H&M Datasets

We will create a custom H&M dataset tailored to your specific requirements. Data points may include URL, SKU, product name, description, country, in stock, size, color, main image, category name, and more. Subsets are available by categories and specific data points.

Yes, you can get updates to your H&M dataset on a daily, weekly, monthly, or custom basis.

Yes, you can purchase a H&M subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.

Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

If you don’t want to purchase a dataset, you can start scraping H&M data using our web scraping API.

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.

Yes, you can request specific data points from the H&M dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.

Absolutely, the H&M 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.

Utilize our H&M dataset for diverse applications to enrich retail strategies and market insights. Analyzing this dataset can aid in understanding fashion retail dynamics and trends, empowering organizations to refine product offerings and marketing strategies. Access the entire dataset or tailor a subset to fit your requirements.

Popular use cases include optimizing product assortment based on consumer buying behavior, performing detailed customer analysis and segmentation, and identifying and forecasting emerging trends in fashion consumption.

Delivery methods include: Email, API download, Webhook, Amazon S3, Google Cloud storage, Google Cloud PubSub, Microsoft Azure, Snowflake, and SFTP.