Détecter les produits tendance sur TikTok avant leur pic

import requests, os, json
from datetime import datetime
from pathlib import Path

SCAVIO_KEY = os.environ["SCAVIO_API_KEY"]
TIKTOK_H = {"Authorization": f"Bearer {SCAVIO_KEY}", "Content-Type": "application/json"}
SEARCH_H = {"x-api-key": SCAVIO_KEY, "Content-Type": "application/json"}

PRODUCT_HASHTAGS = ["kitchengadgets", "tiktokmademebuyit", "cleaninghacks", "fitnessgear"]

def check_tiktok_hashtag(hashtag: str) -> dict:
    resp = requests.post(
        f"https://api.scavio.dev/api/v1/tiktok/hashtag",
        headers=TIKTOK_H,
        json={"hashtag": hashtag},
        timeout=10,
    )
    return resp.json()

def check_amazon_demand(keyword: str) -> dict:
    resp = requests.post(
        "https://api.scavio.dev/api/v1/search",
        headers=SEARCH_H,
        json={"query": keyword, "platform": "amazon", "country_code": "us"},
        timeout=10,
    )
    results = resp.json().get("organic_results", [])
    return {"keyword": keyword, "amazon_results": len(results)}

# Daily trend scan
log_file = Path("tiktok_trends.jsonl")
for tag in PRODUCT_HASHTAGS:
    tiktok_data = check_tiktok_hashtag(tag)
    amazon_data = check_amazon_demand(tag.replace("tiktok", "").strip())
    entry = {
        "date": datetime.now().isoformat(),
        "hashtag": tag,
        "tiktok": tiktok_data,
        "amazon": amazon_data,
    }
    with log_file.open("a") as f:
        f.write(json.dumps(entry) + "\n")
    print(f"#{tag}: TikTok data collected, Amazon results: {amazon_data['amazon_results']}")

const SCAVIO_KEY = process.env.SCAVIO_API_KEY;
const TIKTOK_H = {"Authorization": `Bearer ${SCAVIO_KEY}`, "Content-Type": "application/json"};
const SEARCH_H = {"x-api-key": SCAVIO_KEY, "Content-Type": "application/json"};
const fs = await import("fs");

const PRODUCT_HASHTAGS = ["kitchengadgets", "tiktokmademebuyit", "cleaninghacks", "fitnessgear"];

async function checkTikTokHashtag(hashtag) {
  const res = await fetch("https://api.scavio.dev/api/v1/tiktok/hashtag", {
    method: "POST",
    headers: TIKTOK_H,
    body: JSON.stringify({ hashtag }),
  });
  return res.json();
}

async function checkAmazonDemand(keyword) {
  const res = await fetch("https://api.scavio.dev/api/v1/search", {
    method: "POST",
    headers: SEARCH_H,
    body: JSON.stringify({ query: keyword, platform: "amazon", country_code: "us" }),
  });
  const data = await res.json();
  return { keyword, amazonResults: (data.organic_results || []).length };
}

for (const tag of PRODUCT_HASHTAGS) {
  const tiktokData = await checkTikTokHashtag(tag);
  const amazonData = await checkAmazonDemand(tag.replace("tiktok", "").trim());
  const entry = { date: new Date().toISOString(), hashtag: tag, tiktok: tiktokData, amazon: amazonData };
  fs.appendFileSync("tiktok_trends.jsonl", JSON.stringify(entry) + "\n");
  console.log(`#${tag}: TikTok data collected, Amazon results: ${amazonData.amazonResults}`);
}