E-commerce Intelligence Without Maintaining Scrapers

import requests
from datetime import date

def product_intelligence(query: str) -> dict:
    """Gather product data across multiple platforms."""
    platforms = ["amazon", "walmart"]
    intelligence = {"query": query, "date": str(date.today()), "platforms": {}}

    for platform in platforms:
        resp = requests.post(
            "https://api.scavio.dev/api/v1/search",
            headers={"x-api-key": "YOUR_KEY"},
            json={
                "query": query,
                "platform": platform,
                "num_results": 10
            }
        )
        data = resp.json()
        products = data.get("product_results", [])

        prices = []
        for p in products:
            price_str = p.get("price", "").replace("$", "").replace(",", "")
            try:
                prices.append(float(price_str))
            except ValueError:
                pass

        intelligence["platforms"][platform] = {
            "product_count": len(products),
            "avg_price": round(sum(prices) / len(prices), 2) if prices else None,
            "min_price": min(prices) if prices else None,
            "max_price": max(prices) if prices else None,
            "top_rated": sorted(
                products, key=lambda p: float(p.get("rating", 0)), reverse=True
            )[:3]
        }

    return intelligence

report = product_intelligence("standing desk electric")
for platform, data in report["platforms"].items():
    print(f"\n{platform.upper()}:")
    print(f"  Products: {data['product_count']}")
    print(f"  Price range: ${data['min_price']} - ${data['max_price']}")
    print(f"  Average: ${data['avg_price']}")

// Check if a product is trending on TikTok
async function tiktokTrendCheck(product) {
  const resp = await fetch("https://api.scavio.dev/api/v1/tiktok/search/videos", {
    method: "POST",
    headers: {
      "Authorization": "Bearer " + process.env.SCAVIO_KEY,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      query: product + " review",
      count: 10,
      sort_type: 1
    })
  });

  const data = await resp.json();
  const videos = data.data?.videos || [];

  const totalViews = videos.reduce(
    (sum, v) => sum + (v.stats?.playCount || 0), 0
  );

  return {
    product,
    tiktokVideos: videos.length,
    totalViews,
    trending: totalViews > 100000
  };
}

const trend = await tiktokTrendCheck("portable blender");
console.log(trend.trending ? "TRENDING" : "NOT TRENDING");
console.log("Total views:", trend.totalViews.toLocaleString());

Approach         | Monthly cost  | Maintenance | Reliability
Custom scrapers  | $100-300      | 8-16 hrs    | 70-85%
API (Scavio)     | $30-100       | 0 hrs       | 99%+
Helium10/JScout  | $39-99        | 0 hrs       | 95% (Amazon only)