Diario TikTok Winning Producto Scan

import requests
import json
from datetime import datetime
from pathlib import Path
from collections import defaultdict

API_KEY = "your_scavio_api_key"
BASE_URL = "https://api.scavio.dev/api/v1/tiktok"

PRODUCT_HASHTAGS = [
    "tiktokmademebuyit",
    "amazonfinds",
    "viralproducts",
    "dropshipping2026",
    "tiktokshop",
    "musthave",
    "gadgets",
    "homefinds",
]

MIN_VIEWS = 50000
MIN_ENGAGEMENT_RATE = 0.04

def fetch_hashtag_videos(hashtag: str) -> list[dict]:
    res = requests.post(
        f"{BASE_URL}/hashtag",
        headers={"Authorization": f"Bearer {API_KEY}"},
        json={"hashtag": hashtag},
        timeout=15,
    )
    res.raise_for_status()
    return res.json().get("videos", [])

def score_video(video: dict) -> dict | None:
    views = video.get("views", 0)
    likes = video.get("likes", 0)
    shares = video.get("shares", 0)
    comments = video.get("comments", 0)

    if views < MIN_VIEWS:
        return None

    engagement_rate = (likes + shares + comments) / views if views > 0 else 0
    if engagement_rate < MIN_ENGAGEMENT_RATE:
        return None

    return {
        "video_id": video.get("id", ""),
        "description": video.get("description", "")[:200],
        "creator": video.get("creator", ""),
        "views": views,
        "likes": likes,
        "shares": shares,
        "engagement_rate": round(engagement_rate, 4),
        "score": round(engagement_rate * (views / 100000), 2),
    }

def run():
    opportunities = defaultdict(list)

    for hashtag in PRODUCT_HASHTAGS:
        videos = fetch_hashtag_videos(hashtag)
        for video in videos:
            scored = score_video(video)
            if scored:
                scored["hashtag"] = hashtag
                opportunities[scored["creator"]].append(scored)

    # Rank by best single video score
    ranked = []
    for creator, videos in opportunities.items():
        best = max(videos, key=lambda x: x["score"])
        ranked.append(best)

    ranked.sort(key=lambda x: x["score"], reverse=True)

    date = datetime.utcnow().strftime("%Y-%m-%d")
    report = {
        "date": date,
        "total_opportunities": len(ranked),
        "top_products": ranked[:20],
    }

    Path(f"tiktok_products_{date}.json").write_text(json.dumps(report, indent=2))
    print(f"Found {len(ranked)} product opportunities")
    for item in ranked[:5]:
        print(f"  {item['hashtag']} | {item['views']:,} views | {item['engagement_rate']:.1%} ER | score: {item['score']}")

if __name__ == "__main__":
    run()

const API_KEY = "your_scavio_api_key";
const BASE_URL = "https://api.scavio.dev/api/v1/tiktok";

const PRODUCT_HASHTAGS = [
  "tiktokmademebuyit", "amazonfinds", "viralproducts", "dropshipping2026",
  "tiktokshop", "musthave", "gadgets", "homefinds",
];

const MIN_VIEWS = 10000;
const MIN_ENGAGEMENT = 0.03;

async function fetchHashtagVideos(hashtag) {
  const res = await fetch(BASE_URL + "/hashtag/videos", {
    method: "POST",
    headers: { Authorization: "Bearer " + API_KEY, "Content-Type": "application/json" },
    body: JSON.stringify({ hashtag }),
  });
  if (!res.ok) throw new Error("tiktok " + res.status);
  const data = await res.json();
  return data.data?.videos || [];
}

function scoreVideo(video) {
  const views = video.play_count || 0;
  if (views < MIN_VIEWS) return null;
  const likes = video.digg_count || 0;
  const shares = video.share_count || 0;
  const comments = video.comment_count || 0;
  const er = views > 0 ? (likes + shares + comments) / views : 0;
  if (er < MIN_ENGAGEMENT) return null;
  return { videoId: video.id, creator: video.creator, views, likes, shares, er: Math.round(er * 10000) / 10000, score: Math.round(er * (views / 100000) * 100) / 100 };
}

async function run() {
  const opportunities = {};
  for (const hashtag of PRODUCT_HASHTAGS) {
    const videos = await fetchHashtagVideos(hashtag);
    for (const video of videos) {
      const scored = scoreVideo(video);
      if (scored) {
        scored.hashtag = hashtag;
        if (!opportunities[scored.creator]) opportunities[scored.creator] = [];
        opportunities[scored.creator].push(scored);
      }
    }
  }
  const ranked = Object.values(opportunities).map(vids => vids.sort((a, b) => b.score - a.score)[0]).sort((a, b) => b.score - a.score);
  console.log("Found " + ranked.length + " product opportunities");
  ranked.slice(0, 5).forEach(item => console.log("  " + item.hashtag + " | " + item.views + " views | score: " + item.score));
}

run();