Tired of missing updates from your favorite TikTok creators but hesitant to install the app. This tool is designed to keep you in the loop by detecting changes in TikTok profiles and profile pictures.
For instance, by running this application for a user like https://www.tiktok.com/@deborah.look.no.hands, you'll receive alerts whenever her profile or profile image changes.
There are two versions of this application available:
- Windows Version: You can download the code and run it on a Windows machine. Please note that the Apprise integration is not supported on Windows.
- Linux Version: If you prefer Linux, fear not! A Docker image has been prepared for your convenience.
- Image: https://hub.docker.com/r/xavierh/tiktok_detection
- Command: docker pull xavierh/tiktok_detection:latest
- Supported OS/ARCH: Linux/amd64
For the latest updates and to contribute, check out https://github.com/xavier-hernandez/tiktok_detection
This project utilizes the following technologies:
- Visual Studio 2022
- Emgu.CV
- Microsoft.ML
- PuppeteerSharp
To configure the tool, follow these steps:
- Create a file named
settings.json
under your assets folder. - Populate the JSON file with the following sections:
{
"apprise": [
"mailto://sandbox.smtp.mailtrap.io:2525?user=test&pass=test"
],
"tiktok": [
"https://www.tiktok.com/@deborah.look.no.hands"
],
"timeout": 5,
"similarityTrigger": 90
}
- Apprise: Specify notification configurations for each TikTok URL. Refer to Apprise for available services.
- TikTok: Add the URLs of the TikTok profiles you want to monitor.
- Timeout: Set the time interval in minutes to check the URLs again.
- Similarity Trigger: Define the percentage threshold for triggering alerts based on screenshot differences.
If you're using Docker Compose, include the following service definition in your docker-compose.yml
file:
services:
tiktok_detection:
image: 'xavierh/tiktok_detection'
container_name: tiktok_detection
restart: always
volumes:
- /path/to/assets:/assets