Los productos que se vuelven virales en TikTok a menudo experimentan un aumento en las ventas de Amazon entre 2 y 4 semanas después. Este canal detecta productos de tendencia en TikTok y los compara con los datos de búsqueda de Amazon para identificar oportunidades de arbitraje. Cada verificación de tendencias en ambas plataformas cuesta $0,010.
Requisitos previos
- Python 3.8+
- solicita biblioteca
- Una clave API de Scavio de scavio.dev
- Nichos de productos a monitorear
Guia paso a paso
Paso 1: Encuentra productos de tendencia en TikTok
Busque en TikTok contenido relacionado con productos e identifique artículos de tendencia.
Python
import os, requests, json
from datetime import datetime
from collections import Counter
API_KEY = os.environ['SCAVIO_API_KEY']
TH = {'Authorization': f'Bearer {API_KEY}', 'Content-Type': 'application/json'}
SH = {'x-api-key': API_KEY, 'Content-Type': 'application/json'}
NICHES = ['skincare routine', 'desk setup', 'kitchen gadgets', 'gym accessories']
def find_tiktok_trends(niche):
data = requests.post('https://api.scavio.dev/api/v1/tiktok/search/videos',
headers=TH, json={'query': f'{niche} must have 2026'}).json()
videos = data.get('videos', data.get('data', {}).get('videos', []))
products = []
for v in videos:
desc = v.get('desc', '')
plays = v.get('stats', {}).get('playCount', 0)
likes = v.get('stats', {}).get('diggCount', 0)
if plays > 10000: # Only viral content
products.append({
'desc': desc[:100],
'plays': plays,
'likes': likes,
'engagement': likes / plays if plays else 0,
'author': v.get('author', {}).get('uniqueId', ''),
})
return sorted(products, key=lambda x: x['plays'], reverse=True)
trends = {}
for niche in NICHES:
trending = find_tiktok_trends(niche)
trends[niche] = trending
print(f'\n{niche}: {len(trending)} trending videos')
for t in trending[:3]:
print(f' {t["plays"]:>10,} plays | @{t["author"]:15} | {t["desc"][:45]}')
print(f'\nCost: ${len(NICHES) * 0.005:.3f}')Paso 2: Referencia cruzada con la búsqueda de Amazon
Compruebe si los productos de tendencia de TikTok están disponibles y se venden en Amazon.
Python
def check_amazon_availability(product_desc, niche):
# Extract product keywords from TikTok description
query = f'{niche} {product_desc[:30]}'
data = requests.post('https://api.scavio.dev/api/v1/search',
headers=SH, json={'query': query, 'platform': 'amazon', 'country_code': 'us'}, timeout=10).json()
results = data.get('organic_results', [])
if not results:
return None
top = results[0]
return {
'title': top.get('title', '')[:60],
'price': top.get('price', top.get('extracted_price', '')),
'rating': top.get('rating', ''),
'link': top.get('link', ''),
'amazon_position': 1,
}
print(f'\n=== TikTok -> Amazon Cross-Reference ===')
cross_ref = []
for niche, trending in trends.items():
for trend in trending[:2]: # Top 2 per niche
amazon = check_amazon_availability(trend['desc'], niche)
if amazon:
cross_ref.append({
'niche': niche,
'tiktok_plays': trend['plays'],
'tiktok_engagement': trend['engagement'],
'amazon_title': amazon['title'],
'amazon_price': amazon['price'],
})
print(f' TikTok: {trend["plays"]:>10,} plays | Amazon: {amazon["price"]} - {amazon["title"][:40]}')
else:
print(f' TikTok: {trend["plays"]:>10,} plays | Amazon: NOT FOUND (opportunity?)')
print(f'\nCross-ref cost: ${len(NICHES) * 2 * 0.005:.3f}')Paso 3: Oportunidades de puntuación y clasificación
Califique cada tendencia según la viralidad de TikTok y la presencia en el mercado de Amazon.
Python
def score_opportunities(cross_ref):
print(f'\n{"=" * 60}')
print(f' TIKTOK -> AMAZON TREND REPORT')
print(f' Date: {datetime.now().strftime("%Y-%m-%d")}')
print(f'{"=" * 60}')
for item in cross_ref:
# Virality score (0-50)
virality = min(50, item['tiktok_plays'] / 20000)
# Engagement quality (0-30)
engagement = min(30, item['tiktok_engagement'] * 300)
# Total opportunity score
score = virality + engagement
item['opportunity_score'] = score
cross_ref.sort(key=lambda x: x['opportunity_score'], reverse=True)
print(f'\n Ranked Opportunities:')
for i, item in enumerate(cross_ref, 1):
print(f' {i}. [{item["opportunity_score"]:5.1f}] {item["niche"]}')
print(f' TikTok: {item["tiktok_plays"]:,} plays | {item["tiktok_engagement"]*100:.1f}% engagement')
print(f' Amazon: {item["amazon_price"]} - {item["amazon_title"][:45]}')
total_cost = (len(NICHES) + len(NICHES) * 2) * 0.005
print(f'\n Total cost: ${total_cost:.3f}')
print(f' Monthly (daily scans): ${total_cost * 30:.2f}')
print(f' Spot trends 2-4 weeks before Amazon sales spike.')
score_opportunities(cross_ref)Ejemplo en Python
Python
import os, requests
TH = {'Authorization': f'Bearer {os.environ["SCAVIO_API_KEY"]}', 'Content-Type': 'application/json'}
SH = {'x-api-key': os.environ['SCAVIO_API_KEY'], 'Content-Type': 'application/json'}
def trend_check(niche):
tt = requests.post('https://api.scavio.dev/api/v1/tiktok/search/videos',
headers=TH, json={'query': f'{niche} must have'}).json()
videos = tt.get('videos', tt.get('data', {}).get('videos', []))
print(f'TikTok: {len(videos)} videos for "{niche}"')
am = requests.post('https://api.scavio.dev/api/v1/search',
headers=SH, json={'query': niche, 'platform': 'amazon', 'country_code': 'us'}).json()
print(f'Amazon: {len(am.get("organic_results", []))} products')
trend_check('desk setup gadgets')Ejemplo en JavaScript
JavaScript
const TH = { 'Authorization': `Bearer ${process.env.SCAVIO_API_KEY}`, 'Content-Type': 'application/json' };
const SH = { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' };
const tt = await fetch('https://api.scavio.dev/api/v1/tiktok/search/videos', {
method: 'POST', headers: TH, body: JSON.stringify({ query: 'desk setup must have' })
}).then(r => r.json());
const am = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: SH,
body: JSON.stringify({ query: 'desk setup', platform: 'amazon', country_code: 'us' })
}).then(r => r.json());
console.log(`TikTok: ${(tt.videos || []).length} | Amazon: ${(am.organic_results || []).length}`);Salida esperada
JSON
skincare routine: 8 trending videos
2,500,000 plays | @skincarebysara | This vitamin C serum changed everything
1,200,000 plays | @dermglow | Morning routine must-haves for 2026
desk setup: 5 trending videos
3,100,000 plays | @techsetups | Minimal desk setup 2026 essentials
=== TikTok -> Amazon Cross-Reference ===
TikTok: 3,100,000 plays | Amazon: $34.99 - Desk Organizer Minimal Wood Stand
TikTok: 2,500,000 plays | Amazon: $28.99 - Vitamin C Serum with Hyaluronic
============================================================
TIKTOK -> AMAZON TREND REPORT
============================================================
1. [ 47.5] desk setup
TikTok: 3,100,000 plays | 8.2% engagement
Amazon: $34.99 - Desk Organizer Minimal Wood Stand
Total cost: $0.060
Monthly (daily scans): $1.80