eBay Search
SkillSearchSearch eBay listings - find items, auctions, deals, and compare prices
Use eBay Search in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add eBay Search and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the eBay Search skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by gooseworks-ai/goose-skills in skills/research-tools/capabilities/ebay-search/SKILL.md and read by ahel’s review.
Setup
Read your credentials from ~/.gooseworks/credentials.json:
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")
If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login
All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"
Search eBay for products, auctions, and deals.
When to Use
- User wants to find items on eBay
- User asks about auctions
- User wants to compare prices on eBay
- User looking for used or vintage items
How It Works
Uses the SearchAPI eBay Search engine to query eBay listings.
Usage
Basic Search
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"ebay_search","q":"vintage watch"}}'
curl -X POST "https://api.orth.sh/v1/run" \
-H "Content-Type: application/json" \
-d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"ebay_search","q":"vintage watch"}}'
Parameters
- engine (required) - Must be
ebay_search - q (required) - Search query
- page - Page number for pagination
Response
Top-level keys: search_metadata, search_parameters, search_information, categories, organic_results, related_searches, pagination.
search_information: total_results (integer), query_displayed, sorted_by.
Each item in organic_results array:
- position (integer) - Result rank
- item_id (string) - eBay item ID
- title (string) - Listing title
- link (string) - Listing page URL
- condition (string) - "Brand New", "Pre-Owned", "Refurbished", etc.
- price (string) - Display price (e.g., "$199.99")
- extracted_price (number) - Numeric price for comparison
- original_price / extracted_original_price - Pre-discount price (if discounted)
- shipping (string) - Shipping cost text (e.g., "Free delivery")
- extracted_shipping (number) - Numeric shipping cost
- buying_format (string) - "Buy It Now", "or Best Offer", or bid info with time left
- rating (number) - Seller rating (if available)
- reviews (integer) - Review count (if available)
- extensions (array) - Tags like brand, material, location, "Free returns", "Last one"
- thumbnail (string) - Image URL
- tag (string) - Special badges like "NEW LOW PRICE" (if applicable)
Pagination: Use page=2, page=3, etc. for more results. Response includes pagination.next URL.
Examples
User: "Find vintage watches on eBay"
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"ebay_search","q":"vintage watch"}}'
User: "Search eBay for retro gaming consoles"
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"ebay_search","q":"retro gaming console"}}'
User: "Find rare vinyl records"
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"ebay_search","q":"rare vinyl records"}}'
Error Handling
- 400 - Invalid engine name or missing
qparameter - 401 - Invalid API key
- 429 - Rate limit — wait and retry
- Empty
organic_resultsmeans no listings found — try broader terms - Use separate
-qflags if&in query string causes issues:-q 'engine=ebay_search' -q 'q=vintage watch'
Signals
- GitHub stars
- 1k
- Forks
- 211
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
ebay-search- Source
- github.com/gooseworks-ai/goose-skills
github.com/gooseworks-ai/goose-skills