DatasetsZalando Datasets
Explore Zalando market trends to refine your fashion retail strategies and decision-making
- 9M+ records available
- Get accurate Zalando data
- Free Zalando data samples for download
Zalando dataset sample
The Zalando dataset includes all major data points: URL, SKU, condition, product name, brand, description, manufacturer, initial price, final price, currency, inventory, main image, root category, and more. Subsets are available by categories and specific data points.
Subscribe to a data feed for new or updated records
Benefit from strict data validation for accuracy and reliability
Enjoy data collection management with zero effort
Streamline operations with easy data access via API
Datasets Pricing
- Clean and validated
- Refreshed monthly
- JSON/CSV/Parquet
Zalando datasets tailored to your needs
Data subscription
Subscribe to access datasets at a significantly reduced cost.
File output formats
JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.
Flexible delivery
Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.
Scalable data
Scale without worrying about infra, proxy servers, or blocks.
Cost savings
Customize any dataset using filters and formatting options.
Code maintenance
Datasets are maintained based on website structure changes.
Simplified integrations
Benefit from integrations with Snowflake and AWS.
24/7 support
A dedicated team of data professionals is here to help.
Leaders in compliance
Data is ethically obtained and compliant with all privacy laws.
Get structured and reliable Zalando data
We’ll provide the data while you focus on the rest
High-volume web data
With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.
Data for immediate use
Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.
Automated data flow
Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.
How companies use Zalando datasets
Pricing Optimization
Identify Gaps
Market Strategy Optimization
Zalando Dataset FAQs
What data is included in the Zalando dataset?
The Zalando dataset includes all major data points: URL, SKU, condition, product name, brand, description, manufacturer, initial price, final price, currency, inventory, main image, root category, and more. Subsets are available by categories and specific data points.
Can I get updates for my purchased Zalando dataset?
Yes, you can get updates to your Zalando dataset on a daily, weekly, monthly, or custom basis.
Can I purchase a subset of the Zalando dataset?
Yes, you can purchase a Zalando subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.
In what format will I receive the Zalando dataset?
Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.
Can I scrape Zalando public data by myself?
If you don’t want to purchase a dataset, you can start scraping Zalando data using our Zalando scraper.
Can I get a data sample?
Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.
Can I request specific data points from the Zalando dataset?
Yes, you can request specific data points from the Zalando dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.
Is it possible to integrate the Zalando dataset directly into my existing systems?
Absolutely, the Zalando dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.
How Zalando datasets can help me?
Use our Zalando DE & UK products dataset to get a complete snapshot of new products, categories, pricing, and consumer reviews. Depending on your needs, you may purchase the entire dataset or a customized subset.
Popular use cases: Identify product inventory gaps and increased demand for certain products, analyze consumer sentiment and define a pricing strategy by locating similar products and categories among your competitors.