Sinsay Product Search Scraper

Sinsay Product Search Scraper: Harvest Fashion Catalog Data at Scale

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What Is Sinsay.com?

Sinsay is a leading European fashion retailer offering trendy clothing, accessories, and footwear for women, men, and kids. With localized versions across multiple countries (Germany, Poland, Spain, Czech Republic, etc.), Sinsay operates one of the largest fashion product catalogs in Europe. Manually extracting product data from search pages is inefficient — the Sinsay Product Search Scraper automates collection, delivering 100+ structured fields per item.

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Overview

The Sinsay Product Search Scraper extracts product listings from Sinsay search pages, capturing comprehensive data including pricing, images, variants, ratings, and inventory status. It is ideal for:

• E-commerce aggregators building fashion product databases
• Price monitoring services tracking Sinsay's catalog changes
• Competitive researchers analyzing fashion market trends
• Data analysts studying product availability and pricing strategies

Key strengths include high-volume scraping (up to 200 items per URL), multi-language support, mobile and desktop price variants, and robust handling of dynamic content.

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Input Format

The Actor supports two scraping modes — use only one at a time:

1. Scrape by URLs — scrape data directly from a list of Sinsay product search URLs.

{
  "urls": [
    "https://www.sinsay.com/de/de/damen/kleidung?page=2"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 200
}

2. Scrape by search filters — scrape data using a keyword and additional filters (price range, etc.) instead of providing URLs.

{
  "region": "de",
  "keyword": "shoe",
  "price_range": "10-20"
}

There is also a General settings group that applies to both modes.

1. Scrape by URLs

Use this mode when you already have specific product search URLs. When this mode is used, all options in the "Scrape by search filters" section will be disabled.

Field	Type	Default	Description
urls	array	(required)	Direct links to Sinsay product search pages. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. Supports pagination, category filters, and keyword searches. Example: https://www.sinsay.com/[country]/[language]/[category]?page=[n].
ignore_url_failures	boolean	true	If true, the scraper continues processing remaining URLs if some fail. Recommended for bulk runs.

Pro Tip: Use country-specific Sinsay URLs (e.g., /de/de/ for Germany, /pl/pl/ for Poland) to capture localized pricing and inventory.

2. Scrape by search filters

Use this mode when you want to search using a keyword and additional filter attributes instead of scraping by URLs. If you use this mode, leave the urls field above empty.

Field	Type	Default	Description
region	string	—	The region to search for.
keyword	string	—	The keyword to search for.
price_range	string	—	The price range to search for items, in the format min:max (e.g. 100:200).

3. General settings

Applies to both scraping modes above.

Field	Type	Default	Description
max_items_per_url	integer	20	The maximum number of products to extract per URL/search (1–200). Set to 200 for complete catalog scrapes.

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Output Format

Sample output

{
  "id": 7142013,
  "sku": "875JF-09X",
  "name": "Einteiliger Schlafanzug mit Stickerei und Eselschwanz Shrek",
  "name_pl": null,
  "url": "https://www.sinsay.com/de/de/einteiliger-schlafanzug-mit-stickerei-und-eselschwanz-shrek-875jf-09x",
  "description": "© Licensed by Universal Studios. All rights reserved.",
  "merchant_name": "Sinsay",
  "price": 22.99,
  "regular_price": 22.99,
  "currency": "EUR",
  "price_type": "regular",
  "has_discount": null,
  "history_price": 0,
  "color": "grau:grey",
  "color_count": 1,
  "colors": [
    {
      "color_name": "Grau",
      "color_css": null,
      "sku": "875JF-09X",
      "url": null,
      "is_active": null,
      "is_in_stock": null,
      "image_url": null,
      "available_sizes": []
    }
  ],
  "sizes": [],
  "available_sizes": [],
  "total_stock_quantity": null,
  "is_in_stock": null,
  "rating_avg": null,
  "rating_count": null,
  "labels": [
    "Neu"
  ],
  "categories": {
    "lvl0": [
      "Herren",
      "🆕 Neuheiten",
      "Empfohlen"
    ],
    "lvl1": [
      "Herren > ⏰ Coming soon",
      "Herren > Pyjamas und Unterwäsche",
      "Herren > 🆕 Neuheiten",
      "Empfohlen > 🟡 Bis Zu -50% Mid Season Sale",
      "Empfohlen > 🆕 Neuheiten"
    ],
    "lvl2": [
      "Empfohlen > 🟡 Bis Zu -50% Mid Season Sale > Pyjamas, Unterwäsche",
      "Herren > Pyjamas und Unterwäsche > Pyjamas",
      "Empfohlen > 🟡 Bis Zu -50% Mid Season Sale > Herren"
    ]
  },
  "sex": "Herren",
  "season": "AW 2026",
  "collection_name": "000058 Licence DreamWorks 26/2",
  "characteristics": [],
  "features": {
    "produkt": [
      "Pyjamas"
    ],
    "typ": [
      "snuddie"
    ],
    "ausschnitt": [
      "rund"
    ],
    "verschluss": [
      "Reißverschluss"
    ],
    "ärmel": [
      "lang",
      "mit Bündchen verarbeitet"
    ],
    "beine": [
      "lang",
      "mit Bündchen abgeschlossen"
    ],
    "material": [
      "Polyester"
    ],
    "merkmale": [
      "Lizenz",
      "Stickerei",
      "Taschen",
      "Kordelzug",
      "gesenkte Schulterlinie",
      "3D-Elemente",
      "mit Kapuze"
    ],
    "farbe": [
      "Beige"
    ],
    "lizenz": [
      "Shrek",
      "Universal"
    ],
    "kategorie": [
      "Herren"
    ],
    "saison": [
      "herbst",
      "winter"
    ],
    "materialfinish": [
      "Fleece"
    ],
    "schnitt": [
      "Regular-Fit",
      "Langarmshirt"
    ]
  },
  "image_count": 0,
  "image_urls": [],
  "video_urls": [],
  "raw_data": null,
  "from_url": "https://www.sinsay.com/de/de/search?query=shoe&price=10-20"
}

Complete Output Structure and Field Definitions

The scraper returns JSON data with each product as an object containing detailed fields. Understanding field purposes enables effective analysis and application.

Product Identification

ID: Unique identifier of the product in the Sinsay catalog. Purpose: Database indexing, tracking specific products over time, avoiding duplicates.

SKU: Stock keeping unit code of the product (including color variant). Purpose: Inventory matching, cross-referencing with other systems, variant tracking.

Name: Product name in the store language. Purpose: Display, keyword analysis, product search and categorization.

Name PL: Original Polish product name. Purpose: Cross-market product matching, comparing the same item across Sinsay country stores.

URL: Direct link to the product page. Purpose: Accessing complete details, sharing products, verification of scraped data.

Description: Product description text (may be null). Purpose: Extracting material, fit and care details, keyword analysis.

Merchant Name: Name of the merchant selling the product. Purpose: Separating own-brand items from external merchants.

Pricing

Price: Current selling price as a number. Purpose: Price comparison, market positioning, budget filtering.

Regular Price: Standard price before any discount. Purpose: Calculating discount depth and promotion tracking.

Currency: Currency of the listed prices (e.g., EUR). Purpose: Correct financial interpretation when merging datasets from multiple markets.

Price Type: Type of the current price (e.g., regular, promotional). Purpose: Distinguishing full-price from discounted items.

Has Discount: Whether the product is currently discounted. Purpose: Identifying sale items and promotional activity.

History Price: Reference historical (lowest previous) price; 0 when not provided. Purpose: Price history analysis and discount verification.

Color and Size Availability

Color: Color of the main (active) product variant. Purpose: Filtering and trend analysis by color.

Color Count: Number of color variants available. Purpose: Measuring assortment breadth per product.

Colors: List of color variants, each with color name, CSS color name, SKU, URL, active flag, stock flag, preview image and available sizes. Purpose: Variant-level stock monitoring, color popularity analysis, linking to variant pages.

Sizes: List of sizes for the main variant with stock status and quantity. Purpose: Size-level inventory tracking and sell-out detection.

Available Sizes: Sizes currently in stock for the main variant. Purpose: Quick availability check and filtering by size.

Total Stock Quantity: Sum of stock quantities across sizes of the main variant. Purpose: Estimating remaining inventory and demand signals.

Is In Stock: Whether at least one size of the main variant is in stock. Purpose: Availability monitoring and out-of-stock alerts.

Ratings and Labels

Rating Avg: Average customer rating. Purpose: Product quality assessment and ranking by customer satisfaction.

Rating Count: Number of customer ratings. Purpose: Gauging reliability of the rating and product popularity.

Labels: Promotional tags shown on the product (e.g., BESTSELLER). Purpose: Identifying bestsellers and featured products.

Classification

Categories: Product categories (may be null). Purpose: Market segmentation and category-level analysis.

Sex: Target gender of the product (may be null). Purpose: Segmenting by target audience.

Season: Season of the product collection (may be null). Purpose: Seasonal trend analysis.

Collection Name: Name of the collection the product belongs to (may be null). Purpose: Tracking collections and campaigns.

Characteristics: Additional product characteristics (may be null). Purpose: Filtering by material, fit or other attributes when available.

Features: Additional product features (may be null). Purpose: Attribute-level analysis when available.

Media

Image Count: Total number of product photos. Purpose: Evaluating listing quality and completeness.

Image URLs: List of direct links to original-resolution product photos in original order. Purpose: Downloading images, visual inspection, computer vision analysis.

Video URLs: List of links to product videos (empty if none). Purpose: Direct access to product video content.

Raw Data

Raw Data: Complete original JSON object of the product as scraped, without modification. Purpose: Auditing, debugging, accessing fields not included in the cleaned output, and reprocessing without re-scraping.

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How to Use

1. Navigate to Sinsay — Go to sinsay.com and choose your country/language version. Browse to a product search page (category, keyword search, or filtered results).

2. Copy the URL — Copy the search page URL (e.g., https://www.sinsay.com/de/de/damen/kleidung?page=2). You can add multiple URLs to scrape different categories or pages.

3. Configure parameters:

   • Set max_items_per_url to 200 for complete page scrapes, or lower to sample products.
   • Set ignore_url_failures: true for resilience in bulk runs.

4. Run the scraper — Start the job and monitor progress in the logs.

5. Export data — Download results in JSON, CSV, or Excel format for analysis or import into your database.

Best practices:

• Use country-specific URLs to capture localized pricing and availability.
• Scrape during off-peak hours to minimize server load.
• Combine pagination (?page=1, ?page=2, etc.) to collect full category catalogs.

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Use Cases & Business Value

• Price monitoring dashboards: Track Sinsay's pricing, discounts, and promotional strategies in real-time
• Fashion product aggregators: Build comprehensive product feeds for comparison shopping platforms
• Competitive intelligence: Monitor bestsellers, inventory levels, and seasonal collections
• Stock analysis: Identify low-stock or clearance items for time-sensitive marketing
• Research & analytics: Study fashion trends, color preferences, and size distribution

The Sinsay Product Search Scraper eliminates hours of manual catalog curation, delivering rich, machine-readable product data ready for BI tools, e-commerce platforms, and market research systems.

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Conclusion

The Sinsay Product Search Scraper is the fastest way to harvest large-scale fashion product data from Sinsay's European catalog. With 100+ structured fields spanning pricing, inventory, images, and ratings, it unlocks insights impossible to gather manually. Start scraping today and transform Sinsay's product pages into actionable data.