Pricing
$9.99/month + usage
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Stradivarius
Scrape products from stradivarius.com websites. All countries and languages. Scrape the full website or scrape by product category or individual product. Fast and efficient. n8n node: n8n-nodes-stradivarius
Pricing
$9.99/month + usage
Rating
0.0
(0)
Developer
Actor stats
6
Bookmarked
17
Total users
1
Monthly active users
2 months ago
Last modified
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Stradivarius Products Scraper
This tool scrapes product data from Stradivarius. It works with all website countries and languages.
Checkout our other scrapers: Zara | Pull&Bear | Bershka | MassimoDutti | Oysho | ZaraHome
n8n node: n8n-nodes-stradivarius
Features
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Detailed Scrape:
- Scrapes individual product pages for detailed information
- Fields include: name, description, price, colors, sizes, SKUs, category, composition, sustainability information, images, first available date, promotions, product page url, plus many more.
- Approx run cost: 1000 products in 5 minutes, actor usage cost 24 cents (including proxy).
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Granularity: Scrape:
- The entire website, e.g. https://www.stradivarius.com/gb/
- Product category pages, e.g. https://www.stradivarius.com/gb/women/clothing/jeans-n1953
- Product pages, e.g. https://www.stradivarius.com/gb/long-sleeve-basic-tshirt-l06523875?categoryId=1020047036&colorId=004&pelement=475933916
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Multiple URLs: Scrape data from multiple start urls within a single scrape, including from different country websites.
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Set Limits: Define the maximum products and categories to scrape per url.
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Deduplication: Unique products are returned, even across multiple start URLs. This is useful in instances where the same product appears in multiple subcategories. The scrapper will do it's best to deduplicate results - as pages are scrapped concurrently, the scrapper may occassionally not identify every duplicate product.
Notes
- This tool is configured to use residential proxies which are necessay to avoid IP address blocking. It is effecient with data download sizes which optimises run time and cost.
- The output is in JSON format due to the nested data structure.
- The fields
colors,sizes,categoryandmainImagesummarize data from thecolorsSizesImagesJSONjson field. This allows for the key information to be exported in a flat structure to csv and be easily read by Excel or GoogleSheets. - Detailed
colorandsizeinformation is contained within thecolorsSizesImagesJSONjson field. - Each line/item in the result is a unique product within which the can be multiple colors and sizes.
- The field names match the field names returned by the website.
- Occassionally the scraper may return less results than requested - this can happen when the website returns dummy products with blank information. The scrapper filters these out.
Known Scraping Challenges
- Occasionally the scrape might not start or the scrape might stop due to requests being blocked by the website. A '403 error' will appear in the logs. This is common in webscrapping and difficult to avoid, but it can be solved by re-running the scrape.
- Actual results may be lower than the max_results requested due to the way products are displayed on the website. On the website individual colors of the same item may appear separately, however the scraper will retrieve the 'product bundle' containing all colours of that item. So requesting 5 products might return 1 result if 5 colour variations of the same product where displayed separately on the webpage.
Resources
- Getting Started with Apify:
- Getting Started with Apify 1/4 - Introduction
- Getting Started with Apify 4/4 - Integrations
- Try Apify for Free - 2,000+ Pre-built Web Scraping and Automation Tools
- Integration with Make, GitHub, Zapier, Google Drive, and other apps
- How to Train ChatGPT on Your Own Data - Build a Custom AI Chatbot
- Apify Platform Documentation
Example Input
Example Output
