Telegram Scraper 2.0: Blazing-Fast, Scalable OSINT Tool for Real-Time Channel Data Extraction

Is Telegram a Goldmine for Information?

Short Answer, Absolutely.

But what if you could mine it 10x faster, without crashing, throttling, or compromising security ?

Introducing Telegram Scraper 2.0, the most powerful, efficient, and developer-friendly Python tool yet for extracting messages and media from public Telegram channels .

Built on Telethon , this open-source scraper is a game-changer for OSINT professionals, researchers, journalists, and data analysts .

And yes, it’s blazing fast . But more importantly: it's secure, respectful of API limits, and privacy-conscious .

Built for Real-World Use: Key Features

Faster & Smarter Scraping

• 5–10x faster message scraping with batch database inserts
• 3x faster media downloads using parallel processing (up to 3 at once)
• 10–20x faster database performance thanks to connection pooling
• No memory crashes, exports stream data directly (great for 100K+ messages)

Better User Experience

• See exact message counts before scraping
• Clear progress tracking : percentages, message count, and time remaining
• Simple interactive menu, easy to use, no coding needed

Reliable & Resilient

• Resume from where it stopped, saves progress every 50 messages
• Auto-retry system: handles network issues and rate limits intelligently
• Flood control protection: respects Telegram’s limits, avoids bans

Developer-Friendly

• Clean object-oriented code: easy to extend or contribute to
• Configurable settings: adjust download speed, concurrency, and paths
• Optimized database with indexes: fast queries and storage

Export & Store

• Save data to JSON or CSV: ready for analysis
• Messages stored in SQLite, lightweight and reliable
• Re-download failed media with reprocessing support

Data Storage

Database Structure

Data is stored in SQLite databases, one per channel with optimized indexes:

• Location: ./channelname/channelname.db
• Table: messages
  • id: Primary key
  • message_id: Telegram message ID (indexed)
  • date: Message timestamp (indexed)
  • sender_id: Sender's Telegram ID
  • first_name: Sender's first name
  • last_name: Sender's last name
  • username: Sender's username
  • message: Message text
  • media_type: Type of media (if any)
  • media_path: Local path to downloaded media
  • reply_to: ID of replied message (if any)

Media Storage 📁

Media files are stored in:

• Location: ./channelname/media/
• Files are named using message ID or original filename
• Parallel downloads for faster media acquisition

License

This project is licensed under the MIT License.

Resources & Downloads

• GitHub: github.com/robertaitch/telegram-scraper

GitHub - robertaitch/telegram-scraper: A powerful Python script that allows you to scrape messages and media from Telegram channels using the Telethon library. Features include real-time continuous scraping, media downloading, and data export capabilities.

A powerful Python script that allows you to scrape messages and media from Telegram channels using the Telethon library. Features include real-time continuous scraping, media downloading, and data…

GitHubrobertaitch