Discord Webpage Monitor Bot

This has a fatal flaw, the Cloudflare DDOS protection doesn't allow the script through to examine the page :(

The code and README for this project were 100% written by ChatGPT

This is a Discord bot that checks the status of the ChatGPT website. If the site is down it will send a message to a specific channel. If the site comes back up, it will send another message to the channel.

How to use

1. Clone the repository to your local machine.

   git clone https://github.com/YOUR-USERNAME/Discord-Webpage-Monitor-Bot.git

2. Create a new Discord bot and invite it to your server. This guide provides step-by-step instructions on how to do this.

3. Create a new file named .env in the root directory of the cloned repository. This file should contain one line that specifies the Discord bot token, like so:

   DISCORD_TOKEN=YourToken

Make sure to replace YourToken with your actual bot token.

4. Install the required dependencies by running

   pip install -r requirements.txt

5. Modify the script by replacing the channel_id variable with the ID of the channel in your server where you want to send messages.

6. Run the script by executing the following command in the terminal

   python bot.py

Features

• The bot will check the webpage every 30 seconds and send a message to the specified channel if the specified string is found or not found.
• Error handling, if any error occurs in the process of requesting the webpage, it will send a message to the specified channel with the error.
• Uses the dotenv library to load the Discord bot token from a .env file, allowing you to keep your token secure and not hardcoded in the script.

Please note that the extension and the example server are provided as-is and are intended for educational and informational purposes only. The author is not affiliated with OpenAI and claims no responsibility for any damages that may occur as a result of using the software. The software is provided under the MIT License.

Contributions

Feel free to fork this repository, improve the code and submit a pull request.

Please note that this is a simple example, it can be improved for a production setting. I recommend testing this script in a development environment before using it in production.