YoLikers is a safe and efficient tool to increase likes on Facebook posts. Using cookies from new Facebook accounts, it offers a secure login process, bypasses reCAPTCHA verification automatically, and provides a smooth, frictionless experience.
⚠️ Important: Use a new or secondary account to avoid security risks on your main profile.
- Multiple Reaction Types: Choose from LIKE, LOVE, CARE, HAHA, WOW, SAD, or ANGRY.
- Secure Login: Use Facebook cookies for seamless authentication.
- Bypass reCAPTCHA: Automated handling of verification challenges.
- User-Friendly Interface: Clean, modern interface built with Rich library.
- Python 3.x
- Required libraries:
requests,rich
- Clone the Repository:
git clone https://github.com/RozhakXD/YoLikers.git cd YoLikers - Install Dependencies:
pip install -r requirements.txt
- Running The Tool:
python Run.py
-
Update reCAPTCHA Key: Replace the placeholder with your own:
self.KEY = '<YOUR_MULTIBOT_KEY>' # Register here: https://multibot.in/dashboard/signup.php
- If an error occurs while logging in, you can use another Facebook account to log in, because not all accounts can log in.
- Make sure the post ID you entered is correct, can be seen by the public and can be liked by the public.
- If you fail to send a reaction, it is likely that you have reached the limit because each account can only send 10 submissions in one day.
- If an error occurs while bypassing the captcha, it is likely that the multibot server is having problems.
- If you only get a few reactions, this is due to the small number of Yolikers users.
Support YoLikers' growth and improvements by donating via Trakteer, PayPal, or Saweria—your contributions make a difference! 🚀
This project is licensed under the MIT License. You are free to use, modify, and redistribute this code, as long as you give attribution to the original developer.