Apotea Product Search Scraper avatar
Apotea Product Search Scraper

Pricing

$20.00/month + usage

Go to Apify Store
Apotea Product Search Scraper

Apotea Product Search Scraper

Developed by

ecomscrape

ecomscrape

Maintained by Community

Discover how to extract product data from Apotea.se, Sweden's largest online pharmacy, with this powerful scraper. Collect product names, prices, images, SKUs and more from over 40,000 health and beauty items for competitive analysis, market research, and price monitoring.

0.0 (0)

Pricing

$20.00/month + usage

0

1

1

Last modified

2 days ago

Contact

If you encounter any issues or need to exchange information, please feel free to contact us through the following link: My profile

Apotea.se Scraper: Extract Swedish Pharmacy Product Data Efficiently

Introduction: Why Scrape Apotea.se?

Apotea is Sweden's largest online pharmacy with over 40,000 products including both prescription and over-the-counter medications, along with thousands of health, beauty, and wellness products. The platform has been voted Sweden's favorite online store multiple times, making it a critical data source for anyone interested in the Swedish healthcare and e-commerce markets.

For market researchers, price comparison platforms, competitors, and data analysts, accessing structured product information from Apotea.se presents unique opportunities. The pharmacy sector is one of the fastest-growing e-commerce industries globally, and understanding product availability, pricing trends, and inventory patterns can provide valuable business intelligence. However, manually collecting this data from thousands of product pages is impractical and time-consuming.

This is where the Apotea.se Product Search Scraper becomes essential. It automates the data extraction process, allowing you to gather comprehensive product information efficiently and at scale.

Overview: Powerful Data Extraction for Swedish Pharmacy Products

The Apotea.se Product Search Scraper is designed to systematically extract product information from search result pages and category listings on Apotea.se. This tool enables you to collect structured data from multiple product pages simultaneously, transforming unstructured web content into actionable datasets.

Key Features and Advantages

This scraper offers several powerful capabilities that make it ideal for various use cases:

  • Batch Processing: Extract data from multiple category pages or search results in a single operation
  • Proxy Integration: Built-in residential proxy support ensures reliable access without detection
  • Scalable Collection: Configure the number of items to extract per URL based on your needs
  • Error Resilience: Automatic retry mechanism handles temporary connection issues
  • Structured Output: Returns clean, organized data in JSON format ready for analysis

Who Should Use This Scraper?

This tool is valuable for:

  • Market Researchers: Analyze product trends and category patterns in the Swedish pharmacy market
  • Price Monitoring Services: Track pricing changes across thousands of health and beauty products
  • E-commerce Competitors: Understand product assortment and positioning strategies
  • Data Analysts: Build datasets for pharmaceutical market analysis and consumer behavior studies
  • Business Intelligence Teams: Monitor inventory availability and product launches

Input Configuration Explained

Example url 1: https://www.apotea.se/ansiktsvatten?sort=name%20asc

Example url 2: https://www.apotea.se/necessarer

Example url 3: https://www.apotea.se/resa?p=2

Example Screenshot of product list by query page:

Input Format Specification

The scraper accepts JSON configuration with precise parameters to customize data extraction according to specific requirements. The input structure includes essential settings for proxy configuration, retry mechanisms, and URL specifications.

Example Input Configuration:

{
"max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided.
"proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot.
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "SG" // You should choose an Country that coincides with the Country you want to collect data from
},
"max_items_per_url": 20,
"ignore_url_failures": true,
"urls": [ // Links to product list by query pages.
"https://www.apotea.se/ansiktsvatten?sort=name%20asc",
"https://www.apotea.se/necessarer",
"https://www.apotea.se/resa?p=2"
]
}

Input Parameters Explained

max_retries_per_url (Integer, recommended: 2-3)

  • Defines how many times the scraper will retry accessing a URL if it fails
  • Higher values increase reliability but slow down the process
  • Value of 2 provides a good balance between speed and resilience

proxy (Object, required for reliable scraping)

  • useApifyProxy: Set to true to enable proxy rotation, preventing detection
  • apifyProxyGroups: Use ["RESIDENTIAL"] for the most reliable access that mimics real user behavior
  • apifyProxyCountry: Choose a country code matching your target audience (e.g., "SE" for Sweden, "SG" for Singapore)
  • Using residential proxies from Sweden ("SE") is recommended for best results

max_items_per_url (Integer, 1-100)

  • Controls how many product items to extract from each URL
  • Keep this reasonable (20-50) to avoid long processing times
  • Adjust based on your needs: lower for sampling, higher for comprehensive collection

ignore_url_failures (Boolean, recommended: true)

  • When set to true, the scraper continues processing other URLs even if some fail
  • This ensures you still get results from successful URLs rather than the entire job failing

urls (Array of strings, required)

  • List of Apotea.se category pages or search result URLs to scrape
  • URLs must be valid product listing pages from apotea.se
  • Can include search parameters like sorting (e.g., ?sort=name%20asc) or pagination (e.g., ?p=2)

Input Requirements and Limitations

  • All URLs must be from the apotea.se domain
  • URLs should point to product listing or search result pages, not individual product pages
  • The scraper processes these listings to extract individual product information

Comprehensive Output Data Structure

You get the output from the apotea.se Property Search Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor.

[ // List of product information
{
"id": "242708",
"name": "A-Derma Cutalgan Ultra-Calming Refreshing Spray 100 ml",
"image": "https://media.apotea.se/product-images/MS/a-derma-cutalgan-spray-100-ml-0.jpg",
"url": "https://www.apotea.se/a-derma-cutalgan-ultra-calming-refreshing-spray-100-ml",
"price": "149 kr",
"currency": "SEK",
"sku": "343371",
"from_url": "https://www.apotea.se/ansiktsvatten?sort=name%20asc"
}, // ... Many other product details
]

Output Fields Explained

ID (String)

  • What it is: The unique internal identifier Apotea uses for this product
  • Purpose: Serves as a primary key for database storage and tracking
  • Use cases:
    • Avoiding duplicate entries when updating your database
    • Tracking the same product over time for price history
    • Linking to other datasets or APIs that reference Apotea products
  • Example: "1234567" uniquely identifies one specific product

Name (String)

  • What it is: The complete product name including brand, product type, and size
  • Purpose: Human-readable product identification
  • Use cases:
    • Display in price comparison interfaces
    • Search and filtering functionality
    • Product categorization and classification
    • Matching products across different platforms
  • Example: "CeraVe Foaming Facial Cleanser 473ml" tells you the brand (CeraVe), type (Foaming Facial Cleanser), and size (473ml)

Image (String - URL)

  • What it is: Direct CDN link to the product's main image
  • Purpose: Visual representation of the product
  • Use cases:
    • Displaying products in your interface or catalog
    • Creating visual price comparison tools
    • Building product galleries or recommendation systems
    • Training machine learning models for product categorization
  • Format: Full HTTPS URL pointing to Apotea's CDN
  • Example: Images are typically high-quality (XL size) suitable for display

URL (String - URL)

  • What it is: The direct link to the product's detail page on Apotea.se
  • Purpose: Source attribution and access to complete product information
  • Use cases:
    • Creating clickable links in comparison tools
    • Attribution and compliance with terms of service
    • Accessing additional information not included in the scrape
    • Verifying data accuracy
  • Example: Each URL leads directly to the product's page where users can purchase

Price (String - Numeric)

  • What it is: The current selling price of the product
  • Format: Decimal number as string (e.g., "189.00")
  • Purpose: Core pricing information for analysis
  • Use cases:
    • Price monitoring and trend analysis
    • Competitive pricing intelligence
    • Building price comparison platforms
    • Calculating average market prices by category
    • Identifying pricing patterns and promotional periods
  • Note: Convert to float/decimal for mathematical operations

Currency (String)

  • What it is: The currency code for the price
  • Purpose: Contextualizes the price field
  • Use cases:
    • Currency conversion calculations
    • Multi-market analysis
    • Ensuring correct price interpretation
  • Value: Typically "SEK" (Swedish Krona) for Apotea.se
  • Example: "SEK" indicates all prices are in Swedish Krona

SKU (String)

  • What it is: Stock Keeping Unit - the product's internal inventory code
  • Purpose: Alternative product identifier used for inventory management
  • Use cases:
    • Cross-referencing products in inventory systems
    • Tracking product variants (different sizes, formulations)
    • Integration with warehouse and fulfillment systems
    • Identifying product families and variants
  • Example: "CERA-473-FOA" might indicate CeraVe, 473ml size, Foaming formula

Data Quality and Completeness

All fields are extracted when available on the product listing. Occasionally, certain fields may be empty if the information isn't displayed on the listing page:

  • Missing images might return an empty string or placeholder
  • Prices should always be present for active products
  • SKUs are typically available for inventory tracking

How to Use the Scraper: Step-by-Step Guide

Successfully extracting data from Apotea.se involves several straightforward steps:

Step 1: Identify Target Categories

Before scraping, determine which product categories or search results you need. Browse Apotea.se to find relevant category URLs. Examples include:

  • Skincare categories: facial cleansers, moisturizers, serums
  • Personal care: cosmetics bags, travel essentials
  • Health products: vitamins, supplements, first aid

Step 2: Configure Your Input

Create your JSON configuration with appropriate parameters:

  • Set max_items_per_url based on category size (start with 20 for testing)
  • Configure proxy settings with country "SE" for best results
  • Add all target URLs to the urls array
  • Set max_retries_per_url to 2 for reliable extraction

Step 3: Run the Scraper

Execute the scraper with your configuration. The process typically takes a few minutes depending on the number of URLs and items requested.

Step 4: Process and Analyze Results

Once complete, you'll receive a JSON array containing all extracted products. You can:

  • Import into a database for storage and querying
  • Convert to CSV for spreadsheet analysis
  • Feed into analytics tools or dashboards
  • Use for automated price monitoring systems

Best Practices and Tips

Optimize Your Scraping Strategy:

  • Start with a small subset of URLs to test your configuration
  • Use appropriate max_items_per_url values - don't request more data than you need
  • Schedule regular scraping runs to track changes over time rather than one-time bulk extraction

Handle Rate Limiting:

  • Always use residential proxies to avoid blocks
  • Set reasonable retry limits (2-3 maximum)
  • Space out large scraping jobs if extracting from many categories

Ensure Data Quality:

  • Validate extracted data before using it in production systems
  • Check for missing or null values in critical fields
  • Monitor for changes in website structure that might affect extraction

Common Issues and Solutions:

  • Empty results: Verify URLs are correct and point to listing pages, not individual products
  • Proxy errors: Ensure proxy configuration is correct and you have sufficient proxy credits
  • Timeout failures: Reduce max_items_per_url or increase max_retries_per_url
  • Inconsistent data: Some product listings may have incomplete information; filter your results accordingly

Benefits and Real-World Applications

Time and Resource Efficiency

Manual data collection from thousands of products would require hundreds of hours. This scraper completes the same task in minutes, freeing your team to focus on analysis and strategy rather than data gathering. A single run can extract information from hundreds or thousands of products that would take days to collect manually.

Business Applications

Competitive Intelligence: Monitor competitor pricing strategies and product assortments. Identify gaps in your own product offering or opportunities for better positioning.

Market Research: Analyze trends in the Swedish pharmacy and health products market. Track which product categories are growing, identify emerging brands, and understand seasonal patterns.

Price Monitoring: Build automated systems that track price changes across categories. Alert your team when competitors adjust prices or launch promotions, enabling rapid competitive response.

Inventory Planning: Understand product availability patterns and stock levels. Identify frequently out-of-stock items that might indicate high demand.

Data-Driven Decision Making: Use structured product data to support strategic decisions about market entry, product selection, or pricing strategies.

Integration Possibilities

The structured JSON output integrates seamlessly with:

  • Business intelligence platforms (Tableau, Power BI)
  • Database systems (PostgreSQL, MongoDB)
  • Analytics frameworks (Python pandas, R)
  • Custom dashboards and monitoring systems
  • Automated alerting and notification systems

Conclusion: Transform Web Data into Business Intelligence

The Apotea.se Product Search Scraper transforms unstructured web content into actionable business intelligence. By automating the extraction of product information from Sweden's largest online pharmacy, you gain access to valuable market data that would otherwise require significant manual effort to collect.

Whether you're conducting competitive analysis, monitoring prices, researching market trends, or building data-driven applications, this scraper provides the foundation for informed decision-making. The structured output format ensures your data is immediately usable for analysis, visualization, or integration into existing systems.

Ready to start extracting valuable product data from Apotea.se? Configure your input parameters, specify your target categories, and let the scraper do the heavy lifting while you focus on deriving insights from the data.

Related Actors

Your feedback

We are always working to improve Actors' performance. So, if you have any technical feedback about apotea.se Property Search Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.