Resale Arbitrage Monitor

Find profitable resale opportunities by scraping eBay active listings and comparing them against recently sold prices. Get margin calculations, price analytics, and underpriced item alerts — all from publicly visible eBay search results.

What does Resale Arbitrage Monitor do?

Resale Arbitrage Monitor enables you to get more actionable pricing data from eBay than the official API — with built-in profit analysis.

Resale Arbitrage Monitor can scrape:

• Active eBay listing prices (buy-it-now and auction) for any product keyword
• Recently sold/completed eBay listing prices to establish real market value
• Profit margin calculations with estimated profit per item
• Shipping costs, item condition, and listing URLs from eBay search results

How margin is calculated

For each active eBay listing found for your keyword, the actor looks up recently completed (sold) eBay listings for the same keyword and calculates:

• activeTotalCost = active listing price + shipping
• avgSoldPrice = average price across recent completed sales
• estimatedProfit = avgSoldPrice − activeTotalCost
• marginPercent = (estimatedProfit / avgSoldPrice) × 100

A result only appears in the output if marginPercent is at or above your minMarginPercent threshold. The more recent sold listings exist for a keyword, the more reliable the margin estimate — numSold tells you how many completed sales were used.

Why scrape eBay?

eBay has over 130 million active buyers worldwide and is the largest marketplace for resale, collectibles, and secondhand goods. eBay sold listing data reveals real market prices that no other source provides.

Here are just some of the ways you could use that data:

• Find underpriced eBay inventory to flip for profit without hours of manual searching
• Spot deals on vintage sneakers, trading cards, and collectibles before other resellers
• Validate product margins with real eBay sold-price data before committing to inventory
• Analyze eBay price gaps and supply/demand dynamics across product niches
• Schedule daily eBay scans on trending keywords to catch arbitrage opportunities early

If you would like more inspiration, check out our industry pages.

How to scrape eBay

1. Click on Try for free.
2. Enter the product keywords you want to search on eBay (e.g., vintage nike shoes, pokemon cards holographic).
3. Click on Run.
4. When Resale Arbitrage Monitor has finished, preview or download your data from the Dataset tab.

How much will it cost to scrape eBay?

Apify gives you $5 free usage credits every month on the Apify Free plan. You can get roughly 2,500 eBay arbitrage results per month from Resale Arbitrage Monitor for that — the actor scrapes 2 pages per keyword and uses only 256 MB memory.

But if you need more, grab an Apify subscription. We recommend our $49/month Personal plan — you can get up to 25,000 eBay arbitrage results every month!

Or get 250,000+ eBay results for $499 with the Team plan!

Input parameters

Field	Type	Default	Description
keywords	string[]	(required)	Product keywords to search on eBay (e.g., ["vintage nike shoes", "pokemon cards"])
minPriceUsd	number	5	Minimum eBay listing price filter in USD
maxPriceUsd	number	5000	Maximum eBay listing price filter in USD
condition	string	"any"	Item condition: "new", "used", or "any"
minMarginPercent	number	20	Only report opportunities with at least this profit margin %
maxResults	integer	50	Maximum arbitrage results to return per keyword
category	string	—	Optional eBay category ID to narrow search results

Output / Results

Each result is an eBay arbitrage opportunity with full price analytics:

{
  "keyword": "vintage nike shoes",
  "activeTitle": "Nike Air Max 90 Vintage 2003 Size 10 OG Infrared",
  "activePrice": 45.00,
  "activeShipping": 8.99,
  "activeTotalCost": 53.99,
  "avgSoldPrice": 89.50,
  "medianSoldPrice": 85.00,
  "marginPercent": 57.44,
  "estimatedProfit": 31.01,
  "activeUrl": "https://www.ebay.com/itm/123456789",
  "numSold": 7,
  "soldPriceRange": {
    "low": 62.00,
    "high": 135.00
  }
}

Field	Type	Description
keyword	string	The search keyword this opportunity was found for
activeTitle	string	eBay listing title of the underpriced active item
activePrice	number	Current buy-it-now price of the active listing (USD)
activeShipping	number	Shipping cost for the active listing (0 if free shipping)
activeTotalCost	number	Total acquisition cost including shipping
avgSoldPrice	number	Average price of recently completed eBay sales
medianSoldPrice	number	Median sold price — less skewed by outliers than average
marginPercent	number	Estimated profit margin as a percentage after acquisition
estimatedProfit	number	Estimated profit in USD (avgSoldPrice minus activeTotalCost)
activeUrl	string	Direct link to the eBay listing
numSold	integer	Number of recently sold eBay listings used to calculate averages
soldPriceRange	object	Low and high sold prices from completed listings

Webhook Integration

Pass an optional webhookUrl in the input to receive a POST notification when the run finishes:

{
  "webhookUrl": "https://your-server.com/webhook"
}

Payload sent by Apify:

{
  "eventType": "ACTOR.RUN.SUCCEEDED",
  "eventData": { "actorId": "...", "actorRunId": "..." },
  "resource": { "id": "...", "status": "SUCCEEDED", "defaultDatasetId": "..." }
}

The webhook fires on SUCCEEDED, FAILED, TIMED_OUT, and ABORTED events. Use it to trigger downstream pipelines, Zapier, Make.com, or any HTTP endpoint.

FAQ

How often should I run this actor? Daily runs on your target keywords will catch the best deals before other resellers. eBay inventory turns over quickly — especially for trending items like sneakers, trading cards, and vintage electronics.

Why does margin shrink after I buy? eBay charges ~13% final value fee on the sale price. Factor that in: a 20% margin before fees becomes ~7% net. Set minMarginPercent to at least 30% for practical profitability.

Can I export results to a spreadsheet? Yes — click Export in the Apify Console dataset view and choose CSV or Excel format. You can also connect directly to Google Sheets using the Apify Google Sheets integration.

Tips for scraping eBay

• Start with broad keywords like "pokemon cards" — they surface more eBay arbitrage opportunities than hyper-specific queries.
• Set minMarginPercent to 30+ for safer flips — a 20% margin can evaporate after eBay fees (~13%) and shipping costs.
• Schedule daily runs on trending eBay product keywords to catch deals before other resellers.
• Use the condition filter to separate new vs used eBay markets — arbitrage dynamics differ significantly between them.

Is it legal to scrape eBay?

Note that personal data is protected by GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. This actor scrapes only publicly visible eBay search results that anyone can access in a browser. No API key, login, or authentication is required, and no private seller data is collected. We also recommend that you read our blog post: is web scraping legal?

Best product categories for eBay arbitrage

Category	Why it works
Vintage sneakers (Nike, Jordan, Adidas)	Strong sold-price floor, condition grades well-understood, frequent mis-listings
Trading cards (Pokemon, MTG, sports)	Graded vs ungraded arbitrage, rapid price swings create windows
Vintage electronics (Game Boys, cameras)	Non-expert sellers, clear demand from collectors
Brand-name tools (Milwaukee, DeWalt)	Consistent secondary market, high volume
Luxury accessories (Coach, Kate Spade)	Clear authentication markers, strong resale demand
Video games (PS3, Xbox 360 era)	Growing nostalgia premium, many new arrivals from estate sales

API example — Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("sleek_waveform/resale-arbitrage-monitor").call(run_input={
    "keywords": ["vintage nike shoes", "pokemon cards holographic"],
    "minPriceUsd": 15,
    "maxPriceUsd": 300,
    "condition": "used",
    "minMarginPercent": 30,
    "maxResults": 50
})

deals = client.dataset(run["defaultDatasetId"]).list_items().items
for deal in sorted(deals, key=lambda d: d["marginPercent"], reverse=True)[:10]:
    print(f"{deal['marginPercent']:.0f}% margin | ${deal['estimatedProfit']:.2f} profit | {deal['activeTitle'][:60]}")

Other sleek_waveform Actors you might like

• Shopify Product Scraper — extract full product catalogs from any Shopify store. Cross-reference Shopify retail prices with eBay sold prices to find arbitrage opportunities from retail to resale.
• Yelp Business Scraper — find local businesses (thrift stores, pawn shops, estate sale companies) in your city for sourcing inventory offline.
• Google Maps B2B Lead Scraper — build lists of local resale shops, auction houses, and liquidators in your area to find offline sourcing partners.

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