eBay Deal Finder - Automated Profit Opportunity Scanner

Find underpriced eBay listings automatically by comparing active vs sold prices, detecting auction snipes, and identifying hidden gems. Built for resellers, flippers, and arbitrage pros.

What does this scraper do?

• Compare active vs sold prices - Find listings priced below recent sold prices
• Detect auction snipes - Auctions ending soon with few bids and off-peak timing
• Find high-watcher opportunities - Many watchers but low competition
• Condition arbitrage - NEW items priced at USED prices
• Hidden gem detection - Poor listing photos that hide value (opt-in)
• Track price drops - Avoid duplicate alerts, detect price changes (scheduled runs)
• Multi-locale support - US, UK, and Germany eBay sites

Use Cases

• Resellers & Flippers: Automatically find underpriced electronics, watches, sneakers to flip for profit
• E-commerce Arbitrage: Source inventory from eBay for Amazon FBA, Poshmark, Mercari
• Auction Sniping: Get alerts for auctions ending soon with low bids
• Price Monitoring: Track competitor pricing, detect market trends
• Deal Alerts: Automated notifications when profitable opportunities appear
• Automation: Feed deals to n8n, Zapier, Make.com for auto-alerts and spreadsheets

Input

Field	Type	Description	Default
searchQuery	String	What to search for (e.g., "iphone 13 pro", "rolex submariner")	Required
locale	Dropdown	eBay marketplace (US, UK, DE)	US
minProfitAmount	Number	Minimum dollar profit to show	$20
minProfitPercent	Number	Minimum profit margin %	20%
maxActiveListings	Number	Active listings to analyze (10-200)	50
maxSoldListings	Number	Sold listings for comparison (10-200)	50
dealTypes	JSON	Enable/disable deal strategies	All enabled
auctionEndingWithinHours	Number	Auction window for sniping (1-168)	24 hours
maxBidCount	Number	Max bids for auction sniping	5
trackPriceHistory	Boolean	Skip seen deals, detect price drops	true

Output

Each deal includes profit analysis and actionable recommendations:

{
  "dealType": "sold_vs_active",
  "dealScore": 87,
  "profitPotential": 45,
  "profitPercent": 30,

  "productId": "123456789",
  "title": "Apple iPhone 13 Pro 256GB Unlocked",
  "url": "https://www.ebay.com/itm/123456789",
  "currentPrice": 150,
  "condition": "Used - Good",
  "images": ["https://..."],

  "dealReason": "Price $150 vs median sold $230 (35% below market)",
  "recommendation": "BUY NOW - Strong profit potential",
  "nextSteps": "Buy for $150, sell for $230, profit $45 after fees",

  "comparableCount": 8,
  "confidence": "high",
  "changeType": "NEW",
  "scrapedAt": "2024-12-10T12:00:00.000Z"
}

Deal Types Explained

Deal Type	Description	When It Triggers
sold_vs_active	Active price significantly below sold prices	Price < 85% of median sold
auction_sniping	Auctions ending soon with opportunity	Low bids + ending within X hours
high_watchers_low_action	Many watchers but few bids	High watcher:bid ratio
condition_arbitrage	NEW items at USED prices	New condition priced like used
poor_quality	Poor photos hiding value (opt-in)	Blurry/low-res images detected

Deal Scoring (0-100)

• 80-100: Excellent opportunity - act fast
• 60-79: Strong deal - worth pursuing
• 40-59: Good potential - research further
• Below 40: Marginal - proceed with caution

How It Works

1. Scrape active listings - Extracts current eBay listings matching your search
2. Fetch sold comparables - Gets recently sold items for price comparison
3. Fuzzy matching - Multi-algorithm matching handles eBay's SEO-spam titles
4. Category detection - Applies category-specific profit thresholds (electronics vs collectibles)
5. Analyze deals - Runs 5 detection strategies in parallel
6. Deduplicate - Keeps best deal per item, skips already-seen items
7. Output results - Flat JSON ready for spreadsheets and automation

Category-Specific Thresholds

The actor automatically detects product categories and applies appropriate thresholds:

Category	Min Profit	Min Margin	Why
Electronics	$15	20%	Fast-moving, lower margins OK
Collectibles	$30	50%	High risk, need higher margins
Fashion	$10	25%	Volume play, quick flips
Luxury	$50	30%	High-value items
General	$20	20%	Default

Example: Finding iPhone Deals

Input:

{
  "searchQuery": "iphone 13 pro",
  "locale": "US",
  "minProfitAmount": 20,
  "minProfitPercent": 15,
  "maxActiveListings": 50,
  "maxSoldListings": 50,
  "dealTypes": {
    "soldVsActive": true,
    "auctionSniping": true,
    "highWatchersLowPrice": true,
    "newAtUsedPrices": true
  }
}

Output: 7 deals found including auction ending in 4 hours at $155 (market value $230) with only 2 bids.

Integration with Automation Tools

Google Sheets

Export as CSV, import to Google Sheets for tracking, sorting by profit margin, building dashboards.

n8n / Make.com

1. Trigger: Schedule (hourly/daily)
2. Action: Run Apify Actor
3. Filter: dealScore > 70
4. Action: Send to Telegram/Slack/Email

Zapier

1. Trigger: New dataset items (Apify integration)
2. Filter: profitPercent > 25%
3. Action: Add to Airtable, send SMS alert

Excel / Power BI

Flat JSON structure imports directly for analysis and reporting.

Pricing

This actor uses pay-per-event pricing - you only pay for deals found, not listings scraped.

Plan	Price per Deal	Best For
Standard	$0.015	Regular use
With Discount	$0.012	High-volume users

Platform costs: Residential proxies required (~$8-12/GB). A typical 50-listing run uses 0.05 GB ($0.50).

FAQ

Q: Does this require an eBay account? A: No - scrapes publicly visible listings. No login required.

Q: How accurate is the profit estimation? A: Compares against 10-50+ recently sold comparable items. Accuracy depends on search specificity - specific models (iPhone 13 Pro 256GB) are more accurate than generic searches.

Q: Can I use this for n8n, Zapier, Make.com? A: Yes - flat JSON output designed for automation tools. No nested structures to parse.

Q: How do I avoid duplicate alerts? A: Enable "Track Price History" (on by default). The actor remembers seen deals across runs.

Q: What locales are supported? A: US (ebay.com), UK (ebay.co.uk), Germany (ebay.de). More coming soon.

Q: Why do I need residential proxies? A: eBay blocks datacenter IPs aggressively. Residential proxies are required for reliable scraping.

Q: Can I schedule this to run automatically? A: Yes - use Apify Scheduler to run hourly/daily and get deal alerts via webhook.

Q: What if no deals are found? A: Try: broader search terms, lower profit thresholds, more listings to analyze, or different time of day.

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Legal Disclaimer / Rechtlicher Hinweis

EN: This actor is a general-purpose tool for analyzing publicly accessible web data. The user bears sole responsibility for ensuring their specific use complies with:

• Applicable laws (GDPR/DSGVO, copyright law)
• The target website's Terms of Service
• Apify's Terms of Service

The provider (barrierefix) expressly disclaims liability for any unauthorized or unlawful use. By using this actor, the user agrees to indemnify the provider against any third-party claims arising from their use of the data.

DE: Dieser Actor ist ein allgemeines Werkzeug zur Analyse öffentlich zugänglicher Webdaten. Der Nutzer trägt die alleinige Verantwortung dafür, dass seine spezifische Nutzung den geltenden Gesetzen (DSGVO, Urheberrecht), den Nutzungsbedingungen der Zielwebsite und den Apify-Nutzungsbedingungen entspricht.

Der Anbieter (barrierefix) schließt jegliche Haftung für unbefugte oder rechtswidrige Nutzung ausdrücklich aus. Mit der Nutzung dieses Actors erklärt sich der Nutzer bereit, den Anbieter von allen Ansprüchen Dritter freizustellen, die aus seiner Datennutzung entstehen.

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This tool is not affiliated with eBay. All trademarks belong to their respective owners.

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Keywords

eBay scraper, eBay deal finder, eBay arbitrage, eBay flipping tool, eBay price comparison, sold vs active price, auction sniping tool, eBay reseller tool, eBay profit calculator, underpriced listings finder, eBay automation, eBay API alternative, reselling software, flipping deals, e-commerce arbitrage, n8n eBay integration, Zapier eBay automation

Support

Questions or feature requests? Contact via Apify Console or open a GitHub issue.