If you’re determined to repair an existing script, here’s what usually needs updating:
Instead of fixing a broken request‑based script, consider this less detectable architecture using Playwright:
from playwright.sync_api import sync_playwright import random, timedef human_like(video_url, account_cookies): with sync_playwright() as p: browser = p.chromium.launch(headless=False) context = browser.new_context( user_agent="Mozilla/5.0 (Linux; Android 12) ..." ) context.add_cookies(account_cookies) page = context.new_page() auto like tiktok github fix
page.goto(video_url) # Wait for video to load page.wait_for_selector("video") # Simulate watching for 5-15 seconds watch_time = random.uniform(5, 15) page.mouse.wheel(0, random.randint(100, 300)) time.sleep(watch_time) # Click the like button page.click("[data-e2e='like-icon']") browser.close()
Why this works longer: It mimics real user behavior, generates genuine client‑side signatures, and is harder for TikTok to distinguish from a human.
In the fast-paced world of social media automation, GitHub repositories for "TikTok Auto Like" scripts are notoriously short-lived. A script that functions perfectly one week might be completely defunct the next. If you are looking to "fix" a non-working auto-like bot you found on GitHub, you are likely facing one of several specific technical hurdles. If you’re determined to repair an existing script,
This document outlines the architecture of modern TikTok automation, why old scripts fail, and the code logic required to fix them.