Most GitHub repositories rely on browser automation frameworks like Selenium, Playwright, or Puppeteer.
There is a genuine rush of power when you run a script like python tiktok_bot.py for the first time. Watching the console logs scroll by— “User liked. User followed. Video shared.” —makes you feel like a puppet master. For a brief moment, you have beaten the algorithm. The engagement numbers tick up, and the dopamine hits.
Create a directory named /profile inside your cloned GitHub project folder and paste the data there. Step 4: Configure and Run auto like tiktok github
from selenium import webdriver from selenium.webdriver.common.by import By import time
TikTok’s algorithm is one of the most sophisticated in the world. It is designed to reward genuine retention . A "like" from a bot counts for less than zero — it actively hurts your watch time metrics. User followed
(Python + Selenium):
Old guides recommended using Selenium with "undetected-chromedriver." As of TikTok’s 2025 security updates (Trust & Safety enhancements), these drivers are detected within 50 requests. The "golden age" of TikTok botting is over. The engagement numbers tick up, and the dopamine hits
Developers build TikTok auto-likers using a few distinct methodologies, ranging from simple browser mimics to complex network request interceptors. 1. Browser Automation (Selenium and Playwright)
Do not run compiled executables ( .exe or .app files). Run raw text scripts (like .py or .js ) where you can physically read every line of code to verify no data is being exfiltrated.