Save restricted content Bot

A stable telegram bot to get restricted messages with custom thumbnail support , made by Mahesh Chauhan.

• works for both public and private channels
• Custom thumbnail support for Pvt medias
• supports text and webpage media messages
• Faster speed
• Forcesubscribe available
• /batch - (For owner only) Use this command to save upto 100 files from a pvt or public restricted channel at once.
• Time delay is added to avoid FloodWait and keep user account safe.

Variables

• API_ID
• API_HASH
• SESSION
• BOT_TOKEN
• AUTH - Owner user id
• FORCESUB - Public channel username without '@'. Don't forget to add bot in channel as administrator.

Get API & PYROGRAM string session from:

API: API scrapper Bot or Telegram.org

PYROGRAM SESSION: SessionGen Bot or

BOT TOKEN: @Botfather on telegram

Deploy

Deploy on VPS

Easy Method:

For Linux

• Intall docker-compose
• Fill in the variables in docker-compose.yml file using your favorite text editor or nano
• Start the container

sudo apt install docker-compose -y
nano docker-compose.yml
sudo docker-compose up --build

For Windows

Replace

RUN pip3 install --no-cache-dir -r requirements.txt

with

RUN dos2unix bash.sh && pip3 install --no-cache-dir -r requirements.txt in Dockerfile

Then run this command in terminal

docker-compose up --build -d

The hard Way:

• Fill vars in your fork in this file as shown in this picture
• enter all the below commands

sudo apt update
sudo apt install ffmpeg git python3-pip
git clone your_repo_link
cd saverestrictedcontentbot 
pip3 install -r requirements.txt
python3 -m main

• if you want bot to be running in background then enter screen -S srcb before python3 -m main
• after python3 -m main, click ctrl+A, ctrl+D
• if you want to stop bot, then enter screen -r srcb and click ctrl+A then press K and enter Y.

Deploy your bot on Render

Tutorial - Click here

Deploy your bot on heroku

» Method - 1:

• Star the repo, and fork it in desktop mode
• Go to settings of your forked repo
• Rename your repo by any other name
• Click on

» Method - 2:

• Star the repo, and fork it in desktop mode
• create app in heroku
• go to settings of app›› config vars›› add all variables
• add buildpacks
• connect to github and deploy
• turn on dynos

Buildpacks for manual deploy:

• heroku/python
• https://github.com/jonathanong/heroku-buildpack-ffmpeg-latest.git

Deploy your bot on Okteto [Useless]

Tutorial for okteto - click here