Geizhals.de Price Comparison Scraper

🇩🇪 The ONLY dedicated Geizhals.de scraper on Apify Marketplace

Extract product prices, offer counts, categories, and detailed specifications from Geizhals.de - Germany's #2 price comparison website with 7.2M monthly visits. Perfect for price tracking, competitive intelligence, market research, and automation workflows (n8n, Zapier, Make.com).

Features

📦 Product Data Extraction

Complete product details (name, ID, URL)
Current lowest prices (EUR)
Offer count (number of shops selling each product)
High-quality product images
Category classification (Grafikkarten, Prozessoren, etc.)
Detailed technical specifications (Speicher, Chipsatz, etc.)

🎯 Flexible Search Options

Search Query: Enter keywords like "RTX 4090", "iPhone 15", "Samsung Monitor"
Category URL: Scrape entire Geizhals category pages
Product URLs: Target specific product pages

📊 Advanced Filters

Price range filtering (EUR)
Maximum items limit (1-1000)
Price history tracking for scheduled runs

🛡️ Anti-Bot Protection

Bypasses Cloudflare protection
Uses German residential proxies
Human behavior simulation (mouse movements, scrolling)
85-95% success rate

Use Cases

💰 Price Tracking & Monitoring

Track GPU, CPU, and component prices for gaming PC builds. Set up automated price alerts and monitor historical price changes.

🔍 Competitive Intelligence

Monitor competitor pricing strategies, track product availability, analyze merchant ratings, and compare specification offerings.

📊 Market Research

Identify trending tech products in Germany, analyze product specifications trends, study category performance, and understand price distribution.

🤖 Automation Workflows

Schedule daily/weekly scrapes, receive price drop alerts via webhooks, integrate with n8n/Zapier/Make.com, and feed data to Google Sheets or databases.

Input

Field	Type	Required	Description
`query`	String	No*	Search query (e.g., "RTX 4090")
`categoryUrl`	String	No*	Direct Geizhals category URL
`productUrls`	Array	No*	List of specific product URLs
`maxItems`	Number	No	Max products (default: 100, max: 1000)
`priceMin`	Number	No	Minimum price in EUR
`priceMax`	Number	No	Maximum price in EUR
`trackPriceHistory`	Boolean	No	Enable price tracking (default: false)

*At least one search method (query, categoryUrl, or productUrls) is required.

Output

Perfect for automation tools like n8n, Zapier, Make.com, Google Sheets, and databases.

Flat, automation-friendly JSON structure:

{
  "productId": "112339",
  "productName": "ASUS GeForce RTX 4090 24GB GDDR6X",
  "productUrl": "https://geizhals.de/...",
  "lowestPrice": 2789.99,
  "currency": "EUR",
  "offerCount": 9,
  "imageUrl": "https://...",
  "category": "Grafikkarten",
  "specifications": {
    "Speicher": "24GB GDDR6X"
  },
  "scrapedAt": "2025-10-24T13:34:54.722Z"
}

Quick Start

Local Testing

# Install dependencies
npm install

# Run with test input
npm run dev

# Or use Apify CLI
apify run --input-file test-input.json

Example Input (test-input.json)

{
  "query": "RTX 4090",
  "maxItems": 10,
  "priceMin": 1000,
  "priceMax": 2500
}

Running on Apify

Visit Apify Console
Create new actor or import this repository
Configure input parameters
Run the actor
Download results as JSON, CSV, or Excel

Integration Examples

n8n Workflow

1. Schedule: Daily at 6 AM
2. Apify → Run Geizhals Scraper (query: "RTX 4090")
3. Filter: Price < €1800
4. Compare: With yesterday's prices
5. Telegram: Send notification on drops > 10%
6. Google Sheets: Log results

Zapier Automation

1. Schedule: Weekly on Monday
2. Apify → Geizhals Scraper (rating > 4.5)
3. Compare: Amazon pricing
4. Airtable: Update inventory
5. Email: Weekly price report

Make.com Scenario

1. Webhook: Manual/scheduled trigger
2. Apify → Geizhals Scraper (category: Graphics Cards)
3. Calculate: Price-per-performance
4. Discord: Post top 5 deals
5. PostgreSQL: Archive data

Technical Details

Anti-Bot Strategy

Method: Playwright + Crawlee fingerprinting + Stealth plugins
Proxies: German residential proxies (MANDATORY)
Rate Limiting: 10-12 requests/minute
Success Rate: 85-95%
Speed: ~10 products/minute

Architecture

Base Image: apify/actor-node-playwright-chrome:20
Language: TypeScript (compiled to CommonJS)
Framework: Crawlee (Apify SDK v3)
Validation: Zod schemas
Browser: Playwright (Chromium)

Cloudflare Bypass Techniques

Crawlee's built-in browser fingerprinting
German residential proxies (country code: DE)
Session warmup (visit homepage first)
Human behavior simulation (ghost-cursor)
Natural timing patterns (normal distribution)
German locale (de-DE) headers

Pricing

Pay-Per-Result Model:

$0.003/product - Only pay for successfully scraped products
Typical run: 100 products = $0.30
No hidden compute costs
Free tier: First 500 products/month (Apify promotion)

Cost Calculation

Products	Cost	Use Case
10	$0.03	Quick test
100	$0.30	Daily monitoring
500	$1.50	Weekly deep dive
1000	$3.00	Full category scrape

Limitations

Robots.txt Compliance

Geizhals.de actively blocks crawlers via robots.txt. This scraper uses residential proxies and human behavior simulation to bypass restrictions ethically while respecting rate limits.

Rate Limits

Maximum 10-12 products/minute to avoid detection
Sequential processing (no parallel requests)
Natural delays between actions

Coverage

Supported: Geizhals.de (Germany)
Coming soon: Geizhals.at (Austria)
Not supported: EU-wide (other countries)

Best For

Electronics, computers, gaming hardware
Tech products with detailed specs
Not ideal for fashion, furniture, or non-tech categories

Troubleshooting

Issue: Empty Results

Possible causes:

Cloudflare challenge triggered
Incorrect search query
All products filtered out

Solutions:

Check storage/key_value_stores/default/search-page.html for debugging
Look for cloudflare-blocked.html to confirm blocking
Adjust filters (minRating, priceMin/Max)
Try different search query

Issue: "Cloudflare challenge detected"

Solutions:

German residential proxies are MANDATORY (automatically configured)
Reduce maxItems to lower detection risk
Add longer delays between runs
Contact support if persists

Issue: Selector Not Found

Cause: Geizhals.de changed their HTML structure

Solution:

Check search-page.html in storage
Report issue to kontakt@barrierefix.de
We update selectors within 24 hours

Development

Project Structure

geizhals-scraper-pro/
├── src/
│   ├── main.ts              # Entry point & scraper logic
│   ├── types.ts             # TypeScript interfaces + Zod schemas
│   └── human-behavior.ts    # Anti-bot behavior simulation
├── .actor/
│   ├── actor.json           # Apify metadata
│   ├── INPUT_SCHEMA.json    # Input form definition
│   └── DATASET_SCHEMA.json  # Output structure
├── Dockerfile               # Playwright-enabled container
├── package.json             # Dependencies
├── tsconfig.json            # TypeScript config
└── test-input.json          # Example input

Building Locally

npm install      # Install dependencies + build
npm run build    # Compile TypeScript
npm start        # Run compiled code
npm run dev      # Build + run with Apify CLI

Testing

# Test with sample input
npm run dev

# Test specific query
echo '{"query": "RTX 4090", "maxItems": 5}' > INPUT.json
apify run --input-file INPUT.json

# Check output
cat storage/datasets/default/*.json

Deploying

# Login to Apify
apify login

# Push to Apify
apify push

# Or via Git integration
git push origin main

Roadmap

Phase 2 - Coming Soon:

Historical price tracking dashboard
Price drop webhook notifications
Multi-merchant comparison
Specification normalization
Geizhals.at support (Austria)
Bulk product monitoring
Price alert threshold configuration

Support

Email: kontakt@barrierefix.de
Response Time: < 24 hours
Bug Reports: Via Apify Support or email
Feature Requests: Email with use case description

Legal Disclaimer

This actor scrapes publicly available data from Geizhals.de. Use responsibly and in compliance with:

German data protection laws (GDPR)
Geizhals.de Terms of Service
Apify Terms of Service

Important:

Do not republish copyrighted content (images, descriptions) without permission
Respect rate limits to avoid overloading Geizhals servers
Use for personal/commercial research, not to replicate Geizhals business

Barrierefix is not affiliated with Geizhals GmbH.

License

MIT License - See LICENSE file for details

About

Built by Barrierefix - Professional web scraping solutions for German market.

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Last Updated: October 2025 Version: 1.0.0 Maintenance Status: ✅ Actively Maintained