Testberichte.de Scraper - Product Rankings & Reviews ⭐

Extract ranked product test results from Germany's largest professional review aggregator. Get expert ratings from 500+ magazines including Stiftung Warentest, c't, and Notebookcheck.

What does this actor do?

Scrape ranked product comparisons and professional test results from Testberichte.de, Germany's leading independent product review platform. Perfect for competitive analysis, market research, and finding the best-rated products in any category.

Key features:

• ✅ Extract ranked product lists (Bestenliste) with preserved ranking order
• ✅ Professional ratings from 500+ German magazines (Stiftung Warentest, c't, etc.)
• ✅ Price comparisons across German retailers
• ✅ Technical test scores and expert verdicts
• ✅ Flat JSON output ready for spreadsheets, n8n, Zapier, Make

Why use this scraper?

Testberichte.de rankings are trusted by millions:

• 🏆 Ranked comparisons - Products sorted by professional test results
• 🎯 Expert ratings from independent magazines (not user opinions)
• 📊 Technical benchmarks (battery life, performance, screen quality)
• 🇩🇪 German market focus (ideal for EU/DACH region analysis)
• 🔬 Aggregated scores from multiple trusted sources

Better than Trustpilot or Amazon reviews for:

• Competitive product analysis
• Market positioning research
• B2B product development insights
• Quality-focused product comparisons

Use cases

Competitive Analysis

Track competitor product rankings in German market. See which products rank #1, #2, #3 in your category based on professional tests.

Market Research

Identify best-rated products by category to understand market leaders and consumer preferences in Germany.

Product Development

Learn from top-ranked products' strengths and weaknesses using expert test critiques from trusted publications.

E-commerce & Retail

Validate product claims with independent rankings from German magazines like Stiftung Warentest.

Business Intelligence

Monitor product rating trends over time by scraping category rankings weekly or monthly.

Input

Field	Type	Required	Description
mode	String	Yes	Scraping mode: category, search, or product
categoryUrl	String	For category mode	Full URL of ranking page (e.g., Bestenliste with ranked products)
searchQuery	String	For search mode	Product name or keyword (e.g., "iPhone 15 Pro")
productUrl	String	For product mode	Full URL of product page
maxProducts	Number	No	Maximum products to scrape (default: 100, max: 10,000)
useProxies	Boolean	No	Enable Apify proxies for large scrapes (default: false)

Input examples

1. Category Rankings (recommended - preserves rank order)

{
  "mode": "category",
  "categoryUrl": "https://www.testberichte.de/audio-hifi/3522/bluetooth-lautsprecher/stereo-bluetooth-lautsprecher.html",
  "maxProducts": 20
}

2. Search Mode

{
  "mode": "search",
  "searchQuery": "iPhone 15 Pro",
  "maxProducts": 50
}

3. Single Product

{
  "mode": "product",
  "productUrl": "https://www.testberichte.de/p/apple-tests/macbook-pro-14-m4-2024-testbericht.html"
}

Output

Each product contains:

• rank - Position in ranking list (1, 2, 3...) or null if not from ranking page
• productTitle - Full product name
• brand - Manufacturer (e.g., "Apple", "Samsung")
• category - Product category (e.g., "Laptop", "Bluetooth-Lautsprecher")
• overallRating - German grade scale (1.0 = sehr gut / excellent, 6.0 = ungenügend / poor, or null)
• ratingScore - Normalized 0-100 score (100 = best, or null)
• testCount - Number of professional magazine tests
• priceMin / priceMax - Price range in EUR
• currency - Currency code (EUR)
• imageUrl - Product image URL
• productUrl - Link to Testberichte.de product page
• scrapedAt - ISO timestamp

Output structure

Results are sorted by rank (ascending) in the dataset view, making it easy to see the best-rated products at the top.

Example output

{
  "rank": 1,
  "productTitle": "Soundcore Boom 2 Plus",
  "brand": "Anker",
  "category": "Wasserdichter Bluetooth-Lautsprecher",
  "overallRating": 5.6,
  "ratingScore": 92,
  "testCount": 3129,
  "priceMin": 169.99,
  "priceMax": 258.58,
  "currency": "EUR",
  "imageUrl": "https://www.testberichte.de/imgs/p_imgs_supersize/1907726.jpg",
  "productUrl": "https://www.testberichte.de/p/anker-tests/soundcore-boom-2-plus-testbericht.html",
  "scrapedAt": "2025-10-25T16:47:23.182Z"
}

Note: Products without sufficient test data may have overallRating and ratingScore as null.

Pricing

Pay-per-product model:

• $0.006 per product scraped with ranking data
• ~$0.60 per 100 products
• ~$6.00 per 1,000 products

Why pay-per-product? Professional test rankings from Stiftung Warentest, c't, and other German publications provide:

• Expert analysis with technical benchmarks
• Independent testing by professional journalists
• Trusted data for B2B decision-making
• Ranked comparisons (not just raw reviews)

Typical costs:

• Small scrape (20 ranked products): ~$0.12
• Medium scrape (100 products): ~$0.60
• Large scrape (500 products): ~$3.00

Categories available

• Electronics: Smartphones, Laptops, Tablets, TVs, Cameras, Monitors
• Audio: Bluetooth Speakers, Headphones, Soundbars, Earbuds
• Home Appliances: Vacuum Cleaners, Coffee Machines, Air Purifiers, Washing Machines
• Kitchen: Blenders, Toasters, Microwaves, Dishwashers
• Office: Printers, Keyboards, Mice, Webcams
• Outdoor: E-Bikes, Smartwatches, Fitness Trackers, Action Cameras
• Smart Home: Security Cameras, Smart Speakers, Thermostats
• And 30+ more categories

Finding ranking pages (Bestenliste)

1. Go to Testberichte.de
2. Navigate to any category (e.g., "Bluetooth-Lautsprecher")
3. Look for subcategories with "Bestenliste" or ranking icons
4. Copy the full URL (e.g., /audio-hifi/3522/bluetooth-lautsprecher/stereo-bluetooth-lautsprecher.html)
5. Use as categoryUrl input

Tip: Subcategory pages typically have the best rankings with 10-50 products ranked by test results.

FAQ

Q: What does "rank" mean in the output? A: The rank field shows the product's position in the ranking list (1 = best, 2 = second best, etc.) based on aggregated professional test results.

Q: Why are some products missing ratings? A: Products without sufficient professional tests show null for overallRating and ratingScore. They may still appear in rankings based on other criteria.

Q: Can I use this with n8n/Zapier/Make? A: Yes! Output is flat JSON with consistent fields, perfect for automation tools and spreadsheet import.

Q: How often can I run this? A: Schedule it daily/weekly via Apify Scheduler to track ranking changes and monitor competitor positions over time.

Q: Is this data in English or German? A: Mixed. Product names and categories are in German, but field names are in English. Ratings are numeric for easy analysis.

Q: How does this compare to Amazon/Trustpilot scrapers? A: Different use cases:

• Amazon/Trustpilot: User opinions (thousands of reviews, subjective)
• Testberichte.de: Professional rankings (expert tests, objective benchmarks)

Use Testberichte.de for B2B research, competitive analysis, and German market positioning.

Q: What's the difference between overallRating and ratingScore? A:

• overallRating: German school grade (1.0-6.0, lower is better)
• ratingScore: Normalized percentage (0-100, higher is better)

Use ratingScore for easier analysis across categories.

Integration examples

n8n workflow - Track competitor rankings

1. Schedule Testberichte scraper to run weekly
2. Store results in Google Sheets or database
3. Compare current rank vs. previous week
4. Send Slack alert if competitor moves up/down in rankings

Zapier automation - Best product alerts

1. Scrape category rankings daily
2. Filter for products with rank <= 3 (top 3)
3. Check if any new products entered top 3
4. Create Notion database entry with product details

Python analysis - Brand comparison

import requests
import pandas as pd

# Fetch scraped data
dataset_id = 'your-dataset-id'
data = requests.get(f'https://api.apify.com/v2/datasets/{dataset_id}/items').json()

# Analyze top-ranked products by brand
df = pd.DataFrame(data)
top_10 = df[df['rank'] <= 10]
brand_counts = top_10['brand'].value_counts()
print("Brands in Top 10:", brand_counts)

# Find best value (low price, high rating)
df['value_score'] = df['ratingScore'] / df['priceMin']
best_value = df.nlargest(5, 'value_score')[['rank', 'productTitle', 'brand', 'ratingScore', 'priceMin']]
print(best_value)

Technical details

• Method: Playwright (browser automation)
• Proxy support: Optional datacenter proxies (residential not needed)
• Anti-bot detection: None detected
• Data extraction: JSON-LD structured data + HTML parsing
• Rate limiting: Built-in delays (1-2s between requests)
• Output format: JSON, CSV, Excel compatible

Limitations

• Only scrapes publicly available data from Testberichte.de
• Does not bypass magazine paywalls (only extracts aggregated ratings)
• German-language data (product names, categories)
• Respects robots.txt
• Some products may lack professional test data (shows null ratings)

About Testberichte.de

Testberichte.de is Germany's largest independent product comparison portal, aggregating test results from over 500 German-language magazines including:

• Stiftung Warentest (German Consumer Reports)
• c't (leading IT magazine)
• Mac & i (Apple products)
• Notebookcheck (laptop & phone tests)
• Audio Video Foto Bild
• Computer Bild
• And 490+ more publications

The platform has been helping German consumers make informed purchasing decisions since 1999, with over 1 million products tested.

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SEO Keywords

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