---

name: pricing-tracker description: "Tracks current pricing and availability across multiple retailers with price comparison. Use when user asks about 'price', 'how much', 'where to buy', 'pricing comparison', 'best deal', 'availability', or when orchestrator needs current market pricing data. Checks Amazon and category-specific retailers."

Pricing Tracker

Mission

Collecter prix actuel et disponibilité depuis multiples retailers (Amazon, sites spécialisés selon catégorie).

Outils de Scraping

Priorité 1: MCP Apify (Recommandé)

Priorité 2: Fallback

Avantages MCP Apify:

• Amazon: Prix exact, stock, shipping en JSON structuré
• RAG Browser: Recherche + extraction prix en une seule requête

Quick Summary

1. Amazon: MCP apify/amazon-product-scraper (ou WebFetch fallback)
2. Autres retailers: MCP rag-web-browser (ou WebFetch fallback)
3. Extract: prix, disponibilité, shipping, promos actives
4. Save comparison table JSON + cache 7j

Inputs

• product_name: Nom produit
• category: Catégorie (pour sélectionner retailers appropriés)
• amazon_url: URL Amazon (optionnel)

Outputs

• pricing.json: Tableau prix par retailer
• Cache 7j

Dependencies

• data/category_specs.yaml (retailers par catégorie)
• Load helpers/retailers.yaml when scraping for patterns

Workflow

1. Load retailers

Copyretailers = category_specs.yaml[category].retailers
// Example velo: ["decathlon.fr", "alltricks.fr", "probikeshop.fr"]

2. Scrape Amazon (if in retailers)

Copy**PRIMARY: MCP Apify**
mcp__apify__call-actor({
  actor: "apify/amazon-product-scraper",
  step: "call",
  input: {
    categoryOrProductUrls: [amazon_url],
    maxItems: 1
  }
})

mcp__apify__get-actor-output({
  datasetId: result.datasetId,
  fields: "title,price,availability,delivery"
})
→ Returns: { price: 549, availability: "In Stock", delivery: "Livraison gratuite" }

**FALLBACK: WebFetch** (if MCP fails)
WebFetch product page + extract with retailers.yaml selectors

3. Scrape other retailers (2-3)

CopyFor each retailer:
  query = "{product_name} prix site:{retailer}"

  **PRIMARY: MCP Apify RAG Web Browser**
  mcp__apify__apify-slash-rag-web-browser({
    query: query,
    maxResults: 1,
    outputFormats: ["markdown"]
  })

  Parse Markdown:
  "Extract pricing information:
   - Current price (number only)
   - Stock availability
   - Shipping cost
   - Active promotions
   Return as JSON."

  **FALLBACK: WebFetch**
  WebFetch product page + extract with retailers.yaml selectors

4. Build comparison table

Copy{
  "product": product_name,
  "timestamp": now,
  "retailers": [
    {
      "name": "Amazon",
      "price": 549,
      "availability": "in_stock",
      "shipping": "Gratuit",
      "promo": null
    },
    {
      "name": "Decathlon",
      "price": 549,
      "availability": "in_stock",
      "shipping": "Gratuit en magasin",
      "promo": "-10% membres"
    }
  ],
  "best_price": 494.10,  // Decathlon with promo
  "best_retailer": "Decathlon"
}

5. Save + cache

• Save: data/research_{timestamp}/{product}/pricing.json
• Cache: data/cache/pricing/{cache_key}.json (7j TTL)

Error Handling

• Retailer unavailable → Skip, continue with others
• Price not found → Mark as "N/A"
• Out of stock → Mark availability = false
• MCP timeout → Fallback to WebFetch automatically