Les produits qui deviennent viraux sur TikTok connaissent souvent une hausse des ventes sur Amazon 2 à 4 semaines plus tard. Ce pipeline repère les tendances sur TikTok et les recoupe avec les données de recherche Amazon pour identifier des opportunités d'arbitrage. Chaque vérification de tendance sur les deux plateformes coûte $0.010.
Prérequis
- Python 3.8+
- bibliothèque requests
- Une clé API Scavio depuis scavio.dev
- Niches de produits à surveiller
Parcours
Étape 1: Trouver les produits tendances sur TikTok
Rechercher du contenu lié aux produits sur TikTok et identifier les articles en tendance.
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}')Étape 2: Recouper avec la recherche Amazon
Vérifier si les produits tendances sur TikTok sont disponibles et se vendent sur 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}')Étape 3: Noter et classer les opportunités
Noter chaque tendance selon sa viralité sur TikTok et sa présence sur le marché 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)Exemple 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')Exemple 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}`);Sortie attendue
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