Resumen
Exportar businesses necesita diario intelligence on objetivo mercados: producto demand senales, regulatory cambios, competidor mueve, y precios tendencias. Este flujo de trabajo searches Google for market-specific consultas a traves de multiples paises, Amazon for producto demand indicators, y Reddit for mercado sentiment. Resultados son compiled en un structured informe diario.
Desencadenador
Cron programar (diario at 5 AM UTC)
Programación
Diario at 5 AM UTC
Pasos del flujo de trabajo
Cargar mercado configurations
Leer objetivo exportar mercados, producto categorias, y monitoreo palabras clave de config.
Search for demand senales
Consulta Google con country-specific producto consultas to gauge search-visible demand. Consulta Amazon for producto listings.
Verificar regulatory actualiza
Search Google for reciente regulatory o tariff cambios affecting your producto categorias in objetivo mercados.
Monitorear competidor activity
Search Google y Reddit for competidor menciones de marca in objetivo mercados.
Compile intelligence informe
Structure todos findings by mercado y categoria. Marcar significativo cambios de ayer.
Distribute informe
Enviar el compiled informe to el exportar team via correo electronico o Slack con actionable highlights.
Implementacion en Python
import requests, os, json
from datetime import date
H = {"x-api-key": os.environ["SCAVIO_API_KEY"]}
MARKETS = [
{"country": "Germany", "products": ["solar panels", "ev chargers"]},
{"country": "Japan", "products": ["organic food", "supplements"]}
]
def research_market(country, product):
demand = requests.post("https://api.scavio.dev/api/v1/search", headers=H,
json={"platform": "google", "query": f"{product} demand {country} 2026"}, timeout=10).json()
regulations = requests.post("https://api.scavio.dev/api/v1/search", headers=H,
json={"platform": "google", "query": f"{product} import regulations {country} 2026"}, timeout=10).json()
amazon_data = requests.post("https://api.scavio.dev/api/v1/search", headers=H,
json={"platform": "amazon", "query": f"{product}"}, timeout=10).json()
return {
"country": country, "product": product, "date": str(date.today()),
"demand_signals": [{"title": o.get("title"), "snippet": o.get("snippet")}
for o in demand.get("organic", [])[:3]],
"regulatory_updates": [{"title": o.get("title"), "snippet": o.get("snippet")}
for o in regulations.get("organic", [])[:3]],
"amazon_listings": len(amazon_data.get("organic", []))
}
report = []
for market in MARKETS:
for product in market["products"]:
report.append(research_market(market["country"], product))
print(json.dumps(report, indent=2))Implementacion en JavaScript
const H = {"x-api-key": process.env.SCAVIO_API_KEY, "Content-Type": "application/json"};
async function researchMarket(country, product) {
const [demand, regs, amazon] = await Promise.all([
fetch("https://api.scavio.dev/api/v1/search", {
method: "POST", headers: H,
body: JSON.stringify({platform: "google", query: product + " demand " + country + " 2026"})
}).then(r => r.json()),
fetch("https://api.scavio.dev/api/v1/search", {
method: "POST", headers: H,
body: JSON.stringify({platform: "google", query: product + " import regulations " + country + " 2026"})
}).then(r => r.json()),
fetch("https://api.scavio.dev/api/v1/search", {
method: "POST", headers: H,
body: JSON.stringify({platform: "amazon", query: product})
}).then(r => r.json())
]);
return {
country, product,
demandSignals: (demand.organic || []).slice(0, 3).map(o => ({title: o.title, snippet: o.snippet})),
regulatoryUpdates: (regs.organic || []).slice(0, 3).map(o => ({title: o.title, snippet: o.snippet})),
amazonListings: (amazon.organic || []).length
};
}Plataformas utilizadas
Búsqueda web con grafo de conocimiento, PAA y resúmenes de IA
Amazon
Búsqueda de productos con precios, calificaciones y reseñas
Comunidad, publicaciones y comentarios en hilos de cualquier subreddit