Faceuidd is a simple and fast online tool to retrieve Facebook IDs from profiles, groups, or posts. Just enter the Facebook link and get the ID in seconds. Ideal for developers, researchers, and digital marketers needing Facebook IDs for API integrations, data analysis, and activity tracking.
- Retrieve Facebook IDs from profiles, groups, or posts.
- Simple and user-friendly interface.
- Fast and accurate processing.
Follow these steps to run Faceuidd on localhost using Termux:
- Install Termux: Download and install the Termux app from the F-Droid.
- Update Packages and Install Python:
pkg update && pkg upgrade pkg install python
- Clone the Repository:
pkg install git git clone https://github.com/RozhakXD/Faceuidd.git cd Faceuidd
- Create a Virtual Environment and Install Dependencies:
python -m venv venv source venv/bin/activate pip install -r requirements.txt
- Run the Application:
export FLASK_APP=app.py flask run
- Access the Application:
Open your browser and go to
http://127.0.0.1:5000
.
If you encounter issues while running Faceuidd, try the following steps:
- Check Internet Connection: Ensure you have a stable internet connection.
- Verify Dependencies: Make sure all dependencies are installed correctly using
pip install -r requirements.txt
. - Check Error Messages: Look at the terminal error messages for more information about the problem.
- Read Documentation: Refer to the Flask documentation for more information on running a Flask application.
- Contact Us: If the issue persists, you can open an issue on GitHub or contact the developer.
If you would like to support this project, you can donate via:
You can also use Faceuidd via its API. Here is an example of how to use the API with Python:
import requests
import json
headers = {
"Content-Type": "application/json"
}
data = json.dumps({
"link": "https://www.facebook.com/share/p/...?"
})
response = requests.post('https://www.faceuidd.rozhakxd.my.id/api/v1/facebook-id-retriever/', headers=headers, data=data)
print(response.json())
This project is licensed under the MIT License. See the LICENSE file for details.
Developed by Rozhak.