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PythonReactSEOPDF
GitHub Skill

shopping-expert

Find and compare products online (Google Shopping) and locally (stores near you). Auto-selects best products based on price, ratings, availability, and preferences. Generates shopping list with buy links and store locations. Use when asked to shop for products, find best deals, compare prices, or locate items locally. Supports budget constraints (low/medium/high or "$X"), preference filtering (brand, features, color), and dual-mode search (online + local stores).

clawdbot☆ 230 Repository stars71 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

Shopping Expert

Find and compare products online and locally with smart recommendations.

Quick Start

Find products online:

uv run {baseDir}/scripts/shop.py "coffee maker" \
  --budget medium \
  --max-results 5

Search with budget constraint:

uv run {baseDir}/scripts/shop.py "running shoes" \
  --budget "$100" \
  --preferences "Nike, cushioned, waterproof"

Find local stores:

uv run {baseDir}/scripts/shop.py "Bio Gemüse" \
  --mode local \
  --location "Hamburg, Germany"

Hybrid search (online + local):

uv run {baseDir}/scripts/shop.py "Spiegelreflexkamera" \
  --mode hybrid \
  --location "München, Germany" \
  --budget high \
  --preferences "Canon, 4K Video"

Search US stores:

uv run {baseDir}/scripts/shop.py "running shoes" \
  --country us \
  --budget "$100"

Search Modes

  • online: E-commerce sites (Amazon, Walmart, etc.) via Google Shopping
  • local: Nearby stores via Google Places API
  • hybrid: Both online and local results merged and ranked
  • auto: Intelligent mode selection based on query (default)

Parameters

  • query: Product search query (required)
  • --mode: Search mode (online|local|hybrid|auto, default: auto)
  • --budget: "low/medium/high" or "€X"/"$X" amount (default: medium)
  • --location: Location for local/hybrid searches
  • --preferences: Comma-separated (e.g., "brand:Sony, wireless, black")
  • --max-results: Maximum products to return (default: 5, max: 20)
  • --sort-by: Sort order (relevance|price-low|price-high|rating)
  • --output: text|json (default: text)
  • --country: Country code for search (default: de). Use "us" for US, "uk" for UK, etc.

Budget Levels

  • low: Under €50
  • medium: €50-€150
  • high: Over €150
  • exact: "€75", "€250" (or "$X" for US searches)

Output Format

Default (text): Markdown table with product details, ratings, availability, and buy links

JSON: Structured data with all product metadata, scores, and links

Scoring Algorithm

Products are ranked using weighted scoring:

  • Price match (30%): Within budget range gets full points
  • Rating (25%): Higher ratings score better
  • Availability (20%): In stock > limited > out of stock
  • Review count (15%): More reviews = more trustworthy
  • Shipping/Distance (10%): Free shipping or nearby stores score higher
  • Preference match (bonus): Keywords in product description

API Keys Required

  • SERPAPI_API_KEY: Required for online shopping (all modes except local-only)
  • GOOGLE_PLACES_API_KEY: Only required for local and hybrid modes

Limitations

  • API limits: SerpAPI and Google Places have usage quotas
  • Real-time data: Prices and availability may change
  • Stock accuracy: Online availability reflects last API update
  • Local inventory: Store stock not guaranteed via Places API

Error Handling

  • Invalid query → Returns error with suggestions
  • No results found → Relaxes filters and retries
  • API failures → Retry with exponential backoff (3 attempts)
  • Missing API keys → Clear error message with setup instructions

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-01-30
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

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