TikTok Engagement API Metrics

import requests API_KEY = "your_scavio_api_key" res = requests.post( "https://api.scavio.dev/api/v1/tiktok/user/posts", headers={"Authorization": f"Bearer {API_KEY}"}, json={"username": "creator_handle"}, ) videos = res.json().get("videos", []) for v in videos[:5]: views = v.get("play_count", 0) likes = v.get("digg_count", 0) ratio = (likes / views * 100) if views > 0 else 0 print(f"Views: {views:,} | Likes: {likes:,} | Ratio: {ratio:.1f}%")

TikTok Engagement API Metrics is relevant to TikTok. Scavio provides a unified API to access data from all of these platforms.

TikTok engagement metrics tell different stories depending on the ratio. Raw metrics available via Scavio TikTok API at $0.005/request: play_count (total video views), digg_count (likes/hearts), comment_count (total comments), and share_count (times shared to other platforms or users). Each metric reveals different aspects of content performance. Engagement ratios matter more than raw numbers. Like-to-view ratio (digg_count / play_count): healthy range is 3-8% for most niches. Below 2% suggests the content is being shown but not resonating. Above 10% indicates highly engaged audiences, common in niche communities. Comment-to-view ratio: healthy range is 0.1-0.5%. Higher ratios indicate controversial or discussion-provoking content. Share-to-view ratio: the strongest signal for viral potential. Shares above 1% of views indicate content that people actively distribute. Creator vetting application: query a creator's recent 20 posts via Scavio user/posts endpoint (cost: $0.005), calculate average engagement ratios, and compare against niche benchmarks. A creator with 100K followers but 0.5% like-to-view ratio is less valuable than a 20K-follower creator with 8% like-to-view ratio. Trend detection application: search trending hashtags or topics via search/videos, rank results by share_count to identify content with the highest viral momentum. Track the same query daily to build a trending content time-series.