eBay Data Scraping Services

Extract comprehensive product listings, auction data, seller information, and marketplace intelligence from eBay’s global marketplace. Access both auction-style and fixed-price listings across all categories.

What We Extract from eBay

Product & Listing Data

• Item Details: Titles, descriptions, item numbers, category, brand, condition (new, used, refurbished)
• Pricing Data: Current price, buy-it-now price, starting bid, reserve price status
• Auction Information: Current bid, bid count, time remaining, auction end time, bid history
• Images & Media: All product images, gallery images, item specifics photos
• Item Specifics: Brand, model, size, color, material, condition details, custom attributes

Seller Information

• Seller Profile: Username, seller ID, member since date, location
• Seller Metrics: Feedback score, positive feedback percentage, transaction count
• Seller Performance: Top-rated seller status, shipping performance, return policy
• Seller Listings: Active listings count, sold items, store information

Pricing & Competition

• Price History: Sold item prices, historical pricing trends
• Comparable Listings: Similar items currently listed, recently sold items
• Shipping Costs: Domestic and international shipping fees, handling time
• Payment Options: Accepted payment methods, return policies

Transaction Data

• Sales History: Recently sold items, sold prices, sale dates
• Bid History: Bidder details, bid amounts, bid times
• Completed Auctions: Final sale prices, number of bidders
• Buy It Now Sales: Fixed-price sales data, quantity sold

Search & Discovery

• Search Results: Product listings by keyword, category, seller
• Category Browsing: Browse by category hierarchy, trending items
• Best Match: eBay’s search algorithm rankings
• Sponsored Listings: Promoted listings identification

API Endpoints

GET /api/v1/ebay/item/{item_id}
GET /api/v1/ebay/search?q={query}&category={cat}
GET /api/v1/ebay/seller/{seller_id}
GET /api/v1/ebay/completed-sales?q={query}
GET /api/v1/ebay/price-history/{item_id}
GET /api/v1/ebay/category/{category_id}
GET /api/v1/ebay/trending/{category}
GET /api/v1/ebay/watchlist-count/{item_id}

Use Cases

For Resellers & Arbitrage

• Price Research: Find profitable items, compare sold prices vs current listings
• Market Analysis: Identify trending products, seasonal demand patterns
• Competitor Monitoring: Track competitor listings, pricing strategies
• Inventory Sourcing: Find wholesale lots, bulk purchases, liquidation items

For Sellers & Drop-shippers

• Competitive Pricing: Monitor competitor prices, optimize your listings
• Market Intelligence: Identify hot-selling items, avoid saturated markets
• Listing Optimization: Analyze successful listings, improve titles and descriptions
• Sales Velocity: Track how quickly items sell, optimize pricing strategy

For Collectors & Enthusiasts

• Price Tracking: Monitor rare item prices, identify good deals
• Market Trends: Track collectible values, investment opportunities
• Seller Reputation: Research seller feedback before purchasing
• Availability Alerts: Get notified when specific items are listed

Geographic Coverage

• Primary Markets: USA (eBay.com), UK (eBay.co.uk), Germany (eBay.de), Australia (eBay.com.au)
• Additional Markets: Canada, France, Italy, Spain, India, 20+ countries
• Cross-border: International shipping data, currency conversion
• Global Search: Search across multiple eBay sites simultaneously

Technical Specifications

Data Freshness

• Active Listings: Real-time updates every 5 minutes
• Auction Status: Real-time bid updates
• Completed Sales: Updated within 1 hour of sale
• Seller Metrics: Daily updates

Performance

• Response Time: <200ms average
• Rate Limits: 150 requests/second (Enterprise)
• Uptime: 99.9% SLA
• Data Formats: JSON, CSV, XML

Code Examples

Python - Track Auction Bids

import nextract

client = nextract.Client(api_key='your_api_key')

# Monitor auction in real-time
auction = client.ebay.get_item('123456789012')
print(f"Current Bid: ${auction['current_bid']}")
print(f"Bid Count: {auction['bid_count']}")
print(f"Time Remaining: {auction['time_left']}")

# Get bid history
bid_history = client.ebay.get_bid_history('123456789012')
for bid in bid_history:
    print(f"{bid['bidder']}: ${bid['amount']} at {bid['time']}")

Node.js - Find Profitable Items

const Nextract = require('nextract');
const client = new Nextract.Client('your_api_key');

// Search for items and get sold prices
const listings = await client.ebay.search({
  query: 'vintage camera',
  condition: 'used',
  min_price: 50,
  max_price: 500
});

// Compare with completed sales
for (const item of listings) {
  const soldPrices = await client.ebay.getCompletedSales({
    query: item.title,
    days: 90
  });
  
  const avgSoldPrice = soldPrices.reduce((sum, s) => sum + s.price, 0) / soldPrices.length;
  const potentialProfit = avgSoldPrice - item.current_price;
  
  if (potentialProfit > 50) {
    console.log(`Opportunity: ${item.title}`);
    console.log(`Current: $${item.current_price}, Avg Sold: $${avgSoldPrice.toFixed(2)}`);
  }
}

cURL - Seller Analysis

curl -X GET "https://api.nextract.dev/v1/ebay/seller/seller_username" \
  -H "X-API-Key: your_api_key"

Data Quality

• Accuracy: 99.8% data accuracy for active listings
• Completeness: All public fields captured including hidden bid history
• Real-time: Auction data updated in real-time
• Historical: Access to 90+ days of completed sales data