Les prix des concurrents changent chaque jour, et les vérifications manuelles ne passent pas à l'échelle. Ce tracker interroge Google Shopping, Amazon et Walmart pour votre catégorie de produits, enregistre les prix, détecte les changements et envoie des alertes. Chaque vérification de plateforme coûte 0,005 $, donc le suivi de 20 produits sur 3 plateformes coûte 0,30 $/jour.
Prérequis
- Python 3.8+
- bibliothèque requests
- Une clé API Scavio provenant de scavio.dev
- Liste des produits et des marques concurrentes à suivre
Parcours
Étape 1: Récupérer les prix depuis plusieurs plateformes
Interroger Google Shopping, Amazon et Walmart pour les prix des produits.
Python
import os, requests, json
from datetime import datetime
API_KEY = os.environ['SCAVIO_API_KEY']
SH = {'x-api-key': API_KEY, 'Content-Type': 'application/json'}
PRODUCTS = ['wireless earbuds', 'mechanical keyboard', 'USB-C hub']
def get_prices(product, platform=None):
body = {'query': product, 'country_code': 'us'}
if platform:
body['platform'] = platform
data = requests.post('https://api.scavio.dev/api/v1/search',
headers=SH, json=body).json()
results = data.get('shopping_results', data.get('organic_results', []))
prices = []
for r in results[:5]:
price = r.get('price', r.get('extracted_price', ''))
prices.append({
'title': r.get('title', '')[:60],
'price': price,
'source': r.get('source', r.get('displayed_link', '')),
'link': r.get('link', ''),
'platform': platform or 'google'
})
return prices
for product in PRODUCTS:
print(f'\n{product}:')
for platform in [None, 'amazon', 'walmart']:
prices = get_prices(product, platform)
label = platform or 'google'
if prices:
lowest = min(prices, key=lambda p: float(str(p['price']).replace('$', '').replace(',', '') or '999'))
print(f' [{label:8}] {len(prices)} listings, lowest: {lowest["price"]} - {lowest["title"][:35]}')
else:
print(f' [{label:8}] No results')
print(f'\nCost: ${len(PRODUCTS) * 3 * 0.005:.3f}')Étape 2: Détecter les changements de prix par rapport à la référence
Comparer les prix actuels aux références stockées et signaler les changements.
Python
def track_price_changes(products, history_file='price_history.json'):
try:
with open(history_file) as f:
history = json.load(f)
except FileNotFoundError:
history = {}
today = datetime.now().strftime('%Y-%m-%d')
changes = []
for product in products:
prices = get_prices(product, 'amazon')
if not prices:
continue
top_price = prices[0]
price_val = str(top_price.get('price', '')).replace('$', '').replace(',', '')
try:
price_num = float(price_val)
except ValueError:
continue
key = f'{product}_amazon'
if key in history:
prev = history[key]['price']
if abs(price_num - prev) > 0.01:
pct = (price_num - prev) / prev * 100
direction = 'UP' if price_num > prev else 'DOWN'
changes.append({
'product': product, 'prev': prev, 'current': price_num,
'change_pct': pct, 'direction': direction
})
history[key] = {'price': price_num, 'date': today, 'title': top_price['title']}
with open(history_file, 'w') as f:
json.dump(history, f, indent=2)
if changes:
print(f'\n=== Price Changes Detected ===')
for c in changes:
print(f' [{c["direction"]:4}] {c["product"]}: ${c["prev"]:.2f} -> ${c["current"]:.2f} ({c["change_pct"]:+.1f}%)')
else:
print(f'\nNo price changes detected (or first scan).')
return changes
track_price_changes(PRODUCTS)Étape 3: Générer un rapport de comparaison des prix
Créer une comparaison des prix multiplateforme pour chaque produit.
Python
def price_comparison_report(products):
print(f'\n=== Cross-Platform Price Report - {datetime.now().strftime("%Y-%m-%d")} ===')
for product in products:
print(f'\n {product.upper()}')
all_prices = []
for platform in [None, 'amazon', 'walmart']:
prices = get_prices(product, platform)
all_prices.extend(prices)
# Sort by price
for p in all_prices:
try:
p['price_num'] = float(str(p['price']).replace('$', '').replace(',', ''))
except (ValueError, TypeError):
p['price_num'] = 999
all_prices.sort(key=lambda x: x['price_num'])
for p in all_prices[:5]:
print(f' ${p["price_num"]:8.2f} | {p["platform"]:8} | {p["title"][:35]}')
if len(all_prices) >= 2:
spread = all_prices[-1]['price_num'] - all_prices[0]['price_num']
print(f' Price spread: ${spread:.2f}')
total_queries = len(products) * 3
print(f'\n Total cost: ${total_queries * 0.005:.3f} ({total_queries} queries)')
price_comparison_report(PRODUCTS)Exemple Python
Python
import os, requests
SH = {'x-api-key': os.environ['SCAVIO_API_KEY'], 'Content-Type': 'application/json'}
def check_price(product, platform='amazon'):
data = requests.post('https://api.scavio.dev/api/v1/search',
headers=SH, json={'query': product, 'platform': platform, 'country_code': 'us'}).json()
results = data.get('organic_results', [])[:3]
for r in results:
print(f' {r.get("price", "N/A")} - {r.get("title", "")[:40]}')
check_price('wireless earbuds')
print('Cost: $0.005')Exemple JavaScript
JavaScript
const SH = { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' };
const data = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: SH,
body: JSON.stringify({ query: 'wireless earbuds', platform: 'amazon', country_code: 'us' })
}).then(r => r.json());
(data.organic_results || []).slice(0, 3).forEach(r =>
console.log(`${r.price || 'N/A'} - ${(r.title || '').slice(0, 40)}`));Sortie attendue
JSON
wireless earbuds:
[google ] 5 listings, lowest: $14.99 - JBL Tune Buds Wireless Earbuds
[amazon ] 5 listings, lowest: $17.99 - Samsung Galaxy Buds FE
[walmart ] 5 listings, lowest: $12.88 - onn. TWS Earbuds
Cost: $0.045
=== Cross-Platform Price Report ===
WIRELESS EARBUDS
$ 12.88 | walmart | onn. TWS Earbuds
$ 14.99 | google | JBL Tune Buds Wireless Earbuds
$ 17.99 | amazon | Samsung Galaxy Buds FE
Price spread: $15.11