The Problem
Marketing teams find YouTube influencers by manually browsing YouTube, searching hashtags, and copy-pasting channel stats into spreadsheets. Some teams build scrapers that break when YouTube updates its frontend. YouTube's official API has strict quotas (10K units/day) that run out fast when scanning for influencers across multiple niches.
The Scavio Solution
Use Scavio's YouTube search API to find and analyze influencers programmatically. Search by niche keyword, get structured results with video titles, view counts, channel info, and engagement signals. No scraper maintenance, no YouTube API quota management, no frontend changes to track.
Before
Team manually browses YouTube for influencers. 2 hours to find 10 candidates. Or runs a scraper that breaks monthly. YouTube API quota runs out after 200 channel lookups.
After
API search finds 50 influencer candidates in 5 minutes. Structured data includes channel stats, video performance, and engagement signals. $0.005/search. No quota limits.
Who It Is For
Marketing teams and agencies who need to discover and vet YouTube influencers at scale without manual browsing or fragile scrapers.
Key Benefits
- 50 influencer candidates in 5 minutes vs 2 hours manual
- Structured channel and video data without scraping
- No YouTube API quota limits
- Cross-reference with Google search for influencer authority
- $0.005/search, no scraper maintenance
Python Example
import requests, os
API_KEY = os.environ["SCAVIO_API_KEY"]
H = {"x-api-key": API_KEY, "Content-Type": "application/json"}
def find_influencers(niche: str, min_results: int = 10) -> list:
"""Find YouTube influencers in a niche."""
resp = requests.post(
"https://api.scavio.dev/api/v1/search",
headers=H,
json={"query": f"{niche} tutorial 2026", "platform": "youtube", "country_code": "us"},
timeout=15,
)
data = resp.json()
videos = data.get("video_results", [])[:min_results]
influencers = {}
for v in videos:
channel = v.get("channel", {}).get("name", "Unknown")
if channel not in influencers:
influencers[channel] = {
"channel": channel,
"videos": [],
"total_views": 0,
}
influencers[channel]["videos"].append(v.get("title", ""))
influencers[channel]["total_views"] += v.get("views", 0)
return sorted(influencers.values(), key=lambda x: x["total_views"], reverse=True)
# Find top fitness YouTube influencers
results = find_influencers("home workout")
for r in results[:5]:
print(f"{r['channel']}: {r['total_views']:,} views across {len(r['videos'])} videos")JavaScript Example
const H = {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
async function findInfluencers(niche, minResults=10) {
const r = await fetch('https://api.scavio.dev/api/v1/search', {method:'POST', headers:H, body:JSON.stringify({query:niche+' tutorial 2026', platform:'youtube', country_code:'us'})});
const videos = (await r.json()).video_results || [];
const map = {};
for (const v of videos.slice(0,minResults)) {
const ch = v.channel?.name || 'Unknown';
if (!map[ch]) map[ch] = {channel:ch, videos:[], totalViews:0};
map[ch].videos.push(v.title||'');
map[ch].totalViews += v.views||0;
}
return Object.values(map).sort((a,b)=>b.totalViews-a.totalViews);
}
const results = await findInfluencers('home workout');
for (const r of results.slice(0,5)) {
console.log(r.channel+': '+r.totalViews+' views, '+r.videos.length+' videos');
}Platforms Used
YouTube
Video search with transcripts and metadata
Web search with knowledge graph, PAA, and AI overviews