Social Analytics Semanal Scan

import requests
import json
from pathlib import Path
from datetime import datetime

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

TRACKED_ACCOUNTS = ["account1", "account2", "account3", "account4", "account5"]
GROWTH_THRESHOLD = 0.05  # 5% weekly growth flags attention

def get_profile_stats(username: str) -> dict:
    res = requests.post(
        f"{TIKTOK_URL}/profile",
        headers={"Authorization": f"Bearer {API_KEY}"},
        json={"username": username},
        timeout=15,
    )
    res.raise_for_status()
    data = res.json()
    return {
        "username": username,
        "followers": data.get("followers", 0),
        "following": data.get("following", 0),
        "total_likes": data.get("likes", 0),
        "bio": data.get("bio", ""),
    }

def run():
    date = datetime.utcnow().strftime("%Y-%m-%d")
    snapshots_dir = Path("tiktok_analytics")
    snapshots_dir.mkdir(exist_ok=True)

    # Load previous week
    prev_files = sorted(snapshots_dir.glob("snapshot_*.json"))
    previous = {}
    if prev_files:
        prev_data = json.loads(prev_files[-1].read_text())
        previous = {a["username"]: a for a in prev_data.get("accounts", [])}

    accounts = []
    notable = []
    for username in TRACKED_ACCOUNTS:
        stats = get_profile_stats(username)
        prev = previous.get(username, {})
        prev_followers = prev.get("followers", 0)

        if prev_followers > 0:
            growth = (stats["followers"] - prev_followers) / prev_followers
            stats["follower_growth_pct"] = round(growth * 100, 2)
            stats["follower_delta"] = stats["followers"] - prev_followers
            if abs(growth) >= GROWTH_THRESHOLD:
                notable.append(username)
        else:
            stats["follower_growth_pct"] = None
            stats["follower_delta"] = None

        accounts.append(stats)

    snapshot = {"date": date, "accounts": accounts, "notable_changes": notable}
    snapshots_dir.joinpath(f"snapshot_{date}.json").write_text(json.dumps(snapshot, indent=2))

    print(f"TikTok Analytics {date}: {len(accounts)} accounts tracked")
    for a in accounts:
        growth_str = f"{a['follower_growth_pct']:+.1f}%" if a["follower_growth_pct"] is not None else "new"
        flag = " ***" if a["username"] in notable else ""
        print(f"  @{a['username']}: {a['followers']:,} followers ({growth_str}){flag}")

if __name__ == "__main__":
    run()

const API_KEY = "your_scavio_api_key";
const TIKTOK_URL = "https://api.scavio.dev/api/v1/tiktok";
const ACCOUNTS = ["account1", "account2", "account3"];

async function getProfile(username) {
  const res = await fetch(`${TIKTOK_URL}/profile`, {
    method: "POST",
    headers: { Authorization: `Bearer ${API_KEY}`, "content-type": "application/json" },
    body: JSON.stringify({ username }),
  });
  if (!res.ok) throw new Error(`scavio ${res.status}`);
  const data = await res.json();
  return { username, followers: data.followers ?? 0, totalLikes: data.likes ?? 0 };
}

const stats = [];
for (const u of ACCOUNTS) stats.push(await getProfile(u));
stats.sort((a, b) => b.followers - a.followers);
for (const s of stats) console.log(`@${s.username}: ${s.followers.toLocaleString()} followers, ${s.totalLikes.toLocaleString()} likes`);