YouTube Influencer SERP Research Workflow

import requests, os, json

API_KEY = os.environ["SCAVIO_API_KEY"]
H = {"x-api-key": API_KEY, "Content-Type": "application/json"}

def search_youtube(keyword: str) -> list:
    resp = requests.post(
        "https://api.scavio.dev/api/v1/search",
        headers=H,
        json={"query": f"{keyword} 2026", "platform": "youtube", "country_code": "us"},
        timeout=15,
    )
    return resp.json().get("video_results", [])

def google_authority(creator: str) -> int:
    resp = requests.post(
        "https://api.scavio.dev/api/v1/search",
        headers=H,
        json={"query": creator, "country_code": "us"},
        timeout=10,
    )
    return len(resp.json().get("organic_results", []))

def influencer_research(keywords: list) -> list:
    creators = {}
    for kw in keywords:
        videos = search_youtube(kw)
        for v in videos:
            channel = v.get("channel", {}).get("name", "Unknown")
            if channel not in creators:
                creators[channel] = {"channel": channel, "videos": 0, "total_views": 0}
            creators[channel]["videos"] += 1
            creators[channel]["total_views"] += v.get("views", 0)

    # Score top creators
    ranked = sorted(creators.values(), key=lambda x: x["total_views"], reverse=True)[:10]
    for c in ranked:
        c["google_mentions"] = google_authority(c["channel"])
        c["score"] = c["total_views"] * 0.6 + c["google_mentions"] * 1000 * 0.4
    return sorted(ranked, key=lambda x: x["score"], reverse=True)

results = influencer_research(["home workout", "fitness nutrition", "meal prep"])
for r in results[:5]:
    print(f"{r['channel']}: {r['total_views']:,} views, {r['videos']} videos, {r['google_mentions']} Google mentions")

const H = {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};

async function searchYoutube(keyword) {
  const r = await fetch('https://api.scavio.dev/api/v1/search', {method:'POST', headers:H, body:JSON.stringify({query:keyword+' 2026', platform:'youtube', country_code:'us'})});
  return (await r.json()).video_results || [];
}

async function googleAuthority(creator) {
  const r = await fetch('https://api.scavio.dev/api/v1/search', {method:'POST', headers:H, body:JSON.stringify({query:creator, country_code:'us'})});
  return ((await r.json()).organic_results||[]).length;
}

async function influencerResearch(keywords) {
  const creators = {};
  for (const kw of keywords) {
    for (const v of await searchYoutube(kw)) {
      const ch = v.channel?.name || 'Unknown';
      if (!creators[ch]) creators[ch] = {channel:ch, videos:0, totalViews:0};
      creators[ch].videos++;
      creators[ch].totalViews += v.views||0;
    }
  }
  const ranked = Object.values(creators).sort((a,b)=>b.totalViews-a.totalViews).slice(0,10);
  for (const c of ranked) { c.googleMentions = await googleAuthority(c.channel); c.score = c.totalViews*0.6 + c.googleMentions*1000*0.4; }
  return ranked.sort((a,b)=>b.score-a.score);
}

const results = await influencerResearch(['home workout', 'fitness nutrition', 'meal prep']);
for (const r of results.slice(0,5)) console.log(r.channel+': '+r.totalViews+' views, '+r.videos+' videos, '+r.googleMentions+' Google mentions');