Made-in-China.com vs DHgate vs Yiwugo: Which Platform to Scrape for Wholesale Product Data

If you’re building tools for wholesale sourcing, price monitoring, or supplier discovery, you’ve probably wondered: which Chinese wholesale platform should I scrape?

The three biggest contenders — Made-in-China.com, DHgate.com, and Yiwugo.com — each serve different markets and offer different data. Let’s break down what matters for developers and data teams.

Platform Overview

Made-in-China.com

• Focus: B2B manufacturing and industrial products
• Strength: Heavy machinery, raw materials, industrial components
• Buyer type: Factory buyers, procurement teams, importers
• Listing style: Detailed product specs with MOQ (Minimum Order Quantity)

DHgate.com

• Focus: B2B2C cross-border e-commerce
• Strength: Consumer electronics, fashion, accessories, dropshipping-friendly
• Buyer type: Dropshippers, small retailers, individual buyers
• Listing style: Retail-style with single-piece ordering

Yiwugo.com

• Focus: Yiwu International Trade City (world’s largest small commodities market)
• Strength: Small commodities, daily necessities, gifts, toys, accessories
• Buyer type: Wholesale buyers, market traders, small business owners
• Listing style: Market booth-based with physical location data

Data Comparison

Technical Scraping Comparison

Made-in-China.com

Architecture: Server-side rendered HTML
Anti-bot: Cloudflare + rate limiting
Rendering: No JS required for basic data
Challenge: IP-based rate limiting, occasional CAPTCHAs

Pros: Clean HTucture, no JS rendering needed, detailed structured specs.
Cons: Aggressive rate limiting, some data requires login, Cloudflare protection.

DHgate.com

Architecture: Server-side rendered + dynamic loading
Anti-bot: Cloudflare + behavioral analysis
Rendering: Some sections need JS
Challenge: Price data sometimes loaded dynamically

Pros: Huge catalog (30M+), rich data per product (reviews, ratings, order count).
Cons: More aggressive anti-bot, some data requires JS rendering.

Yiwugo.com

Architecture: Traditional server-rendered pages
Anti-bot: Basic rate limiting
Rendering: No JS required
Challenge: Chinese-language interface

Pros: Simplest to scrape, unique booth location data, true wholesale pricing.
Cons: Smaller catalog, primarily Chinese language.

Which Platform Should You Scrape?

Choose Made-in-China.com if:

• You need industrial/manufacturing product data
• Your users are B2B procurement teams
• You need detailed product specifications

Choose DHgate if:

• You’re building dropshipping or retail arbitrage tools
• You need consumer product data with reviews
• Your users buy in small quantities (1-100 pieces)

Choose Yiwugo if:

• You’re focused on small commodities and daily goods
• You need true wholesale pricing (not retail markup)
• Physical market data (booth numbers) matters

Using Multiple Platforms Together

The real power comes from combining data across platforms:

def compare_prices(keyword):
    # Get wholesale prices from Yiwugo
    yiwugo_data = run_yiwugo_scraper(keyword)

    # Get retail/dropship prices from DHgate
    dhgate_data = run_dhgate_scraper(keyword)

    # Find arbitrage opportunities
    opportunities = []
    for yp in yiwugo_data:
        for dp in dhgate_data:
            if similar_products(yp, dp):
                margin = dp['price'] - yp['price']
                if margin > 0:
                    opportunities.append({
                        'product': yp['title'],
                        'wholesale': yp['price'],
                        'retaile'],
                        'margin_pct': f"{(margin/dp['price'])*100:.1f}%"
                    })

    return sorted(opportunities, key=lambda x: x['margin_pct'], reverse=True)

Available Scraping Tools

Ready-to-use scrapers on Apify Store:

• Yiwugo Scraper — Extract product data, prices, and supplier info from Yiwugo.com
• DHgate Scraper — Extract product listings, prices, ratings, and seller data from DHgate.comupport keyword search, return structured JSON/CSV, and can be scheduled for automated collection.

Conclusion

Start with the platform that matches your primary use case, then expand as your data needs grow.

Related:

• How to Scrape Yiwugo.com for Wholesale Product Data
• How to Scrape DHgate.com for Wholesale Product Data
• How to Build a China Wholesale Price Tracker
• Scraping Chinese E-commerce Sites: Challenges and Solutions