TikTok Scraper API: Extract Public Videos, Profiles, Comments & Ads at Scale

import requests

API_KEY = "tk_live_your_api_key"
HEADERS = {"x-api-key": API_KEY}

def scrape_brand_intelligence(handle: str):
    # 1. Profile & follower count
    profile = requests.get(
        "https://api.tiktokapi.io/v1/user/info",
        params={"username": handle},
        headers=HEADERS,
        timeout=20,
    ).json()["data"]

    # 2. Recent video posts (up to 33 in one call)
    posts = requests.get(
        "https://api.tiktokapi.io/v1/user/posts",
        params={"username": handle, "count": 33},
        headers=HEADERS,
        timeout=25,
    ).json()["data"].get("videos", [])

    # Sort by views to find top viral video
    top_video = max(posts, key=lambda v: v.get("play_count", 0)) if posts else None
    top_comments = []
    if top_video:
        vid = top_video.get("video_id") or top_video.get("id")
        top_comments = requests.get(
            "https://api.tiktokapi.io/v1/comment/list",
            params={"url": vid, "count": 50},
            headers=HEADERS,
            timeout=25,
        ).json()["data"].get("comments", [])

    return {
        "handle": handle,
        "followers": profile["stats"]["followerCount"],
        "videos_scraped": len(posts),
        "top_video_views": top_video.get("play_count") if top_video else 0,
        "comments_scraped": len(top_comments),
    }

if __name__ == "__main__":
    print(scrape_brand_intelligence("tiktok"))