐 SOCKS proxy support (Tor / VPN)
  • 📁 Clean CSV output for OSINT workflows
  • 📦 Output Structure

All collected data is stored in a single runtime folder:

TGSpyder Output/
├── members/
│   └── members_<target>_<timestamp>.csv
├── chats/
│   └── messages_<target>_<timestamp>.csv
└── crawled_links/
    └── crawled_links_<target>_<timestamp>.csv

🚀 Quick Start

1️⃣ Clone the repository

git clone https://github.com/Darksight-Analytics/tgspyder.git
cd tgspyder

2️⃣ Create & activate a virtual environment

python3 -m venv venv
source venv/bin/activate

3️⃣ Install dependencies

pip install -r requirements.txt

4️⃣ Install TGSpyder as a CLI

pip install -e .

Verify installation:

tgspyder --help

🔑 Telegram API Credentials

  • Head over to https://my.telegram.org and log in with your Telegram account.
  • Navigate to API development tools to generate your API ID and API Hash, which are required to authenticate TGSpyder with Telegram.

🧭 Basic Usage

Scrape members and chats

tgspyder https://t.me/examplegroup --members --chats

Extract invite links only

tgspyder https://t.me/examplegroup --crawl-invites

User lookup

tgspyder --user 123456789
tgspyder --user @username

Sticker pack creator lookup

tgspyder --sticker-pack https://t.me/addstickers/packname

🌐 Proxy Support

TGSpyder supports SOCKS proxies (Tor / VPN-friendly).

One-off proxy

tgspyder --proxy socks5://127.0.0.1:9050 <target> --chats

Save proxy for future runs

tgspyder --set-proxy socks5://127.0.0.1:9050

Remove saved proxy

tgspyder --remove-proxy

🔐 Authentication & Config

On first run, TGSpyder will prompt for:

  • Telegram API ID
  • Telegram API Hash
  • User account or bot token

Credentials are stored locally in: ~/.tgspyder.conf

Session files are reused automatically.

⚠️ Limitations

  • Some groups do not expose member lists
  • Private groups require valid invite links
  • Sticker creator attribution is not always guaranteed
  • Subject to Telegram API limits

🧪 Ethical Use & OSINT Disclaimer

TGSpyder is intended for:

  • OSINT investigations
  • Academic research
  • Journalism
  • Threat & network analysis

Users are responsible for compliance with:

  • Local laws
  • Platform terms of service
  • Ethical research standards

📄 License

MIT License See LICENSE for details.

🚀 Demo

<p align="center"> <img src="media/tgspyder.gif" alt="TGSpyder Demo" style="max-width:800px;width:100%;height:auto;"> </p>

👤 Author

  • Valdemar Balle
  • Founder of Darksight Analytics

⚖️ Disclaimer

TGSpyder is provided for open-source intelligence (OSINT), research, investigative, and educational purposes only.

Users are solely responsible for ensuring that their use of this tool complies with:

  • Applicable laws and regulations
  • Platform terms of service
  • Ethical research and investigative standards

The author and contributors assume no liability for misuse of this tool or for any consequences arising from its use.

View on GitHub
GitHub Stars292
CategoryMarketing
Updated1d ago
Forks35

Languages

Python

Security Score

95/100

Audited on Mar 30, 2026

No findings