The Problem
Tracking competitor TikTok strategy requires manually visiting their profiles, scrolling through videos, noting posting frequency, and guessing at engagement patterns. There is no built-in way to programmatically monitor competitor content, track their hashtag usage, or measure their engagement rates over time. Competitive intelligence on TikTok is stuck in the manual era while other channels have API-based monitoring.
The Scavio Solution
Build a competitor intelligence pipeline using Scavio's TikTok endpoints. Monitor competitor profiles for new videos, track their hashtag strategy, and measure engagement rates programmatically. Schedule daily fetches to build a historical dataset of competitor activity that reveals posting patterns, content themes, and engagement trends.
Before
Before: A brand strategist spent 5 hours/week manually checking 8 competitor TikTok profiles, recording video counts, and estimating engagement. Data was stored in a spreadsheet updated weekly. Trend detection lagged by 1-2 weeks.
After
After: A daily pipeline monitors all 8 competitors in under 10 minutes for $1.20/day ($36/mo). New competitor videos are detected within 24 hours. Engagement trend dashboards update automatically. Content gap analysis runs weekly with historical data.
Who It Is For
Brand strategists, competitive intelligence teams, and social media managers tracking competitor TikTok activity. Agencies benchmarking client performance against industry competitors.
Key Benefits
- Monitor 8+ competitor TikTok profiles daily for $36/mo
- Detect new competitor content within 24 hours of posting
- Track competitor engagement rate trends with historical data
- Identify content gaps and winning formats from competitor analysis
- Replace 20+ hours/mo of manual competitive research with automation
Python Example
import requests
API_KEY = "your_scavio_api_key"
def get_competitor_videos(username: str) -> list:
r = requests.post(
"https://api.scavio.dev/api/v1/tiktok/profile",
headers={"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"},
json={"username": username},
timeout=15,
)
profile = r.json()
videos = profile.get("videos", [])
return [{
"id": v.get("id"),
"desc": v.get("desc", "")[:100],
"views": v.get("play_count", 0),
"likes": v.get("digg_count", 0),
"created": v.get("create_time"),
} for v in videos[:20]]
competitors = ["competitor_brand_a", "competitor_brand_b"]
for comp in competitors:
videos = get_competitor_videos(comp)
avg_views = sum(v["views"] for v in videos) / max(len(videos), 1)
print(f"@{comp}: {len(videos)} recent videos, avg {avg_views:.0f} views")JavaScript Example
const API_KEY = "your_scavio_api_key";
async function getCompetitorVideos(username) {
const res = await fetch("https://api.scavio.dev/api/v1/tiktok/profile", {
method: "POST",
headers: { "Authorization": `Bearer ${API_KEY}`, "content-type": "application/json" },
body: JSON.stringify({ username }),
});
const profile = await res.json();
return (profile.videos || []).slice(0, 20).map(v => ({
id: v.id,
desc: (v.desc || "").slice(0, 100),
views: v.play_count || 0,
likes: v.digg_count || 0,
created: v.create_time,
}));
}
const competitors = ["competitor_brand_a", "competitor_brand_b"];
for (const comp of competitors) {
const videos = await getCompetitorVideos(comp);
const avgViews = videos.reduce((s, v) => s + v.views, 0) / (videos.length || 1);
console.log(`@${comp}: ${videos.length} recent videos, avg ${Math.round(avgViews)} views`);
}Platforms Used
TikTok
Trending video, creator, and product discovery