Auto Like Tiktok - Github

Instead of reverse-engineering TikTok’s API, use programming to:

This keeps you on the right side of the rules and builds a valuable skill.

GitHub hosts numerous open-source scripts and bots designed to automatically like TikTok videos. These tools typically simulate human interaction through automation, API reverse-engineering, or browser automation (Selenium, Playwright). While they offer growth hacking potential, they violate TikTok’s Terms of Service and carry high risks of account suspension or permanent ban.

Disclaimer: This library and approach may violate TikTok's terms of service. Use educational purposes only. auto like tiktok github

You can install the TikTok-api library using pip:

pip install TikTok-api

Here's a simple example to interact with TikTok:

from TikTokApi import TikTokApi
def login():
    # You may need to manually get and use a session for more control
    api = TikTokApi()
    return api
def like_video(api, video_url):
    try:
        # Extract video ID
        video_id = video_url.split("?")[0].split("/")[-1]
# Like video
        api.like(video_id=video_id)
        print(f"Liked video: video_url")
    except Exception as e:
        print(f"Failed to like video: e")
# Initialize
api = login()
# Example video URL
video_url = "https://www.tiktok.com/@username/video/123456789"
# Like the video
like_video(api, video_url)

The script opens a real browser instance, logs into your TikTok account, navigates to the FYP or hashtag page, and uses selectors to click the like button. This keeps you on the right side of

Example pseudocode from a typical GitHub repo:

while True:
    driver.get('https://www.tiktok.com/@username')
    like_button = driver.find_element_by_xpath('//button[@data-e2e="like-icon"]')
    like_button.click()
    time.sleep(random.uniform(5, 15))

This is the most common outcome. After a bot runs for a few hours, you will notice your analytics drop to zero. Your videos stop appearing on the FYP. You are not banned—you are simply invisible. TikTok uses behavioral pattern analysis. Humans do not like 120 videos in 3 minutes. When your account velocity exceeds human limits, the "Spam" flag is applied.

Let’s bust a major myth: Likes ≠ Growth. GitHub hosts numerous open-source scripts and bots designed

TikTok’s recommendation algorithm is sophisticated. It tracks:

Auto-likes only affect one low-weight signal. Worse, bot likes often come from accounts with no profile photos, zero followers, and no activity. TikTok’s system identifies these as low-quality interactions and may suppress your content as a result.

In short: 10,000 bot likes will not push your video to the FYP. But 50 real likes with high watch time will.

More advanced scripts intercept TikTok’s mobile or web API requests. They send direct HTTP POST requests to TikTok’s internal endpoints (e.g., https://www.tiktok.com/api/aweme/v1/aweme/like/). This is faster and harder to detect—but also more complex because TikTok frequently changes its API signatures.