🛒 Shopping Expert OpenClaw Skill - ClawHub
Do you want your AI agent to automate Shopping Expert workflows? This free skill from ClawHub helps with shopping & e-commerce tasks without building custom tools from scratch.
What this skill does
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 "$X"), preference filtering (brand, features, color), and dual-mode search (online + local stores).
Install
npx clawhub@latest install shopping-expertFull SKILL.md
Open original| name | description | homepage |
|---|---|---|
| shopping-expert | Find and compare products online (Google Shopping) and locally (stores near you). Auto-selects best products based on price, ratings, availability, and preferences. Generates shopping list with buy links and store locations. Use when asked to shop for products, find best deals, compare prices, or locate items locally. Supports budget constraints (low/medium/high or "$X"), preference filtering (brand, features, color), and dual-mode search (online + local stores). | https://github.com/clawdbot/clawdbot |
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