Billiger.de Price Comparison Scraper

Extract product prices and shop offers from Billiger.de, Germany's largest price comparison platform with 100M+ offers across all categories.

What does this actor do?

• Search products by keyword across all 5,000+ categories
• Compare prices from 22,500+ online shops
• Track best offers with shipping costs and availability
• Monitor price ranges across multiple retailers
• Extract ratings and review counts

Why Billiger.de?

• Broader coverage than tech-only competitors like Geizhals
• 100M+ product offers across all categories (electronics, fashion, home, sports, etc.)
• 2M+ monthly users - Germany's trusted price comparison platform
• Real-time pricing from authorized retailers

Use cases

• E-commerce: Track competitor pricing strategies
• Price monitoring: Set up scheduled runs to track price changes over time
• Market research: Analyze pricing patterns across categories
• Automation: Feed data to n8n, Zapier, Make for automated workflows
• Inventory planning: Monitor availability across multiple shops
• Competitor analysis: Track which shops offer best prices

Input

Field	Type	Description	Default
query	String	Product keyword to search for (e.g., "iPhone 15", "laptop")	-
categoryUrl	Array	Direct URLs to Billiger.de category pages	[]
productUrls	Array	Direct URLs to specific product comparison pages	[]
maxItems	Number	Maximum number of products to scrape (1-10,000)	100
minShops	Number	Only include products offered by at least N shops	-
priceMin	Number	Minimum price filter (EUR)	-
priceMax	Number	Maximum price filter (EUR)	-
useProxies	Boolean	Enable Apify proxies (recommended)	true
proxyType	Enum	Proxy type: "SHADER" (datacenter) or "RESIDENTIAL"	SHADER

Output

Each product contains:

Field	Type	Description
productId	String	Unique Billiger.de product ID
productName	String	Full product name
productUrl	String	URL to comparison page
category	String	Product category
currentPrice	Number	Best price found (EUR)
currency	String	"EUR"
shopName	String	Shop offering best price
shopUrl	String	Link to shop's product page
availability	String	Stock status
shippingCost	Number/null	Shipping cost from best shop
shopCount	Number	Total shops offering this product
priceRange	Object	{ min, max } prices across all shops
rating	Number/null	Average rating (0-5)
reviewCount	Number/null	Number of reviews
imageUrl	String	Product image URL
scrapedAt	String	ISO 8601 timestamp

Example output

{
  "productId": "2468780",
  "productName": "Apple iPhone 15 Pro 128GB",
  "productUrl": "https://www.billiger.de/baseproducts/2468780-apple-iphone-15-pro",
  "category": "Smartphones",
  "currentPrice": 1099.00,
  "originalPrice": null,
  "discount": null,
  "currency": "EUR",
  "shopName": "MediaMarkt",
  "shopUrl": "https://www.billiger.de/shop/mediamarkt",
  "availability": "Auf Lager",
  "shippingCost": 0,
  "shopCount": 23,
  "priceRange": {
    "min": 1099.00,
    "max": 1249.00
  },
  "rating": 4.7,
  "reviewCount": 1523,
  "imageUrl": "https://cdn.billiger.de/...",
  "scrapedAt": "2024-10-23T21:30:00.000Z"
}

Pricing

Pay-per-result model:

• $0.002 - $0.004 per product scraped
• Example: 100 products = $0.20 - $0.40
• Transparent pricing based on actual results

Cost factors:

• Datacenter proxies (SHADER): Lower cost
• Residential proxies: Higher reliability for large runs

How to use

1. Simple keyword search

{
  "query": "laptop gaming",
  "maxItems": 50
}

2. Price range filter

{
  "query": "bluetooth headphones",
  "maxItems": 100,
  "priceMin": 50,
  "priceMax": 200
}

3. Category scraping

{
  "categoryUrl": [
    "https://www.billiger.de/kategorie/smartphones"
  ],
  "maxItems": 200,
  "minShops": 5
}

4. Direct product URLs

{
  "productUrls": [
    "https://www.billiger.de/baseproducts/2468780-apple-iphone-15-pro",
    "https://www.billiger.de/baseproducts/2345678-samsung-galaxy-s24"
  ]
}

Automation Integration

n8n Workflow

1. Add "HTTP Request" node
2. Set to POST: https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs
3. Add authentication header with API token
4. Process flat JSON output directly

Zapier Integration

1. Use "Webhooks by Zapier" trigger
2. Connect to Apify webhook output
3. Map fields to Google Sheets, Airtable, etc.

Scheduled Monitoring

1. Use Apify Scheduler (built-in)
2. Run daily/weekly for price tracking
3. Get notifications via webhook when prices drop

FAQ

Q: Can I scrape all categories? A: Yes! Unlike tech-only competitors, Billiger.de covers everything from electronics to pet food (5,000+ categories).

Q: How often can I run this? A: As often as needed. Use Apify Scheduler for automated runs (daily/hourly).

Q: What about anti-bot protection? A: The scraper uses Playwright with stealth plugin and proxies to avoid detection. Residential proxies recommended for large runs.

Q: Can I track price changes over time? A: Yes! Run the actor on a schedule and compare historical data. Each result includes a timestamp.

Q: Is this legal? A: Scraping publicly available price comparison data for personal/commercial use is generally legal in Germany. Respect robots.txt and rate limits.

Q: What if a shop doesn't exist anymore? A: The scraper handles missing/outdated data gracefully by skipping invalid entries.

Q: Can I use this with residential proxies? A: Yes! Set proxyType: "RESIDENTIAL" for better reliability (costs more but higher success rate).

Technical Details

• Runtime: Node.js 20 with Playwright
• Browser: Chromium with stealth plugin
• Rate limiting: ~10 requests/minute to avoid detection
• Session handling: Automatic cookie management
• Error handling: Per-product try-catch (continues on failures)
• German format support: Handles "1.234,56 €" price format

Support

For issues, feature requests, or questions:

• Check Apify Console logs for errors
• Verify input format matches schema
• Test with small maxItems first (5-10 products)
• Enable residential proxies if getting blocked

Development

# Install dependencies
npm install

# Build TypeScript
npm run build

# Test locally (no proxies)
apify run -p

# Deploy to Apify
apify push

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Keywords

billiger.de, price comparison, germany, e-commerce, price tracking, competitor analysis, market research, automation, n8n, zapier, make, price monitoring, german marketplace, online shopping, price scraper