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Fietsenwinkel Bikes Search Scraper

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$20.00/month + usage

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Fietsenwinkel Bikes Search Scraper

Fietsenwinkel Bikes Search Scraper

Automate extraction of bicycle data from Fietsenwinkel.nl, Netherlands' leading bike retailer. Capture product names, SKUs, images, specifications, pricing, and ratings. Ideal for price comparison, inventory tracking, and market analysis in the Dutch cycling industry.

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Fietsenwinkel.nl Bikes Search Scraper: Extract Dutch Bicycle Listings and Specifications

Excerpt: Automate extraction of bicycle data from Fietsenwinkel.nl, Netherlands' leading bike retailer. Capture product names, SKUs, images, specifications, pricing, and ratings. Ideal for price comparison, inventory tracking, and market analysis in the Dutch cycling industry.


Understanding Fietsenwinkel.nl and Its Market Value

Fietsenwinkel.nl operates as one of the Netherlands' largest online bicycle retailers, offering extensive catalogs of traditional bikes, e-bikes, and cycling accessories. The platform serves the Dutch cycling market—one of Europe's most significant—with detailed product specifications, competitive pricing, and comprehensive bike categories.

For retailers conducting competitive analysis, price comparison platforms aggregating cycling data, or market researchers studying Dutch cycling trends, Fietsenwinkel data provides crucial insights. Manual extraction across hundreds of bike models and categories proves time-consuming. This scraper automates the process, delivering structured bicycle data ready for analysis.

What This Scraper Extracts

The scraper processes Fietsenwinkel search and category pages, capturing multiple bike listings efficiently. It targets product listings displayed after applying filters for bike type, price range, or features.

Extracted Data Fields:

Product Identification:

  • Name: Full product name including brand and model designation
  • SKU: Stock Keeping Unit for inventory tracking and cross-referencing
  • Model: Specific model designation for comparison across retailers
  • GTIN8: 8-digit Global Trade Item Number for universal product identification

Visual Assets:

  • Image: Product image URL for display and visual analysis

Commercial Data:

  • Offers: Pricing object containing current price, availability, currency, and seller information. Enables price tracking and comparison.

Technical Details:

  • Specifications: Comprehensive technical specifications object including frame size, wheel size, gear system, brake type, weight, battery capacity (for e-bikes), motor type, and materials. Critical for feature comparison and buyer decision-making.

Quality Indicators:

  • Aggregate Rating: Average customer rating and review count. Reveals product popularity and satisfaction levels.

Input Configuration

The scraper processes Fietsenwinkel category and search result URLs containing bike listings.

Example Configuration:

{
"proxy": {
"useApifyProxy": false
},
"max_items_per_url": 20,
"ignore_url_failures": true,
"urls": [
"https://fietsenwinkel.nl/fietsen/-/elektrische_fietsen-sportieve_e_bikes?product_list_limit=30"
]
}

Example Screenshot:

Parameter Breakdown:

proxy: Set useApifyProxy: false by default. Enable for high-volume scraping to prevent detection. Residential proxies recommended for daily monitoring.

max_items_per_url: Controls bikes extracted per URL. Set to 20 for standard extraction. Fietsenwinkel displays 30+ products per page when product_list_limit=30 is specified in URL.

ignore_url_failures: When true, continues processing if URLs fail. Essential for batch operations across multiple categories.

urls: Array of Fietsenwinkel search/category URLs. The example targets sporty e-bikes (sportieve_e_bikes) within electric bikes category (elektrische_fietsen). The product_list_limit=30 parameter maximizes items per page.

URL Structure: Fietsenwinkel uses category hierarchies and filters in URLs:

  • /fietsen/ = main bikes section
  • /-/elektrische_fietsen = e-bikes category
  • -sportieve_e_bikes = sporty e-bikes subcategory
  • ?product_list_limit=30 = items per page

Pro Tip: Navigate Fietsenwinkel manually, apply desired filters (bike type, price, frame size), then copy URLs. For complete catalogs, include multiple category URLs in the array.

Output Structure and Field Meanings

Name: Complete product title including brand, model, and variant. Used for product identification and search optimization.

SKU: Retailer's internal stock code. Primary key for inventory management, reordering, and database operations.

Image: URL to product image. Enables visual display in comparison tools and catalogs. Typically hosted on Fietsenwinkel's CDN.

Model: Manufacturer's model designation. Enables cross-platform price comparison by matching identical models across retailers.

GTIN8: European Article Number (EAN-8) for universal product identification. Facilitates integration with inventory systems and product databases.

Offers: Structured object containing:

  • Price: Current selling price in euros
  • PriceCurrency: Currency code (EUR)
  • Availability: Stock status (InStock, OutOfStock, PreOrder)
  • Seller: Retailer information
  • ValidFrom/ValidThrough: Promotional period dates

Specifications: Technical details object with bike-specific attributes:

  • Frame Material: Aluminum, carbon, steel
  • Frame Size: Available sizes (S, M, L, XL or cm measurements)
  • Wheel Size: Diameter in inches (e.g., 28", 29")
  • Gears: Number of gears and system type (Shimano, SRAM)
  • Brakes: Brake type (disc, rim, hydraulic)
  • Weight: Bike weight in kg
  • Battery Capacity: For e-bikes, measured in Wh (Watt-hours)
  • Motor Type: E-bike motor brand and position (mid-drive, hub)
  • Range: E-bike range in km

Aggregate Rating: Review metrics object:

  • RatingValue: Average rating (typically 1-5 scale)
  • ReviewCount: Total number of customer reviews
  • BestRating/WorstRating: Rating scale bounds

Sample Output:

[
{
"name": "Cube Kathmandu Hybrid Comfort Pro 800 Dames 2026",
"sku": "CF-CKCOMFPRO800D2026",
"image": "https://fietsenwinkel.nl/media/catalog/product/placeholder/default/placeholder_4.jpg",
"model": "Cube Kathmandu Hybrid Comfort Pro 800 Dames 2026",
"gtin8": "CF-CKCOMFPRO800D2026",
"offers": {
"@type": "Offer",
"url": "https://fietsenwinkel.nl/cube-kathmandu-hybrid-comfort-pro-800-dames-2026",
"price": "3799.00",
"price_currency": "EUR",
"price_valid_until": "2030-01-01",
"sku": "CF-CKCOMFPRO800D2026",
"gtin": "CF-CKCOMFPRO800D2026"
},
"specifications": [
"Middenmotor",
"800Wh accu",
"80-140km actieradius"
],
"aggregate_rating": {
"@type": "AggregateRating",
"rating_value": "4.67",
"rating_count": 1,
"best_rating": 5,
"review_count": 1
},
"from_url": "https://fietsenwinkel.nl/fietsen/-/elektrische_fietsen-sportieve_e_bikes?product_list_limit=30"
}
]

Step-by-Step Implementation

1. Identify Target Categories: Determine bike types needed—e-bikes, racing bikes, city bikes, mountain bikes. Test categories on Fietsenwinkel to verify relevant results.

2. Collect URLs: Navigate Fietsenwinkel, apply filters, copy resulting URLs. Include multiple categories for comprehensive datasets. Note the product_list_limit parameter—increase to 50 or 100 for more items per page.

3. Configure Input: Build JSON with collected URLs. Set max_items_per_url appropriately (20-30 standard, higher for complete extraction). Enable ignore_url_failures for reliability.

4. Execute Scraper: Launch and monitor progress. Typical performance: 3-5 category pages with 20 items complete in 2-3 minutes.

5. Validate Output: Check critical fields are populated—prices, specifications, ratings. Verify bike types match target categories.

6. Export Data: Export as JSON for databases, CSV for spreadsheets, or Excel for analysis. Deduplicate by SKU if categories overlap.

7. Handle Pagination: For exhaustive extraction, note Fietsenwinkel's pagination structure and include multiple page URLs if needed.

Strategic Applications

Price Monitoring: Track competitor pricing across bike categories. Set alerts for price drops. Calculate price-per-feature ratios using specifications data.

Inventory Analysis: Monitor stock availability via Offers field. Identify popular models that frequently sell out. Track seasonal inventory patterns.

Product Comparison: Build comparison matrices using specifications. Analyze feature distributions across price ranges. Identify value propositions.

Market Research: Study Dutch e-bike market trends. Analyze battery capacity evolution, motor preferences, and price positioning strategies.

Customer Intelligence: Correlate aggregate ratings with specifications and prices. Identify highly-rated budget options or overpriced underperformers.

Catalog Building: Aggregate Fietsenwinkel data into broader cycling databases or price comparison platforms using GTIN8 for product matching.

Competitive Positioning: Retailers can benchmark their offerings against Fietsenwinkel's catalog, pricing, and customer satisfaction metrics.

Advanced Techniques

Time-Series Price Tracking: Scrape weekly, storing timestamped data. Track price fluctuations seasonally (spring bike boom, winter discounts). Predict optimal purchase timing.

Specification Analysis: Extract common specifications across categories. Identify emerging trends (battery sizes increasing, weight decreasing). Guide product development.

Rating-Price Correlation: Statistically analyze whether higher prices correlate with better ratings. Identify sweet spots where value meets satisfaction.

Cross-Category Comparison: Compare e-bike vs. traditional bike specifications and pricing. Quantify the "e-bike premium" in the Dutch market.

Brand Analysis: Aggregate by brand extracted from Name field. Analyze brand market share, average pricing, and customer satisfaction.

Feature Demand Mapping: Count specification frequencies (hydraulic brakes, carbon frames, mid-drive motors). Understand market preferences.

Best Practices

Scraping Frequency: Bicycle prices change seasonally and during promotions. Weekly scraping captures regular patterns; daily monitoring catches flash sales.

Data Validation: Verify prices are reasonable (100-10,000 EUR for complete bikes). Check specification formats are consistent. Flag missing critical fields.

Privacy Compliance: Product data is generally public, but respect Terms of Service. Avoid overwhelming servers with requests—use reasonable delays.

Duplicate Handling: Use SKU as primary key for deduplication. Models may appear in multiple categories with identical data.

Currency Tracking: All prices in EUR. Note exchange rates if converting for international analysis.

Stock Monitoring: Track availability status changes. Out-of-stock items may indicate high demand or discontinuation.

Image Handling: Image URLs may include CDN parameters. Test URLs periodically to ensure continued accessibility.

Conclusion

The Fietsenwinkel.nl Bikes Search Scraper transforms the Netherlands' premier cycling retailer into structured market intelligence. From e-bike specifications to pricing dynamics, this tool delivers insights for competitive analysis, price monitoring, and market research in Europe's most cycling-intensive market. Whether building comparison platforms, tracking inventory, or analyzing cycling trends, structured Fietsenwinkel data provides the foundation for data-driven decisions in the Dutch bicycle industry.