Skill: Amazon Product Search & Recommender

Purpose

Search Amazon for products matching user criteria (budget, material, color, etc.), extract detailed product information, and output structured recommendations in JSON format.

Core Workflow

1. Parse Request: Identify the product category, budget, material, color, and any other specific constraints from the user's request.
2. Navigate & Search: Go to

   https://www.amazon.com

   , locate the main search box, and perform a search using a constructed query (e.g., "black leather sofa under 400").
3. Browse Results: Navigate through the search results page to find relevant product listings.
4. Extract Details: For each selected product, click into its detail page to gather accurate information:
   • Canonical URL: The full product page URL.
   • Title: The complete product title.
   • Price: The current selling price (prioritize Prime/sale price if shown).
   • Store/Brand Name: The brand or store name (e.g., from "Visit the [Brand] Store" link).
5. Compile & Output: Format the extracted data into a JSON array matching the required schema and write it to the specified output file (e.g.,

   recommend.json

   ).

Key Instructions & Best Practices

• Search Query: Construct the search query by combining key attributes from the user request (color, material, product type, budget hint).
• Element Identification: Use the

  browser_snapshot_search

  tool with patterns like

  "searchbox"

  or

  "Search Amazon"

  to reliably locate the search input field. Avoid interacting with dropdowns or other elements near the search bar.
• Result Navigation: Use

  browser_snapshot_navigate_to_span

  and

  browser_snapshot_search

  (e.g., for

  "price"

  ,

  "$"

  , product brand names) to move through the search results and identify product links and their details.
• Data Accuracy: Always navigate to the product detail page (

  browser_click

  on product link) to capture the definitive

  canonical_url

  ,

  title

  ,

  price

  , and

  store_name

  . Do not rely solely on snippet data from search results.
• Price Extraction: On the product page, search for price-related patterns (

  "\\$"

  ,

  "price"

  ). The price is often found near elements like "Prime Member Price" or within the buy box. Extract only the numerical price (e.g., "287.99"), not currency symbols or additional text.
• Store/Brand Extraction: Look for a link containing "Visit the ... Store" on the product page. The text between "Visit the " and " Store" is typically the

  store_name

  .
• Error Handling: If an action fails (e.g., clicking an element), use snapshot search and navigation tools to re-orient and find the correct element reference.
• Task Completion: After writing the final JSON file, read it back to verify its contents and call

  local-claim_done

  .

Output Schema

The final output must be a JSON file (e.g.,

recommend.json

) containing an array of objects. Each object must have a

product_info

key containing: