We develop SaaS software for Zalando web scraping, it runs at Amazon and Azure clouds.
You can order Zalando data extraction project at our company.
Contact sales to quote your project.
Receive reports with actual Zalando prices in real-time. 5 excel reports with different design + 1 xml report. API access.
Extract name, description, sku, id, images, features, options. Save to files: csv,xml,json,excel.
Sync products from Zalando directly with your online store directly to database or API
API is available for web scraper
Analyse price changes at Zalando site
Reprice your products using our software.
We have own solution for web scraping and we can extract data from any web site.
We provide managed Zalando web scraping or Zalando price monitoring services for business.
When you need to scrape data
from Zalando site
1 time or periodically.
Using our web scraping services you can extract Zalando data and save to
csv, json, xml or excel files.
Common questions about Lazada web scraping:
|Do you scrape data?||Yes, we do that from website.|
|Do you save data to files?||Yes. Json,xml,csv or json.|
|Can you extract data daily?||Yes, we can.|
|Can I determine urls to extract?||Yes, you can.|
|Can I extract all items from category?||Yes, you can.|
Zalando is an e-commerce shop that is based in Berlin. The store sells all kinds of shoes, fashion and beauty products. The store was founded in Germany in 2008 and has been operating in 15 European countries and worldwide with the help of subsidiary companies.
All products they sell have a product description, price, product variant and discount offer attached. Sellers have items they like on a wishlist where they can later add them on the cart.
Zalando has a competitive advantage over other online stores in terms of customer-centred shipping, returns and payment policies. They offer a system of â€˜payment after deliveryâ€™, and it involves a certain risk to the company. This system attracts many customers and not forgetting about their 100 days return policy. The system also has a strong influence on first-time buyers who do not trust online selling stores.
|name, sku, price, description|
|quantity or availability||If quantity is accessible we extract as is , if no we determine availability and if item is available set quantity = 5 if no = 0|
|all images||all images will be scraped and we will save them as urls.|
|features||each feature will extracted separately and will saved to appropriate columns or tags|
|options (size, color etc)||each combination with specific set of size or color will be saved correctly and all related images will be saved for such combination|
|categories with structure||you can extract full category path for each items and to get full hierarchy for source catalog|