Enhanced Telegram Channel Scraper using TOR and a Flask Dashboard for results

This software is designed solely for educational and research purposes and should be used with ethical considerations in mind. Users are responsible for ensuring their activities comply with local laws and regulations. The authors of this software bear no responsibility for any misuse or potential damages arising from its use. It's imperative to adhere to the terms of service of any platforms interacted with through this tool.

TeleScrape is an advanced tool for extracting content from Telegram channels, emphasizing user privacy through Tor integration and providing real-time insights via a dynamic Flask dashboard. It eschews the need for Telegram's API by utilizing Selenium for web scraping, offering a robust solution for data gathering from public Telegram channels.

• Enhanced Privacy: Routes all scraping through the Tor network to protect user anonymity.
• Keyword-Driven Scraping: Fetches channel content based on user-defined keywords, focusing on relevant data extraction.
• Interactive Web Dashboard: Utilizes Flask to present scraping results dynamically, with real-time updates and insights.
• Efficient Parallel Processing: Employs concurrent scraping to expedite data collection from multiple channels simultaneously.
• User-Friendly Customization: Designed for easy adaptability to specific requirements, supporting straightforward modifications and extensions.

• Python 3.x
• Flask
• BeautifulSoup4
• Selenium
• Requests

1. Python 3.x Installation: Verify Python 3.x is installed on your system.
2. Dependencies: Install the required Python packages using pip.

   pip install flask beautifulsoup4 selenium requests pysocks

3. Tor Configuration: Install Tor locally and ensure it's configured to run a SOCKS proxy on localhost:9050.
4. WebDriver Setup: Ensure the Chrome WebDriver is installed and properly configured in the script's path settings.

• TeleScrape.py: The main script, encapsulating the scraping logic, Flask application, and Tor setup.
• keywords.txt: Text file listing the keywords for content scraping.
• /templates: Folder containing HTML templates for the Flask-based dashboard.

1. Keyword Configuration: Populate keywords.txt with your desired keywords.
2. Script Execution: Launch TeleScrape.py to start scraping and activate the Flask dashboard.

   python TeleScrape.py

3. Dashboard Navigation: Access http://127.0.0.1:8081/ on your browser to view the scraping progress and results live.

• Real-Time Refresh: Automatically updates to display the latest scraping data.
• Keyword Visualization: Keywords and matches are highlighted within the content for better clarity.
• Adaptive Design: Ensures a consistent experience across various devices and resolutions.

Contributions are highly appreciated! If you have improvements or suggestions, please fork this repository, commit your changes, and submit a pull request for review.

This project is distributed under the MIT License, fostering widespread use and contribution by providing a lenient framework for software distribution and modification.